Prediction of Climate Change Impacts on the Distribution of an Umbrella Species in Western Sichuan Province, China: Insights from the MaxEnt Model and Circuit Theory

Diversity, Journal Year: 2025, Volume and Issue: 17(1), P. 67 - 67

Published: Jan. 19, 2025

Climate change poses a significant threat to biodiversity. Predicting the impacts of climate on species distribution and dispersal through computational models big data analysis can provide valuable insights. These predictions are crucial for developing effective strategies mitigate threats that Our study investigated potential impact an umbrella (Ursus arctos pruinosus) in Western Sichuan Province, China. We employed MaxEnt Circuit Theory assess both current future shifts migration corridors. The results indicated environmental factors had greatest influence distribution, with bioclimatic variables bio12, bio3, elevation contributing 22.1%, 21.5%, 19.3%, respectively. Under climatic conditions, total suitable habitat area was 70,969.78 km2, largest habitats located Shiqu Litang, accounting 24.39% 15.86% area, However, under scenarios, RCP 2.6, 4.5, 8.5 showed reduction ranging from 7789.26 km2 16,678.85 km2. Yajiang Xinlong counties experienced most severe reductions, declines exceeding 50%. Additionally, altitudinal shifted, gradually moving higher elevations scenarios. also analyzed species’ paths. paths predominantly followed northwest-to-southeast orientation. by 2070s, all three RCPs, resistance is projected significantly increase, density will decrease, connectivity these be reduced. In extreme scenario, southern nearly disappeared, contracted towards northwest. findings highlight posed corridors, emphasizing importance considering conservation protect this vulnerable its ecosystem.

Language: Английский

Why Are Widely Distributed Species Widely Distributed? Understanding From a Quantified Investment Acquisition Strategy

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(11)

Published: Nov. 1, 2024

ABSTRACT Research on plant functional traits have advanced our understanding of investment acquisition strategies. However, it is still unknown how a strategy varies or the relative position plants leaf economic spectrum changes across different habitats. Therefore, we conducted field experiments at two long‐term ecological research sites in Shandong and Xinjiang, China, August 2023. Twenty‐two common species both four endemics each site were selected for gas exchange traits, growth nutrient trait measurements. We used methods to quantify spectrum, PCA quantification area quantification. found that 22 had significantly faster than local spectrum. Besides, plasticity was not coupled with their strategy. According results, quantified constructed 30 woody Xinjiang discussed high fast may be an adaptation distribution widely distributed species.

Language: Английский

Projected degradation of Quercus habitats in Southern China under future global warming scenarios

Forest Ecology and Management, Journal Year: 2024, Volume and Issue: 568, P. 122133 - 122133

Published: July 9, 2024

Language: Английский