Dynamic climate models must account for habitat shifts and socio‑ecological drivers to avoid underestimating extinction risk
Original framing: “When species are forced to move: Prediction models underestimate climate-related extinction risk” — Phys.org
Scenario planning that couples climate projections with socio‑economic pathways (e.g., SSPs) can forecast habitat connectivity under varying land‑use regimes. Incorporating adaptive management loops allows models to be updated with real‑time monitoring, reducing the lag between prediction and action. Future‑oriented models must also evaluate ecosystem services and cultural values.
The underestimation of climate‑driven extinction risk stems from a narrow, static modeling paradigm that neglects the dynamic interplay of ecological, cultural, and economic forces.
By integrating Indigenous ecological knowledge, historical migration patterns, and cross‑cultural values into robust, scenario‑based scientific frameworks, we can generate more accurate risk assessments that honor marginalized voices and ethical stewardship. Institutional reforms—such as co‑produced models, transboundary corridors, and adaptive monitoring tied to policy triggers—translate this integrated insight into actionable pathways. Historical precedents of collaborative conservation, from the Yellowstone wolf reintroduction to Indigenous fire management, demonstrate that systemic change is possible when power structures are reshaped to value relational and scientific knowledge equally.