Archive/Climate-Driven Range Dynamics of the High-Altitude Frog Nanorana parkeri in Xizang, China: A Bias-Corrected, Multi-Algorithm Species Distribution Modelling Assessment
Climate-Driven Range Dynamics of the High-Altitude Frog Nanorana parkeri in Xizang, China: A Bias-Corrected, Multi-Algorithm Species Distribution Modelling Assessment
Shi-Yang Weng, Cong Wei, Jian-Chuan Li
13. Juli 2026
en

Abstract

The climate sensitivity of high-altitude amphibians on the Qinghai–Tibet Plateau remains poorly quantified. We assessed habitat suitability for the plateau-endemic frog Nanorana parkeri across Xizang, China. Using 52 thinned occurrence records and nine predictors (spanning climate, terrain, and hydrological accessibility), we built a bias-corrected random forest (RF) model with VIF-screened variables, constrained complexity, and out-of-fold (OOF) evaluation, including spatial-block cross-validation. Gradient boosting (GBM) and a regularized GLM were fitted on identical data, and the RF was projected onto a two-GCM CMIP6 ensemble under four Shared Socioeconomic Pathways through 2100. The RF achieved OOF and spatial-block AUCs of 0.750 and 0.672 (GLM 0.734/0.691; GBM 0.692/0.584); all three converged on a current suitable area of 8.13 × 105 km2. Under future climate, net habitat expansion reached 117–126% of current area by 2081–2100. Range turnover was asymmetric: ~96% remained stable, 3–5% was lost, and 17–29% was gained upslope. Inter-GCM uncertainty was low (SD 0.016–0.022), but MESS extrapolation was substantial (55–67% of Xizang). Net upslope expansion represents a robust climatic opportunity, but realised gains depend on persistent breeding waters. Conservation actions should prioritise protecting stable core breeding waters in Southern and Southeastern Xizang and monitoring upslope colonisation fronts.

IPC Classification

G06

Keywords

climate-drivenrangedynamicshigh-altitudefrognanoranaparkerixizangchinabias-correctedmulti-algorithmspeciesdistributionmodellingassessmentanimalsclimatesensitivityamphibiansqinghaitibetplateauremainspoorly
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