scholarly journals Local-scale models reveal ecological niche variability in amphibian and reptile communities from two contrasting biogeographic regions

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2405 ◽  
Author(s):  
Alberto Muñoz ◽  
Xavier Santos ◽  
Ángel M. Felicísimo

Ecological Niche Models (ENMs) are widely used to describe how environmental factors influence species distribution. Modelling at a local scale, compared to a large scale within a high environmental gradient, can improve our understanding of ecological species niches. The main goal of this study is to assess and compare the contribution of environmental variables to amphibian and reptile ENMs in two Spanish national parks located in contrasting biogeographic regions, i.e., the Mediterranean and the Atlantic area. The ENMs were built with maximum entropy modelling using 11 environmental variables in each territory. The contributions of these variables to the models were analysed and classified using various statistical procedures (Mann–WhitneyUtests, Principal Components Analysis and General Linear Models). Distance to the hydrological network was consistently the most relevant variable for both parks and taxonomic classes. Topographic variables (i.e., slope and altitude) were the second most predictive variables, followed by climatic variables. Differences in variable contribution were observed between parks and taxonomic classes. Variables related to water availability had the larger contribution to the models in the Mediterranean park, while topography variables were decisive in the Atlantic park. Specific response curves to environmental variables were in accordance with the biogeographic affinity of species (Mediterranean and non-Mediterranean species) and taxonomy (amphibians and reptiles). Interestingly, these results were observed for species located in both parks, particularly those situated at their range limits. Our findings show that ecological niche models built at local scale reveal differences in habitat preferences within a wide environmental gradient. Therefore, modelling at local scales rather than assuming large-scale models could be preferable for the establishment of conservation strategies for herptile species in natural parks.

2020 ◽  
Vol 9 (12) ◽  
pp. 764
Author(s):  
Neftalí Sillero ◽  
Elena Argaña ◽  
Cátia Matos ◽  
Marc Franch ◽  
Antigoni Kaliontzopoulou ◽  
...  

Species can occupy different realised niches when sharing the space with other congeneric species or when living in allopatry. Ecological niche models are powerful tools to analyse species niches and their changes over time and space. Analysing how species’ realised niches shift is paramount in ecology. Here, we examine the ecological realised niche of three species of wall lizards in six study areas: three areas where each species occurs alone; and three areas where they occur together in pairs. We compared the species’ realised niches and how they vary depending on species’ coexistence, by quantifying niche overlap between pairs of species or populations with the R package ecospat. For this, we considered three environmental variables (temperature, humidity, and wind speed) recorded at each lizard re-sighting location. Realised niches were very similar when comparing syntopic species occurring in the same study area. However, realised niches differed when comparing conspecific populations across areas. In each of the three areas of syntopy, the less abundant species shift its realised niche. Our study demonstrates that sympatry may shift species’ realised niche.


2021 ◽  
Vol 304 (10) ◽  
pp. 2264-2278
Author(s):  
Camilo A. Linares‐Vargas ◽  
Wilmar Bolívar‐García ◽  
Alexandra Herrera‐Martínez ◽  
Daniel Osorio‐Domínguez ◽  
Oscar E. Ospina ◽  
...  

Ecography ◽  
2004 ◽  
Vol 27 (3) ◽  
pp. 350-360 ◽  
Author(s):  
Juan L. Parra ◽  
Catherine C. Graham ◽  
Juan F. Freile

2016 ◽  
Vol 187 (4) ◽  
pp. 423-435 ◽  
Author(s):  
Christopher A. Searcy ◽  
H. Bradley Shaffer

2018 ◽  
Vol 383 ◽  
pp. 52-68 ◽  
Author(s):  
James L. Tracy ◽  
Antonio Trabucco ◽  
A. Michelle Lawing ◽  
J. Tomasz Giermakowski ◽  
Maria Tchakerian ◽  
...  

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