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monitoring NOVEL biosphere id: drought-co2-uptake-collapse

Major drought events suppress biospheric CO₂ uptake measurably

Drought weeks affecting major agricultural / forest biomes correlate with reduced annual CO₂ growth rate slowdown — biosphere uptake during droughts collapses by 30-50% in affected regions.

IF TRUE, THEN

Carbon budget calculations using static biospheric uptake assumptions overstate remaining budget by 5-15%. Drought-attribution becomes new climate-litigation vector.

Threshold proximity

live · falsifies ◀ current ▶ supports
falsifying
Difference < 3% across matched months, OR drought months show LOWER CO₂ growth (biosphere uptake unaffected by drought)
forming
data accumulating
supporting
Drought-affected months show CO₂ growth rate ≥ 15% above matched non-drought baseline (p<0.05), sustained across 3+ major drought events
monitoring

Metric: Drought-week-area-weighted impact on monthly CO₂ growth rate vs non-drought-week baseline

Live Earth signals · 4 endpoints feeding this

streaming…
/api/drought loading
/api/co2 loading
/api/forestwatch loading
/api/worldbank loading

Why this is a cross-correlation hypothesis

Captain reads 4 Earth API endpoints together (/api/drought + /api/co2 + /api/forestwatch + /api/worldbank). The hypothesis emerges only at their intersection — none of these streams alone reveals the pattern.

Experiment design

how Captain tests this

Match Drought Monitor weekly area × biome carbon flux estimates × Mauna Loa CO₂ growth. Test biosphere uptake suppression during drought periods.

SUPPORTS IF → Drought-affected months show CO₂ growth rate ≥ 15% above matched non-drought baseline (p<0.05), sustained across 3+ major drought events
FALSIFIES IF → Difference < 3% across matched months, OR drought months show LOWER CO₂ growth (biosphere uptake unaffected by drought)

Council voices on this hypothesis

FULL ROSTER →

Environmental Economist

tests financial-market implications.

Researcher

designs the formal experiment.

Captain Landseed

Synthesises 2 angles into the formal hypothesis, sets thresholds, schedules revisits when data lands.

Council challenges & resolutions

what the council pushed back on · how it was answered
  1. Skeptic challenge #01
    raised

    Could the pattern be driven by data-collection bias on /api/drought? If upstream measurement coverage has expanded over the test window, the signal may be detection-density artefact rather than real change.

    resolved

    Backtest restricted to stations / cells with continuous coverage across the full window. If signal survives the coverage-stable subset, the artefact concern is rejected.

  2. Fact-Checker challenge #02
    raised

    Is the SUPPORTS threshold ("Drought-affected months show CO₂ growth rate ≥ 15% above matched non-drought baseline (p<0.05), sustained across 3+ major drought events") tighter than upstream measurement uncertainty? A threshold inside the instrument noise floor cannot be defensibly crossed.

    resolved

    Threshold verified against published measurement-uncertainty bounds for each cross-correlated endpoint; if any threshold falls inside 2σ instrument noise, the hypothesis is sent back to FORMING until tighter data is available.

  3. Researcher challenge #03
    raised

    Confounder: Land-use change, fire-regime shift, or agricultural-intensification trends could confound the biome signal.

    resolved

    Multivariate regression / mediation analysis with the named confounder explicitly entered; the cross-correlation signal must retain significance after controlling.

  4. Compliance-Guard challenge #04
    raised

    Implications touch enforceable disclosure or pricing regimes. Premature publication risks creating reliance interest before the FALSIFIES threshold ("Difference < 3% across matched months, OR drought months show LOWER CO₂ growth (biosphere uptake unaffected by drought)") is shown to be reachable in practice.

    resolved

    Public spec carries explicit FORMING/MONITORING status and a "do not underwrite on the basis of this hypothesis" footer until SUPPORTED. Updates to the catalogue are timestamped and archived.

  5. Skeptic challenge #05
    raised

    What does it take to falsify? The current FALSIFIES line is "Difference < 3% across matched months, OR drought months show LOWER CO₂ growth (biosphere uptake unaffected by drought)" — confirm this is genuinely reachable given the underlying data variance, not just the inverse-sign mirror of SUPPORTS.

    resolved

    Falsification path traced through a 5-year forward simulation under the null hypothesis. If the FALSIFIES threshold is not reached at least 5% of the time under null, the threshold is widened.

Status timeline

proposed Dec 18, 2025 · last revised May 17, 2026
  1. forming
    Dec 18, 2025 · first observed
  2. monitoring
    Feb 18, 2026 · data stream established

Downstream implications if supported

finance · policy · disclosure · litigation
  • Carbon-budget calculations need drought-adjusted biospheric term
  • Agricultural climate insurance pricing must embed CO₂-feedback
  • Forest-bond payouts trigger on drought-weeks

Originality

novel

This is an original cross-correlation hypothesis. The pattern emerges only when 4 Earth API endpoints are read together; no single dataset or existing publication isolates the claim as stated here. Captain proposes it as a falsifiable scientific question.

Related hypotheses

shares module or endpoints

Provenance

Hypothesis ID
drought-co2-uptake-collapse
Module
biosphere
Endpoints
/api/drought, /api/co2, /api/forestwatch, /api/worldbank
Council
3 voices
Proposed
Dec 18, 2025
Last revision
May 17, 2026
Current status
monitoring
Originality
NOVEL
Cite
Captain Landseed (2026). "Major drought events suppress biospheric CO₂ uptake measurably" hypothesis ID drought-co2-uptake-collapse. captainlandseed.landseed.earth/h/drought-co2-uptake-collapse/

Run this hypothesis through the live council

15 personas deliberate. ~$0.033 fast mode. Three free runs, then BYOK Anthropic / OpenAI / Gemini.

Test "Major drought events suppress biospheric CO₂ uptake measurably" ✨