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The regional flow patterns dataset was designed to identify potential larger-scale directional movements and pinpoint the areas where they are likely to become concentrated, diffused, or rerouted, due to the structure of the landscape. We used the software tool Circuitscape (McRae and Shah 2009, http://www.circuitscape.org/) based on electric circuit theory, to model these larger flow patterns for the region. Like the local connectedness analysis, the underlying data for this analysis was land-cover and road data converted to a resistance grid by assigning weights to the cell types based on their similarity to cells of natural cover. However, instead of quantifying local neighborhoods, the Circuitscape program calculates...
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UPDATE 9/24/2014. Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries. The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...
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An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.
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This file contains the resilient sites for terrestrial resilience. There are 4 main classes of sites (sybmolize on class field):CLASS 1 - Priority Climate and Current Biodiversity Area: These 312 areas contain significant conservation features AND qualify as natural strongholds for biodiversity in the face of climate change. We recommend that strategies be implemented to prevent these places from degradation by development, fragmentation, or inappropriate management. CLASS 2 - Priority Climate Area: these areas qualify as natural strongholds for biodiversity but need further investigation to confirm that they have significant existing biological features such as rare species or exemplary natural communities. Of...
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Natural resource managers are confronted with the pressing challenge to develop conservation plans that address complex ecological and societal needs against the backdrop of a rapidly changing climate. Climate change vulnerability assessments (CCVAs) provide valuable information that helps guide management and conservation actions in this regard. An essential component to CCVAs is understanding adaptive capacity, or the ability of a species to cope with or adjust to climate change. However, adaptive capacity is the least understood and evaluated component of CCVAs. This is largely due to a fundamental need for guidance on how to assess adaptive capacity and incorporate this information into conservation planning...
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The regional flow patterns dataset was designed to identify potential larger-scale directional movements and pinpoint the areas where they are likely to become concentrated, diffused, or rerouted, due to the structure of the landscape. We used the software tool Circuitscape (McRae and Shah 2009, http://www.circuitscape.org/) based on electric circuit theory, to model these larger flow patterns for the region. Like the local connectedness analysis, the underlying data for this analysis was land-cover and road data converted to a resistance grid by assigning weights to the cell types based on their similarity to cells of natural cover. However, instead of quantifying local neighborhoods, the Circuitscape program calculates...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the climate velocity for Rehfeldt biome-habitat types (from 2000 to 2060), where units are in km/year.
Alaska's communities are experiencing impacts from unprecedented climate-related changes in the harvests of natural resources. Residents of rural Alaska are reporting heretofore unseen changes in the geographic distribution and abundance of marine resources, increases in the frequency and ferocity of storm surges in the Bering Sea, changes in the distribution and thickness of sea ice, and increases in river and coastal erosion. When combined with ongoing socio-economic change, climate, weather, and changes in the biophysical system interact in a complex web of feedbacks and interactions that make life in rural Alaska challenging. We present a framework of indicators to assess three basic constituents of community...
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An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.
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Fire in the western U.S. poses one of the greatest threats to human and ecological communities alike. In fact, fire management is the largest single expenditure of land management funds on federal lands. Now, climate change is altering wildfire patterns. Climate change in the West is creating warmer and drier conditions, resulting in an increase in the amount of dead vegetation available to fuel fires. This project sought to assess the vulnerability of forests in the southwestern U.S. to climate change and wildfire, in order to understand how these ecosystems might become altered as a result. Researchers (a) examined how climate change impacts wildfires in the region, to better understand fire risk; (b) identified...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries. The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying key linkages...
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Data contain metabolic rates of red-backed salamanders (Plethodon cinereus) exposed to different thermal regimes, and the movements of salamanders marked with PIT tags and exposed to electromagnetic fields.
Alaska's communities are experiencing impacts from unprecedented climate-related changes in the harvests of natural resources. Residents of rural Alaska are reporting heretofore unseen changes in the geographic distribution and abundance of marine resources, increases in the frequency and ferocity of storm surges in the Bering Sea, changes in the distribution and thickness of sea ice, and increases in river and coastal erosion. When combined with ongoing socio-economic change, climate, weather, and changes in the biophysical system interact in a complex web of feedbacks and interactions that make life in rural Alaska challenging. We present a framework of indicators to assess three basic constituents of community...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents hydrologically-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H), and are then averaged using hierarchical watersheds. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Salmonids, a group of coldwater-adapted fishes of enormous ecological and socio-economic value, historically inhabited a variety of freshwater habitats throughout the Pacific Northwest (PNW). Over the past century, however, populations have dramatically declined due to habitat loss, overharvest, and invasive species. Consequently, many populations are listed as threatened or endangered under the U.S. Endangered Species Act. Complicating these stressors is global warming and associated climate change. Overall, aquatic ecosystems across the PNW are predicted to experience increasingly earlier snowmelt in the spring, reduced late spring and summer flows, increased winter flooding, warmer and drier summers, increased...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents a combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag). Values run from 0 to 1.0 and is calculated as: Agp = EH x Ag. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset represents The Nature Conservancy's Terrestrial Resilience symbolized by Geophysical Settings (90m Resilience is also included in the download of this dataset). Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries. The project had three parts: 1) identifying and mapping...
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Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries. The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying key linkages...
map background search result map search result map The Vulnerability of Forests to Climate Change and Wildfire in the Southwestern U.S. Geophysical Settings 1000 A Hexagons, Northern Appalachians/Acadians Resilience Stratified by Setting and Ecoregion with Regional Override, Northern Appalachians/Acadians Regional Flow Patterns Grouped Regional Flow Patterns Basic Hexagons for Resilience Resilient Sites Adaptive Capacity, High Range Adaptive Capacity, Low Range Local Connectedness 1000 A Hexagons Stratified by Geophysical Setting and Ecoregion, Northern Appalachians Ag: terrestrially defined adaptive capacity for Great Northern LCC Agp: combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag) for Great Northern LCC Aw: hydrologically-defined adaptive capacity for Great Northern LCC Awp: combined measure of physiographic diversity (EH) and hydrologically-defined adaptive capacity (Aw) for Great Northern LCC Ehv: climate velocity for Rehfeldt biome-habitat types (km/year). Report to NECSC: Adaptive capacity in a forest indicator species Evaluating Species’ Adaptive Capacity in a Changing Climate: Applications to Natural-Resource Management in the Northwestern U.S. Evaluating Species’ Adaptive Capacity in a Changing Climate: Applications to Natural-Resource Management in the Northwestern U.S. Report to NECSC: Adaptive capacity in a forest indicator species The Vulnerability of Forests to Climate Change and Wildfire in the Southwestern U.S. Adaptive Capacity, High Range Adaptive Capacity, Low Range Resilient Sites Basic Hexagons for Resilience Geophysical Settings 1000 A Hexagons, Northern Appalachians/Acadians Local Connectedness 1000 A Hexagons Stratified by Geophysical Setting and Ecoregion, Northern Appalachians Resilience Stratified by Setting and Ecoregion with Regional Override, Northern Appalachians/Acadians Grouped Regional Flow Patterns Ag: terrestrially defined adaptive capacity for Great Northern LCC Agp: combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag) for Great Northern LCC Aw: hydrologically-defined adaptive capacity for Great Northern LCC Awp: combined measure of physiographic diversity (EH) and hydrologically-defined adaptive capacity (Aw) for Great Northern LCC Ehv: climate velocity for Rehfeldt biome-habitat types (km/year). Regional Flow Patterns