Topic Selection & Fit (gcb-topic-selection)

SkillDev tools

Use when deciding whether a research idea fits Global Change Biology (GCB) and how to frame its significance. GCB wants a mechanistic link between a global-change driver and a biological response, of broad relevance across systems. Tests fit and sharpens the question; it does not generate data or guarantee acceptance.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Topic Selection & Fit (gcb-topic-selection) skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Global-Change-Biology-Skills/skills/gcb-topic-selection/SKILL.md and read by ahel’s review.

GCB's remit is the interface between global environmental change and biological systems. A paper fits when it shows how a driver of global change affects (or is affected by) living systems — and why that matters beyond a single site or species. This skill tests fit and sharpens the framing before you invest in design.

When to trigger

  • Deciding whether an idea belongs in GCB versus a regional, taxon-specific, or conservation-practice journal
  • Framing the global-change significance and the mechanism up front
  • Choosing the article type (Primary Research Article, Technical Advance, Review, Opinion/Perspective)

The GCB fit test

  1. Is there a global-change driver? Climate warming, drought, rising CO2 / tropospheric ozone, nitrogen deposition, land-use change, ocean change — an aspect of change that affects a substantial part of the globe.
  2. Is there a biological response or feedback? A response or feedback in a biological system, at any level from molecular to biome, aquatic or terrestrial, managed or natural.
  3. Is the link mechanistic? GCB rewards why/how, not just that a correlation exists.
  4. Is it broadly relevant? The finding should generalize or transfer beyond one local context.
  5. Is the evidence commensurate? Manipulation, observation/gradient, or modelling that can actually support a global-change claim at the stated scale.

Sharpening the question

  • State the driver, the response, the system, and the scale in one sentence.
  • Name the mechanism you will test and the alternative explanations you will rule out.
  • Decide whether the contribution is empirical (new mechanism/data), methodological (Technical Advance), or synthetic (Research Review) — that sets the article type.

Fit triage at a glance

Run a candidate idea through this triage before committing. The verdict column reflects how GCB's scope screen tends to treat each pattern; it is guidance, not a guarantee.

Idea patternDriver?Mechanism?Broad reach?Likely verdict
Warming alters microbial carbon cycling across biomesYesYesYesStrong fit
Single-site phenology record, no mechanismWeakNoNoReframe or redirect
Conservation action plan for one reserveNoNoNoOut of scope
New flux-partitioning method tested globallyImplicitMethodologicalYesTechnical Advance
Synthesis of eCO2 effects on N cyclingYesYesYesResearch Review

Worked micro-example (illustrative)

An idea: "drought reduced tree growth in our forest plot." As stated it is a local description — likely out of scope. Sharpened for GCB: "we test whether drought-induced growth decline is driven by hydraulic failure versus carbon starvation, and whether the threshold transfers across an aridity gradient from temperate to semi-arid forests." Now there is a named driver (drought), a contested mechanism (hydraulic vs carbon), and cross-system reach (the aridity gradient). The same data, reframed around mechanism and generality, becomes a candidate Primary Research Article. The framing is illustrative.

Reframing pushback patterns

  • "No mechanism, just a pattern" → state the competing mechanisms and which one the study adjudicates.
  • "Reads as conservation practice" → recast the question as an ecosystem process or global-change feedback, not a management recommendation.
  • "Relevant only to your site" → identify the gradient, biome, or system class over which the result is expected to generalize.

Anti-patterns

  • A local description with no global-change driver or broad relevance
  • A conservation-management or policy plan with no mechanism (that is a different journal — GCB is global-change mechanisms and ecosystem processes, not conservation practice)
  • "Climate change is important" framing with no specific driver-response mechanism tested
  • A taxonomy/systematics or pure-methods piece with no global-change motivation

Output format

【One-sentence fit】driver → response, system, scale
【Mechanism】what is being explained, not just correlated
【Broad relevance】why it matters beyond one site/species
【Evidence type】manipulation / observation / modelling / synthesis
【Article type】Primary Research Article / Technical Advance / Research Review / Opinion / Perspective
【Fit verdict】strong / needs reframing / out of scope → why
【Next】gcb-literature-positioning

Supplementary resources

Signals

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Item type
skill
Key
gcb-topic-selection
Source
github.com/brycewang-stanford/awesome-journal-skills