4.7 Article

MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia

Journal

FORESTS
Volume 13, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/f13050715

Keywords

GIS and remote sensing; species distribution modelling; species niche shift; resource management and conservation

Categories

Funding

  1. National Natural Science Foundation of China [42071321, 41901292]

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This study aimed to investigate the potential habitat suitability variations and factors influencing the distribution of Chilgoza pine. By analyzing multiple environmental variables, the study found that the predictive models for the presence of Chilgoza pine had high accuracy, and the potentially suitable habitat for this species had shrunk in Afghanistan, India, and China. Overall, the study suggested a continuous range contraction for Chilgoza pine and provided important insights for conservation and management plans in the region.
Chilgoza pine is an economically and ecologically important evergreen coniferous tree species of the dry and rocky temperate zone, and a native of south Asia. This species is rated as near threatened (NT) by the International Union for Conservation of Nature (IUCN). This study hypothesized that climatic, soil and topographic variations strongly influence the distribution pattern and potential habitat suitability prediction of Chilgoza pine. Accordingly, this study was aimed to document the potential habitat suitability variations of Chilgoza pine under varying environmental scenarios by using 37 different environmental variables. The maximum entropy (MaxEnt) algorithm in MaxEnt software was used to forecast the potential habitat suitability under current and future (i.e., 2050s and 2070s) climate change scenarios (i.e., Shared Socio-economic Pathways (SSPs): 245 and 585). A total of 238 species occurrence records were collected from Afghanistan, Pakistan and India, and employed to build the predictive distribution model. The results showed that normalized difference vegetation index, mean temperature of coldest quarter, isothermality, precipitation of driest month and volumetric fraction of the coarse soil fragments (>2 mm) were the leading predictors of species presence prediction. High accuracy values (>0.9) of predicted distribution models were recorded, and remarkable shrinkage of potentially suitable habitat of Chilgoza pine was followed by Afghanistan, India and China. The estimated extent of occurrence (EOO) of the species was about 84,938 km(2), and the area of occupancy (AOO) was about 888 km(2), with 54 major sub-populations. This study concluded that, as the total predicted suitable habitat under current climate scenario (138,782 km(2)) is reasonably higher than the existing EOO, this might represent a case of continuous range contraction. Hence, the outcomes of this research can be used to build the future conservation and management plans accordingly for this economically valuable species in the region.

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