Seasonality of inundation in geographically isolated wetlands across the United States.

GIW non-floodplain wetlands remote sensing of wetlands wetland area wetland dynamics

Journal

Environmental research letters : ERL [Web site]
ISSN: 1748-9326
Titre abrégé: Environ Res Lett
Pays: England
ID NLM: 101295599

Informations de publication

Date de publication:
19 Apr 2022
Historique:
entrez: 6 6 2022
pubmed: 7 6 2022
medline: 7 6 2022
Statut: ppublish

Résumé

Inundation area is a major control on the ecosystem services provisioned by geographically isolated wetlands. Despite its importance, there has not been any comprehensive study to map out the seasonal inundation characteristics of geographically isolated wetlands over the continental United States (CONUS). This study fills the aforementioned gap by evaluating the seasonality or the long-term intra-annual variations of wetland inundation in ten wetlandscapes across the CONUS. We also assess the consistency of these intra-annual variations. Finally, we evaluate the extent to which the seasonality can be explained based on widely available hydrologic fluxes. Our findings highlight significant intra-annual variations of inundation within most wetlandscapes, with a standard deviation of the long-term averaged monthly inundation area ranging from 15% to 151% of its mean across the wetlandscapes. Stark differences in inundation seasonality are observed between snow-affected vs. rain-fed wetlandscapes. The former usually shows the maximum monthly inundation in April following spring snowmelt (SM), while the latter experiences the maximum in February. Although the magnitude of inundation fraction has changed over time in several wetlandscapes, the seasonality of these wetlands shows remarkable constancy. Overall, commonly available regional hydrologic fluxes (e.g. rainfall, SM, and evapotranspiration) are found to be able to explain the inundation seasonality at wetlandscape scale with determination coefficients greater than 0.57 in 7 out of 10 wetlandscapes. Our methodology and presented results may be used to map inundation seasonality and consequently account for its impact on wetland functions.

Identifiants

pubmed: 35662858
doi: 10.1088/1748-9326/ac6149
pmc: PMC9161429
mid: NIHMS1805452
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-54005

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Déclaration de conflit d'intérêts

Conflict of interest Authors declare no competing interests.

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Auteurs

Junehyeong Park (J)

Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, AL, United States of America.

Mukesh Kumar (M)

Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, AL, United States of America.

Charles R Lane (CR)

US Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States of America.

Nandita B Basu (NB)

Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, Canada.

Classifications MeSH