Topic Selection & Fit (gcb-topic-selection)
SkillDev toolsUse 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.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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
- 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.
- 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.
- Is the link mechanistic? GCB rewards why/how, not just that a correlation exists.
- Is it broadly relevant? The finding should generalize or transfer beyond one local context.
- 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 pattern | Driver? | Mechanism? | Broad reach? | Likely verdict |
|---|---|---|---|---|
| Warming alters microbial carbon cycling across biomes | Yes | Yes | Yes | Strong fit |
| Single-site phenology record, no mechanism | Weak | No | No | Reframe or redirect |
| Conservation action plan for one reserve | No | No | No | Out of scope |
| New flux-partitioning method tested globally | Implicit | Methodological | Yes | Technical Advance |
| Synthesis of eCO2 effects on N cycling | Yes | Yes | Yes | Research 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
../../resources/external_tools.md— global-change data sources by driver/system../../resources/official-source-map.md— GCB aims-and-scope and article types
Signals
- GitHub stars
- 1k
- Forks
- 155
- Last commit
- Sep 2026
Advanced
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gcb-topic-selection- Source
- github.com/brycewang-stanford/awesome-journal-skills
github.com/brycewang-stanford/awesome-journal-skills
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