A hybrid correlative‐mechanistic approach for modeling winter distributions of North American bat species. (31st August 2021)

• Record Type: Journal Article
• Authors: McClure, Meredith L.; Haase, Catherine G.; Hranac, Carter Reed; Hayman, David T. S.; Dickson, Brett G.; McGuire, Liam P.; Crowley, Daniel; Fuller, Nathan W.; Lausen, Cori L.; Plowright, Raina K.; Olson, Sarah H.
• Other Names: Saupe Erin handlingEditor.
• Is Part Of: Journal of biogeography. Volume 48:Number 10(2021)
• Page Start: 2429
• Page End: 2444
• Publication Date: 2021-08-31
• Subjects: bat -- bioenergetic model -- hibernation -- hybrid -- North America -- species distribution model -- white‐nose syndrome -- winter; Biogeography -- Periodicals; 578.09
• DOI: 10.1111/jbi.14130
• Languages: English
• ISSNs: 0305-0270

Abstract

Abstract: Aim: The fungal pathogen Pseudogymnoascus destructans and resultant white‐nose syndrome (WNS) continues to advance across North America, infecting new bat hibernacula. Western North America hosts the highest bat diversity in the United States and Canada, yet little is known about hibernacula and hibernation behaviour in this region. An improved understanding of the distribution of suitable hibernacula is critical for land managers to anticipate conservation needs of WNS‐susceptible species in currently uninfected regions. Location: United States, Canada. Taxon: Bats. Methods: We estimated suitability of potential winter hibernaculum sites across five bat species' ranges. We estimated winter survival capacity from a mechanistic survivorship model based on bat bioenergetics and climate conditions. We then used boosted regression trees to relate these estimates, along with key landscape attributes, to bat occurrence data in a hybrid correlative‐mechanistic approach. Results: Winter survival capacity, topography, land cover and access to subterranean features were important predictors of winter hibernaculum selection, but the shape and relative importance of these relationships varied amongst species. This suggests that the occurrence of bat hibernacula can, in part, be predicted from readily mapped above‐ground features, not just below‐ground characteristics for which spatial data are lacking. Furthermore, our mechanistic estimate of winter survivorship was, on average, the third strongest predictor of winter occurrence probability across focal species. Main conclusions: Winter distributions of North American bat species were driven by their physiological capacity to survive winter conditions and duration in a given location, as well as selection for topographic and other landscape features but in species‐specific ways. The influence of winter survivorship on several species' distributions, the underlying influence of climate conditions on winter survivorship and the anticipated influence of WNS on bats' hibernation physiology and survivorship together suggest that North American bat distributions may undergo future shifts as these species are exposed not only to WNS but also to climate change.