Paeonia decomposita is on the IUCN’s Red List of endangered species, and occurs only in the northwest part of Sichuan Province, China. For the effective protection of the species, it is important to evaluate the suitability of potential habitats for P. decomposita and natural factors that influence the species. Based on the actual distribution points of P. decomposita in northwest Sichuan from 2016 to 2018, the Maximum Entropy Model (MaxEnt) was used to analyse the main factors affecting its habitat, and to predict suitable habitats. The results show that: (1) the model has high accuracy and is suitable for the prediction and evaluation of habitat suitability for P. decomposita; (2) temperature, slope, precipitation and moisture index will ...
The protection of migratory birds and their habitats is important to the ecological stability of the...
Identifying the potentially suitable climatic geographical range for Liriodendron chinense (L. chine...
Climate change will significantly affect plant distribution as well as the quality of medicinal plan...
Paeonia decomposita is on the IUCN’s Red List of endangered species, and occurs only in the northwes...
A detailed understanding of species distribution is usually a prerequisite for the rehabilitation an...
The endangered plant Cathaya argyrophylla Chun et Kuang is the only species in the genus and is ende...
The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been...
Nature reserve designs and networks are important for wildlife and habitat conservation. Gap analyse...
Modeling the current distribution of and predicting suitable habitats for threatened species support...
Objectives Detailed and reliable information about the spatial distribution of species provides impo...
The plant species in the mountainous regions might be relatively more vulnerable to climate change. ...
Abstract Background The ecosystems across Tibetan Plateau are changing rapidly under the influence o...
Abstract In recent decades, due to the effect of climate change and the interference of human activi...
Tibetan spruce (Picea smithiana) is an endemic species of the Himalayas, and it distributes only in ...
The flower buds of Magnolia biondii, M. denudata, and M sprengeri are the materials of Xinyi, a trad...
The protection of migratory birds and their habitats is important to the ecological stability of the...
Identifying the potentially suitable climatic geographical range for Liriodendron chinense (L. chine...
Climate change will significantly affect plant distribution as well as the quality of medicinal plan...
Paeonia decomposita is on the IUCN’s Red List of endangered species, and occurs only in the northwes...
A detailed understanding of species distribution is usually a prerequisite for the rehabilitation an...
The endangered plant Cathaya argyrophylla Chun et Kuang is the only species in the genus and is ende...
The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been...
Nature reserve designs and networks are important for wildlife and habitat conservation. Gap analyse...
Modeling the current distribution of and predicting suitable habitats for threatened species support...
Objectives Detailed and reliable information about the spatial distribution of species provides impo...
The plant species in the mountainous regions might be relatively more vulnerable to climate change. ...
Abstract Background The ecosystems across Tibetan Plateau are changing rapidly under the influence o...
Abstract In recent decades, due to the effect of climate change and the interference of human activi...
Tibetan spruce (Picea smithiana) is an endemic species of the Himalayas, and it distributes only in ...
The flower buds of Magnolia biondii, M. denudata, and M sprengeri are the materials of Xinyi, a trad...
The protection of migratory birds and their habitats is important to the ecological stability of the...
Identifying the potentially suitable climatic geographical range for Liriodendron chinense (L. chine...
Climate change will significantly affect plant distribution as well as the quality of medicinal plan...