SPECIES DISTRIBUTION PROJECTIONS UNDER INTERNAL CLIMATE VARIABILITY REVEAL MULTIPLE PLAUSIBLE FUTURES REQUIRING FLEXIBLE CLIMATE-READY DECISIONS
Iván Felipe Benavides Martínez, R. MawalagedaraiD, Kartik AggarwaliD, Arnob RayiD, Andrew AllyniD, Katherine E. MillsiD, Auroop Ratan GangulyiD
Abstract
Traditional biodiversity projections using species distribution models (SDMs) assume that a given emissions pathway implies a largely predictable ecological response, yet how internal climate variability (ICV) translates into SDM outcomes remains largely uncharacterized. By projecting distributions for 34 marine and terrestrial species across 100 initial-condition members from CESM2-LENS2, we show that ICV alone produces qualitatively different outcomes, including reversals in projected range shifts. We classify these outcomes into four decision-relevant cases of increasing ICV susceptibility and find a pronounced marine-terrestrial divide that persists across time horizons. Responsiveness to ICV is not consistently explained by traits or local climate variability amplitude, implying it is atleast partly ecological in nature. Robust biodiversity planning therefore requires decisions stress-tested across distributions of plausible climate realizations rather than single best-estimate maps.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The impacts of climate variability on the niche concept and distributions of species
Emilio Berti, Ángel Luis Robles Fernández, … Daniel C. Reuman·bioRxiv·Oct 30, 2024
- Extreme weather risk shrinks range size estimates and alters biodiversity predictions
Jeremy M. Cohen, Diego Ellis‐Soto, … Walter Jetz·bioRxiv·Oct 13, 2025
- Assessing the reliability of species distribution projections in climate change research
L. Santini, A. Benitez-Lopez, … M. A. J. Huijbregts·bioRxiv·Jun 10, 2020
- Incorporating climatic extremes using the GEV distribution improves SDM range edge performance
Ward Fonteyn, Josep Maria Serra-Diaz, … Koenraad Van Meerbeek·Journal of BiogeographyPeer-reviewed·Dec 16, 2024
- Changing variability is an overlooked aspect of protected area planning
R. Marcus, M. J. Noonan·bioRxiv·Oct 26, 2023
- Synthesising the multiple impacts of climatic variability on community responses to climate change
C. Terry, J. L. Dinner O'Sullivan, A. G. Rossberg·bioRxiv·Apr 26, 2021