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# Mountain forest maps predicted tree carbon better than soil carbon
- URL: https://intelligence.wildlandseco.com/2026-10-21-gansu-forest-soil-carbon-map-uncertainty/
- Published: 2026-10-21T14:11:21.000Z
- Updated: 2026-10-21T14:11:21.000Z
- Description: Gansu field plots expose uncertainty hidden beneath a mapped total.
- Author: Benjamin Worlund
- Tags: mountain forests, soil carbon, mapping uncertainty, Gansu, Land, Climate, Methods, #ecological-intelligence, #brief-2026-10-21, #global-radar, #peer-reviewed, #geo-asia

Evidence

Peer-reviewed

Geography

Taohe Reserve, Gansu, China

System

Mountain forest carbon and remote sensing

## WHAT THE EVIDENCE SAYS

Across ninety plots, soil made up 71.5 percent of measured ecosystem carbon and biomass 24.9 percent. Random forests predicted plot-scale biomass and total carbon better than soil or deadwood, and performed less reliably when extrapolated spatially.

## WHY IT MATTERS / OUR READ

Canopy greenness is not a measurement of every carbon pool. Carbon plans need component sampling and explicit uncertainty for terrain and unobserved extremes.

## CAVEATS / UNCERTAINTY

A specific mountain reserve and uneven plot coverage; the reserve-wide maps are relative spatial guides, not reliable per-pixel carbon inventories.

## SOURCE

Frontiers in Plant Science — Zong et al. (2026)  
[View original evidence ↗](https://doi.org/10.3389/fpls.2026.1935881?ref=intelligence.wildlandseco.com)

From the Morning Brief · 2026-10-21

[Read the full Morning Brief →](https://intelligence.wildlandseco.com/morning-brief-2026-10-21/)