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This website provides an application for exploring modeling results from a U.S. Geological Survey (USGS) project titled Mapping Climate Change Resistant Vernal Pools in the Northeastern U.S. The purpose of this project was to improve understanding of the factors that control inundation patterns in vernal pools of the northeastern United States, so as to identify pools that might function as hydrologic refugia under climate change.
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The Gulf of Maine has recently experienced its warmest 5-year period (2015–2020) in the instrumental record. This warming was associated with a decline in the signature subarctic zooplankton species, Calanus finmarchicus. The temperature changes have also led to impacts on commercial species such as Atlantic cod (Gadus morhua) and American lobster (Homarus americanus) and protected species including Atlantic puffins (Fratercula arctica) and northern right whales (Eubalaena glacialis). The recent period also saw a decline in Atlantic herring (Clupea harengus) recruitment and an increase in novel harmful algal species, although these have not been attributed to the recent warming. Here, we use an ensemble of numerical...
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Abstract: A significant number of historically existing wetlands that naturally stored rainwater and attenuated flood peaks have now been drained and employed as new farming areas. Beyond the water quality and flow problem, this has resulted in loss of natural habitats of diverse ecological species. Restoring wetlands have hence been proposed as a potential conservation strategy to help attenuate many of these problems. In this study a spatial, multi-objective optimization study of new potential wetlands was carried out to achieve biodiversity improvements in addition to flood reduction benefits and water quality improvements. The Soil and Water Assessment Tool (SWAT) was used to simulate flow and water quality,...
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This resource is a series of reports describing the observed and projected changes in climate for states in the Northeast United States. States covered in this report include: Connecticut, Deleware, Massachusetts, Maryland-District of Columbia, Maine, New Hampshire, Jew Jersey, New York, Pennsylvania, Rhode Island, Virginia, Vermont, and West Virginia. This information can be incorporated into state wildlife action plans (SWAPs).
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Abstract (from ESA): Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives. Traditionally such approaches have been undertaken separately with different sources of data. Spatial capture–recapture (SCR) provides a hierarchical framework for jointly estimating density and multi‐scale resource selection, and data integration techniques provide opportunities for improving inferences from SCR models. Despite the added benefits, there have been few applications of SCR‐RSF integration, potentially due to complexities of specifying and fitting such models. Here, we extend a previous integrated SCR‐RSF model...
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