Climate Landuse Biodiversity Nexus

DISCLAIMER — Real Driver-Ranking Science, a Relation Package, No Framework Bridge

Why no UTAC/CREP/AFET bridge: not only because the cited literature already provides the necessary quantitative structure -- a deliberate choice. This project's highly speculative AFET/UTAC experiments must never stand in the way of climate/ecology topics being accessible and usable to people who don't work inside that construct and aren't looking for renormalization groups. Real, checkable science, without the burden of an unproven framework. See PACKAGE_REGISTRY.md's "Why no UTAC/CREP/AFET bridge in the climate/ecology series" (2026-08-31) in the GenesisAeon workspace root for the full canonical note.

Status: Real, independently verified science, deliberately a relation package connecting four existing GenesisAeon packages to an official driver framework. NO UTAC/CREP/AFET bridge.

Where this package came from

Surfaced via a six-document multi-AI gap-analysis of the GenesisAeon climate/ecology portfolio (KlimaAktuell/, six independently-produced documents, 2026-09-01), cross-checked against PACKAGE_REGISTRY.md, then independently deep-dive re-verified before building. The last of a five-package batch (P122-P126) built together.

What this is

Every citation checked directly via WebSearch, 2026-09-01.

• IPBES (2025), "Summary for Policymakers of the Thematic
• Assessment of the Interlinkages among Biodiversity, Water, Food and
• Health (Nexus Assessment)" — real, official: approved at the IPBES-11
• Plenary, Windhoek, Namibia, 2024-12-10 to 2024-12-16, by 165 selected
• experts assisted by over 70 contributing authors. Names five direct
• biodiversity drivers: land/sea-use change, direct exploitation,
• climate change, pollution, invasive al

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climate-landuse-biodiversity-nexus-utac

GenesisAeon Package 126 — real biodiversity-driver ranking science, connecting existing GenesisAeon packages to the official IPBES driver framework. Deliberately has no UTAC/CREP/AFET bridge — see DISCLAIMER.md.

For a plain-language explanation of the same topic (German, no jargon, written for general audiences), see WHITEPAPER.md.

Where this package came from

Surfaced via a six-document multi-AI gap-analysis of the GenesisAeon climate/ecology portfolio (KlimaAktuell/, 2026-09-01), then independently deep-dive verified before building — the last of a five-package batch alongside ocean-acidification-utac (P122), tropical-glacier-ecosystem-rle-utac (P123), marine-compound-stressors-utac (P124), and assisted-gene-flow-utac (P125). Deliberately a relation package: it documents which existing GenesisAeon package — amazon-utac (P19), freshwater-ecosystem-stressors-utac (P106), mixed-forest-resilience-utac (P113), and biodiversity-utac (P115) — is actually about which official IPBES direct biodiversity driver, something none of those packages currently states explicitly.

What's real here

• IPBES Nexus Assessment (approved 2024-12, Windhoek, Namibia, 165
• experts + 70 contributing authors) — the official list of five
• direct biodiversity drivers: land/sea-use change, direct
• exploitation, climate change, pollution, invasive alien species.
• Jaureguiberry et al. (2022, Science Advances)* — a real,
• quantitative systematic synthesis: on land and in freshwater,
• land/sea-use change is the dominant driver, direct exploitation
• ranks second, pollution third — climate change and invasive species
• are significantly less important overall in these realms.

Deliberately not one-sided

is_land_use_dominant_in_every_realm() returns False — in the ocean realm, the ranking reverses: direct exploitation and climate change dominate instead, a real, documented realm-specific reversal of the land/freshwater ranking. There is no single global driver ranking that applies everywhere.

Quickstart

bash pip install climate-landuse-biodiversity-nexus-utac

```python from climate_landuse_biodiversity_nexus_utac import ( land_freshwater_driver_ranking, ocean_dominant_drivers, primary_driver_for_package, is_land_use_dominant_in_every_realm, )

print(land_freshwater_driver_ranking()) # ('land/sea-use change', 'direct exploitation', 'pollution') print(ocean_dominant_drivers()) # ('direct exploit

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