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Himalayan alpine grazing intensity tracked sharp soil-carbon contrasts

A single-season Indian grassland survey tested inexpensive soil measurements as disturbance classifiers.

Evidence
Peer-reviewed
Geography
Two alpine bugyal meadows, Uttarakhand, India
System
Himalayan rangelands; soils; remote monitoring

WHAT THE EVIDENCE SAYS

Researchers sampled 90 topsoils at two Uttarakhand alpine meadows across visually classified grazing gradients. Organic carbon was 5.71% versus 3.39% in least and most disturbed classes; nitrogen was lower and bulk density higher, while five-fold cross-validated Random Forest accuracy averaged 86.3%.

WHY IT MATTERS / OUR READ

Soil indicators may help monitor remote working grasslands when repeated vegetation surveys are difficult, but classification is not a causal test of stocking policy.

CAVEATS / UNCERTAINTY

Disturbance classes based partly on visible vegetation and bare ground; one pre-monsoon sampling campaign, two sites and no independent external validation.

SOURCE

Kumar et al. · Discover Computing (3 Nov 2026)
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