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Tracking the rates and mechanisms of canopy damage and recovery following Hurricane Maria using multitemporal lidar data

Veronika Leitold, Douglas C Morton, Sebastian Martinuzzi, Ian Paynter, Maria Uriarte, Michael Keller, António Ferraz, Bruce D Cook, Lawrence A Corp, Grizelle González
doi: https://doi.org/10.1101/2021.03.26.436869
Veronika Leitold
1Department of Geographical Sciences, University of Maryland, College Park, 2181 LeFrak Hall, College Park, MD 20742 USA
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Douglas C Morton
2Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
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  • For correspondence: douglas.morton@nasa.gov
Sebastian Martinuzzi
2Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
3SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706, USA
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Ian Paynter
2Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
4Universities Space Research Association, 7178 Columbia Gateway Dr, Columbia, MD 21046 USA
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Maria Uriarte
5Department of Ecology, Evolution & Environmental Biology, Columbia University, 1190 Amsterdam Ave, New York, NY 10027
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Michael Keller
6USDA-Forest Service International Institute of Tropical Forestry, Jardin Botanico Sur, 1201 Calle Ceiba, San Juan, PR 00926, USA
7Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
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António Ferraz
7Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
8Institute of Environment and Sustainability, University of California, Los Angeles, LaKretz Hall, 619 Charles E Young Dr E #300, Los Angeles, CA 90024 USA
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Bruce D Cook
2Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
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Lawrence A Corp
2Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
9Science Systems and Applications Inc., 10210 Greenbelt Rd #600, Lanham, MD 20706 USA
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Grizelle González
6USDA-Forest Service International Institute of Tropical Forestry, Jardin Botanico Sur, 1201 Calle Ceiba, San Juan, PR 00926, USA
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ABSTRACT

Hurricane Maria (Category 4) 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 to 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% 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 structural changes >|1| m in either period. Canopy layers <10 m accounted for most increases in canopy height and fractional cover between 2018-2020, 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.

MANUSCRIPT HIGHLIGHTS

  1. Hurricane Maria gave forests a haircut by toppling trees and shearing branches.

  2. Regrowth after Maria was patchy, with equal areas of height gain and no change.

  3. 3-D measures of forest recovery after hurricanes can improve ecosystem models.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 28, 2021.
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Tracking the rates and mechanisms of canopy damage and recovery following Hurricane Maria using multitemporal lidar data
Veronika Leitold, Douglas C Morton, Sebastian Martinuzzi, Ian Paynter, Maria Uriarte, Michael Keller, António Ferraz, Bruce D Cook, Lawrence A Corp, Grizelle González
bioRxiv 2021.03.26.436869; doi: https://doi.org/10.1101/2021.03.26.436869
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Tracking the rates and mechanisms of canopy damage and recovery following Hurricane Maria using multitemporal lidar data
Veronika Leitold, Douglas C Morton, Sebastian Martinuzzi, Ian Paynter, Maria Uriarte, Michael Keller, António Ferraz, Bruce D Cook, Lawrence A Corp, Grizelle González
bioRxiv 2021.03.26.436869; doi: https://doi.org/10.1101/2021.03.26.436869

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