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...
Published in: | Scientific Reports |
---|---|
Main Authors: | , , , , , , |
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 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1772817316017340416 |