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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Anthropogenic climate change is rapidly altering aquatic ecosystems across the Rocky Mountain West and may detrimentally impact populations of sensitive species that are often the focus of conservation efforts. The objective of this report is to synthesize a growing literature on these topics to address the following questions: (1) What is changing in climate and related physical/hydrological processes that may influence aquatic species and their habitats? (2) What are the implications for fish populations, aquatic communities, and related conservation values? (3) What can we do about it? In many instances, proactive efforts may help populations adapt to climate change; but elsewhere, transitions of aquatic ecosystems...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Raster layers depicting the distribution of possible ecological traps to sage-grouse based on the intersection of conifer cover-classes 1 (Greater than 0 up to 10 percent) and 2 (11 up to 20 percent) with high resistance and resilience, and ecological traps within sage-grouse concentration areas and ecological traps in sage-grouse habitat.
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Monitoring shoreline change is of interest in many coastal areas because it enables quantification of land loss over time. Evolution of shoreline position is determined by the balance between erosion and accretion along the coast. In the case of salt marshes, erosion along the water boundary causes a loss of ecosystem services, such as habitat provision, carbon storage, and wave attenuation. In terms of vulnerability, higher shoreline erosion rates indicate higher vulnerability. This dataset displays shoreline change rates at the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Shoreline change rates are based on...
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These data were compiled in order to represent long-term (multi-decadal) forest growth across eight different experimental forests in the United States, each with replicated levels of density treatments, as well as an important drought index correlated to growth. Forests around the world are experiencing severe droughts and elevated competitive intensity due to increased tree density. These data can be utilized to not only examine differences in within-stand competition, as well the trends and impact of drought in different forests across a broad climatic gradient, but also the influence of interactions between drought and competition on forest growth. Growth is measured as a treatment level, annual basal area increment...
Categories: Data; Tags: Argonne Experimental Forest, Arizona, Bartlett Experimental Forest, Birch Lake Experiment, Black Hills Experimental Forest, All tags...
Abstract: (From: https://www.nrs.fs.fed.us/pubs/59158) Most regions of the United States are projected to experience a higher frequency of severe droughts and longer dry periods as a result of a warming climate. Even if current drought regimes remain unchanged, higher temperatures will interact with drought to exacerbate moisture limitation and water stress. Observations of regional-scale drought impacts and expectations of more frequent and severe droughts prompted a recent state-of-science synthesis (Vose et al. 2016). The current volume builds on that synthesis and provides region-specific management options for increasing resilience to drought for Alaska and Pacific Northwest, California, Hawai‘i and U.S.-Affiliated...
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FY2010In addition to regional Science and Traditional Ecological Knowledge projects that the Great Basin LCC (GBLCC) supports, GBLCC staff lend technical expertise to a range of projects and have contributed to important regional publications on a range of subjects. These publications range in type from textbooks, to management-oriented science and conservation plans, to scientific papers and have covered subjects like wind erosion following fire, soil microbiota response to drought, plant community resilience to invasive species, and alpine plant communities. In many cases these publications form foundations for scientifically-informed management strategies across the Great Basin.
Land managers are responsible for developing effective strategies for conserving and restoring Great Basin ecosystems in the face of invasive species, conifer expansion, and altered fire regimes. A warming climate is magnifying the effects of these threats and adding urgency to implementation of management practices that will maintain or improve ecosystem functioning. This Factsheet Series was developed to provide land managers with brief summaries of the best available information on contemporary management issues to facilitate science delivery and foster effective management. Each peer-reviewed factsheet was developed as a collaborative effort among knowledgeable scientists and managers. The series begins with...
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To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points.The results can highlight locally and regionally significant places...
This map depicts the density of "More Resilient" cells (defined as the top two quintiles from the stratified resilience dataset) within a 3-km radius of every cell. This provides important additional context when making land protection or restoration decisions. Cells with higher density values are embedded in a larger resilient landscape. These areas are more likely to support biodiversity and ecological function over time in a changing climate. To quantify resilience at the landscape scale, we used a density function, where all cells classified in the final top two resilience quintiles were included in the density calculations, regardless of their underlying Ecofacet, and all other cells were ignored. Looking...
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(This dataset displays the land facet elevation class) Land facets are a primary component in TNC’s analysis of site resilience to climate change. Their inclusion is based on the assumption that preservation of representative examples of the geophysical ‘Stage’ (ie., topo-edaphic factors) results in protection of a wider variety of species (the ‘Players’). These data represent a land facet classification created for the Pacific Northwest Landscape Resilience project. Each Land Facet has been stratified by terrestrial ecoregions - essentially defining each combination of soil order, elevation zone and slope class as unique from that same combination in another ecoregion. A full description of the development of...
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The data in this data release are from an effort focused on understanding social vulnerability to water insecurity, resiliency demonstrated by institutions, and conflict or crisis around water resource management. This data release focuses on definitions and metrics of resilience in water management institutions. Water resource managers, at various scales, are tasked with making complex and time-sensitive decisions in the face of uncertainty, competing objectives, and difficult tradeoffs. To do this, they must incorporate data, tacit knowledge, cultural and organizational norms, and individual or institutional values in a way that maintains consistent and predictable operations under normal circumstances, while...
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Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using Landsat 8 satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated fractional covers and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated fractional cover...


map background search result map search result map Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Regional Flow 2016, Eastern U.S. and Canada Shoreline change rates in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey Precipitation (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 1980-2010 Precipitation (Proportion July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Max Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Mean Temperature (Minimum: January) - 2020-2050 - RCP8.5 - Max Research and Publications Authored and Supported by GBLCC Staff Long-term Experimental Forest Growth and Drought Data Possible Ecological Traps to Sage-grouse in the Bistate Region of California and Nevada Metrics of Resilience in Water Management Institutions in the Upper Colorado and Delaware River Basins, United States 2022 Shoreline change rates in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey Possible Ecological Traps to Sage-grouse in the Bistate Region of California and Nevada Research and Publications Authored and Supported by GBLCC Staff Metrics of Resilience in Water Management Institutions in the Upper Colorado and Delaware River Basins, United States 2022 Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Long-term Experimental Forest Growth and Drought Data Regional Flow 2016, Eastern U.S. and Canada Precipitation (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 1980-2010 Precipitation (Proportion July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Max Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Mean Temperature (Minimum: January) - 2020-2050 - RCP8.5 - Max