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Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > Plains and Prairie Potholes Landscape Conservation Cooperative > Projects > Wetland hydroperiod and climate change; implications for biodiversity and water availability ( Show direct descendants )

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Wetland hydroperiod, the length of time water is available in wetlands, is sensitive to changes in precipitation, temperature and timing due to climate variation. Truncated hydroperiod has major implications for wetland-dependent species (e.g., waterfowl, amphibians) and human water allocation (PPP LCC Need 1). To characterize wetland hydroperiod in the Plains and Prairie Pothole Region, we first identify location and hydroperiod of wetlands using field-based and remotely sensed training data (RapidEye, Landsat). We define hydroperiod as wetland ephemerality, where ephemerality represents the persistence of a wetland across the growing season. We then link hydroperiod to climatic variation by relating climate time-series...
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Wetland hydroperiod, the length of time water is available in wetlands, is sensitive to changes in precipitation, temperature and timing due to climate variation. Truncated hydroperiod has major implications for wetland-dependent species (e.g., waterfowl, amphibians) and human water allocation (PPP LCC Need 1). To characterize wetland hydroperiod in the Plains and Prairie Pothole Region, we first identify location and hydroperiod of wetlands using field-based and remotely sensed training data (RapidEye, Landsat). We define hydroperiod as wetland ephemerality, where ephemerality represents the persistence of a wetland across the growing season. We then link hydroperiod to climatic variation by relating climate time-series...


    map background search result map search result map Wetland hydroperiod and climate change: Completion Report – Phase I Using a multiscale, probabilistic approach to identify spatial-temporal wetland gradients Wetland hydroperiod and climate change: Completion Report – Phase I Using a multiscale, probabilistic approach to identify spatial-temporal wetland gradients