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Tracking the Rates and Mechanisms of Canopy Damage and Recovery Following Hurricane Maria Using Multitemporal Lidar DataHurricane Maria, a Category 4 storm, snapped and uprooted canopy trees, removed large branches, and defoliated vegetation across Puerto Rico. The magnitude of forest damages and the rates and mechanisms of forest recovery following Maria provide important benchmarks for understanding the ecology of extreme events. We used airborne Lidar data acquired before (2017) and after Maria (2018, 2020) to quantify landscape-scale changes in forest structure along a 439-ha elevational gradient (100–800 m) in the Luquillo Experimental Forest. Damages from Maria were widespread, with 73% of the study area losing ≥ 1 m in canopy height (mean = −7.1 m). Taller forests at lower elevations suffered more damage than shorter forests above 600 m. Yet only 13.5% of the study area had canopy heights ≤ 2 m in 2018, a typical threshold for forest gaps, highlighting the importance of damaged trees and advanced regeneration on post-storm forest structure. Heterogeneous patterns of regrowth and recruitment yielded shorter and more open forests by 2020. Nearly 45% of forests experienced initial height loss > 1 m (2017–2018) followed by rapid height gain > 1 m (2018–2020), whereas 21.6% of forests with initial height losses showed little or no height gain, and 17.8% of forests exhibited no height changes larger than ± 1 m in either period. Canopy layers < 10 m tall accounted for most increases in canopy height and fractional cover between 2018 and 2020, with gains split evenly between height growth and lateral crown expansion by surviving individuals. These findings benchmark rates of gap formation, crown expansion, and canopy closure following hurricane damage and highlight the diversity of ecosystem impacts from heterogeneous spatial patterns and vertical stratification of forest regrowth following a major disturbance event.
Document ID
20220000308
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Veronika Leitold
(University of Maryland, College Park College Park, Maryland, United States)
Douglas C. Morton
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Sebastián Martinuzzi
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Ian Paynter
(Universities Space Research Association Columbia, Maryland, United States)
María Uriarte
(Columbia University New York, New York, United States)
Michael Keller
(US Forest Service Washington D.C., District of Columbia, United States)
António Ferraz
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Bruce D. Cook
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Lawrence A. Corp
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Grizelle González
(US Forest Service Washington D.C., District of Columbia, United States)
Date Acquired
January 20, 2022
Publication Date
September 9, 2021
Publication Information
Publication: Ecosystems
Publisher: Springer
Volume: 25
Issue: 4
Issue Publication Date: June 1, 2022
ISSN: 1432-9840
e-ISSN: 1435-0629
Subject Category
Earth Resources And Remote Sensing
Meteorology And Climatology
Funding Number(s)
CONTRACT_GRANT: 89243018SSC000013
CONTRACT_GRANT: 80NSSC18K1448
CONTRACT_GRANT: 80NSSC20K1083
CONTRACT_GRANT: 80GSFC20C0044
CONTRACT_GRANT: J-090009
INTERAGENCY: 89243018SSC000012
INTERAGENCY: 2018–67,030-28,124
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
forest structure
cyclone
Lidar
succession
ecosystem modeling
canopy traits
plasticity
tropical forest
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