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>