--- name: agriculture-ecosystems-and-environment description: Use when targeting Agriculture, Ecosystems & Environment or deciding whether an agroecosystem-environment manuscript fits this venue. Encodes the journal's fit, the field-to-landscape environmental-outcome bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics. --- # Agriculture, Ecosystems & Environment (agriculture-ecosystems-and-environment) ## Journal positioning Agriculture, Ecosystems & Environment (AGEE), published by Elsevier, sits at the **interface of agriculture and the environment at field-to-landscape scale**: how agricultural systems affect — and are affected by — nutrient and greenhouse-gas fluxes, biodiversity, soil and water quality, and ecosystem services. Its defining expectation is a study whose central contribution is an **environmental outcome of agroecosystem management**, quantified with sound design and generalizable beyond one plot. A pure crop-yield/agronomy study with no environmental outcome, or a soil-process mechanism study with no agroecosystem/management framing, fits a sibling journal better. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current author guidelines. Before submitting, re-check the live AGEE author guidance. ## When to trigger - The author names AGEE and wants a fit/framing check for an agriculture–environment paper. - A management or land-use study must be framed around its environmental outcome (fluxes, biodiversity, water/soil quality) rather than around yield alone. - The author is choosing between AGEE, `field-crops-research` (crop/yield focus), and `soil-biology-and-biochemistry` (soil-process mechanism). - The author needs AGEE's desk-reject heuristics and a credible alternative route. ## Scope & topic fit - Greenhouse-gas and nutrient fluxes from agroecosystems (N2O, CH4, CO2; N and P losses) and their management drivers. - Biodiversity and ecosystem services in agricultural landscapes: pollinators, natural enemies, soil biota, and habitat effects. - Soil and water quality outcomes of agricultural management at field-to-catchment scale. - Land-use and management effects on agroecosystem function, including conservation agriculture, agroforestry, and grazing systems. - Trade-offs and synergies between production and environmental outcomes across landscapes. - Modeling and upscaling of agroecosystem environmental outcomes when validated against measurements. ## Method & evidence bar - The central claim must be an **environmental outcome at field-to-landscape scale**, quantified with defensible design and adequate replication across space and/or time. - Flux measurements need appropriate sampling frequency, chamber/eddy methodology, and error characterization; cumulative-flux estimates must state their uncertainty. - Biodiversity and ecosystem-service studies need sound sampling design, taxonomic/functional rigor, and statistics that handle landscape structure and pseudoreplication. - Management comparisons need realistic controls and full agronomic/environmental context so outcomes are attributable and transferable. - Models and upscaling must be validated against measured fluxes/outcomes with reported skill; data and code should be available per Elsevier policy. ## Structure & house style - Standard IMRaD; the introduction must frame the agriculture–environment problem and the outcome of interest, not just a production question. - Methods must document the agroecosystem (soil, climate, management) and the environmental measurement protocol in reproducible detail. - Figures/tables should make the environmental outcome and its management drivers visible (flux time series, landscape comparisons, trade-off plots) with variability shown. - A data-availability statement and complete site/management metadata are expected; supplementary material carries measurement detail. ## Official-submission checklist - Before giving submission-ready advice, read `../../resources/source-basis.md` and `../../resources/official-source-map.md`; start from the official source anchors, then cite the current Agriculture, Ecosystems & Environment page you checked. - Search the live site for "Agriculture, Ecosystems & Environment guide for authors" and follow the current Elsevier version. - Re-check article types, structure, word/figure expectations, and abstract format. - Confirm the data-availability/repository policy and reporting of environmental measurement and management metadata. - Re-check competing-interests, funding, author-contribution, and AI-use disclosure, and open-access terms. - If the live official instructions conflict with this skill, the official instructions win. ## Pre-submission self-check - [ ] The central contribution is an environmental outcome of agroecosystem management, not yield alone. - [ ] Design has adequate spatial/temporal replication and handles landscape structure. - [ ] Flux/biodiversity measurements have appropriate methods and reported uncertainty. - [ ] Management comparisons have realistic controls and full environmental/agronomic context. - [ ] Models/upscaling are validated against measured outcomes with reported skill. - [ ] Data-availability statement and site/management metadata are prepared. ## Common desk-reject triggers - A pure crop-yield/agronomy study with no quantified environmental outcome. - A soil-process mechanism study with no agroecosystem or management framing. - Flux estimates without uncertainty, or sampling too sparse to support cumulative claims. - Biodiversity/ecosystem-service claims with weak sampling design or pseudoreplication. - A single-plot result generalized to landscape scale without justification. ## Re-routing decision - Crop yield/agronomy and resource-use efficiency is the core → `field-crops-research`. - Soil-process mechanism (SOM, microbial function, nutrient cycling) is the core → `soil-biology-and-biochemistry`. - Explicit sustainability framing, review, or meta-analysis → `agronomy-for-sustainable-development`. - Large-scale climate/global-change ecosystem process dominant → `global-change-biology`. - Broad food-systems significance → `nature-food`. ## Output format ```text [Fit] High / Medium / Low (one-line reason) [Target] Agriculture, Ecosystems & Environment [Topic tags] <2–3 closest agriculture–environment topics> [Environmental outcome] [Method/evidence] [Top risk] [Official items to re-check]
[Re-route suggestion] ```