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Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model
by
Hou, Yiju
, Zhou, Hua
, Liu, Na
, Zhang, Xu
, Zhang, Xi
, Wu, Peng
, Yang, Guangneng
in
Altitude
/ bamboos
/ Biodiversity
/ Chimonobambusa
/ Chimonobambusa utilis
/ climate
/ Climate change
/ Climate prediction
/ Entropy
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Geographical distribution
/ Global warming
/ Habitats
/ humans
/ latitude
/ Precipitation
/ prediction
/ Research centers
/ risk
/ species
/ suitable habitat
/ Terrestrial ecosystems
/ the maximum entropy model (MaxEn
2024
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Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model
by
Hou, Yiju
, Zhou, Hua
, Liu, Na
, Zhang, Xu
, Zhang, Xi
, Wu, Peng
, Yang, Guangneng
in
Altitude
/ bamboos
/ Biodiversity
/ Chimonobambusa
/ Chimonobambusa utilis
/ climate
/ Climate change
/ Climate prediction
/ Entropy
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Geographical distribution
/ Global warming
/ Habitats
/ humans
/ latitude
/ Precipitation
/ prediction
/ Research centers
/ risk
/ species
/ suitable habitat
/ Terrestrial ecosystems
/ the maximum entropy model (MaxEn
2024
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Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model
by
Hou, Yiju
, Zhou, Hua
, Liu, Na
, Zhang, Xu
, Zhang, Xi
, Wu, Peng
, Yang, Guangneng
in
Altitude
/ bamboos
/ Biodiversity
/ Chimonobambusa
/ Chimonobambusa utilis
/ climate
/ Climate change
/ Climate prediction
/ Entropy
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Geographical distribution
/ Global warming
/ Habitats
/ humans
/ latitude
/ Precipitation
/ prediction
/ Research centers
/ risk
/ species
/ suitable habitat
/ Terrestrial ecosystems
/ the maximum entropy model (MaxEn
2024
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Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model
Journal Article
Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model
2024
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Overview
Chimonobambusa utilis is a unique edible bamboo species valued for its economic and nutritional benefits. However, its existence in natural habitats is at risk due to environmental shifts and human interventions. This research utilised the maximum entropy model (MaxEnt) to predict potential habitats for Ch. utilis in China, identifying key environmental factors influencing its distribution and analysing changes in suitable habitats under future climate conditions. The results show that the results of the MaxEnt model have high prediction accuracy, with an AUC (Area Under the receiver operating characteristic Curve) value of 0.997. Precipitation in the driest month (Bio14), altitude (Alt) and isothermality (Bio03) emerged as the primary environmental factors influencing the Ch. utilis distribution. Currently, the suitable habitats area for Ch. utilis is 10.55 × 10 4 km 2 . Projections for the 2050s and 2090s indicate potential changes in suitable habitats ranging from -3.79% to 10.52%. In general, the most suitable habitat area will decrease and shrink towards higher latitude areas in the future. This study provides a scientific basis for the introduction, cultivation and conservation of Ch. utilis .
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