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1 Ergebnisse
1
Predicting the Potential Distribution of the Endangered Pla..:
Wen-Na Li
;
Qian Zhao
;
Ming-Hao Guo
...
Forest Ecology and Management. , 2022
Link:
https://doi.org/10.3390/f13091504
RT Journal T1
Predicting the Potential Distribution of the Endangered Plant Cremastra appendiculata (Orchidaceae) in China under Multiple Climate Change Scenarios
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_1999-4907_13_9_1504_&Exemplar=1&LAN=DE A1 Wen-Na Li A1 Qian Zhao A1 Ming-Hao Guo A1 Chan Lu A1 Fei Huang A1 Zhe-Zhi Wang A1 Jun-Feng Niu PB Multidisciplinary Digital Publishing Institute YR 2022 K1 climate change K1 endangered plant K1 MaxEnt model K1 potential distribution K1 suitable region JF Forest Ecology and Management LK http://dx.doi.org/https://doi.org/10.3390/f13091504 DO https://doi.org/10.3390/f13091504 SF ELIB - SuUB Bremen
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