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As the impacts of climate change amplify, understanding the consequences for wetlands will be critical for their sustainable management and conservation, particularly in arid regions such as the Columbia Plateau. The depressional wetlands in this region (wetlands located in topographic depressions where water can accumulate) are an important source of surface water during the summer months. However, their health depends directly on precipitation and evaporation, making them susceptible to changes in temperature and precipitation. Yet few tools for monitoring water movement patterns (hydrology) in and out of these landscapes currently exist, hindering efforts to model how they are changing. This project provided...
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Mountain meadows in the western United States provide key habitats for many plant and wildlife species, many of which rely exclusively on these areas. Mountain meadows are also treasured by the public and provide beautiful areas to view wildflowers and wildlife on public lands such as national parks. However, mountain ecosystems are expected to be disproportionately affected by climate change. There is a limited understanding of how mountain meadows are changing, how temperature and precipitation may be driving those changes, and how this will impact sensitive species that inhabit these landscapes. Natural resource managers have an immediate need to understand these relationships to conserve or restore habitats...
Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716300682): Wetlands are valuable ecosystems for maintaining biodiversity, but are vulnerable to climate change and land conversion. Despite their importance, wetland hydrology is poorly understood as few tools exist to monitor their hydrologic regime at a landscape scale. This is especially true when monitoring hydrologic change at scales below 30 m, the resolution of one Landsat pixel. To address this, we used spectral mixture analysis (SMA) of a time series of Landsat satellite imagery to reconstruct surface-water hydrographs for 750 wetlands in Douglas County, Washington State, USA, from 1984 to 2011. SMA estimates the fractional abundance...
Abstract (from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0136385): Wetlands are globally important ecosystems that provide critical services for natural communities and human society. Montane wetland ecosystems are expected to be among the most sensitive to changing climate, as their persistence depends on factors directly influenced by climate (e.g. precipitation, snowpack, evaporation). Despite their importance and climate sensitivity, wetlands tend to be understudied due to a lack of tools and data relative to what is available for other ecosystem types. Here, we develop and demonstrate a new method for projecting climate-induced hydrologic changes in montane wetlands. Using observed wetland...
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Wetlands provide critical services to natural and human communities alike, forming important wildlife habitat, storing and filtering water, sequestering carbon, and offering opportunities for recreation. Unfortunately, not only are these valuable ecosystems understudied compared to others, but they are also among the most sensitive to climate change. Climate change threatens wetlands by altering temperature and precipitation, which cause changes in water level and water temperature. Due to this threat, the international community and domestic agencies alike have highlighted the need to better understand wetlands in the face of climate change, from the Intergovernmental Panel on Climate Change, to the Ramsar Convention,...
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This dataset provides point locations of wetlands in the channeled scablands of Washington State. It was created through object based image analysis of high resolution imagery from 2006 and 2009. Each wetland location has an associated surface water hydrograph constructed from spectral mixture analysis of Landsat satellite imagery (1983 – 2011). Hydrologic data is stored in an associated csv file and can be linked to the data through a unique identifier (Wetland_ID). Additionally, individual surface water hydrographs for wetlands, in jpeg format, can be linked to wetland location through the unique identifier.
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This dataset delineates wetland ponds and emergent wetland vegetation in Mt. Rainier National Park. It was created through object based image analysis of high resolution imagery from 2006 and 2009 and LiDAR data acquired in the fall of 2008. Riparian wetlands are not included in this dataset. Accuracy is only verified for wetland ponds in the subalpine region. Forested wetlands, riparian wetlands, and emergent vegetation were only visually assessed. This data maps all wetland habitat, but was primarily used to locate and delineate amphibian habitat in Mt. Rainier National Park.


    map background search result map search result map Modeling the Effects of Climate Change on Wetlands in the Pacific Northwest Wetland surface water dynamics in the channeled scablands of Washington State reconstructed from a time series of Landsat satellite imagery, 1983–2011 Wetland Inventory for Mt. Rainier National Park created through object-based image analysis of lidar and high resolution imagery, 2014 Can We Conserve Wetlands Under a Changing Climate? Mapping Wetland Hydrology in the Columbia Plateau From Water to Wildlife: Linking Water Timing and Availability to Meadows and Wildlife in a Changing Climate Wetland Inventory for Mt. Rainier National Park created through object-based image analysis of lidar and high resolution imagery, 2014 Modeling the Effects of Climate Change on Wetlands in the Pacific Northwest Can We Conserve Wetlands Under a Changing Climate? Mapping Wetland Hydrology in the Columbia Plateau Wetland surface water dynamics in the channeled scablands of Washington State reconstructed from a time series of Landsat satellite imagery, 1983–2011 From Water to Wildlife: Linking Water Timing and Availability to Meadows and Wildlife in a Changing Climate