scholarly journals Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling

2018 ◽  
Vol 8 (21) ◽  
pp. 10542-10554 ◽  
Author(s):  
Arjun Thapa ◽  
Ruidong Wu ◽  
Yibo Hu ◽  
Yonggang Nie ◽  
Paras B. Singh ◽  
...  
2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Ayse Gul Sarikaya ◽  
◽  
Omer K. Orucu ◽  

Arbutus andrachne L., the strawberry tree, is an evergreen shrub or small tree in the Turkish flora and has broad uses. The wood is used for decorative purposes, packaging, and manufacturing furniture. The fruits are edible and used in treating many kinds of diseases. However, global warming might affect the abundance of this symbolic plant's distribution, especially at higher latitudes. This study was conducted to determine the expected effects of climate change on A. andrachne. For this purpose, Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 were used to expect climate change scenarios for 2050 and 2070, and potential distribution areas of A. andrachne were presented. The results indicated that the distribution of A. andrachne would decrease in the southern regions of Turkey. However, the spread of the species could be expanded in the western and northern areas. It is also expected that there would be potential habitat losses, which would affect the distribution of A. andrachne.


2020 ◽  
Vol 21 ◽  
pp. e00890
Author(s):  
Arjun Thapa ◽  
Yibo Hu ◽  
Prakash Chandra Aryal ◽  
Paras Bikram Singh ◽  
Karan Bahadur Shah ◽  
...  

2018 ◽  
Vol 220 ◽  
pp. 112-121 ◽  
Author(s):  
Arjun Thapa ◽  
Yibo Hu ◽  
Fuwen Wei

2020 ◽  
Vol 57 (5) ◽  
pp. 1659-1667 ◽  
Author(s):  
Huercha ◽  
Ruiqi Song ◽  
Ying Ma ◽  
Zhengxiang Hu ◽  
Yingke Li ◽  
...  

Abstract Dermacentor marginatus Sulkzer is a common tick species found in the Xinjiang Uygur Autonomous Region (XUAR) of China, and is a vector for a variety of pathogens. To determine the potential distribution of this tick species in Xinjiang, a metadata containing 84 D. marginatus presence records combined with four localities from field collection were used for MaxEnt modeling to predict potential distribution of this tick species. Identification of tick samples showed 756 of 988 (76%) were D. marginatus. MaxEnt modeling results indicated that the potential distribution of this tick species was mainly confined to northern XUAR. Highly suitable areas included west side of Altay mountain, west rim of Junggar basin, and Yili River valley in the study area. The model showed an AUC value of 0.838 ± 0.063 (SD), based on 10-fold cross-validation. Although tick presence records used for modeling were limited, this is the first regional tick distribution model for D. marginatus in Xinjiang. The model will be helpful in assessing the risk of tick-borne diseases to human and animals in the region.


Therya ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 203-212
Author(s):  
Leidy Azucena Ramírez-Fráncel ◽  
Leidy Viviana García-Herrera ◽  
Gladys Reinoso-Florez

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