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Toni Lyn Morelli

Meadows delineated in the Sierra Nevada wth refugial status and connectivity rankings–WellConnected (WC), ReallyWellConnected (RC), Stable. Satisfies the delivery of “Sierra Nevada Connectivity Maps” and “Sierra Nevada Meadows Map”. Maps of the Sierra Nevada Meadows designated by their connectivity classification and whether they are expected to have a climate different than historic (1910-1939). We generated maps for modern climate (1970-1999) and four future climate scenarios, broken down into 30 year intervals, in which we assumed connectivity would not change because resistance and conductance surfaces were static. Data for the map are polygon shapefiles of meadows, processed first by buffer and dissolve in...
Website: “Climate Change Refugia” website features a dynamic, interactive refugia map and all deliverables
Understanding recent biogeographic responses to climate change is fundamental for improving our predictions of likely future responses and guiding conservation planning at both local and global scales. Studies of observed biogeographic responses to 20th century climate change have principally examined effects related to ubiquitous increases in temperature – collectively termed a warming fingerprint. Although the importance of changes in other aspects of climate – particularly precipitation and water availability – is widely acknowledged from a theoretical standpoint and supported by paleontological evidence, we lack a practical understanding of how these changes interact with temperature to drive biogeographic responses....
Abstract (from ZSL): The use of remote cameras is widespread in wildlife ecology, yet few examples exist of their utility for collecting environmental data. We used a novel camera trap method to evaluate the accuracy of gridded snow data in a mountainous region of the northeastern US. We were specifically interested in assessing (1) how snow depth observations from remote cameras compare with gridded climate data, (2) the sources of error associated with the gridded data and (3) the influence of spatial sampling on bias. We compared daily observations recorded by remote cameras with Snow Data Assimilation System (SNODAS ) gridded predictions using data from three winters (2014–2016). Snow depth observations were...
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