The multidimensionality of climate vulnerability

[PUBLICATION] Multiple axes of ecological vulnerability to climate change

Three-dimensional climate vulnerability model

Overview

This research, published in Global Change Biology (2020), presents a multidimensional approach to assessing climate change vulnerability across major vegetation types in the western United States. The study emerged from a collaboration with NatureServe, where I worked prior to graduate studies, and represents the first chapter of my dissertation.

Research Objectives

The study had several interconnected goals:

  1. Develop high-resolution climate vulnerability predictions for 100+ major vegetation types across the western US
  2. Compare vulnerability estimates derived from different methodological approaches: niche models, time series models, and spatial climate change models
  3. Create a conceptual framework for integrated use of these metrics to guide climate adaptation strategies
  4. Quantify the relative importance of specific climate variables in predicting vegetation patterns across different geographic regions

Key Findings

Our analysis revealed substantial differences in vulnerability estimates based on methodological approach, with important implications for management decisions. The research provides a framework for selecting appropriate adaptation strategies based on the multidimensional nature of climate vulnerability.

Impact and Recognition

This work was funded by the Bureau of Land Management to inform their climate adaptation planning. The paper was accompanied by a commentary piece by Alejandro Ordonez, highlighting its contributions to the field.

Conceptual framework for adaptation strategies

Citation: Kling, M.M., Auer, S.L., Comer, P.J., Ackerly, D.D., & Hamilton, H. (2020). Multiple axes of ecological vulnerability to climate change. Global Change Biology, 26(6), 2798-2813. https://doi.org/10.1111/gcb.15008

Resources: PDF available here