Filters: Tags: wetlands (X) > Extensions: Budget (X) > Types: OGC WFS Layer (X) > partyWithName: Arctic Landscape Conservation Cooperative (X)
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Arctic wetlands, where millions of local and migratory birds nest, are composed of a mosaic of ice wedge polygons, non-patterned tundra, and large vegetated drained thaw lake basins. Regional climate projections suggest that evapotranspiration, rainfall, and snowfall will increase, making it difficult to predict how surface water distribution might change and how habitats for the invertebrate resources used by waterbirds will be impacted. This study will focus on evaluating how climate change will affect the invertebrate community, and whether the change in climate (through changes in hydrology and surface energy balance) could induce a trophic mismatch that might alter the growth and survival of shorebird young....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
BIRDS,
BIRDS,
Conservation Design,
Conservation NGOs,
This project provides a better understanding how linkages among surface-water availability, connectivity, and temperature mediate habitat and trophic dynamics of the Fish Creek Watershed (FCW). These interrelated processes form a shifting mosaic of freshwater habitats across the landscape that can be classified, mapped, understood, and modeled in response to past and future climate and land-use change in a spatial and temporal context. Developing scenarios of freshwater habitat change in this context provides managers and scientists with a flexible template to evaluate a range of potential responses to climate and land-use change. Applying this approach in the FCW is made feasible because of the availability of...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Datasets/Database,
ECOSYSTEM FUNCTIONS,
ECOSYSTEM FUNCTIONS,
Federal resource managers,
The Integrated Ecosystem Model for Alaska project (IEM) uses down-scaled climate models as the drivers of ecosystem change to produce forecasts of future fire, vegetation, permafrost and hydrology regimes at a resolution of 1km. This effort is the first to model ecosystem change on a statewide scale, using climate change input as a major driving variable. The objectives of the IEM project are as follows; to better understand and predict effects of climate change and other stressors on landscape level physical and ecosystem processes, and to provide support for resource conservation planning.The IEM will provide resource managers with a decision support tool to visualize future landscapes in Alaska. Model outputs...
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