Spatial heterogeneity of climate explains plant richness distribution at the regional scale in India.

ABSTRACT:

Introduction

Knowledge of species richness patterns and their relation with climate is required to develop various forest management actions including habitat management, biodiversity and risk assessment, restoration and ecosystem modelling. In practice, the pattern of the data might not be spatially constant and cannot be well addressed by ordinary least square (OLS) regression. This study uses GWR to deal with spatial non-stationarity and to identify the spatial correlation between the plant richness distribution and the climate variables (i.e., the temperature and precipitation) in a 1° grid in different biogeographic zones of India.

Methodology

We utilized the species richness data collected using 0.04 ha nested quadrats in an Indian study. The data from this national st

SUBMITTER: Tripathi P 

PROVIDER: S-EPMC6586307 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature