Impact of climate change on the distribution of Isaria cicadaeMiquel in China: predictions based on the MaxEnt model DOI Creative Commons
Zhipeng He,

Habib Ali,

Tunhua Wu

et al.

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 7, 2025

Introduction Isaria cicadae , a historically valued edible and medicinal fungus in China, has been experiencing critical decline abundance due to ecological degradation overexploitation. Understanding its potential distribution is essential for promoting sustainable harvesting practices. Methods This study utilizes the MaxEnt model, combined with known records 22 environmental variables, predict of I. under three representative emission scenarios (CMIP6: SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s 2070s. Results The analysis identifies seven key variables influencing habitat suitability : mean temperature driest quarter (bio09), wettest (bio08), precipitation month (bio16), diurnal range (bio02), isothermality (bio03), elevation, slope. Currently, mainly found provinces Yunnan, Sichuan, Hunan, Hubei, Guizhou, Jiangxi, Guangxi, Fujian, Anhui, Zhejiang, Yunnan Sichuan having largest areas high at 25.79 × 10 4 km 2 21.36 respectively. Discussion Guangxi Zhuang Autonomous Region are identified as primary regions suitability. aims further elucidate impact environment on from geographical perspective provide theoretical insights future cultivation conservation strategies this species.

Language: Английский

Impact of climate change on the distribution of Isaria cicadaeMiquel in China: predictions based on the MaxEnt model DOI Creative Commons
Zhipeng He,

Habib Ali,

Tunhua Wu

et al.

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 7, 2025

Introduction Isaria cicadae , a historically valued edible and medicinal fungus in China, has been experiencing critical decline abundance due to ecological degradation overexploitation. Understanding its potential distribution is essential for promoting sustainable harvesting practices. Methods This study utilizes the MaxEnt model, combined with known records 22 environmental variables, predict of I. under three representative emission scenarios (CMIP6: SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s 2070s. Results The analysis identifies seven key variables influencing habitat suitability : mean temperature driest quarter (bio09), wettest (bio08), precipitation month (bio16), diurnal range (bio02), isothermality (bio03), elevation, slope. Currently, mainly found provinces Yunnan, Sichuan, Hunan, Hubei, Guizhou, Jiangxi, Guangxi, Fujian, Anhui, Zhejiang, Yunnan Sichuan having largest areas high at 25.79 × 10 4 km 2 21.36 respectively. Discussion Guangxi Zhuang Autonomous Region are identified as primary regions suitability. aims further elucidate impact environment on from geographical perspective provide theoretical insights future cultivation conservation strategies this species.

Language: Английский

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