Forest Ecology And Management

Forest Ecology and Management (forest-ecology-and-management)

Journal positioning

Forest Ecology and Management is Elsevier's outlet for the science of forest ecosystems and how that science informs their management: forest ecology and stand dynamics, silviculture and regeneration, disturbance (fire, wind, insects, pathogens) and restoration, biodiversity and habitat, and carbon, growth, and productivity. Its defining expectation is sound ecological evidence paired with explicit management relevance — a study must both advance understanding of how forests function and make clear what its findings mean for managing, restoring, or conserving forested land. A competent forest-ecology paper with no applied or management implication, or a non-forest ecological study, is a poor fit however rigorous. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before submitting, re-check the live Forest Ecology and Management author instructions and data policy.

When to trigger

• The author names Forest Ecology and Management and wants a fit/framing check for a forest-science paper.
• A forest-ecology, silviculture, or disturbance study must be re-framed around its management or restoration implications to fit, or recognized as out of scope.
• The author is choosing between this journal, global-change-biology, agriculture-ecosystems-and-environment, and a general-ecology venue.
• The author needs the journal's expectations for ecological rigor coupled to management relevance.

Scope & topic fit

• Forest stand dynamics, regeneration, growth, and productivity across managed and natural forests, including long-term and chronosequence studies.
• Silviculture and management interventions: thinning, harvesting systems, planting, species/provenance choice, and their ecological and stand-level consequences.
• Disturbance ecology and recovery: fire regimes and fuels, wind and drought damage, insect and pathogen outbreaks, and post-disturbance restoration.
• Forest biodiversity, habitat structure, deadwood, and the response of flora and fauna to management or disturbance.
• Forest carbon, nutrient, and water dynamics when framed around management or land-use decisions rather than pure biogeochemistry.
• Restoration, afforestation/reforestation, and conservation in forested systems with measurable ecological outcomes and management lessons.

Method & evidence bar

• The contribution must rest on defensible ecological evidence with a clearly stated management, restoration, or conservation implication — not pattern description alone.
• Field studies need adequate replication, appropriate experimental or sampling design, and honest treatment of pseudoreplication and site confounding.
• Observational and chronosequence work must address space-for-time assumptions, stand-age and site-quality confounds, and representativeness.
• Statistical analysis must match the design (mixed/hierarchical models for nested plots, appropriate handling of repeated measures, model selection and validation reported).
• Modeling and remote-sensing studies must be calibrated and validated against field measurements with skill metrics and uncertainty, not asserted.
• Management recommendations must follow from the evidence presented, with scope and limitations stated; over-generalization from a single site or region must be avoided.

Structure & house style

• Standard Elsevier research-article structure (Introduction, Materials/Study Area, Methods, Results, Discussion, Conclusions); re-check current article types and length on the live guide.
• The introduction must motivate both the ecological question and its management context; the discussion must return explicitly to management implications.
• Figures and tables should be quantitative and load-bearing: stand/structure data, treatment contrasts, disturbance or recovery trajectories, and model–observation comparisons.
• A highlights list and a structured or graphical abstract are commonly expected — re-check current requirements on the live guide.
• Study-area description, sampling design, and data-availability statements must let a reader assess representativeness and reproduce the core analysis.

Official-submission checklist

• Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Elsevier anchors, then cite the current Forest Ecology and Management page you checked.
• Search the live site for "Forest Ecology and Management guide for authors" and follow the current Elsevier version.
• Re-check article types, highlights/abstract format, and word/figure expectations.
• Confirm the data-availability/research-data policy and any field-permit or protected-area approvals needed for sampling.
• Re-check competing-interests, funding, author-contribution (CRediT), and AI-use disclosure, and open-access options.
• If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

• The paper delivers both ecological insight and an explicit management/restoration implication.
• Sampling/experimental design is adequately replicated and free of unaddressed pseudoreplication.
• Chronosequence or space-for-time assumptions and site/stand-age confounds are handled honestly.
• Statistics match the nested/repeated-measures design and are validated.
• Any model or remote-sensing result is calibrated and validated against field data with uncertainty.
• Management recommendations are bounded by the evidence, with limitations stated.

Common desk-reject triggers

• A forest-ecology study with no management, restoration, or conservation relevance.
• A non-forest ecological study (grassland, agronomic, or aquatic) outside the journal's focus.
• Single-site, single-stand results presented as broadly generalizable without caveats.
• Pseudoreplicated or under-designed field study treating subsamples as independent replicates.
• Management recommendations not supported by the data, or asserted beyond the study's scope.
• Missing study-area/sampling detail or data-availability statement.

Re-routing decision

• Ecosystem carbon/climate-change biology is the dominant framing → global-change-biology.
• Agroforestry/agroecosystem management without a forest-stand focus → agriculture-ecosystems-and-environment.
• Large-scale forest carbon/nutrient cycling as the core → global-biogeochemical-cycles.
• Land–atmosphere flux or canopy micrometeorology dominant → agricultural-and-forest-meteorology.
• General ecological mechanism without management framing → functional-ecology or ecology-letters.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Forest Ecology and Management
[Topic tags] <2–3 closest forest-science topics>
[Ecological evidence] <the stand/disturbance/biodiversity finding and its strength>
[Management relevance] <the explicit management/restoration/conservation implication>
[Method/evidence] <does design + statistics + validation clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / highlights / data policy / permits / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

Source: brycewang-stanford/Awesome-Journal-Skills → Agriculture-Environment-Journal-Skills/skills/forest-ecology-and-management/SKILL.md