Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic...

Area of Science:

• Ecology
• Conservation Biology
• Climate Change Science

Background:

• Species responses to climate change are influenced by habitat availability, population dynamics, and species interactions.
• Current assessment methods often fail to integrate habitat change and population dynamics, limiting comprehensive understanding.
• South African fynbos, a global biodiversity hotspot, faces significant climate change pressures.

Purpose of the Study:

• To explore factors influencing plant species viability under stable and changing climate scenarios.
• To develop an integrated approach combining habitat suitability and population dynamics.
• To provide a more complete appraisal of future biotic responses to climate change.

Main Methods:

• Linked time series of habitat suitability models with spatially explicit stochastic population models.
• Applied the integrated approach to plant species in South African fynbos.
• Analyzed interactions between life history, disturbance regime, and distribution patterns.

Main Results:

• Complex interactions between life history, disturbance, and distribution patterns mediate species extinction risks.
• The integrated mechanistic approach provides a more complete assessment than static bioclimatic models.
• Climate change significantly influences species viability through interconnected demographic and landscape dynamics.

Conclusions:

• Novel mechanistic approach enhances the appraisal of future biotic responses to climate change.
• Understanding complex interactions is crucial for mitigating biodiversity loss.
• Findings support the development of more effective conservation strategies for climate change adaptation.