Affiliation:
1. Department of Ecology Evolution & Environmental Biology Columbia University New York New York USA
2. Department of Statistics Columbia University New York New York USA
3. Biospheric Sciences Laboratory NASA Goddard Space Flight Center Greenbelt Maryland USA
4. Department of Environmental Sciences Universidad de Puerto Rico San Juan Puerto Rico USA
Abstract
AbstractProjected increases in hurricane intensity under a warming climate will have profound effects on many forest ecosystems. One key challenge is to disentangle the effects of wind damage from the myriad factors that influence forest structure and species distributions over large spatial scales. Here, we employ a novel machine learning framework with high‐resolution aerial photos, and LiDAR collected over 115 km2 of El Yunque National Forest in Puerto Rico to examine the effects of topographic exposure to two hurricanes, Hugo (1989) and Georges (1998), and several landscape‐scale environmental factors on the current forest height and abundance of a dominant, wind‐resistant species, the palm Prestoea acuminata var. montana. Model predictions show that the average density of the palm was 32% greater while the canopy height was 20% shorter in forests exposed to the two storms relative to unexposed areas. Our results demonstrate that hurricanes have lasting effects on forest canopy height and composition, suggesting the expected increase in hurricane severity with a warming climate will alter coastal forests in the North Atlantic.
Funder
Division of Environmental Biology
Microsoft
Subject
Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics
Cited by
1 articles.
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