Cargando…
Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model
Sinadoxa corydalifolia is a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution of Sinadoxa corydalifolia in the three-river region (the sour...
Autores principales: | Huang, Xiaotao, Ma, Li, Chen, Chunbo, Zhou, Huakun, Yao, Buqing, Ma, Zhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465144/ https://www.ncbi.nlm.nih.gov/pubmed/32796753 http://dx.doi.org/10.3390/plants9081015 |
Ejemplares similares
-
Potentially Suitable Geographical Area for Monochamus alternatus under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model
por: Gao, Ruihe, et al.
Publicado: (2023) -
Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
por: Hebbar, Kukkehalli Balachandra, et al.
Publicado: (2022) -
8th MaxEnt Workshop
por: Skilling, J
Publicado: (1989) -
Overview of the 37th MaxEnt
por: Dias, Teresa C. M., et al.
Publicado: (2018) -
Predicting the Impact of Climate Change on the Geographical Distribution of Leafhopper, Cicadella viridis in China through the MaxEnt Model
por: Wei, Xinju, et al.
Publicado: (2023)