scholarly journals Predicting suitable habitat of the Chinese monal (Lophophorus lhuysii) using ecological niche modeling in the Qionglai Mountains, China

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3477 ◽  
Author(s):  
Bin Wang ◽  
Yu Xu ◽  
Jianghong Ran

Understanding the distribution and the extent of suitable habitats is crucial for wildlife conservation and management. Knowledge is limited regarding the natural habitats of the Chinese monal (Lophophorus lhuysii), which is a vulnerable Galliform species endemic to the high-montane areas of southwest China and a good candidate for being an umbrella species in the Qionglai Mountains. Using ecological niche modeling, we predicted current potential suitable habitats for the Chinese monal in the Qionglai Mountains with 64 presence points collected between 2005 and 2015. Suitable habitats of the Chinese monal were associated with about 31 mm precipitation of the driest quarter, about 15 °C of maximum temperature of the warmest month, and far from the nearest human residential locations (>5,000 m). The predicted suitable habitats of the Chinese monal covered an area of 2,490 km2, approximately 9.48% of the Qionglai Mountains, and was highly fragmented. 54.78% of the suitable habitats were under the protection of existing nature reserves and two conservation gaps were found. Based on these results, we provide four suggestions for the conservation management of the Chinese monal: (1) ad hoc surveys targeting potential suitable habitats to determine species occurrence, (2) more ecological studies regarding its dispersal capacity, (3) establishment of more corridors and green bridges across roads for facilitating species movement or dispersal, and (4) minimization of local disturbances.

The Condor ◽  
2006 ◽  
Vol 108 (4) ◽  
pp. 778-791 ◽  
Author(s):  
Marina Anciães ◽  
A. Townsend Peterson

Abstract Abstract Assessing the nature and magnitude of potentialeffects of climate change on populations isimportant to anticipating effects on speciesdiversity for conservation planning. We usedecological niche modeling to predict present andfuture distributions of 49 species of manakins(Pipridae) and allies. Predictions forpresent-day distributions were highly coincidentwith independent test data, suggesting goodpredictive ability. Assuming no dispersal,projections of potential distributions underfour scenarios of climate change predicted that20% of manakin species would likely goextinct from their current ranges, and thatdistributions would in general be reduced andfragmented, regardless of the area ofpresent-day potential distribution or rarity.Predicted changes in potential distributions,spatial configuration of suitable habitats, andgeographic position of species ranges were moredramatic for species inhabiting flatlands thanfor montane species. These results are anexample of how ecological niche modelingtechniques can anticipate the nature andmagnitude of changes in biodiversity in responseto climate change.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gabriel Parra-Henao ◽  
Laura C. Suárez-Escudero ◽  
Sebastián González-Caro

Ecological niche modeling of Triatominae bugs allow us to establish the local risk of transmission of the parasiteTrypanosoma cruzi,which causes Chagas disease.This information could help to guide health authority recommendations on infection monitoring, prevention, and control. In this study, we estimated the geographic distribution of triatomine species in Colombia and identified the relationship between landscape structure and climatic factors influencing their occurrence. A total of 2451 records of 4 triatomine species (Panstrongylus geniculatus,Rhodnius pallescens,R. prolixus, andTriatoma maculata) were analyzed.The variables that provided more information to explain the ecologic niche of these vectors were related to precipitation, altitude, and temperature. We found that the species with the broadest potential geographic distribution wereP. geniculatus,R. pallescens, andR. prolixus. In general, the models predicted the highest occurrence probability of these vectors in the eastern slope of the Eastern Cordillera, the southern region of the Magdalena valley, and the Sierra Nevada of Santa Marta.


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