Habitat suitability models for the imperiled wood turtle (Glyptemys insculpta) raise concerns for the species’ persistence under future climate change

Spatial Suitability Modeling of Zoonosis: Implicated Risk Areas of B. anthracis and Trends under climate change Scenarios in Ethiopia

“…Thus, the ENMevaluate result of ΔAICc (delta akaikae information criterion adjusted for small sample size) which is equal to 0 was chosen. ΔAICc has been used by several authors to select the best possible features of environmental layers and to choose the corresponding Regularization multiplier prior to running MaxEnt modeling [19–20] [24].…”

Space use and resource selection of Wood Turtles (Glyptemys insculpta) in the northeastern part of its range

“…It is possible that wood turtles would benefit from certain forest management practices, such as patch cuts. Further research that analyzes how forestry might benefit wood turtles needs to be conducted, especially since climate change may expand the wood turtle range north into expanses of forest that have current and historic timber industries (Mothes et al 2020). The risk of mortality and impact on habitat quality from timber harvesting also needs further research.…”

“…Jones et al (2015) and Jones et al (2018) emphasize the need to understand the ecology of populations at local scales including those near the northern extent of wood turtles' geographic range. As climate shifts, the wood turtle range may expand north, and higher latitude rivers may become suitable for nesting making these populations increasingly important for conservation (Mothes et al 2020). The sections of river that were surveyed in these regions have characteristics of high-quality wood turtle habitat with no agricultural land nearby.…”

Driven to the edge: Species distribution modeling of a Clawed Salamander (Hynobiidae: Onychodactylus koreanus) predicts range shifts and drastic decrease of suitable habitats in response to climate change

“…With rapidly changing climate, faunal distributions are expected to shift across latitudinal and elevational gradients (Chen et al, 2011;Enriquez-Urzelai et al, 2020;Parmesan & Yohe, 2003;Smeraldo et al, 2021;Wilson et al, 2007). Although such range shifts can lead to range expansions and population increase in some species (Borzée, Andersen, et al, 2019;Hu et al, 2020), many species are likely to experience range contractions and displacement from their suitable habitats, ultimately leading to population decline and extinction (Ashrafzadeh et al, 2019;Borzée, Andersen, et al, 2019;Hu et al, 2020;Mothes et al, 2020;Zhang, Mammola, et al, 2020).…”

“…Generated by correlating species' distribution and a set of environmental predictors, SDMs provide a representation of continuous habitat suitability across the landscape Guisan & Zimmermann, 2000). The SDMs can then be projected onto different space to locate suitable habitats outside the species' known distributions (Pyron et al, 2008;Raffini et al, 2020;Srivastava et al, 2021), as well as to different time periods to predict range shifts under climate change (Borzée, Andersen, et al, 2019;Hu et al, 2020;Mothes et al, 2020). The development of user-friendly interfaces and statistical packages such as the software MaxEnt have greatly enhanced the ability to implement such projections (Phillips et al, 2017), opening the doors for this method to be applied to other species with presumed vulnerability to climate change.…”