Publication Date:
2019
Description:
Abstract
Extreme events significantly impact ecosystems and are predicted to increase in frequency and/or magnitude with climate change. Generalized extreme value (GEV) distributions describe most ecologically‐relevant extreme events, including hurricanes, wildfires, exotic species outbreaks, and disease spread. In climate science, the GEV is widely used as an accurate and flexible tool over large spatial scales (〉〉 105 km2) to study how changes in climate shift extreme events. However, ecologists rarely use the GEV to study how climate change affects populations. Here we show how to estimate a GEV for hurricanes at an ecologically‐relevant (〈 103 km2) spatial scale, and use the results in a stochastic, empirically‐based matrix population model. As a case study, we use an understory shrub in southeast Florida with hurricane‐driven dynamics and measure the effects of change using the stochastic population growth rate. We use sensitivities to analyze how population growth rate is affected by changes in hurricane frequency and intensity, canopy damage levels, and canopy recovery rates. Our results emphasize the importance of accurately estimating location‐specific storm frequency. In a rapidly changing world, our methods show how to combine realistic extreme event and population models to assess ecological impacts and to prioritize conservation actions for at‐risk populations.
This article is protected by copyright. All rights reserved.
Print ISSN:
0012-9658
Electronic ISSN:
1939-9170
Topics:
Biology
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