Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds

Projected increases in cyclonic storm intensity under a warming climate will have profound effects on forests, potentially changing these ecosystems from carbon sinks to sources. Forecasting storm impacts on these ecosystems requires consideration of risk factors associated with storm meteorology, l...

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Published in:Scientific Reports
Main Authors: Hall, Jazlynn, Muscarella, Robert, Quebbeman, Andrew, Arellano, Gabriel, Thompson, Jill, Zimmerman, Jess K., Uriarte, María
Language:unknown
Published: 2023
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1629982
https://www.osti.gov/biblio/1629982
https://doi.org/10.1038/s41598-020-61164-2
id ftosti:oai:osti.gov:1629982
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spelling ftosti:oai:osti.gov:1629982 2023-07-30T04:05:25+02:00 Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds Hall, Jazlynn Muscarella, Robert Quebbeman, Andrew Arellano, Gabriel Thompson, Jill Zimmerman, Jess K. Uriarte, María 2023-07-03 application/pdf http://www.osti.gov/servlets/purl/1629982 https://www.osti.gov/biblio/1629982 https://doi.org/10.1038/s41598-020-61164-2 unknown http://www.osti.gov/servlets/purl/1629982 https://www.osti.gov/biblio/1629982 https://doi.org/10.1038/s41598-020-61164-2 doi:10.1038/s41598-020-61164-2 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.1038/s41598-020-61164-2 2023-07-11T09:43:01Z Projected increases in cyclonic storm intensity under a warming climate will have profound effects on forests, potentially changing these ecosystems from carbon sinks to sources. Forecasting storm impacts on these ecosystems requires consideration of risk factors associated with storm meteorology, landscape structure, and forest attributes. Here we evaluate risk factors associated with damage severity caused by Hurricanes María and Irma across Puerto Rican forests. Using field and remote sensing data, total forest aboveground biomass (AGB) lost to the storms was estimated at 10.44 (±2.33) Tg, ca. 23% of island-wide pre-hurricane forest AGB. Storm-related rainfall was a stronger predictor of forest damage than maximum wind speeds. Soil water storage capacity was also an important risk factor, corroborating the influence of rainfall on forest damage. Expected increases of 20% in hurricane-associated rainfall in the North Atlantic highlight the need to consider how such shifts, together with high speed winds, will affect terrestrial ecosystems. Other/Unknown Material North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Scientific Reports 10 1
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Hall, Jazlynn
Muscarella, Robert
Quebbeman, Andrew
Arellano, Gabriel
Thompson, Jill
Zimmerman, Jess K.
Uriarte, María
Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
topic_facet 54 ENVIRONMENTAL SCIENCES
description Projected increases in cyclonic storm intensity under a warming climate will have profound effects on forests, potentially changing these ecosystems from carbon sinks to sources. Forecasting storm impacts on these ecosystems requires consideration of risk factors associated with storm meteorology, landscape structure, and forest attributes. Here we evaluate risk factors associated with damage severity caused by Hurricanes María and Irma across Puerto Rican forests. Using field and remote sensing data, total forest aboveground biomass (AGB) lost to the storms was estimated at 10.44 (±2.33) Tg, ca. 23% of island-wide pre-hurricane forest AGB. Storm-related rainfall was a stronger predictor of forest damage than maximum wind speeds. Soil water storage capacity was also an important risk factor, corroborating the influence of rainfall on forest damage. Expected increases of 20% in hurricane-associated rainfall in the North Atlantic highlight the need to consider how such shifts, together with high speed winds, will affect terrestrial ecosystems.
author Hall, Jazlynn
Muscarella, Robert
Quebbeman, Andrew
Arellano, Gabriel
Thompson, Jill
Zimmerman, Jess K.
Uriarte, María
author_facet Hall, Jazlynn
Muscarella, Robert
Quebbeman, Andrew
Arellano, Gabriel
Thompson, Jill
Zimmerman, Jess K.
Uriarte, María
author_sort Hall, Jazlynn
title Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
title_short Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
title_full Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
title_fullStr Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
title_full_unstemmed Hurricane-Induced Rainfall is a Stronger Predictor of Tropical Forest Damage in Puerto Rico Than Maximum Wind Speeds
title_sort hurricane-induced rainfall is a stronger predictor of tropical forest damage in puerto rico than maximum wind speeds
publishDate 2023
url http://www.osti.gov/servlets/purl/1629982
https://www.osti.gov/biblio/1629982
https://doi.org/10.1038/s41598-020-61164-2
genre North Atlantic
genre_facet North Atlantic
op_relation http://www.osti.gov/servlets/purl/1629982
https://www.osti.gov/biblio/1629982
https://doi.org/10.1038/s41598-020-61164-2
doi:10.1038/s41598-020-61164-2
op_doi https://doi.org/10.1038/s41598-020-61164-2
container_title Scientific Reports
container_volume 10
container_issue 1
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