Potential Distribution and Response of Camphora longepaniculata Gamble (Lauraceae) to Climate Change in China

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 338 - 338

Published: Feb. 14, 2025

Camphora longepaniculata is an endangered evergreen tree listed as National Class II Protected Tree Species in China, highly valued for its medicinal and economic importance. Currently, research on this species has primarily focused pharmaceutical properties, while potential distribution responses to climate change remain insufficiently explored. In study, 36 valid occurrence records 11 environmental variables were utilized predict assess response future scenarios. The MaxEnt model revealed that the current of C. largely aligns with predicted suitable habitats, primary range located Sichuan Province. Furthermore, identified habitats be predominantly concentrated Shaanxi Provinces under change. Among variables, annual precipitation (bio12), minimum temperature coldest month (bio6), elevation (dem) most influential, collectively contributing over 70% model’s predictive accuracy. Future projections compared suggest a northward expansion longepaniculata, although Province core habitat Kernel density analysis points indicated largest concentration near Basin, reinforcing importance region stronghold species. Based results kernel analysis, situ conservation, artificial cultivation, establishment wild protected areas local germplasm banks are recommended stable, such parts Yunnan Guizhou Provinces. This study not only sheds light geographical but also provides scientific basis development targeted conservation strategies

Language: Английский

Assessing the impact of global warming on the distributions of Allium stipitatum and Kelussia odoratissima in the Central Zagros using a MaxEnt model

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0321167 - e0321167

Published: April 16, 2025

Global warming is an undeniable fact occurring in different parts of the world. Climate changes can have irreversible effects on plant communities, particularly endemic and endangered species. Therefore, it important to predict impact climate change distribution these species help protect them. This study utilized MaxEnt model forecast distributions two medicinal, edible, aromatic species, Kelussia odoratissima Allium stipitatum , Chaharmahal Bakhtiari province. The used CCSM4 general circulation along with scenarios, RCP2.6 RCP8.5, for 2050s 2070s potential studied. research findings indicated that performed effectively prediction (AUC≥0.9). primary environmental variables influencing were found be isothermality (Bio3), soil organic carbon, pH A. precipitation seasonality (Bio15), wettest month (Bio13) K. . suggest studied expected decline due change, under both RCP8.5 scenarios. indicates likely a significantly negative effect habitats leading ecological socio-economic impacts. our emphasizes urgent need conservation efforts prevent their extinction habitats.

Language: Английский

Prediction of Potential Habitat Distributions and Climate Change Impacts on the Rare Species Woonyoungia septentrionalis (Magnoliaceae) in China Based on MaxEnt

Plants, Journal Year: 2024, Volume and Issue: 14(1), P. 86 - 86

Published: Dec. 30, 2024

Changes in species’ habitats provide important insights into the effects of climate change. Woonyoungia septentrionalis, a critically endangered species endemic to karst ecosystems, has highly restricted distribution and is key biological resource. Despite its ecological importance, factors influencing habitat suitability remain poorly understood. This study employed niche modeling predict potential septentrionalis across China analyzed shifts centroid location explore migration pathways under current future scenarios. The model exhibited high predictive accuracy (AUC = 0.988), indicating robustness assessing suitability. Under climatic conditions, predominantly found Guizhou–Guangxi border region, southeastern Yunnan, eastern Sichuan, Tibet, parts Chongqing, Hunan, Hubei. Among these, Guizhou-Guangxi represents primary suitable habitat. Temperature factors, particularly bio6 (minimum temperature coldest month) bio7 (annual range), were most significant determinants suitability, contributing 43.29% 12.65%, respectively. Soil cation exchange capacity (CEC) accounted for 15.82%, while precipitation had relatively minor impact. scenarios, are projected shrink shift toward higher altitudes latitudes, increasing risk extinction due “mountain trap” effect, where constrained by limited at elevations. Stable habitats, Libo (Guizhou) Huanjiang (Guangxi), identified as critical refugia. We recommend prioritizing shrinking stable Guizhou, Guangxi, Yunnan situ conservation. Ex conservation efforts should focus on areas based environmental predicted ensure long-term survival. provides both theoretical practical guidance this vulnerable

Language: Английский