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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-warning\">\n",
    "이 노트북을 처음 열어보면 아마도 그림이나 표의 수식 등이 제대로 표시되지 않고 있을 것입니다. 이때는 오른쪽 상단의 \"Not Trusted\"버튼을 눌러서 나오는 안내창의 \"Trust\"를 선택해주세요. 노트북에 저장되어 있던 결과들이 제대로 표시될 것입니다. Jupyter Notebook이 아닌 Jupyter Lab 환경이라면 상단 \"View\" 메뉴의 \"Activate Command Palette\" 항목을 선택한 다음 \"Trust Notebook\"이라는 기능을 검색하여 실행하면 됩니다. 검색을 할 때에는 앞 글자 \"tr\"만 입력하여도 해당 항목이 나옵니다.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 광합성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "지난 시간에는 식물의 성장을 logistic, exponential, Gompertz 등 간단한 성장 곡선 모형으로 모의해보았습니다. 이번 시간에는 실제 식물이 어떻게 그러한 곡선의 형태로 성장을 할 수 있는지 조금 더 고민해보면서 특히 광합성을 표현하는 방법에 대해 살펴보겠습니다. 다른 기작들과 마찬가지로 광합성 역시 그 구현 방식에 따라 상대적으로 단순한 모형에서 부터 꽤나 복잡한 기체교환 모형까지 다양하게 생각해볼 수 있습니다. 하지만 작물모형 관점에서는 결국 성장량 변화($\\frac{dW}{dt}$)를 표현하는 방식의 차이일뿐이며 기본적으로는 시간에 따라 생체량($W$)이 누적되어 수량이 결정된다는 기본 가정을 계속 가지고 간다는 점을 기억해주세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
       "children": [],
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      "text/html": [
       "<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">\n",
       "<p>The WebIO Jupyter extension was not detected. See the\n",
       "<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/providers/ijulia/\" target=\"_blank\">\n",
       "    WebIO Jupyter integration documentation\n",
       "</a>\n",
       "for more information.\n",
       "</div>\n"
      ],
      "text/plain": [
       "WebIO._IJuliaInit()"
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     "output_type": "display_data"
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   ],
   "source": [
    "using Cropbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
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       "<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">\n",
       "<p>The WebIO Jupyter extension was not detected. See the\n",
       "<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/providers/ijulia/\" target=\"_blank\">\n",
       "    WebIO Jupyter integration documentation\n",
       "</a>\n",
       "for more information.\n",
       "</div>\n"
      ],
      "text/plain": [
       "WebIO._IJuliaInit()"
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   "source": [
    "Cropbox.Interact.WebIO.setup(:ijulia)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1. 복습"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "식물이 지수적 성장을 계속할 수는 없기 때문에 언젠가 성장이 둔화되는 상황을 표현해야 하는데요. Logistic 모형에서는 주어진 최종 생체량(`Wf`)에 따라 S자 형태로 성장이 둔화되도록 처리하여 해결하고자 하였습니다. 이와는 달리 Gompertz 모형에서는 성장률(`r`)이 시간에 따른 성장 효율 저하도(`α`)에 따라 감소하는 접근 방식을 택하고 있었습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "\\begin{align}\n",
    "\\frac{dW}{dt} &= r_t W_t \\\\\n",
    "\\frac{dr}{dt} &= -\\alpha r_t \\\\\n",
    "W_{t = 0} &= W_0 \\\\\n",
    "r_{t = 0} &= r_0\n",
    "\\end{align}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 | 값 | 단위 | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $\\alpha$ | 0.005 | $\\mathrm{d^{-1}}$ | 시간에 따른 성장 효율 저하도 |\n",
    "| $r_0$ | 0.05 | $\\mathrm{g}\\ \\mathrm{g^{-1}}\\ \\mathrm{d^{-1}}$ | 효율 저하 이전의 초기 최적 성장률 |\n",
    "| $r$ | - | $$\\mathrm{g}\\ \\mathrm{g^{-1}}\\ \\mathrm{d^{-1}}$$ | 상대성장률 |\n",
    "| $$W_0$$ | 0.25 | $\\mathrm{g}$ | 최초 생체량 |\n",
    "| $W$ | - | $\\mathrm{g}$ | 시간별 생체량 |\n",
    "| $t$ | - | $\\mathrm{d}$ | 시간 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이쯤에서 지난 시간의 기억을 되살려 Gompertz 모형을 Cropbox 기반으로 다시 한번 만들어보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gompertz"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Gompertz(Controller) begin\n",
    "    α:  decay_rate          ~ preserve(parameter, u\"d^-1\")\n",
    "    r0: initial_growth_rate ~ preserve(parameter, u\"g/g/d\")\n",
    "    W0: initial_biomass     ~ preserve(parameter, u\"g\")\n",
    "\n",
    "    r(r, α): growth_rate => (-α * r) ~ accumulate(init = r0, u\"g/g/d\")\n",
    "    W(W, r): biomass     => (r * W)  ~ accumulate(init = W0, u\"g\")\n",
    "\n",
    "    t(context.clock.time): time ~ track(u\"d\")\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "코드가 올바로 만들어졌다면 이제 모수에 따라 움직이는 그래프를 그려서 Gompertz 모형이 실제 어떤 식으로 작동하는지 살펴보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
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       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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(WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"16074958550390773952\\\",\\\"id\\\":\\\"2520184759062259646\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"16074958550390773952\\\",\\\"id\\\":\\\"9836349755906787163\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c853cad7a3e123085fa7960dd53fd3d4c05dc309-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/fab584ebb4dc64eb3ddf5ca7c73b2e76fd533845-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol, Any}(:className => \"field interact-widget\")), Observable{Cropbox.Plot{Gadfly.Plot}} with 0 listeners. Value:\n",
       "Gadfly.Plot(Gadfly.Layer[Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [0.55, 0.5511458333333333, 0.552293575394242, 0.5534432283663927, 0.5545947944341898, 0.5557482757827715, 0.5569036745980084, 0.5580609930665001, 0.5592202333755733, 0.5603813977132784  …  63.424648447324756, 63.43124764017109, 63.43784476969889, 63.44443983626741, 63.45103284023605, 63.457623781964436, 63.46421266181234, 63.470799480139746, 63.477384237306815, 63.483966933673884], :x => [0.0, 0.041666666666666664, 0.08333333333333333, 0.125, 0.16666666666666666, 0.20833333333333331, 0.25, 0.29166666666666663, 0.3333333333333333, 0.375  …  299.625, 299.66666666666663, 299.7083333333333, 299.75, 299.79166666666663, 299.8333333333333, 299.875, 299.91666666666663, 299.9583333333333, 300.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0)], nothing, Data(\n",
       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0.0, 300.0, 0, 400, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"t (d)\", :auto), Gadfly.Guide.YLabel(\"W (g)\", :auto)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(Gompertz, :t, :W;\n",
    "    parameters = :Gompertz => (;\n",
    "        α  = 0:0.001:0.02,\n",
    "        r0 = 0:0.01:0.1,\n",
    "        W0 = 0.1:0.01:1,\n",
    "    ),\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 400),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "여기서 눈여겨보아야 할 것은 성장률(`r`)입니다. 성장 효율 저하도(`α`)에 따라 감소하도록 되어 있는 이 성장률은 실제 식물 성장에서 어떤 의미가 있는 것일까요?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
       "children": [
        {
         "children": [
          "Gompertz"
         ],
         "instanceArgs": {
          "namespace": "html",
          "tag": "div"
         },
         "nodeType": "DOM",
         "props": {
          "style": {
           "color": "darkorchid",
           "font-family": "monospace"
          }
         },
         "type": "node"
        },
        {
         "children": [
          {
           "children": [
            {
             "children": [
              {
               "children": [
                {
                 "children": [
                  "α"
                 ],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "label"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "className": "interact ",
                  "style": {
                   "color": "royalblue",
                   "padding": "5px 10px 0px 10px"
                  }
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-left"
               },
               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "input"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}",
                   "orient": "horizontal",
                   "type": "range"
                  },
                  "className": "slider slider is-fullwidth",
                  "max": 21,
                  "min": 1,
                  "step": 1,
                  "style": {}
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-center"
               },
               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "p"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "text: formatted_val"
                  }
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-right"
               },
               "type": "node"
              }
             ],
             "instanceArgs": {
              "namespace": "html",
              "tag": "div"
             },
             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget",
              "style": {
               "font-family": "monospace",
               "width": "25%"
              }
             },
             "type": "node"
            }
           ],
           "instanceArgs": {
            "handlers": {
             "changes": [
              "(function (val){return (val!=this.model[\"changes\"]()) ? (this.valueFromJulia[\"changes\"]=true, this.model[\"changes\"](val)) : undefined})"
             ],
             "index": [
              "(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
             ]
            },
            "id": "13712546257730639579",
            "imports": {
             "data": [
              {
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        "namespace": "html",
        "tag": "div"
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       ">\n",
       "    <script>\n",
       "    (function(){\n",
       "    // Some integrations (namely, IJulia/Jupyter) use an alternate render pathway than\n",
       "    // just putting the html on the page. If WebIO isn't defined, then it's pretty likely\n",
       "    // that we're in one of those situations and the integration just isn't installed\n",
       "    // correctly.\n",
       "    if (typeof window.WebIO === \"undefined\") {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"15124952464330666717\"]')\n",
       "            .innerHTML = (\n",
       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
       "                '</div>'\n",
       "            );\n",
       "        return;\n",
       "    }\n",
       "    WebIO.mount(\n",
       "        document.querySelector('[data-webio-mountpoint=\"15124952464330666717\"]'),\n",
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(WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"13712546257730639579\\\",\\\"id\\\":\\\"4445412567246842577\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? 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1.75,4 1.76,4 1.78,4.01 1.8,4.01 1.81,4.01 1.83,4.02 1.84,4.02 1.86,4.02 1.87,4.03 1.89,4.03 1.91,4.03 1.92,4.04 1.94,4.04 1.95,4.04 1.97,4.05 1.98,4.05 2,4.05 2.01,4.06 2.03,4.06 2.05,4.06 2.06,4.07 2.08,4.07 2.09,4.07 2.11,4.08 2.12,4.08 2.14,4.08 2.16,4.09 2.17,4.09 2.19,4.09 2.2,4.1 2.22,4.1 2.23,4.1 2.25,4.11 2.26,4.11 2.28,4.11 2.3,4.12 2.31,4.12 2.33,4.12 2.34,4.13 2.36,4.13 2.37,4.14 2.39,4.14 2.41,4.14 2.42,4.15 2.44,4.15 2.45,4.15 2.47,4.16 2.48,4.16 2.5,4.16 2.51,4.17 2.53,4.17 2.55,4.17 2.56,4.18 2.58,4.18 2.59,4.18 2.61,4.19 2.62,4.19 2.64,4.19 2.65,4.2 2.67,4.2 2.69,4.2 2.7,4.21 2.72,4.21 2.73,4.21 2.75,4.22 2.76,4.22 2.78,4.22 2.8,4.23 2.81,4.23 2.83,4.23 2.84,4.24 2.86,4.24 2.87,4.24 2.89,4.25 2.9,4.25 2.92,4.25 2.94,4.26 2.95,4.26 2.97,4.26 2.98,4.27 3,4.27 3.01,4.27 3.03,4.27 3.05,4.28 3.06,4.28 3.08,4.28 3.09,4.29 3.11,4.29 3.12,4.29 3.14,4.3 3.15,4.3 3.17,4.3 3.19,4.31 3.2,4.31 3.22,4.31 3.23,4.32 3.25,4.32 3.26,4.32 3.28,4.33 3.3,4.33 3.31,4.33 3.33,4.34 3.34,4.34 3.36,4.34 3.37,4.35 3.39,4.35 3.4,4.35 3.42,4.36 3.44,4.36 3.45,4.36 3.47,4.37 3.48,4.37 3.5,4.37 3.51,4.38 3.53,4.38 3.55,4.38 3.56,4.39 3.58,4.39 3.59,4.39 3.61,4.4 3.62,4.4 3.64,4.4 3.65,4.41 3.67,4.41 3.69,4.41 3.7,4.42 3.72,4.42 3.73,4.42 3.75,4.43 3.76,4.43 3.78,4.43 3.8,4.44 3.81,4.44 3.83,4.44 3.84,4.44 3.86,4.45 3.87,4.45 3.89,4.45 3.9,4.46 3.92,4.46 3.94,4.46 3.95,4.47 3.97,4.47 3.98,4.47 4,4.48 4.01,4.48 4.03,4.48 4.04,4.49 4.06,4.49 4.08,4.49 4.09,4.5 4.11,4.5 4.12,4.5 4.14,4.51 4.15,4.51 4.17,4.51 4.19,4.52 4.2,4.52 4.22,4.52 4.23,4.53 4.25,4.53 4.26,4.53 4.28,4.53 4.29,4.54 4.31,4.54 4.33,4.54 4.34,4.55 4.36,4.55 4.37,4.55 4.39,4.56 4.4,4.56 4.42,4.56 4.44,4.57 4.45,4.57 4.47,4.57 4.48,4.58 4.5,4.58 4.51,4.58 4.53,4.59 4.54,4.59 4.56,4.59 4.58,4.6 4.59,4.6 4.61,4.6 4.62,4.6 4.64,4.61 4.65,4.61 4.67,4.61 4.69,4.62 4.7,4.62 4.72,4.62 4.73,4.63 4.75,4.63 4.76,4.63 4.78,4.64 4.79,4.64 4.81,4.64 4.83,4.65 4.84,4.65 4.86,4.65 4.87,4.66 4.89,4.66 4.9,4.66 4.92,4.66 4.94,4.67 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       "6, nothing)), Set{String}(), nothing, WebIO.Asset[WebIO.Asset(\"js\", \"knockout\", \"/Users/tomyun/.julia/packages/Knockout/3gjS1/src/../assets/knockout.js\"), WebIO.Asset(\"js\", \"knockout_punches\", \"/Users/tomyun/.julia/packages/Knockout/3gjS1/src/../assets/knockout_punches.js\"), WebIO.Asset(\"js\", nothing, \"/Users/tomyun/.julia/packages/InteractBase/o1I6G/src/../assets/all.js\"), WebIO.Asset(\"css\", nothing, \"/Users/tomyun/.julia/packages/InteractBase/o1I6G/src/../assets/style.css\"), WebIO.Asset(\"css\", nothing, \"/Users/tomyun/.julia/packages/Interact/pVyN2/src/../assets/bulma_confined.min.css\")], Dict{Any, Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")], \"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(32), Set{WebIO.AbstractConnection}(), Condition(Base.InvasiveLinkedList{Task}(Task (runnable) @0x000000016a902760, Task (runnable) @0x000000016a902760), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"0.0\\\",\\\"0.01\\\",\\\"0.02\\\",\\\"0.03\\\",\\\"0.04\\\",\\\"0.05\\\",\\\"0.06\\\",\\\"0.07\\\",\\\"0.08\\\",\\\"0.09\\\",\\\"0.1\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"3240076548114206083\\\",\\\"id\\\":\\\"8192866228045257484\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"3240076548114206083\\\",\\\"id\\\":\\\"5747002155652071212\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"3240076548114206083\\\",\\\"id\\\":\\\"8192866228045257484\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"3240076548114206083\\\",\\\"id\\\":\\\"5747002155652071212\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c853cad7a3e123085fa7960dd53fd3d4c05dc309-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/fab584ebb4dc64eb3ddf5ca7c73b2e76fd533845-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol, Any}(:className => \"field interact-widget\")), Observable{Cropbox.Plot{Gadfly.Plot}} with 0 listeners. Value:\n",
       "Gadfly.Plot(Gadfly.Layer[Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [0.05, 0.04997916666666667, 0.04995834201388889, 0.049937526038049775, 0.04991671873553392, 0.04989592010272745, 0.04987513013601798, 0.04985434883179464, 0.049833576186448056, 0.04981281219637037  …  0.002497146333312398, 0.002496105855673518, 0.002495065811566987, 0.0024940262008121676, 0.002492987023228496, 0.002491948278635484, 0.0024909099668527193, 0.002489872087699864, 0.0024888346409966556, 0.002487797626562907], :x => [0.0, 0.041666666666666664, 0.08333333333333333, 0.125, 0.16666666666666666, 0.20833333333333331, 0.25, 0.29166666666666663, 0.3333333333333333, 0.375  …  299.625, 299.66666666666663, 299.7083333333333, 299.75, 299.79166666666663, 299.8333333333333, 299.875, 299.91666666666663, 299.9583333333333, 300.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0)], nothing, Data(\n",
       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0.0, 300.0, 0.0, 0.1, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"t (d)\", :auto), Gadfly.Guide.YLabel(\"r (d⁻¹)\", :auto)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 5,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(Gompertz, :t, :r;\n",
    "    config = :Gompertz => (;\n",
    "        W0 = 0.25,\n",
    "    ),\n",
    "    parameters = :Gompertz => (;\n",
    "        α  = 0:0.001:0.02,\n",
    "        r0 = 0:0.01:0.1,\n",
    "    ),\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.1),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2. 성장률(`r`) 분해"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "식물 성장에 중요한 영향을 미치는 생리적 현상에는 먼저 광합성과 호흡을 생각해볼 수 있습니다. 광합성(photosynthesis)은 대기중의 이산화탄소($\\mathrm{CO_2}$)을 흡수하여 탄수화물(carbohydrate)를 만들어냅니다. 이렇게 만들어진 탄수화물은 호흡(respiration)을 통해 분해되어 식물체를 유지하기 위한 에너지로 쓰이거나, 새로운 생체량을 만들어내는데 사용됩니다. 이때 전자를 유지호흡(maintenance respiration), 후자를 성장호흡(growth respiration)이라고 구분하는데요. 지금까지 여러가지 성장 곡선으로 표현하고자 하였던 것이 바로 이 성장호흡 부분 되겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2.1. 광합성(`A`)과 호흡(`R`) 분리"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "식물이 성장하기 위해 필요한 기질(substrate)은 광합성을 통해 생성되고, 이중에서 현상유지를 위해 필요한 만큼 유지호흡으로 먼저 사용된다고 가정하면, 그 나머지가 실제 성장을 위해 사용될 것입니다. 이때 광합성 산물인 탄수화물이 100% 그대로 식물의 구조로 변환될 수는 없기 때문에 변환효율을 고려하도록 하겠습니다. 그 결과, 성장률(`r`)은 아래와 같이 광합성(`A`)과 호흡(`R`)의 차이, 그리고 그 변환효율(`c`)로 표현할 수 있습니다. 여기서는 수식을 많이 단순화하였지만 보다 자세한 내용이 궁금하시다면 [Thornley (1970)](https://doi.org/10.1038/227304b0)를 참고해보세요."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "r = c \\cdot (A - R)\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 &nbsp;&nbsp;&nbsp;&nbsp; | 값 | 단위 | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $c$ | - | | 기질 변환효율 |\n",
    "| $A$ | 0.4 | $$\\mathrm{g}\\ \\mathrm{g^{-1}}\\ \\mathrm{d^{-1}}$$ | 탄수화물 등 기질 생산률 |\n",
    "| $R$ | 0.015 | $\\mathrm{g}\\ \\mathrm{g^{-1}}\\ \\mathrm{d^{-1}}$ | 유지호흡률 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "여기서 변환효율은 조금 더 자세히 표현해보도록 하겠습니다. 성장을 통해 새로 만들어지는 구조물을 만들기 위한 재료는 결국 광합성 산물인 탄수화물($\\mathrm{CH_2O}$)에서 유래하게 되는데요. 이 구조물의 상당 부분이 탄소($\\mathrm{C}$)로 구성되어 있다고 가정할 때 1만큼의 탄수화물이 얼마만큼의 생체량으로 변환되는지 그 비율($c_0$)을 생각해볼 수 있습니다. 또한 위에서 언급했던 것처럼 변환 과정 자체의 효율($Y$)을 고려하여 실제 변환비율($c$)은 아래와 같이 정의하겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "c = Y c_0\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 | 값 | 단위 | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $Y$ | 0.75 | - | 생체량 변환 과정의 효율 |\n",
    "| $c_0$ | 0.889 | - | 생체량의 45%가 탄수화물($\\mathrm{CH_2O}$)의 탄소($\\mathrm{C}$)에서 유래한다고 가정할 때의 변환비율 ($\\frac{\\frac{12\\ \\mathrm{g}\\ \\mathrm{mol^{-1}}}{30\\ \\mathrm{g}\\ \\mathrm{mol^{-1}}}}{0.45}$) |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 위의 수식을 모형 명세로 표현해보겠습니다. 우선 생체량(`W`) 관련 변수들은 이전과 동일한 형태로 들어갑니다.\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "\\frac{dW}{dt} &= r W_t \\\\\n",
    "W_{t = 0} &= W_0\n",
    "\\end{align}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 | 값 | 단위 | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $t$ | - | $\\mathrm{d}$ | 시간 |\n",
    "| $r$ | - | $$\\mathrm{g}\\ \\mathrm{g^{-1}}\\ \\mathrm{d^{-1}}$$ | 상대성장률 |\n",
    "| $$W_0$$ | 0.25 | $\\mathrm{g}$ | 최초 생체량 |\n",
    "| $W$ | - | $\\mathrm{g}$ | 시간별 생체량 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "새로 추가되는 부분은 상대성장률(`r`)을 광합성(`A`)과 호흡(`R`), 그리고 변환효율(`c`) 관련 변수들입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Growth0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Growth0(Controller) begin\n",
    "    t(context.clock.time) ~ track(u\"d\")\n",
    "\n",
    "    W0:         initial_biomass             => 0.25        ~ preserve(parameter, u\"g\")\n",
    "    W(r, W):    biomass                     => r * W       ~ accumulate(init = W0, u\"g\")\n",
    "\n",
    "    Y:          growth_yield                => 0.75        ~ preserve(parameter)\n",
    "    c0:         potential_conversion_factor => 0.889       ~ preserve(parameter)\n",
    "    c(c0, Y):   conversion_factor           => c0 * Y      ~ track\n",
    "\n",
    "    A:          assimilation_rate           => 0.4         ~ preserve(parameter, u\"g/g/d\")\n",
    "    R:          respiration_rate            => 0.015       ~ preserve(parameter, u\"g/g/d\")\n",
    "\n",
    "    r(c, A, R): growth_rate                 => c * (A - R) ~ track(u\"g/g/d\")\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "변수들간의 관계도를 `Cropbox.dependency()` 함수를 이용해 그려보겠습니다. 이 관계도를 통해 각 변수들이 서로 어떻게 관련되어 있는지 확인해볼 수 있습니다. 예를 들어 생장률(`r`)은 광합성(`A`), 호흡(`R`), 변환비율(`c`)에 기반하여 계산된다는 것을 화살표의 연결 방향으로 알 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "\u001b[90m[\u001b[39m\u001b[94mconfig\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc0\u001b[39m\u001b[90m → \u001b[39m\u001b[94mY\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mr\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW0\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘context\u001b[39m\u001b[90m → \u001b[39m\u001b[94mcontext\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆W\u001b[39m\u001b[90m → \u001b[39m\u001b[94mt\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆context\u001b[39m\u001b[90m]\u001b[39m"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.dependency(Growth0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "방금 만든 시스템에 정의되어 있는 모수들을 확인하기 위해 `parameters()` 함수를 호출하면 해당 값들이 담긴 설정(configuration)을 만들어낼 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Config for 1 system:\n",
       "  \u001b[95mGrowth0\u001b[39m\n",
       "    \u001b[94mW0\u001b[39m\u001b[90m = \u001b[39m0.25 g\n",
       "    \u001b[94mY \u001b[39m\u001b[90m = \u001b[39m0.75\n",
       "    \u001b[94mc0\u001b[39m\u001b[90m = \u001b[39m0.889\n",
       "    \u001b[94mA \u001b[39m\u001b[90m = \u001b[39m0.4 d⁻¹\n",
       "    \u001b[94mR \u001b[39m\u001b[90m = \u001b[39m0.015 d⁻¹"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters(Growth0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "그럼 이제 모의를 수행해보겠습니다. `simulate()`로 모의를 따로 진행하지 않고, `visualize()` 함수를 이용하여 모의를 수행하여 그대로 그래프를 그려보았습니다. 300일간의 생체량(`W`) 변화입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth0, :t, :W;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    ")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "지난 시간에 보았던 지수적(exponential) 성장곡선처럼 비현실적인 증가를 보이고 있습니다. 상대성장률(`r`)이 항상 같은 값으로 고정되어 있기 때문에 끝없이 성장을 하기 때문입니다. 그래프로 확인해보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth0, :t, :r;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.5),\n",
    ")"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2.2. 성장 저하 1안 - 변환효율 (`Y`)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "그럼 이제 모형을 조금씩 수정하며 보다 현실적으로 만들어보겠습니다. 시간에 따라 성장률(`r`)이 감소하도록 앞서 복습했던 Gompertz 모형의 효율 저하도(decay rate) 개념을 도입해보겠습니다.\n",
    "\n",
    "$$r = c \\cdot (A - R)$$\n",
    "\n",
    "성장률(`r`)은 좌측의 변환비율(`c`)과 우측의 광합성(`A`), 호흡(`R`) 차이의 두 부분으로 구성되는데요. 이중에서 먼저 변환비율(`c`)에 효율 저하도(`α`)를 적용해보겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "\\begin{align}\n",
    "\\frac{dY}{dt} &= -\\alpha Y_t \\\\\n",
    "Y_{t = 0} &= Y_0\n",
    "\\end{align}\n",
    "$$"
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   "cell_type": "markdown",
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   "source": [
    "| 이름 | 값 | 단위 &nbsp; | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $\\alpha$ | 0.03 | $\\mathrm{d^{-1}}$ | 시간에 따른 성장 효율 저하도 |\n",
    "| $Y_0$ | 0.75 | - | 효율 저하 이전의 최적 변환효율 |\n",
    "| $Y$ | - | - | 시간에 따라 저하되는 실제 생체량 변환효율 |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Growth1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Growth1(Growth0, Controller) begin\n",
    "    α:          decary_rate                 => 0.03        ~ preserve(parameter, u\"d^-1\")\n",
    "    Y0:         potential_growth_yield      => 0.75        ~ preserve(parameter)\n",
    "    Y(α, Y):    growth_yield                => -α*Y        ~ accumulate(init = Y0)\n",
    "end"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "변환효율(`Y`)가 이제는 더 이상 고정된 모수가 아니라 매번 갱신되는 상태변수로 바뀌었습니다. 대신 효율 저하도(`α`)와 최적 변환효율(`Y0`)이 새로운 모수로 들어갔습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "\u001b[90m[\u001b[39m\u001b[94mconfig\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc0\u001b[39m\u001b[90m → \u001b[39m\u001b[94mα\u001b[39m\u001b[90m → \u001b[39m\u001b[94mY0\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW0\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘context\u001b[39m\u001b[90m → \u001b[39m\u001b[94mcontext\u001b[39m\u001b[90m → \u001b[39m\u001b[94mY\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mr\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆Y\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆W\u001b[39m\u001b[90m → \u001b[39m\u001b[94mt\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆context\u001b[39m\u001b[90m]\u001b[39m"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.dependency(Growth1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 생체량(`W`) 변화가 앞선 보았던 Gompertz 성장곡선과 유사한 형태가 되었습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "visualize(Growth1, :t, :W;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    ")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "성장률(`r`)이 시간에 따라 아래와 같이 감소하기 때문입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "visualize(Growth1, :t, :r;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.5),\n",
    ")"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "직접적으로는 변환효율(`Y`)이 감소하는 영향이 그대로 반영되고 있기 때문입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth1, :t, :Y;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    ")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "대신 광합성(`A`)과 호흡(`R`)에는 아무런 변화가 없습니다. 과연 식물 성장에 따라 단위 생체량 기준 광합성과 호흡량에 아무런 변화가 없는 것은 괜찮을까요?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth1, :t, [:A, :R];\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.5),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2.3. 성장 저하 2안 - 광합성(`A`)과 호흡(`R`)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이번에는 변환효율(`Y`) 대신 광합성(`A`)과 호흡(`R`) 자체의 효율이 시간에 따라 감소한다고 가정해보겠습니다. 앞에서와 동일하게 효율 저하도(`α`)를 추가해보세요. 참고로 `α`(a가 아닌 알파)를 입력하려면 `\\alpha`라고 친 다음 탭(tab)키를 누르시면 됩니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Growth2"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Growth2(Growth0, Controller) begin\n",
    "    α:          decary_rate                 => 0.03        ~ preserve(parameter, u\"d^-1\")\n",
    "\n",
    "    Amax:       maximum_assimilation_rate   => 0.4         ~ preserve(parameter, u\"g/g/d\")\n",
    "    Rmax:       maximum_respiration_rate    => 0.015       ~ preserve(parameter, u\"g/g/d\")\n",
    "\n",
    "    A(α, A):    assimilation_rate           => -α * A      ~ accumulate(init = Amax, u\"g/g/d\")\n",
    "    R(α, R):    respiration_rate            => -α * R      ~ accumulate(init = Rmax, u\"g/g/d\")\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "\u001b[90m[\u001b[39m\u001b[94mconfig\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mα\u001b[39m\u001b[90m → \u001b[39m\u001b[94mAmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc0\u001b[39m\u001b[90m → \u001b[39m\u001b[94mY\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW0\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘context\u001b[39m\u001b[90m → \u001b[39m\u001b[94mcontext\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆R\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆A\u001b[39m\u001b[90m → \u001b[39m\u001b[94mr\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆W\u001b[39m\u001b[90m → \u001b[39m\u001b[94mt\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆context\u001b[39m\u001b[90m]\u001b[39m"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.dependency(Growth2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 생체량(`W`) 변화를 확인해보겠습니다. 내부적으로는 다른 가정으로 접근하였지만 전반적인 변화의 양상은 동일하게 나오고 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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     "execution_count": 19,
     "metadata": {},
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    "visualize(Growth2, :t, :W;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    ")"
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   "source": [
    "마찬가지로 성장률(`r`)의 감소 역시 확인해보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "visualize(Growth2, :t, :r;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.5),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이러한 성장률의 감소는 변환효율(`Y`)에 의한 것이 아닙니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "\"<Cropbox.Plot{Gadfly.Plot}>\""
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     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth2, :t, :Y;\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    ")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "단위 생체량 기준 광합성(`A`)과 호흡(`R`)량을 그려보면 이전과 달리 시간에 따라 감소하는 것을 확인할 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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       "        <text text-anchor=\"middle\" dy=\"0.35em\" transform=\"rotate(-90,0, 2)\"> (d⁻¹)</text>\n",
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      "text/plain": [
       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Growth2, :t, [:A, :R];\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.5),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "사실 위의 두가지 접근 방식은 수식에서 값을 어떤 위치에서 곱해주는지의 차이일뿐이며 그 결과 정리된 수식은 동일합니다. 하지만 각 변수가 어떤 의미를 가지고 어떤 기작에 의해 설명되는지 분명한 차이가 있을 수 있다는 점은 기억해주세요. 잘 정의된 모형은 이후 수정하거나 확장하기에도 수월합니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2.4. 분배 (partitioning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "위의 모형에서는 식물의 성장이 전체 생체량에 비례해서 이루어진다고 가정하였지만, 실제로는 잎에서 생성된 동화산물이 다른 부위에 얼마만큼씩 분배되어 사용되는지에 따라 실제 관측되는 성장의 형태는 크게 달라질 수 있습니다. 특히 동화산물은 잎의 광합성에 의해 생성되므로 잎이 전체 식물에서 차지하는 비중에 따라 그 생산량도 달라질 것입니다. 그리고 성장 단계에 따라 영양성장(vegetative growth) 시기에는 많은 부분이 잎으로 할당되다가 생식성장(reproductive growth) 단계에서는 그 비중이 열매 쪽으로 옮겨가는 등의 변화도 고려해볼 수 있습니다.\n",
    "\n",
    "여기에서는 [Monsi (1960)](https://www.cabdirect.org/cabdirect/abstract/19600600113)의 모형을 참고하여 식물의 전체 생체량을 광합성이 가능한 부위와 아닌 부위로 나누어 광합성과 호흡의 비중을 조정해보도록 하겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "r = c \\cdot (m A - n R)\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 &nbsp;&nbsp;&nbsp;&nbsp; | 값 | 단위 | 설명 |\n",
    "| :- | :- | :- | :- |\n",
    "| $m$ | 0.5 | - | 광합성을 하는 생체량의 비중 |\n",
    "| $n$ | $$1 - m$$ | - | 광합성을 하지 않는 생체량의 비중 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "전체 생체량에서 광합성이 가능한(photosynthetic) 부분의 비중(`m`)과 그렇지 않은(non-photosynthetic) 부분의 비중(`n`)을 모수로 추가하고 각각 광합성(`A`)과 호흡(`R`)에 적용합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Growth3"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Growth3(Growth2, Controller) begin\n",
    "    m:            leaf_fraction            => 0.5           ~ preserve(parameter)\n",
    "    n(m):         non_leaf_fraction        => 1 - m         ~ track\n",
    "\n",
    "    mA(m, A):     actual_assimilation_rate => m * A         ~ track(u\"g/g/d\")\n",
    "    nR(n, R):     actual_respiration_rate  => n * R         ~ track(u\"g/g/d\")\n",
    "\n",
    "    r(c, mA, nR): growth_rate              => c * (mA - nR) ~ track(u\"g/g/d\")\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
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       "\u001b[90m[\u001b[39m\u001b[94mconfig\u001b[39m\u001b[90m → \u001b[39m\u001b[94mm\u001b[39m\u001b[90m → \u001b[39m\u001b[94mn\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mα\u001b[39m\u001b[90m → \u001b[39m\u001b[94mAmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc0\u001b[39m\u001b[90m → \u001b[39m\u001b[94mY\u001b[39m\u001b[90m → \u001b[39m\u001b[94mc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW0\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘context\u001b[39m\u001b[90m → \u001b[39m\u001b[94mcontext\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR\u001b[39m\u001b[90m → \u001b[39m\u001b[94mnR\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆R\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA\u001b[39m\u001b[90m → \u001b[39m\u001b[94mmA\u001b[39m\u001b[90m → \u001b[39m\u001b[94mr\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆A\u001b[39m\u001b[90m → \u001b[39m\u001b[94mW\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆W\u001b[39m\u001b[90m → \u001b[39m\u001b[94mt\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆context\u001b[39m\u001b[90m]\u001b[39m"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.dependency(Growth3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 실제 광합성이 가능한 부분만을 통해 동화산물이 생성되기 때문에 전체 생체량(`W`)도 그에 맞춰 감소하였습니다. 소폭의 비중 변화에 따라 생체량이 크게 변화하는 것을 확인할 수 있습니다."
   ]
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  {
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       "    (function(){\n",
       "    // Some integrations (namely, IJulia/Jupyter) use an alternate render pathway than\n",
       "    // just putting the html on the page. If WebIO isn't defined, then it's pretty likely\n",
       "    // that we're in one of those situations and the integration just isn't installed\n",
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       "                '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
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(this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\"]},\"systemjs_options\":null,\"mount_callbacks\":[\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"0.0\\\",\\\"0.1\\\",\\\"0.2\\\",\\\"0.3\\\",\\\"0.4\\\",\\\"0.5\\\",\\\"0.6\\\",\\\"0.7\\\",\\\"0.8\\\",\\\"0.9\\\",\\\"1.0\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"6105433894164837517\\\",\\\"id\\\":\\\"2654887335334842865\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"6105433894164837517\\\",\\\"id\\\":\\\"15254325527100846758\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? 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       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0.0, 300.0, 0, 300, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"t (d)\", :auto), Gadfly.Guide.YLabel(\"W (g)\", :auto)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 25,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(Growth3, :t, :W;\n",
    "    parameters = :0 => (;\n",
    "        :m => 0:0.1:1,\n",
    "    ),\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 300),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이러한 분배 비율의 변화가 성장률(`r`)에는 어떠한 영향을 미치는지 보도록 하겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
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       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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nothing)), 0), Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [0.128349375, 0.12818893828125, 0.12802870210839842, 0.12786866623076293, 0.12770883039797448, 0.127549194359977, 0.12738975786702703, 0.12723052066969323, 0.12707148251885614, 0.12691264316570758  …  1.5928957225808716e-5, 1.5909046029276456e-5, 1.588915972173986e-5, 1.5869298272087683e-5, 1.5849461649247574e-5, 1.5829649822186014e-5, 1.5809862759908282e-5, 1.5790100431458397e-5, 1.5770362805919073e-5, 1.5750649852411673e-5], :x => [0.0, 0.041666666666666664, 0.08333333333333333, 0.125, 0.16666666666666666, 0.20833333333333331, 0.25, 0.29166666666666663, 0.3333333333333333, 0.375  …  299.625, 299.66666666666663, 299.7083333333333, 299.75, 299.79166666666663, 299.8333333333333, 299.875, 299.91666666666663, 299.9583333333333, 300.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0), 0.7mm, 0.45mm, 1.8mm, 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       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0.0, 300.0, 0.0, 0.4, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"t (d)\", :auto), Gadfly.Guide.YLabel(\" (d⁻¹)\", :auto), Gadfly.Guide.ManualDiscreteKey(\"\", [\"mA\", \"nR\", \"r\"], Any[], ColorTypes.Colorant[LCHab{Float32}(70.0f0,60.0f0,240.0f0), LCHab{Float32}(80.0f0,70.000015f0,100.43479f0), LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0)], Function[], Measures.Measure[], true)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 26,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(Growth3, :t, [:mA, :nR, :r];\n",
    "    parameters = :0 => (;\n",
    "        :m => 0:0.1:1,\n",
    "    ),\n",
    "    stop = 300u\"d\",\n",
    "    kind = :line,\n",
    "    ylim = (0, 0.4),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "단순해보이지만 실제 작물 모형에서는 좀 더 상세하게 구조를 나눈 다음, 각 구조별로 특화된 기작을 부여하여 서로 간의 상호작용을 만들어내는 등 다양하게 응용이 가능합니다. 예를 들어 잎은 광합성을, 줄기는 동화산물의 저장을, 뿌리는 토양수분 흡수를 담당하도록 되어 있으면 각 부위가 전체 식물에서 어떤 비중을 갖는지에 따라 전체적인 성장의 형태가 달라질 수 있는 것입니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3. 광합성 (`A`) 분해"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "여기서는 성장률(`r`)을 분해해내가는 과정을 좀 더 진행해보겠습니다. 지금까지 만든 모형에서 광합성(`A`)은 효율 저하가 반영되기는 하였지만 그 외에는 항상 같은 값을 가지는 고정된 모수로 표현되어 있었습니다. 하지만 실제 광합성은 말그대로 빛이 있어야만 일어날 수 있는 생화학 반응이며, 이외에도 대기중 이산화탄소($\\mathrm{CO_2}$) 농도, 온도, 습도 등 환경 요인에 큰 영향을 받는 기작입니다. 내부적으로는 잎의 영양상태나 수분함량 등에 따라 그 효율이 변화하기도 합니다. 여기서는 우선 광량(irradiance)에 따라 변화하는 광합성율을 표현해보겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "\\begin{align}\n",
    "A_g &= \\frac{\\alpha I A_{\\mathrm{max}}}{\\alpha I + A_{\\mathrm{max}}} \\\\\n",
    "A_n &= A_g - R_d\n",
    "\\end{align}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| 이름 | 값 | 단위 | 설명 |\n",
    "|:-------|:------|:------|:------------|\n",
    "| $\\alpha$ | 0.05 | $$\\mathrm{\\mu mol_{CO_2}}\\ \\mathrm{\\mu mol_{photon}^{-1}}$$ | 광화학적 효율 (양자 수율; quantum yield) |\n",
    "| $$A_{\\mathrm{max}}$$ | 25.0 | $\\mathrm{\\mu mol}\\ \\mathrm{m^{-2}}\\ \\mathrm{s^{-1}}$ | 현재 대기 $\\mathrm{[CO_2]}$와 표준 기온(25 $\\mathrm{^{\\circ}C}$) 기준 광포화 총광합성율 ($A_g$) |\n",
    "| $R_d$ | 1.0 | $\\mathrm{\\mu mol_{CO_2}}\\ \\mathrm{m^{-2}}\\ \\mathrm{s^{-1}}$ | 표준 온도(25 $\\mathrm{^{\\circ}C}$) 기준 엽 세포호흡율 (dark respiration) |\n",
    "| $I$ | - | $\\mathrm{\\mu mol_{photon}}\\ \\mathrm{m^{-2}}$ | 엽 표면에 도달하는 PAR (photosynthetically active radiation) |\n",
    "| $A_g$ | - | $\\mathrm{\\mu mol_{CO_2}}\\ \\mathrm{m^{-2}}\\ \\mathrm{s^{-1}}$ | 엽 $\\mathrm{CO_2}$ 총동화율 (총광합성율; gross photosynthesis rate) |\n",
    "| $A_n$ | - | $\\mathrm{\\mu mol_{CO_2}}\\ \\mathrm{m^{-2}}\\ \\mathrm{s^{-1}}$ | 엽 $\\mathrm{CO_2}$ 순동화율 (순광합성율; net photosynthesis rate) |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "총광합성율($A_g$)은 광량($I$)이 증가함에 따라 함께 증가하는 직각쌍곡선(rectangular hyperbola)의 형태로 정의합니다. 광량이 많아질수록 그 증가량은 줄어들고 광포화 상태가 되어 최대값($A_max$)에 근접하게 됩니다. 순광합성율($A_n$)은 총광합성율($A_g$)에서 세포호흡율($R_d$) 제외한 값입니다. 실제 광합성은 광량 외에도 다른 요인에 영향을 받고, 세포호흡 역시 엽온에 따라 변할 수 있지만 여기서는 편의상 다른 요인들은 고정되어 있다고 가정하겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Photosynthesis"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@system Photosynthesis(Controller) begin\n",
    "    α:    photochemical_efficiency       => 0.05                      ~ preserve(parameter)\n",
    "    Amax: maximum_photosynthetic_rate    => 25                        ~ preserve(parameter, u\"μmol/m^2/s\")\n",
    "    Rd:   dark_respiration               => 1.0                       ~ preserve(parameter, u\"μmol/m^2/s\")\n",
    "\n",
    "    I:    irradiance                     => 0                         ~ preserve(parameter, u\"μmol/m^2/s\")\n",
    "\n",
    "    Ag(α, I, Amax): gross_photosynthesis => α*I * Amax / (α*I + Amax) ~ track(u\"μmol/m^2/s\")\n",
    "    An(Ag, Rd):     net_photosynthesis   => Ag - Rd                   ~ track(u\"μmol/m^2/s\")\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "일단 특정 광량(`I`)에 대한 순광합성율(`An`)이 제대로 계산되는지 확인해보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
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    "visualize(Photosynthesis, :I, :An;\n",
    "    config = :0 => :I => 1000,\n",
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    "그럼 이제는 한 점이 아니라 일정 범위 내의 광량(`I`)에 대해 다수의 모의를 진행하여 그 결과를 한꺼번에 표출해보도록 하겠습니다. `visualize()` 함수의 `xstep` 옵션을 사용하면 내부적으로 여러 개의 설정(configuration)을 만들어 모의를 진행한 후 결과를 합쳐서 볼 수 있습니다."
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       "</g>\n",
       "<defs>\n",
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       "</defs>\n",
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      ],
      "text/plain": [
       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(Photosynthesis, :I, :An;\n",
    "    xstep = :0 => :I => 0:1000,\n",
    "    kind = :line,\n",
    "    ylim = (0, 20),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "일단 결과적으로는 실제 광합성 측정 기기로 얻을 수 있는 광반응 곡선과 유사한 형태를 보여주고 있습니다. 하지만 앞에서 언급되었던 것처럼 다른 환경 요인에 대한 고려 없이 대략적인 곡선의 형태를 맞추어 본 것에 그치고 있다는 한계가 있습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.4. 기체교환 모형 (coupled gas-exchange model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "목적에 따라 다르겠지만, 기후 변화와 같이 기존에 알려지지 않은 환경에 대한 실험을 진행해야 한다면 다양한 요인의 상호작용에 대한 응답을 줄 수 있는 모형을 선택하는 것이 타당할 것입니다. 이런 측면에서 광합성의 주요 기작들을 생화학적으로 설명하고, 기공전도도(stomatal conductance)와의 연계를 통한 증산(transpiration), 이러한 과정에서 이루어지는 엽온(leaf temperature)의 에너지 균형(energy balance)까지 표현하는 기체교환 모형(gas-exchange model)은 작물모형을 비롯한 여러 분야에서 응용이 가능합니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cropbox로 구현한 기체교환 모형은 지난 시간에 보았던 [마늘 모형](https://github.com/cropbox/Garlic.jl)에서 내부적으로 활용중이며, [LeafGasExchange.jl](https://github.com/cropbox/LeafGasExchange.jl)이라는 이름의 별도 Julia 패키지로 배포되고 있기도 합니다. 여기서는 후자의 패키지를 통해 모형을 사용해보는 실습을 진행하도록 하겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "using LeafGasExchange"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LeafGasExchange 모듈은 광합성의 종류에 따라 C3, C4, 그리고 기공전도도 모형의 종류에 따라 Ball-Berry, Medlyn, 각 두가지씩 구현이 되어 있으며 이를 합쳐서 `ModelC3BB`, `ModelC3MD`, `ModelC4BB`, `ModelC4MD`와 같이 바로 사용할 수 있는 4개의 시스템을 제공하고 있습니다. 실습에서는 C3 광합성에 Ball-Berry 모형이 결합된 `ModelC3BB`를 사용하겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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      "text/plain": [
       "\u001b[90m[\u001b[39m\u001b[94mk\u001b[39m\u001b[90m → \u001b[39m\u001b[94mσ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCimin\u001b[39m\u001b[90m → \u001b[39m\u001b[94mocr\u001b[39m\u001b[90m → \u001b[39m\u001b[94mSLA\u001b[39m\u001b[90m → \u001b[39m\u001b[94mconfig\u001b[39m\u001b[90m → \u001b[39m\u001b[94mEag\u001b[39m\u001b[90m → \u001b[39m\u001b[94mΓ25\u001b[39m\u001b[90m → \u001b[39m\u001b[94mEar\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRd25\u001b[39m\u001b[90m → \u001b[39m\u001b[94mEaTp\u001b[39m\u001b[90m → \u001b[39m\u001b[94mTp25\u001b[39m\u001b[90m → \u001b[39m\u001b[94mθ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mToj\u001b[39m\u001b[90m → \u001b[39m\u001b[94mHdj\u001b[39m\u001b[90m → \u001b[39m\u001b[94mHaj\u001b[39m\u001b[90m → \u001b[39m\u001b[94mJm25\u001b[39m\u001b[90m → \u001b[39m\u001b[94mEaVc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mVcm25\u001b[39m\u001b[90m → \u001b[39m\u001b[94mOm\u001b[39m\u001b[90m → \u001b[39m\u001b[94mEao\u001b[39m\u001b[90m → 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\u001b[39m\u001b[94mscr\u001b[39m\u001b[90m → \u001b[39m\u001b[94mw\u001b[39m\u001b[90m → \u001b[39m\u001b[94md\u001b[39m\u001b[90m → \u001b[39m\u001b[94mDm\u001b[39m\u001b[90m → \u001b[39m\u001b[94mv\u001b[39m\u001b[90m → \u001b[39m\u001b[94mDh\u001b[39m\u001b[90m → \u001b[39m\u001b[94mκ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mDc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mDw\u001b[39m\u001b[90m → \u001b[39m\u001b[94mdra\u001b[39m\u001b[90m → \u001b[39m\u001b[94mdrb\u001b[39m\u001b[90m → \u001b[39m\u001b[94mrhw\u001b[39m\u001b[90m → \u001b[39m\u001b[94m__Nitrogen__c\u001b[39m\u001b[90m → \u001b[39m\u001b[94m__Nitrogen__b\u001b[39m\u001b[90m → \u001b[39m\u001b[94m__Nitrogen__a\u001b[39m\u001b[90m → \u001b[39m\u001b[94mSPAD\u001b[39m\u001b[90m → \u001b[39m\u001b[94mN\u001b[39m\u001b[90m → \u001b[39m\u001b[94mkN\u001b[39m\u001b[90m → \u001b[39m\u001b[94mNp\u001b[39m\u001b[90m → \u001b[39m\u001b[94mP_air\u001b[39m\u001b[90m → \u001b[39m\u001b[94mwind\u001b[39m\u001b[90m → \u001b[39m\u001b[94mu\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRe\u001b[39m\u001b[90m → \u001b[39m\u001b[94mNu\u001b[39m\u001b[90m → \u001b[39m\u001b[94mT_air\u001b[39m\u001b[90m → \u001b[39m\u001b[94mTk_air\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR_wall\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgh\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgb\u001b[39m\u001b[90m → \u001b[39m\u001b[94mrbc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgbc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRH\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCO2\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCa\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCimax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mPFD\u001b[39m\u001b[90m → \u001b[39m\u001b[94mPPFD\u001b[39m\u001b[90m → \u001b[39m\u001b[94mPAR\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR_sw\u001b[39m\u001b[90m → \u001b[39m\u001b[94mIa\u001b[39m\u001b[90m → \u001b[39m\u001b[94mI2\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘context\u001b[39m\u001b[90m → \u001b[39m\u001b[94mcontext\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘Ci\u001b[39m\u001b[90m → \u001b[39m\u001b[94m∘ΔT\u001b[39m\u001b[90m → \u001b[39m\u001b[94mH\u001b[39m\u001b[90m → \u001b[39m\u001b[94mT\u001b[39m\u001b[90m → \u001b[39m\u001b[94mkTQ10\u001b[39m\u001b[90m → \u001b[39m\u001b[94mTk\u001b[39m\u001b[90m → \u001b[39m\u001b[94mkT\u001b[39m\u001b[90m → \u001b[39m\u001b[94mΓ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mRd\u001b[39m\u001b[90m → \u001b[39m\u001b[94mTp\u001b[39m\u001b[90m → \u001b[39m\u001b[94mAp\u001b[39m\u001b[90m → \u001b[39m\u001b[94mVcmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mKo\u001b[39m\u001b[90m → \u001b[39m\u001b[94mKc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mKm\u001b[39m\u001b[90m → \u001b[39m\u001b[94mAc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mkTpeak\u001b[39m\u001b[90m → \u001b[39m\u001b[94mJmax\u001b[39m\u001b[90m → \u001b[39m\u001b[94mJ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mAj\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA_net\u001b[39m\u001b[90m → \u001b[39m\u001b[94mA_gross\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCs\u001b[39m\u001b[90m → \u001b[39m\u001b[94mhs\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgs\u001b[39m\u001b[90m → \u001b[39m\u001b[94mrsc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgsc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mrvc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgvc\u001b[39m\u001b[90m → \u001b[39m\u001b[94mCi\u001b[39m\u001b[90m → \u001b[39m\u001b[94mgv\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR_leaf\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR_thermal\u001b[39m\u001b[90m → \u001b[39m\u001b[94mR_net\u001b[39m\u001b[90m → \u001b[39m\u001b[94mvp\u001b[39m\u001b[90m → \u001b[39m\u001b[94mDs\u001b[39m\u001b[90m → \u001b[39m\u001b[94mΔw\u001b[39m\u001b[90m → \u001b[39m\u001b[94mE\u001b[39m\u001b[90m → \u001b[39m\u001b[94mλE\u001b[39m\u001b[90m → \u001b[39m\u001b[94mΔT\u001b[39m\u001b[90m → \u001b[39m\u001b[94mVPD_s\u001b[39m\u001b[90m → \u001b[39m\u001b[94mVPD_Δ\u001b[39m\u001b[90m → \u001b[39m\u001b[94mVPD\u001b[39m\u001b[90m → \u001b[39m\u001b[94m⋆context\u001b[39m\u001b[90m]\u001b[39m"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.dependency(LeafGasExchange.ModelC3BB)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "의존관계도(dependency graph)를 살펴보면 지금까지 다루었던 모형과는 달리 굉장히 많은 변수들이 포함되어 있는 것을 알 수 있습니다. 하지만 결국 확인하고 싶은 것은 앞의 간단한 광합성 모형과 마찬가지로 총광합성율($A_g$) 혹은 순광합성율($A_n$)과 같은 값일 것입니다. 여기서 순광합성율(`A_n`)은 아래와 같이 구현되어 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[90m[doc]\u001b[39m\n",
      "\n",
      "\u001b[90m[code]\u001b[39m\n",
      "\u001b[22;23;24m  \u001b[38;2;66;102;213;22;23;24mA_net\u001b[39m\u001b[22;23;24m(\u001b[22;23;24mAc\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mAj\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mAp\u001b[22;23;24m)\u001b[38;2;102;102;102;1;23;24m:\u001b[39;22m\u001b[22;23;24mnet_photosynthesis\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m=>\u001b[39;22m\u001b[22;23;24m \u001b[38;2;148;91;176;1;23;24mbegin\u001b[39;22m\u001b[22;23;24m\n",
      "            \u001b[38;2;153;153;119;22;3;24m#= /Users/tomyun/.julia/packages/LeafGasExchange/I1nMc/src/c3.jl:92 =#\u001b[39;23m\u001b[22;23;24m\n",
      "            \u001b[38;2;66;102;213;22;23;24mmin\u001b[39m\u001b[22;23;24m(\u001b[22;23;24mAc\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mAj\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mAp\u001b[22;23;24m)\u001b[22;23;24m\n",
      "        \u001b[38;2;148;91;176;1;23;24mend\u001b[39;22m\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m~\u001b[39;22m\u001b[22;23;24m \u001b[38;2;66;102;213;22;23;24mtrack\u001b[39m\u001b[22;23;24m(\u001b[38;2;201;61;57;22;23;24mu\"μmol/m^2/s\"\u001b[39m\u001b[22;23;24m)"
     ]
    }
   ],
   "source": [
    "@look LeafGasExchange.ModelC3BB.A_net"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "C3 광합성의 주요한 제한 요인들, 즉 이산화탄소($\\mathrm{CO_2}$ 혹은 RuBisCo 효소와 같은 기질의 부족(carboxylation-limited)인지, 아니면 전자전달계의 부하로 인한 제한(RuBP-renegeration limited)인지, 혹은 최종 산물의 수송이 저하되어 발생하는 제한(triose phosphate utilization-limited)인지에 따라 각각의 잠재 광합성율(`Ac`, `Aj`, `Ap`)이 계산되고 그중에서 가장 제한이 많이 걸리는 쪽, 다시 말해 최소값이 최종 광합성율로 채택됩니다.\n",
    "\n",
    "기질 부족으로 인한 광합성율(`Ac`)은 대개 이산화탄소 분압이 낮은 단계에서 발생하는데, 이러한 생화학적 기작은 앞서 보았던 광량에 따른 광합성율 수식과 유사한 쌍곡선의 형태로 구현되고 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[90m[doc]\u001b[39m\n",
      "\n",
      "\u001b[90m[code]\u001b[39m\n",
      "\u001b[22;23;24m  \u001b[38;2;66;102;213;22;23;24mAc\u001b[39m\u001b[22;23;24m(\u001b[22;23;24mVcmax\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mCi\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mΓ\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mKm\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mRd\u001b[22;23;24m)\u001b[38;2;102;102;102;1;23;24m:\u001b[39;22m\u001b[22;23;24menzyme_limited_photosynthesis_rate\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m=>\u001b[39;22m\u001b[22;23;24m \u001b[38;2;148;91;176;1;23;24mbegin\u001b[39;22m\u001b[22;23;24m\n",
      "            \u001b[38;2;153;153;119;22;3;24m#= /Users/tomyun/.julia/packages/LeafGasExchange/I1nMc/src/c3.jl:79 =#\u001b[39;23m\u001b[22;23;24m\n",
      "            \u001b[22;23;24m(\u001b[22;23;24mVcmax\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m*\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24m(\u001b[22;23;24mCi\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m-\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24mΓ\u001b[22;23;24m))\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m/\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24m(\u001b[22;23;24mCi\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m+\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24mKm\u001b[22;23;24m)\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m-\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24mRd\u001b[22;23;24m\n",
      "        \u001b[38;2;148;91;176;1;23;24mend\u001b[39;22m\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m~\u001b[39;22m\u001b[22;23;24m \u001b[38;2;66;102;213;22;23;24mtrack\u001b[39m\u001b[22;23;24m(\u001b[38;2;201;61;57;22;23;24mu\"μmol/m^2/s\"\u001b[39m\u001b[22;23;24m)"
     ]
    }
   ],
   "source": [
    "@look LeafGasExchange.ModelC3BB.Ac"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "단, 각각의 모수 혹은 모수처럼 보이지만 사실은 또 다른 수식으로 표현되는 변수들이 워낙 많기 때문에 한눈에 모든 것을 파악하기는 쉽지 않습니다. 예를 들어 위에서 쓰인 `Vcmax`는 이산화탄소를 기질로 하는 RuBisCo 효소의 최대 반응속도이며, 앞의 `Amax`처럼 고정된 상수를 도입할 수도 있는 부분입니다. 하지만 온도에 따른 생화학 반응의 차이를 반영하기 위해 내부적으로는 [아레니우스 방정식(Arrhenius equation)](https://en.wikipedia.org/wiki/Arrhenius_equation)에 대입하여 계산하도록 되어 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[90m[doc]\u001b[39m\n",
      "\n",
      "\u001b[90m[code]\u001b[39m\n",
      "\u001b[22;23;24m  \u001b[38;2;66;102;213;22;23;24mVcmax\u001b[39m\u001b[22;23;24m(\u001b[22;23;24mVcm25\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mkT\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mEaVc\u001b[22;23;24m,\u001b[22;23;24m \u001b[22;23;24mkN\u001b[22;23;24m)\u001b[38;2;102;102;102;1;23;24m:\u001b[39;22m\u001b[22;23;24mmaximum_carboxylation_rate\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m=>\u001b[39;22m\u001b[22;23;24m \u001b[38;2;148;91;176;1;23;24mbegin\u001b[39;22m\u001b[22;23;24m\n",
      "            \u001b[38;2;153;153;119;22;3;24m#= /Users/tomyun/.julia/packages/LeafGasExchange/I1nMc/src/c3.jl:30 =#\u001b[39;23m\u001b[22;23;24m\n",
      "            \u001b[22;23;24mVcm25\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m*\u001b[39;22m\u001b[22;23;24m \u001b[38;2;66;102;213;22;23;24mkT\u001b[39m\u001b[22;23;24m(\u001b[22;23;24mEaVc\u001b[22;23;24m)\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m*\u001b[39;22m\u001b[22;23;24m \u001b[22;23;24mkN\u001b[22;23;24m\n",
      "        \u001b[38;2;148;91;176;1;23;24mend\u001b[39;22m\u001b[22;23;24m \u001b[38;2;102;102;102;1;23;24m~\u001b[39;22m\u001b[22;23;24m \u001b[38;2;66;102;213;22;23;24mtrack\u001b[39m\u001b[22;23;24m(\u001b[38;2;201;61;57;22;23;24mu\"μmol/m^2/s\"\u001b[39m\u001b[22;23;24m)"
     ]
    }
   ],
   "source": [
    "@look LeafGasExchange.ModelC3BB.Vcmax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이처럼 많은 변수들을 한곳에서 모두 정리하기에는 너무 복잡하기 때문에 실제 모형 명세는 관련된 변수들끼리 묶인 시스템 단위로 잘개 쪼개져 있습니다. 이러한 시스템간의 구조도는 `Cropbox.hierarchy()` 함수를 이용해 확인할 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "\u001b[90m{\u001b[39m\u001b[95mModelC3BB\u001b[39m\u001b[90m, \u001b[39m\u001b[95mModelBase\u001b[39m\u001b[90m, \u001b[39m\u001b[95mWeather\u001b[39m\u001b[90m, \u001b[39m\u001b[95mContext\u001b[39m\u001b[90m, \u001b[39m\u001b[95mClock\u001b[39m\u001b[90m, \u001b[39m\u001b[95mVaporPressure\u001b[39m\u001b[90m, \u001b[39m\u001b[95mNitrogen\u001b[39m\u001b[90m, \u001b[39m\u001b[95mBoundaryLayer\u001b[39m\u001b[90m, \u001b[39m\u001b[95mDiffusion\u001b[39m\u001b[90m, \u001b[39m\u001b[95mStomataBase\u001b[39m\u001b[90m, \u001b[39m\u001b[95mIntercellularSpace\u001b[39m\u001b[90m, \u001b[39m\u001b[95mIrradiance\u001b[39m\u001b[90m, \u001b[39m\u001b[95mEnergyBalance\u001b[39m\u001b[90m, \u001b[39m\u001b[95mStomataBallBerry\u001b[39m\u001b[90m, \u001b[39m\u001b[95mStomataTuzet\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3Rate\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3c\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3Base\u001b[39m\u001b[90m, \u001b[39m\u001b[95mCBase\u001b[39m\u001b[90m, \u001b[39m\u001b[95mTemperatureDependence\u001b[39m\u001b[90m, \u001b[39m\u001b[95mNitrogenDependence\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3j\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3p\u001b[39m\u001b[90m, \u001b[39m\u001b[95mC3r\u001b[39m\u001b[90m, \u001b[39m\u001b[95mController\u001b[39m\u001b[90m}\u001b[39m"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Cropbox.hierarchy(LeafGasExchange.ModelC3BB)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "우측에는 방금 살펴보았던 C3 광합성 관련 시스템들이 보입니다. 제한 요인의 종류에 따라 `C3c`, `C3j`, `C3p`와 같이 서로 다른 시스템이 정의되어 있는 것을 알 수 있습니다. 좌측에는 기공전도도(`StomataBallBerry`) 및 에너지 균형(`EnergyBalance`) 관련 시스템들이 보입니다. 이러한 시스템들은 몇몇 공통되는 변수들을 이용해 정의되어 있으며, 최종적으로는 이러한 시스템들이 모두 묶여 해당 변수들이 서로 공유되는 형태로 통합(coupling)이 이루어지게 됩니다. 참고로, 지난 시간 강의자료의 마지막에 나오는 내부구조 안내에서 설명하는 믹스인(mix-in)을 통한 확장의 예라고 보시면 되겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "하지만 이렇게 모형이 어떻게 만들어져 있는지에 대한 기술적인 부분은 모형을 불러서 사용하는 입장에서는 크게 중요하지 않은 부분일 수도 있습니다. 위에서 굉장히 복잡한 모형의 일면을 보여드렸지만, 실제 사용하는 방법은 앞서 다루었던 간단한 모형들과 크게 다를 바 없기 때문입니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "먼저 필요한 모수들을 살펴보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Config for 1 system:\n",
       "  \u001b[95mModelC3BB\u001b[39m\n",
       "    \u001b[94mPFD          \u001b[39m\u001b[90m = \u001b[39mnothing\n",
       "    \u001b[94mCO2          \u001b[39m\u001b[90m = \u001b[39mnothing\n",
       "    \u001b[94mRH           \u001b[39m\u001b[90m = \u001b[39mnothing\n",
       "    \u001b[94mT_air        \u001b[39m\u001b[90m = \u001b[39mnothing\n",
       "    \u001b[94mwind         \u001b[39m\u001b[90m = \u001b[39mnothing\n",
       "    \u001b[94mP_air        \u001b[39m\u001b[90m = \u001b[39m100 kPa\n",
       "    \u001b[94mSPAD         \u001b[39m\u001b[90m = \u001b[39m60\n",
       "    \u001b[94m(Nitrogen) _a\u001b[39m\u001b[90m = \u001b[39m0.0004 g m⁻²\n",
       "    \u001b[94m(Nitrogen) _b\u001b[39m\u001b[90m = \u001b[39m0.012 g m⁻²\n",
       "    \u001b[94m(Nitrogen) _c\u001b[39m\u001b[90m = \u001b[39m0 g m⁻²\n",
       "    \u001b[94mN            \u001b[39m\u001b[90m = \u001b[39mmissing\n",
       "    \u001b[94mDw           \u001b[39m\u001b[90m = \u001b[39m24.2 mm² s⁻¹\n",
       "    \u001b[94mDc           \u001b[39m\u001b[90m = \u001b[39m14.7 mm² s⁻¹\n",
       "    \u001b[94mDh           \u001b[39m\u001b[90m = \u001b[39m21.5 mm² s⁻¹\n",
       "    \u001b[94mDm           \u001b[39m\u001b[90m = \u001b[39m15.1 mm² s⁻¹\n",
       "    \u001b[94mw            \u001b[39m\u001b[90m = \u001b[39m10 cm\n",
       "    \u001b[94msr           \u001b[39m\u001b[90m = \u001b[39m1.0\n",
       "    \u001b[94mv            \u001b[39m\u001b[90m = \u001b[39mmissing\n",
       "    \u001b[94mκ            \u001b[39m\u001b[90m = \u001b[39mmissing\n",
       "    \u001b[94mg0           \u001b[39m\u001b[90m = \u001b[39m0.017 mol bar⁻¹ m⁻² s⁻¹\n",
       "    \u001b[94mg1           \u001b[39m\u001b[90m = \u001b[39m4.53\n",
       "    \u001b[94mdrb          \u001b[39m\u001b[90m = \u001b[39mmissing\n",
       "    \u001b[94mdra          \u001b[39m\u001b[90m = \u001b[39mmissing\n",
       "    \u001b[94mδ            \u001b[39m\u001b[90m = \u001b[39m0.15\n",
       "    \u001b[94mf            \u001b[39m\u001b[90m = \u001b[39m0.15\n",
       "    \u001b[94mϵ            \u001b[39m\u001b[90m = \u001b[39m0.97\n",
       "    \u001b[94mλ            \u001b[39m\u001b[90m = \u001b[39m44 kJ mol⁻¹\n",
       "    \u001b[94mCp           \u001b[39m\u001b[90m = \u001b[39m29.3 J K⁻¹ mol⁻¹\n",
       "    \u001b[94mα_s          \u001b[39m\u001b[90m = \u001b[39m0.5\n",
       "    \u001b[94mWP_leaf      \u001b[39m\u001b[90m = \u001b[39m0 MPa\n",
       "    \u001b[94mΨf           \u001b[39m\u001b[90m = \u001b[39m-2.0 MPa\n",
       "    \u001b[94msf           \u001b[39m\u001b[90m = \u001b[39m2.3 MPa⁻¹\n",
       "    \u001b[94mTb           \u001b[39m\u001b[90m = \u001b[39m25 °C\n",
       "    \u001b[94mQ10          \u001b[39m\u001b[90m = \u001b[39m2\n",
       "    \u001b[94ms            \u001b[39m\u001b[90m = \u001b[39m2.9 m² g⁻¹\n",
       "    \u001b[94mN0           \u001b[39m\u001b[90m = \u001b[39m0.25 g m⁻²\n",
       "    \u001b[94mKc25         \u001b[39m\u001b[90m = \u001b[39m404.9 μbar\n",
       "    \u001b[94mEac          \u001b[39m\u001b[90m = \u001b[39m79.43 kJ mol⁻¹\n",
       "    \u001b[94mKo25         \u001b[39m\u001b[90m = \u001b[39m278.4 mbar\n",
       "    \u001b[94mEao          \u001b[39m\u001b[90m = \u001b[39m36.38 kJ mol⁻¹\n",
       "    \u001b[94mOm           \u001b[39m\u001b[90m = \u001b[39m210 mbar\n",
       "    \u001b[94mVcm25        \u001b[39m\u001b[90m = \u001b[39m108.4 μmol m⁻² s⁻¹\n",
       "    \u001b[94mEaVc         \u001b[39m\u001b[90m = \u001b[39m52.1573 kJ mol⁻¹\n",
       "    \u001b[94mJm25         \u001b[39m\u001b[90m = \u001b[39m169.0 μmol m⁻² s⁻¹\n",
       "    \u001b[94mHaj          \u001b[39m\u001b[90m = \u001b[39m23.9976 kJ mol⁻¹\n",
       "    \u001b[94mHdj          \u001b[39m\u001b[90m = \u001b[39m200 kJ mol⁻¹\n",
       "    \u001b[94mToj          \u001b[39m\u001b[90m = \u001b[39m42.8 °C\n",
       "    \u001b[94mθ            \u001b[39m\u001b[90m = \u001b[39m0.7\n",
       "    \u001b[94mTp25         \u001b[39m\u001b[90m = \u001b[39m16.03 μmol m⁻² s⁻¹\n",
       "    \u001b[94mEaTp         \u001b[39m\u001b[90m = \u001b[39m47.1 kJ mol⁻¹\n",
       "    \u001b[94mRd25         \u001b[39m\u001b[90m = \u001b[39m1.08 μmol m⁻² s⁻¹\n",
       "    \u001b[94mEar          \u001b[39m\u001b[90m = \u001b[39m49.39 kJ mol⁻¹\n",
       "    \u001b[94mΓ25          \u001b[39m\u001b[90m = \u001b[39m42.75 μbar\n",
       "    \u001b[94mEag          \u001b[39m\u001b[90m = \u001b[39m37.83 kJ mol⁻¹"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters(LeafGasExchange.ModelC3BB)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "광량(`PFD`)이나 기온(`T_air`) 등 환경 조건에 대한 모수들은 기본값이 없으므로 별도의 설정을 만들어서 넣어주도록 하겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Config for 1 system:\n",
       "  \u001b[95mWeather\u001b[39m\n",
       "    \u001b[94mPFD  \u001b[39m\u001b[90m = \u001b[39m1500\n",
       "    \u001b[94mCO2  \u001b[39m\u001b[90m = \u001b[39m400\n",
       "    \u001b[94mRH   \u001b[39m\u001b[90m = \u001b[39m60\n",
       "    \u001b[94mT_air\u001b[39m\u001b[90m = \u001b[39m30\n",
       "    \u001b[94mwind \u001b[39m\u001b[90m = \u001b[39m2.0"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ge_config = @config :Weather => (\n",
    "    PFD = 1500,\n",
    "    CO2 = 400,\n",
    "    RH = 60,\n",
    "    T_air = 30,\n",
    "    wind = 2.0,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 다른 모형과 동일한 방식으로 `visualize()` 함수를 이용하여 그래프를 그릴 수 있습니다. 예를 들어 세포내 이산화탄소 분압(intercellular $[\\mathrm{CO_2}]$; $C_i$)에 따른 순광합성율(`A_net`)을 각 제한 요인에 따른 잠재 광합성율(`Ac`, `Aj`, `Ap`)과 함께 확인해보겠습니다. 보통 A-Ci 곡선이라고 부르기도 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
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       "\"<Cropbox.Plot{Gadfly.Plot}>\""
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualize(LeafGasExchange.ModelC3BB, :Ci, [:A_net, :Ac, :Aj, :Ap];\n",
    "    config = ge_config,\n",
    "    xstep = :Weather => :CO2 => 10:10:1500,\n",
    "    kind = :line,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "아래에는 다양한 환경 요인들을 직접 조정하여 광합성 곡선을 그려볼 수 있도록 준비해보았습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A-Ci"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "세포내 이산화탄소 분압(`Ci`)은 대기중 이산화탄소가 엽록체(chloroplast)가 있는 위치까지 확산(diffusion)되어 광합성이 이루어지며 정상상태(steady-state)에 이르렀을 때 결정되는 값입니다. 이에 따라 대기중 이산화탄소 농도(`CO2`)보다는 낮은 값을 갖는 것이 보통입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
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       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), 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       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0, 800, 0, 60, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"Ci (μbar)\", :auto), Gadfly.Guide.YLabel(\" (μmol m⁻² s⁻¹)\", :auto), Gadfly.Guide.ManualDiscreteKey(\"\", [\"A_net\", \"Ac\", \"Aj\", \"Ap\"], Any[], ColorTypes.Colorant[LCHab{Float32}(70.0f0,60.0f0,240.0f0), LCHab{Float32}(80.0f0,70.000015f0,100.43479f0), LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0), LCHab{Float32}(66.303474f0,50.090958f0,168.24765f0)], Function[], Measures.Measure[], true)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 39,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(LeafGasExchange.ModelC3BB, :Ci, [:A_net, :Ac, :Aj, :Ap],\n",
    "    config = ge_config,\n",
    "    parameters = :Weather => (;\n",
    "        PFD   = 0:20:2000,\n",
    "        T_air = -10:1:50,\n",
    "    ),\n",
    "    xstep = :Weather => :CO2 => 10:10:1500,\n",
    "    xlim = (0, 800),\n",
    "    ylim = (0, 60),\n",
    "    kind = :line,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A-Q"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "광량(`PFD`)은 전자전달계의 제한으로 인한 잠재 광합성율(`Aj`)과 직접적인 연관을 가집니다. 어떤 상황에서 이러한 제한이 두드러지게 되는지 다양한 조건들을 실험해보세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
       "children": [
        {
         "children": [
          "Weather"
         ],
         "instanceArgs": {
          "namespace": "html",
          "tag": "div"
         },
         "nodeType": "DOM",
         "props": {
          "style": {
           "color": "darkorchid",
           "font-family": "monospace"
          }
         },
         "type": "node"
        },
        {
         "children": [
          {
           "children": [
            {
             "children": [
              {
               "children": [
                {
                 "children": [
                  "CO2"
                 ],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "label"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "className": "interact ",
                  "style": {
                   "color": "royalblue",
                   "padding": "5px 10px 0px 10px"
                  }
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-left"
               },
               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "input"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}",
                   "orient": "horizontal",
                   "type": "range"
                  },
                  "className": "slider slider is-fullwidth",
                  "max": 150,
                  "min": 1,
                  "step": 1,
                  "style": {}
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-center"
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               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "p"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "text: formatted_val"
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                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-right"
               },
               "type": "node"
              }
             ],
             "instanceArgs": {
              "namespace": "html",
              "tag": "div"
             },
             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget",
              "style": {
               "font-family": "monospace",
               "width": "25%"
              }
             },
             "type": "node"
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       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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(WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"15774691736578578409\\\",\\\"id\\\":\\\"16589659139012014219\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c853cad7a3e123085fa7960dd53fd3d4c05dc309-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/fab584ebb4dc64eb3ddf5ca7c73b2e76fd533845-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol, Any}(:className => \"field interact-widget\")), Observable{Cropbox.Plot{Gadfly.Plot}} with 0 listeners. Value:\n",
       "Gadfly.Plot(Gadfly.Layer[Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [-1.4830522779943511, -0.24844861478112445, 0.7677474713328092, 1.6715547768910488, 2.5027902479371384, 3.2797548725249754, 4.012354945463268, 4.706687755026085, 5.3666839516904705, 5.994954849081265  …  14.251997598132641, 14.239321484302632, 14.226618882994671, 14.213889829816264, 14.201134360381907, 14.18835251031278, 14.176191659985466, 14.163357184975986, 14.150496435295725, 14.137609446589956], :x => [0.0, 20.0, 40.0, 60.0, 80.0, 100.0, 120.0, 140.0, 160.0, 180.0  …  1820.0, 1840.0, 1860.0, 1880.0, 1900.0, 1920.0, 1940.0, 1960.0, 1980.0, 2000.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0), Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [43.95410860495242, 35.5382889150681, 29.033753108965907, 25.534375855430007, 23.34007981141299, 21.821608412826322, 20.702735845760476, 19.84281197654981, 19.161136298872353, 18.607638283812317  …  14.251997598132641, 14.239321484302632, 14.226618882994671, 14.213889829816264, 14.201134360381907, 14.18835251031278, 14.176191659985466, 14.163357184975986, 14.150496435295725, 14.137609446589956], :x => [0.0, 20.0, 40.0, 60.0, 80.0, 100.0, 120.0, 140.0, 160.0, 180.0  …  1820.0, 1840.0, 1860.0, 1880.0, 1900.0, 1920.0, 1940.0, 1960.0, 1980.0, 2000.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(80.0f0,70.000015f0,100.43479f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0), Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [-1.4830522779943511, -0.24844861478112445, 0.7677474713328092, 1.6715547768910488, 2.5027902479371384, 3.2797548725249754, 4.012354945463268, 4.706687755026085, 5.3666839516904705, 5.994954849081265  …  18.227099094060065, 18.245454840289245, 18.263193511302305, 18.28033405361218, 18.29689460381299, 18.312892530286444, 18.328856843316064, 18.34377980983593, 18.35818801804044, 18.372096133449254], :x => [0.0, 20.0, 40.0, 60.0, 80.0, 100.0, 120.0, 140.0, 160.0, 180.0  …  1820.0, 1840.0, 1860.0, 1880.0, 1900.0, 1920.0, 1940.0, 1960.0, 1980.0, 2000.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0), Gadfly.Layer(nothing, Dict{Symbol, Any}(:y => [63.08050432267327, 63.20105360493773, 63.11522281985191, 62.99481973484926, 62.895330938423605, 62.81134864725966, 62.73986529811147, 62.6790730788219, 62.62747052803282, 62.58444828568328  …  69.52759927969338, 69.64482568030581, 69.76222840729329, 69.87980769187982, 69.99756376554434, 70.1154968600211, 70.23360720729967, 70.35189503962536, 70.47036058949934, 70.58900408967884], :x => [0.0, 20.0, 40.0, 60.0, 80.0, 100.0, 120.0, 140.0, 160.0, 180.0  …  1820.0, 1840.0, 1860.0, 1880.0, 1900.0, 1920.0, 1940.0, 1960.0, 1980.0, 2000.0]), Gadfly.StatisticElement[], Gadfly.Geom.LineGeometry(Gadfly.Stat.Identity(), false, 2, Symbol(\"\")), Gadfly.Theme(LCHab{Float32}(66.303474f0,50.090958f0,168.24765f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), 0)], nothing, Data(\n",
       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], 0.0, 2000.0, 0, 60, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"PFD (μmol m⁻² s⁻¹)\", :auto), Gadfly.Guide.YLabel(\" (μmol m⁻² s⁻¹)\", :auto), Gadfly.Guide.ManualDiscreteKey(\"\", [\"A_net\", \"Ac\", \"Aj\", \"Ap\"], Any[], ColorTypes.Colorant[LCHab{Float32}(70.0f0,60.0f0,240.0f0), LCHab{Float32}(80.0f0,70.000015f0,100.43479f0), LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0), LCHab{Float32}(66.303474f0,50.090958f0,168.24765f0)], Function[], Measures.Measure[], true)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 40,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(LeafGasExchange.ModelC3BB, :PFD, [:A_net, :Ac, :Aj, :Ap],\n",
    "    config = ge_config,\n",
    "    parameters = :Weather => (;\n",
    "        CO2   = 10:10:1500,\n",
    "        T_air = -10:1:50,\n",
    "    ),\n",
    "    xstep = :Weather => :PFD => 0:20:2000,\n",
    "    ylim = (0, 60),\n",
    "    kind = :line,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A-T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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       "                '<p><strong>WebIO not detected.</strong></p>' +\n",
       "                '<p>Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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       "  titles=Dict{Symbol, AbstractString}()\n",
       ")\n",
       ", Gadfly.ScaleElement[], Gadfly.StatisticElement[], Gadfly.Coord.Cartesian([:x, :xmin, :xmax, :xintercept], [:y, :ymin, :ymax, :yintercept, :middle, :lower_hinge, :upper_hinge, :lower_fence, :upper_fence, :outliers], -10, 50, 0, 60, false, false, false, nothing, false), Gadfly.GuideElement[Gadfly.Guide.Title(\"\"), Gadfly.Guide.XLabel(\"T (°C)\", :auto), Gadfly.Guide.YLabel(\" (μmol m⁻² s⁻¹)\", :auto), Gadfly.Guide.ManualDiscreteKey(\"\", [\"A_net\", \"Ac\", \"Aj\", \"Ap\"], Any[], ColorTypes.Colorant[LCHab{Float32}(70.0f0,60.0f0,240.0f0), LCHab{Float32}(80.0f0,70.000015f0,100.43479f0), LCHab{Float32}(65.89944f0,62.21457f0,353.99814f0), LCHab{Float32}(66.303474f0,50.090958f0,168.24765f0)], Function[], Measures.Measure[], true)], Gadfly.Theme(LCHab{Float32}(70.0f0,60.0f0,240.0f0), 0.7mm, 0.45mm, 1.8mm, Gadfly.Scale.default_discrete_sizes, Gadfly.Scale.default_continuous_sizes, Gadfly.Scale.default_discrete_colors, Function[Compose.circle, Gadfly.Shape.square, Gadfly.Shape.diamond, Gadfly.Shape.cross, Gadfly.Shape.xcross, Gadfly.Shape.utriangle, Gadfly.Shape.dtriangle, Gadfly.Shape.star1, Gadfly.Shape.star2, Gadfly.Shape.hexagon, Gadfly.Shape.octagon, Gadfly.Shape.hline, Gadfly.Shape.vline, Gadfly.Shape.ltriangle, Gadfly.Shape.rtriangle], 0.3mm, [:solid, :dash, :dot, :dashdot, :dashdotdot, :ldash, :ldashdash, :ldashdot, :ldashdashdot], [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.0], nothing, nothing, 0.3mm, 0.0, RGB{N0f8}(1.0,1.0,1.0), Measures.AbsoluteLength[5.0mm, 5.0mm, 5.0mm, 0.0mm], RGB{N0f8}(0.816,0.816,0.878), Measures.AbsoluteLength[0.5mm, 0.5mm], RGB{N0f8}(0.627,0.627,0.627), 0.2mm, 0, \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.424,0.376,0.42), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.5277777777777777mm, RGB{N0f8}(0.337,0.29,0.333), \"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 3.175mm, RGB{N0f8}(0.212,0.165,0.208), \"'PT Sans','Helvetica Neue','Helvetica',sans-serif\", 2.822222222222222mm, RGB{N0f8}(0.298,0.251,0.294), 40, -0.05mm, 1.0mm, 3.0mm, Gadfly.default_stroke_color, 0.3mm, Cropbox.var\"#504#513\"(), Gadfly.default_continuous_highlight_color, Gadfly.default_lowlight_color, Gadfly.default_middle_color, 0.6mm, :left, :square, nothing, nothing, nothing, :right, nothing, 2.0mm, 1000, 10.0, 0.5, 0.2, 1.0mm, 4, Gadfly.Scale.DiscreteColorScale(Gadfly.Scale.default_discrete_colors, nothing, nothing, true), Gadfly.Scale.ContinuousColorScale(Gadfly.Scale.var\"#69#73\"{Int64, Int64, Int64, Int64, Float64, Int64}(100, 40, 260, 10, 1.5, 70), Gadfly.Scale.ContinuousScaleTransform(identity, identity, Gadfly.Scale.identity_formatter), nothing, nothing)), Dict{Symbol, Any}())], Dict{Symbol, Any}(:style => Dict(\"display\" => \"flex\", \"flex-direction\" => \"column\")))"
      ]
     },
     "execution_count": 41,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "cf1f84de-2548-4892-ac97-3dc4528bd326"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manipulate(LeafGasExchange.ModelC3BB, :T, [:A_net, :Ac, :Aj, :Ap],\n",
    "    config = ge_config,\n",
    "    parameters = :Weather => (;\n",
    "        CO2   = 10:10:1500,\n",
    "        PFD   = 0:20:2000,\n",
    "    ),\n",
    "    xstep = :Weather => :T_air => -10:1:50,\n",
    "    xlim = (-10, 50),\n",
    "    ylim = (0, 60),\n",
    "    kind = :line,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### N vs. Ψv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "엽내 질소(`N`) 및 수분(`Ψv`) 함량 간의 상호작용을 고려하며 환경 요인의 변화에 따른 광합성을 살펴볼 수 있는 등고선(contour) 그래프입니다. 환경 조건에 따라 질소 및 수분 함량의 영향력이 상대적으로 바뀔 수 있다는 것을 확인할 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
       "children": [
        {
         "children": [
          "Weather"
         ],
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                  "namespace": "html",
                  "tag": "input"
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                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}",
                   "orient": "horizontal",
                   "type": "range"
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                  "className": "slider slider is-fullwidth",
                  "max": 150,
                  "min": 1,
                  "step": 1,
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               "instanceArgs": {
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               "nodeType": "DOM",
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               "children": [
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                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "p"
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                 "nodeType": "DOM",
                 "props": {
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               "instanceArgs": {
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             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget",
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               "width": "25%"
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            "id": "1215184465447660770",
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       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.</p>' +\n",
       "                '<p><a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\" target=\"_blank\">https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/</a></p>' +\n",
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   "source": [
    "manipulate(LeafGasExchange.ModelC3BB, :N, :Ψv, :A_net;\n",
    "    config = ge_config,\n",
    "    parameters = :Weather => (;\n",
    "        CO2   = 10:10:1500,\n",
    "        PFD   = 0:20:2000,\n",
    "        T_air = -10:1:50,\n",
    "    ),\n",
    "    xstep = :Nitrogen     => :N       => 0.4:0.2:2,\n",
    "    ystep = :StomataTuzet => :WP_leaf => -2:0.2:0,\n",
    "    xlim = (0.4, 2),\n",
    "    zlim = (0, 30),\n",
    "    zgap = 1,\n",
    "    kind = :contour,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.5. 차회예고"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "지난 주 첫시간부터 간단한 성장곡선에서 시작하여 모형을 조금씩 분해해가며 기작을 추가해본 끝에 기체교환 모형까지 살펴보았습니다. 상대적으로 훨씬 복잡한 모형이지만 결국은 성장률(`r`)을 결정하는 주요 요인인 광합성율(`A`)을 계산하는 여러가지 방법 중의 하나라는 관점에서 보면 모두 같은 선상에 놓여있다고 생각합니다. 모형을 만드는 목적에 따라 필요한 기작을 더 넣어보거나, 바꾸거나 혹은 없애는 과정을 점진적으로 반복하는 것, 그것이 모형개발(modeling)의 핵심이라고 볼 수 있겠습니다. 비록 지금까지 2회에 걸쳐 작물모형의 일부만을 다루었지만 전체적으로는 유사한 과정의 확장이라는 점 기억해주세요. 다음 시간에는 작물모형의 중추라고 볼 수 있는 생물계절(phenology)에 대해 살펴보겠습니다. GDD(growing degree days)와 같은 열시간(thermal time) 개념을 구현하면서 실제 자료를 적용해보는 실습을 진행할 예정입니다."
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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