PaleoENM: applying ecological niche modeling to the fossil record

Paleobiology ◽  
2015 ◽  
Vol 41 (2) ◽  
pp. 226-244 ◽  
Author(s):  
Corinne E. Myers ◽  
Alycia L. Stigall ◽  
Bruce S. Lieberman

AbstractEcological niche modeling (ENM) is a quantitative approach to predict species’ abiotic requirements. It is a correlative technique, requiring geographically explicit information on species occurrences and the suites of environmental conditions experienced at each occurrence point. The output of these models is a set of environmental suitability rules that can be projected geographically and through time to test biogeographic, ecologic, and evolutionary hypotheses. Although developed by biologists and used extensively in the modern, ENM is in its early stages of application to the deep-time fossil record (hence PaleoENM). In part its limited use in the fossil record thus far reflects the methodological challenge of constructing paleoenvironmental layers needed for PaleoENM analysis, whereas in the modern these layers are available from large public databases (e.g., WorldClim). This paper provides a contextual and methodological framework for appropriately applying PaleoENM, including best practices for developing species occurrence and paleoenvironmental data sets for PaleoENM analyses.

Mammalia ◽  
2019 ◽  
Vol 83 (4) ◽  
pp. 330-342 ◽  
Author(s):  
M. Ángel León-Tapia ◽  
Fernando A. Cervantes

Abstract Nelsonia goldmani is an uncommon rodent, endemic to highland microhabitats in central Mexico. Few individuals have been reported in scarce localities after being discovered in 1903 resulting in a lack of knowledge about its geographic distribution and actual presence in its habitat; such situation makes this species of national interest priority for conservation. Therefore, the aim of this study was to summarize collecting records, confirm the presence of this species in the field and estimate its ecological niche. We searched specimens in biological collections, carried out an ecological niche modeling (ENM) analysis and looked for individuals of N. goldmani in the field over a 2-year period. Our results identified only 43 specimens in biological collections, whose collecting localities had not been reported previously. The ENM analysis showed that the environmental suitability areas for this species are restricted and isolated with an apparent lack of environmental connectivity. Regarding fieldwork, we collected only five individuals in two localities. The possible environmental specificity and the lack of sampling focused on specific microhabitats could explain the low detection of the species thus far. Further research is needed to plan conservation actions to protect its populations.


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.


2010 ◽  
Vol 118 (5) ◽  
pp. 653-658 ◽  
Author(s):  
Sunny Mak ◽  
Brian Klinkenberg ◽  
Karen Bartlett ◽  
Murray Fyfe

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