Tracking population extirpations via melding ecological niche modeling with land-cover information

2006 ◽  
Vol 195 (3-4) ◽  
pp. 229-236 ◽  
Author(s):  
A. Townsend Peterson ◽  
Victor Sánchez-Cordero ◽  
Enrique Martínez-Meyer ◽  
Adolfo G. Navarro-Sigüenza
Keyword(s):  
Land Cover ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling

scholarly journals Ecological Niche Modeling and Land Cover Risk Areas for Rift Valley Fever Vector, Culex tritaeniorhynchus Giles in Jazan, Saudi Arabia

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e65786 ◽  
Author(s):  
Mohamed F. Sallam ◽  
Azzam M. Al Ahmed ◽  
Mahmoud S. Abdel-Dayem ◽  
Mohamed A. R. Abdullah
Keyword(s):  
Saudi Arabia ◽  
Land Cover ◽  
Rift Valley ◽  
Ecological Niche ◽  
Rift Valley Fever ◽  
Ecological Niche Modeling ◽  
Niche Modeling ◽  
Valley Fever ◽  
Culex Tritaeniorhynchus ◽  
Risk Areas

Habitat quality of overwintering red-crowned cranes based on ecological niche modeling

2019 ◽  
Vol 12 (24) ◽  
Author(s):  
Juan Wang ◽  
Hongyu Liu ◽  
Yufeng Li ◽  
Huabing Zhang
Keyword(s):  
Habitat Quality ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling

scholarly journals Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gabriel Parra-Henao ◽  
Laura C. Suárez-Escudero ◽  
Sebastián González-Caro
Keyword(s):  
Chagas Disease ◽  
Sierra Nevada ◽  
Geographic Distribution ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Climatic Factors ◽  
Niche Modeling ◽  
Triatomine Species ◽  
Local Risk ◽  
And Control

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.

scholarly journals Ecological Niche Modeling ofCryptococcus gattiiin British Columbia, Canada

2010 ◽  
Vol 118 (5) ◽  
pp. 653-658 ◽  
Author(s):  
Sunny Mak ◽  
Brian Klinkenberg ◽  
Karen Bartlett ◽  
Murray Fyfe
Keyword(s):  
British Columbia ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling
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