scholarly journals Potential geographical distribution and environmental explanations of rare and endangered plant species through combined modelling: A case study of Northwest Yunnan, China

Author(s):  
Pengcheng Ye ◽  
Guangfu Zhang ◽  
Xiao Zhao ◽  
Hui Chen ◽  
Qin Si ◽  
...  

In recent decades, due to the effect of climate change and the interference of human activities, the species habitat index fallen 2%. Studying the geographical distribution pattern and predicting the potential geographical distribution of species are of great significance for developing scientific and effective biodiversity conservation strategies. The purpose of this research is to predict the potential geographical distribution of 25 rare and endangered plant species in Northwest Yunnan, China on the grid map with a resolution of 0.05° × 0.05° and analyze the explanation capabilities of various environmental factors on the potential geographical distribution patterns of these species, and explore the main restrictive environmental factors. Initially, we employed the ecological niche model MaxEnt to predict the potential geographical distribution of target species. Following that, we overlaid the potential geographical distribution of each species, and we obtained the potential geographical distribution pattern of species richness on the spatial scale of the ecological niche model with a resolution of 0.05° × 0.05°. Ultimately, we also adopted geographically weighted regression (GWR) model to investigate the explanation capabilities of various environmental parameters on the potential distribution patterns. The results showed that the average AUC value of each species was between 0.80 and 1.00, which indicated that the simulation precision of the MaxEnt model for each species was good or excellent. Besides, the potential distribution areas of these species were between 826.33 km2 and 44,963.53 km2. In addition, the average contribution values of the annual precipitation (Bio12), precipitation of coldest quarter (Bio19) and population density (Pop) were 25.92%, 15.86% and 17.95%, respectively. Moreover, the goodness of fit R2 and AIC value of the water model were 0.88 and 7,703.82, respectively, which indicated the water factor largely influenced the potential distribution of these species. The results of this study would be helpful for implementing long-term conservation and reintroduction for these species.

Plants ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1733
Author(s):  
Vasiliy A. Chokheli ◽  
Pavel A. Dmitriev ◽  
Vishnu D. Rajput ◽  
Semyon D. Bakulin ◽  
Anatoly S. Azarov ◽  
...  

The current investigation aimed to present an overview of the conservation of biological diversity of rare and endangered plant species. Methods of biodiversity conservation as well as several overview recommendations for the preservation of various rare species have been considered. An overview of the taxa included in the red book has been presented on the example of the Russian Federation. Global and local codes and classifiers of plant rarity were also presented. Future prospects for the conservation of biological diversity and the creation and development of bioresource collections have been considered.


2019 ◽  
Vol 39 (5) ◽  
Author(s):  
塞依丁·海米提 SAYIT Hamit ◽  
努尔巴依·阿布都沙力克 NURBAY Abdushalih ◽  
许仲林 XU Zhonglin ◽  
阿尔曼·解思斯 ARMAN Jiesisi ◽  
邵华 SHAO Hua ◽  
...  

2020 ◽  
Vol 12 (10) ◽  
pp. 16399-16401
Author(s):  
Arif Ahmad ◽  
Amit Kumar ◽  
Gopal Singh Rawat ◽  
G.V. Gopi

In this note, we report the opportunistic observation of Sapria himalayana a rare and endangered plant species in Mehao Wildlife Sanctuary during our camera trapping for mammals. We recorded the plant in two locations inside the sanctuary. We found three flowers near Mehao lake and five flowers near Sally lake. Considering the restricted distribution and limited information available on Sapria himalayana it is suggested that further ecological studies to document their host plants, population and threat assessment will aid in their conservation.  


2010 ◽  
Vol 2 (3) ◽  
pp. 222-230
Author(s):  
OLONOVA Marina V. ◽  
ZHANG DaoYuan ◽  
DUAN ShiMing ◽  
YIN LinKe ◽  
PAN BoRong

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