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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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Measurements of liquid water content (LWC) of coastal fog events were collected using specialized fog water collection units during the hot dry summer season (July to September) and continued through the winter. These data were assembled to explore the potential of fog water collection as a water resource for Midpeninsula Regional Open Space District public lands in San Mateo County, California. Simultaneous meteorological measurements were collected for four variables: wind, temperature, humidity, and solar radiation. The dataset includes ~12,000 records for two summers (2016 and 2017) at two sites. One site was a grassland near the MROSD Skyline Field Office (SFO) and the other in a Douglas forest clearing at...
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In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. 2020). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov_v2.0.tif' and 'perc_recov_v2.0.tif' are rasters for predicted time to recovery...
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The Southwest U.S. is experiencing hotter droughts, which are contributing to more frequent, severe wildfires. These droughts also stress vegetation, which can make it more difficult for forests to recover after fire. Forest regeneration in burned areas may be limited because seeds have to travel long distances to recolonize, and when they do arrive, conditions are often unfavorably hot and dry. Conifer forests in the region have demonstrated particular difficulty in recovering after fires, and in some cases have transformed into other ecosystem types, such as deciduous-dominated forests or grasslands. Such ecological transformations have implications not only for the plants and animals that depend on conifer forests...
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Groundwater influenced ecosystems (GIEs) are increasingly vulnerable due to groundwater extraction, land use practices, and climate change. These ecosystems receive groundwater inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of their baseflow or water budget, and in some systems (e.g., springs, seeps, fens) this connection with groundwater is central to the system’s integrity and persistence. Groundwater management decisions for human use often do not consider the ecological effects of those actions on GIEs. This disparity can be attributed, in part, to a lack of information regarding...
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This fire risk assessment was conducted to understand how resilience and resistance and sage-grouse breeding bird habitat may inform wildland fire management decisions including preparedness, suppression, fuels management and post-fire recovery for western sagebrush communities. The assessment is based on the premise that risk = probability of a threat and the consequences of that threat (negative or positive). Fire risk was determined by the probability of a large wildfire and the consequences of fire on greater sage-grouse breeding habitat. These consequences were modified by the capacity of sage-grouse habitat to be resilient and thus recover from fire processes, and be resistant to invasive annual grasses. The...
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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...
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The Nature Conservancy’s Southeast Resilience Project aimed to identify key places areas for conservation based on land characteristics that increase diversity and resilience. This is the estimated resilience score, based on the combined scores of landscape diversity and local connectedness, and ranked relative to the geophysical setting and ecoregion. The estimated resilience score is given as a SD category based on its standard normalized score for the setting and ecoregion. The Resilience Project DOES NOT take into account sea level rise. A climate-resilient conservation portfolio includes sites representative of all geophysical settings selected for their landscape diversity and local connectedness. We developed...
Topoclimate diversity connotes the range of temperature and moisture regimes available to species as local habitat refugia under climate change scenarios (Dobrowski 2010). Areas rich in topoclimatic niches may increase species diversity (Kerr et al. 1997) and increase the likelihood for species persistence across multiple temporal scales (Luoto et al. 2008, Weiss et al. 1988). We defined the Topoclimate Diversity Index (TDI) as a combination of two extant indices, Heat Load Index (HLI) and Compound Topographic Index (CTI), each measured as a focal statistic across a 450-m radius neighborhood. Topo Div_Score: This score represents a focal statistics output (450 m radius from each focal cell), describing the range...
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The Sevilleta LTER supports a long-term, integrated, interdisciplinary research program addressing key hypotheses on pattern and process in aridland ecosystems. Sevilleta LTER research includes studies in desert grassland and shrubland communities, and riparian and mountain forests emphasizing pulse driven processes in space and time. Key drivers (e.g., climate, fire, water, resource availability) govern dynamics in each landscape component. Our focus on how biotic and abiotic drivers affect spatial and temporal dynamics of aridland ecosystems allows us to conduct long-term research that addresses important basic theories and yet has significant relevance to regional, national and international priorities. The...
The field of adaptive management has been embraced by researchers and managers in the United States as an approach to improve natural resource stewardship in the face of uncertainty and complex environmental problems. Integrating multiple knowledge sources and feedback mechanisms is an important step in this approach. Our objective is to contribute to the limited literature that describes the benefits of better integrating indigenous knowledge (IK) with other sources of knowledge in making adaptive-management decisions. Specifically, we advocate the integration of traditional phenological knowledge (TPK), a subset of IK, and highlight opportunities for this knowledge to support policy and practice of adaptive management...
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Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience and...
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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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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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This data release contains coastal wetland synthesis products for the geographic region of Hudson Valley and New York City, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability...


map background search result map search result map TNC Southeast Resilience Sevilleta LTER Library Resilience and Resistance Classes for Sage-Grouse Management Zones Fire Risk Assessment for the Greater Sage-Grouse Raster Regional Flow 2016, Chesapeake Bay, U.S. Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Precipitation (Proportion July - Sep) - 2020-2050 - RCP4.5 - Mean Temperature (Mean: Annual) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max Post-Fire Conifer Regeneration Under a Warming Climate: Will Severe Fire Be a Catalyst for Forest Loss? Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021) Liquid water content, coastal fog events, San Mateo County, California Coastal wetlands of Hudson Valley and New York City, New York Vulnerability of Groundwater Influenced Ecosystems in the Northeastern United States Sevilleta LTER Library Liquid water content, coastal fog events, San Mateo County, California Coastal wetlands of Hudson Valley and New York City, New York Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021) Post-Fire Conifer Regeneration Under a Warming Climate: Will Severe Fire Be a Catalyst for Forest Loss? Regional Flow 2016, Chesapeake Bay, U.S. Vulnerability of Groundwater Influenced Ecosystems in the Northeastern United States Fire Risk Assessment for the Greater Sage-Grouse Raster Resilience and Resistance Classes for Sage-Grouse Management Zones TNC Southeast Resilience Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Precipitation (Proportion July - Sep) - 2020-2050 - RCP4.5 - Mean Temperature (Mean: Annual) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max