2017
DOI: 10.7717/peerj.3632
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Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists

Abstract: BackgroundRare or narrowly endemic organisms are difficult to monitor and conserve when their total distribution and habitat preferences are incompletely known. One method employed in determining distributions of these organisms is species distribution modeling (SDM).MethodsUsing two species of narrowly endemic burrowing crayfish species as our study organisms, we sought to ground validate Maxent, a commonly used program to conduct SDMs. We used fine scale (30 m) resolution rasters of pertinent habitat variabl… Show more

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Cited by 89 publications
(47 citation statements)
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“…More precisely, correlative models can predict whether populations will experience nonanalogous climates under climatic change ( 38 ), but they cannot evaluate whether an individual has the potential to survive and reproduce in nonanalogous climates. Correlative models are likely more appropriate for studies on current distributions, such as the discovery of unknown populations ( 39 ) or factors beyond physiology, such as species interactions, that structure species ranges ( 32 ). However, spatial layers derived from physiology can be incorporated into a correlative framework, and previous work indicates that incorporating mechanism can reduce the severity of extinction risk under climate change ( 40 ).…”
Section: Discussionmentioning
confidence: 99%
“…More precisely, correlative models can predict whether populations will experience nonanalogous climates under climatic change ( 38 ), but they cannot evaluate whether an individual has the potential to survive and reproduce in nonanalogous climates. Correlative models are likely more appropriate for studies on current distributions, such as the discovery of unknown populations ( 39 ) or factors beyond physiology, such as species interactions, that structure species ranges ( 32 ). However, spatial layers derived from physiology can be incorporated into a correlative framework, and previous work indicates that incorporating mechanism can reduce the severity of extinction risk under climate change ( 40 ).…”
Section: Discussionmentioning
confidence: 99%
“…For example, Asplenium scolopendrium, a fern species that can only grow on limestone substrate (Oldham and Brinker 2009), was not found at any MSC locations we searched in 2017. There are contrasting results in the literature concerning whether or not species with distinct habitat requirements are more easily modeled with SDMs than generalists (Elith and Burgman 2002;Hernandez et al 2006;Le Lay et al 2010;Grenouillet et al 2011;McCune 2016;Soultan and Safi 2017;Rhoden et al 2017). If species with distinct habitats are in fact easily modeled, then their lack of discovery in our efficiency maps is not a major point of concern because any specialized species of particular interest can be separately modeled.…”
Section: Discussionmentioning
confidence: 94%
“…During this study, we have carefully designed the swamp deer distribution modeling and used relevant parameters based on the species ecology. Although it is known that species distribution modeling for habitat-specialists yields better predictions (Connor et al, 2017;Rhoden et al, 2017), it is critical to have a focal area-based modeling approach, selection of ecologically meaningful covariates and accurate presence locations (Araújo and Guisan, 2006;Costa et al, 2015;Tye et al, 2017;Williams et al, 2012). We used only confirmed primary data (direct sightings, antlers and genetically identified pellets) in the models to reduce false predictions due to sample biases resulting from inaccurate information (historical records, personal communications etc.)…”
Section: Discussionmentioning
confidence: 99%