The National Centre for Biological Sciences (NCBS), Bengaluru, compiled INvenTree-meta, a meta-dataset of Indian tree inventory studies.
It covers 465 published studies from 1991-2023, spanning over 4,650 hectares across India's major biomes.
The dataset aims to bring under-represented Indian and South Asian forest data into global ecological and climate analyses.
It flags major data-access gaps and identifies the northern Western Ghats, Northeast India, the Western Himalayas and the Nicobar Islands as under-sampled regions.
A meta-dataset is a compiled database that combines information from many separate studies into one structured resource, enabling large-scale comparative analysis that no single study could support on its own.
Simple Analogy: Like a library catalogue that indexes books scattered across many separate shelves and buildings into one searchable list.
Both are biodiversity-rich regions identified as under-sampled in India's tree-inventory data, relevant to conservation and forest-policy questions
GS Paper III > Environment, Biodiversity, Science and Technology
General Awareness > Science and Environment
A large naturally occurring community of plants and animals adapted to a particular climate, such as tropical, subtropical, montane or island ecosystems