Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau (QTP), with a maximum entropy model DOI Creative Commons
Lucun Yang, Xiaofeng Zhu, Wenzhu Song

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 21, 2023

Abstract Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate will shed light on the conservation endangered species. In this study, MaxEnt model was used predict potential suitable area 12 threatened medicinal plants in QTP (Qinghai-Tibet Plateau) under current future (2050s, 2070s) three scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that climatically habitats for were primarily found eastern, southeast, southern some part central regions QTP. Moreover, 25% would have reduced habitat areas within next 30-50 years different global warming scenario. Among these plants, FP ( Fritillaria przewalskii ) miss most (97.1%), while RAN Rhododendron anthopogonoides least (0.30%). Nevertheless, 41.6% an increase their because physiological characteristics which are more adaptable wide range climate. climatic 50% migrate higher altitudes or latitudes regions. This study provides data foundation wild

Language: Английский

Identifying the Risk Regions of Wild Boar (Sus scrofa) Incidents in China DOI Creative Commons
Boming Zheng, Xijie Lin, Xinhua Qi

et al.

Animals, Journal Year: 2023, Volume and Issue: 13(20), P. 3186 - 3186

Published: Oct. 12, 2023

The objectives of this study were to identify the risk regions wild boar incidents in China and draw a map. Risk maps can be used plan prioritization preventive measures, increasing management effectiveness from both short- long-term perspective. We web crawler (web information access technology) obtain reports China's largest search engine (Baidu) obtained 196 valid geographic locations reports. Subsequently, system environmental variables-with climate, topography, landscape, human disturbance as main variable types-was constructed, based on human-land-system thinking. Finally, Maxent model was applied predict space by integrating location for with variables. observed that types variables contributed descending order climate (40.5%) > (25.2%) landscape (24.4%) topography (9.8%). Among 14 variables, annual precipitation, GDP index, mean temperature distance woodland, cultivated land, elevation secondary response curves demonstrated highest probability occurred when average 16 °C, precipitation 800 mm, altitudes 150 m 1800 m. decreased an increase forested increased sharply then levelled off index. Approximately 12.18% identified being at high incidents, mainly eastern side Huhuanyong Line.

Language: Английский

Citations

3
Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau (QTP), with a maximum entropy model DOI Open Access
Lucun Yang, Xiaofeng Zhu, Wenzhu Song

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: March 11, 2024

Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate will shed light on the conservation endangered species. In this study, MaxEnt model was used predict potential suitable area 12 threatened medicinal plants in QTP (Qinghai-Tibet Plateau) under current future (2050s, 2070s) three scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that climatically habitats for were primarily found eastern, southeast, southern some part central regions QTP. Moreover, 25% would have reduced habitat areas within next 30-50 years different global warming scenario. Among these plants, FP (Fritillaria przewalskii) miss most (97.1%), while RAN (Rhododendron anthopogonoides) least (0.30%). Nevertheless, 41.6% an increase their because physiological characteristics which are more adaptable wide range climate. climatic 50% migrate higher altitudes or latitudes regions. This study provides data foundation wild

Language: Английский

Citations

0
Assessment of Climate Change Impacts on the Distribution of Endangered and Endemic Changnienia amoena (Orchidaceae) Using Ensemble Modeling and Gap Analysis in China DOI Creative Commons
Ting Liu,

Hanwei Cai,

Guangfu Zhang

et al.

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

Published: Nov. 1, 2024

Climate change has significant impacts on the distribution of orchids. The endemic and endangered orchids are more susceptible to climate than widely distributed To date, little is known concerning response

Language: Английский

Citations

0
Altitudinal Effects on Morphology and Biochemistry of Native Iranian Orchids in Guilan, Iran: Insights into Adaptive Strategies and Conservation Priorities DOI

Fahimeh Feizi,

H. Zakizadeh,

Mohammad Hossein Mirjalili

et al.

Russian Journal of Plant Physiology, Journal Year: 2024, Volume and Issue: 71(6)

Published: Dec. 1, 2024

Language: Английский

Citations

0
Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau DOI Creative Commons
Ming Li, Yi Zhang, Tongxin Wang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Abstract Gymnosia orchidis ( G. ) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of severely constrained by stringent natural conditions, leading to drastic decline in its resources. Therefore, it crucial study suitable habitat areas facilitate future artificial cultivation maintain ecological balance. In this study, we investigated zones based on 79 occurrence points Qinghai-Tibet Plateau (QTP) 23 major environmental variables, including climate, topography, soil type. We employed Maximum Entropy model (MaxEnt) simulate predict spatial distribution configuration changes during different time periods, last inter-glacial (LIG), glacial (LGM), Mid-Holocene (MH), present, scenarios (2041—2060 2061—2080) under three climate (SSP126, SSP370, SSP585). Our results indicated that annual precipitation (Bio12, 613—2466 mm) mean temperature coldest quarter (Bio11, -5.8—8.5 °C) were primary factors influencing , cumulative contribution 78.5%. The driest season had most overall impact. Under current covered approximately 63.72×10 4 /km², encompassing Yunnan, Gansu, Sichuan, parts Xizang provinces, highest suitability observed Hengduan, Yunlin, Himalayan mountain regions. past, area experienced Mid-Holocene, variations total centroid migration direction. scenarios, projected expand significantly SSP370 (30.33%—46.19%), followed SSP585 (1.41%—22.3%), while contraction expected SSP126. Moreover, centroids exhibited multidirectional movement, extensive displacement (100.38 km²). This research provides insights for guiding selection introduced species, cultivation, conservation future, also offering theoretical support protection endangered species.

Language: Английский

Citations

0
Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau (QTP), with a maximum entropy model DOI Creative Commons
Lucun Yang, Xiaofeng Zhu, Wenzhu Song

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 21, 2023

Abstract Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate will shed light on the conservation endangered species. In this study, MaxEnt model was used predict potential suitable area 12 threatened medicinal plants in QTP (Qinghai-Tibet Plateau) under current future (2050s, 2070s) three scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that climatically habitats for were primarily found eastern, southeast, southern some part central regions QTP. Moreover, 25% would have reduced habitat areas within next 30-50 years different global warming scenario. Among these plants, FP ( Fritillaria przewalskii ) miss most (97.1%), while RAN Rhododendron anthopogonoides least (0.30%). Nevertheless, 41.6% an increase their because physiological characteristics which are more adaptable wide range climate. climatic 50% migrate higher altitudes or latitudes regions. This study provides data foundation wild

Language: Английский

Citations

0