Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery

Abstract Wet meadows are a declining and increasingly degraded ecosystem type. They contribute numerous ecosystem services, including nutrient cycling, water storage, and filtration, and provision of wildlife habitat, particularly for wetland‐dependent species such as the Whooping Crane (Grus americ...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Emma M. Brinley Buckley, Andrew J. Caven, Joshua D. Wiese, Mary J. Harner
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	hydrologic regime hydrology image analysis inundation Nebraska Platte River Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/fc3943aa934d43b3b2e3f1fe875a1136
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fc3943aa934d43b3b2e3f1fe875a1136
record_format	dspace
spelling	oai:doaj.org-article:fc3943aa934d43b3b2e3f1fe875a11362021-11-29T07:06:42ZAssessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery2150-892510.1002/ecs2.3829https://doaj.org/article/fc3943aa934d43b3b2e3f1fe875a11362021-11-01T00:00:00Zhttps://doi.org/10.1002/ecs2.3829https://doaj.org/toc/2150-8925Abstract Wet meadows are a declining and increasingly degraded ecosystem type. They contribute numerous ecosystem services, including nutrient cycling, water storage, and filtration, and provision of wildlife habitat, particularly for wetland‐dependent species such as the Whooping Crane (Grus americana). Conservation and restoration of wet meadows rely on understanding their hydrology but characterization of wet meadow hydroregimes is difficult given their hydrologic complexity, high variability, and distinct regional differences. To address this challenge, we used ground‐based time‐lapse imagery to assess inundation dynamics of an archetypal wet meadow over a six‐year period in the Central Platte River Valley, Nebraska, USA. We analyzed over 6500 images from March 2011 to May 2017 in the open‐source java‐based image processing software ImageJ. We also obtained data on groundwater, streamflow, precipitation, and evapotranspiration. We assessed the relationship between wet meadow inundation and hydrologic variables using wavelet coherence to look at fluctuations across a time–frequency spectrum and used random forest to identify seasonally specific variables of importance. We found hydroperiod, the duration surface water ponded within the wet meadow, had a mean of 141 d, on average lasting from 10 December to 1 May, but varied annually. Inundation generally peaked in the early spring, on average 10 March, but demonstrated a bimodal distribution, peaking again in late spring during wetter years. While inundation responded rapidly to precipitation events, it was highly related to streamflow, while an elevated groundwater table was necessary for sustained inundation. Overall, our study provided a comprehensive hydrological characterization of a reference wet meadow and demonstrated the utility of time‐lapse cameras for high‐resolution monitoring and assessment of highly variable wetland systems. Considering the uncertainties surrounding land‐ and water‐use changes, climate change, and the increasing demand for freshwater resources by growing human communities, understanding functional wet meadow hydroregimes and interrelated drivers is essential to inform wet meadow restoration, conservation, and management efforts.Emma M. Brinley BuckleyAndrew J. CavenJoshua D. WieseMary J. HarnerWileyarticlehydrologic regimehydrologyimage analysisinundationNebraskaPlatte RiverEcologyQH540-549.5ENEcosphere, Vol 12, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydrologic regime hydrology image analysis inundation Nebraska Platte River Ecology QH540-549.5
spellingShingle	hydrologic regime hydrology image analysis inundation Nebraska Platte River Ecology QH540-549.5 Emma M. Brinley Buckley Andrew J. Caven Joshua D. Wiese Mary J. Harner Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
description	Abstract Wet meadows are a declining and increasingly degraded ecosystem type. They contribute numerous ecosystem services, including nutrient cycling, water storage, and filtration, and provision of wildlife habitat, particularly for wetland‐dependent species such as the Whooping Crane (Grus americana). Conservation and restoration of wet meadows rely on understanding their hydrology but characterization of wet meadow hydroregimes is difficult given their hydrologic complexity, high variability, and distinct regional differences. To address this challenge, we used ground‐based time‐lapse imagery to assess inundation dynamics of an archetypal wet meadow over a six‐year period in the Central Platte River Valley, Nebraska, USA. We analyzed over 6500 images from March 2011 to May 2017 in the open‐source java‐based image processing software ImageJ. We also obtained data on groundwater, streamflow, precipitation, and evapotranspiration. We assessed the relationship between wet meadow inundation and hydrologic variables using wavelet coherence to look at fluctuations across a time–frequency spectrum and used random forest to identify seasonally specific variables of importance. We found hydroperiod, the duration surface water ponded within the wet meadow, had a mean of 141 d, on average lasting from 10 December to 1 May, but varied annually. Inundation generally peaked in the early spring, on average 10 March, but demonstrated a bimodal distribution, peaking again in late spring during wetter years. While inundation responded rapidly to precipitation events, it was highly related to streamflow, while an elevated groundwater table was necessary for sustained inundation. Overall, our study provided a comprehensive hydrological characterization of a reference wet meadow and demonstrated the utility of time‐lapse cameras for high‐resolution monitoring and assessment of highly variable wetland systems. Considering the uncertainties surrounding land‐ and water‐use changes, climate change, and the increasing demand for freshwater resources by growing human communities, understanding functional wet meadow hydroregimes and interrelated drivers is essential to inform wet meadow restoration, conservation, and management efforts.
format	article
author	Emma M. Brinley Buckley Andrew J. Caven Joshua D. Wiese Mary J. Harner
author_facet	Emma M. Brinley Buckley Andrew J. Caven Joshua D. Wiese Mary J. Harner
author_sort	Emma M. Brinley Buckley
title	Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
title_short	Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
title_full	Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
title_fullStr	Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
title_full_unstemmed	Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery
title_sort	assessing the hydroregime of an archetypal riverine wet meadow in the central great plains using time‐lapse imagery
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/fc3943aa934d43b3b2e3f1fe875a1136
work_keys_str_mv	AT emmambrinleybuckley assessingthehydroregimeofanarchetypalriverinewetmeadowinthecentralgreatplainsusingtimelapseimagery AT andrewjcaven assessingthehydroregimeofanarchetypalriverinewetmeadowinthecentralgreatplainsusingtimelapseimagery AT joshuadwiese assessingthehydroregimeofanarchetypalriverinewetmeadowinthecentralgreatplainsusingtimelapseimagery AT maryjharner assessingthehydroregimeofanarchetypalriverinewetmeadowinthecentralgreatplainsusingtimelapseimagery
_version_	1718407564025135104

Assessing the hydroregime of an archetypal riverine wet meadow in the central Great Plains using time‐lapse imagery

Ejemplares similares