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This project developed a soil vulnerability index and map indicating where forest cover will be most affected by climate change. Using this map, researchers developed a greater understanding of potential changes in soil moisture and temperature regimes under future climate conditions. They then evaluated how this information could be used to improve vegetation models across the landscape. They compared the results of different modeling approaches to the soil vulnerability map, synthesized the state of knowledge and uncertainty, and introduced management implications for action.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
AK,
AK,
AK,
AK,
Version 2.0 Data Viewer for the South Atlantic Create a Version 2.0 Simple Viewer for the South Atlantic Conservation Blueprint that includes updates, additional data (category priorities, actions, justifications, ownership, and partner data), and dynamic charting of indicators and presentation of ecosystem and analysis unit aggregate indicator scores. Continue to refine and improve the South Atlantic Conservation Planning Atlas (salcc.databasin.org) Provide technical guidance and recommendations about how to structure data and future Viewer platforms to achieve specific functions for future versions of the Blueprint hosted within an interactive viewer and the South Atlantic Conservation Planning Atlas.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
2016,
Applications and Tools,
Data Management and Integration,
LCC,
This dataset represents the soil texture from SSURGO and STATSGO soil descriptions for soil map units in the state of western Oregon that lie within the North Pacific Landscape Conservation Cooperative. Soil texture is the mineral particle size distribution of soil particles within a soil horizon. This dataset also documents rock fragments and organic matter that may contribute to water infiltration, storage and relocation within the surface horizons of the soil profile. For reference, see NRCS soil texture triangle: http://soils.usda.gov/technical/aids/investigations/texture/
This dataset represents the soil order from SSURGO and STATSGO soil descriptions for soil map units in the state of southern Alaska (b) that lie within the North Pacific Landscape Conservation Cooperative.
This dataset represents the soil pH from SSURGO and STATSGO soil descriptions for soil map units in the state of northern California that lie within the North Pacific Landscape Conservation Cooperative.
Climate data (NCEP: Average Annual Temperature, 1968-1999) have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http://users.ictp.it/RegCNET/model.html), and the ICTP RegCM publications...
This dataset depicts the Difference for Average Summer Temperature for Jul-Sep for 2045-2060 compared to 1968-1999 for GFDL. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET...
Simulated Surface Runoff by the biogeography model MAPSS using S. Hostetler's (USGS) climate data (detailed information available at http://regclim.coas.oregonstate.edu/domains.html), created using RegCM3 with GFDL boundary conditions. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well...
This dataset represents the average amount of Growing Degree Days (GDD) per year within each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Growing degree days (referenced to 0oC) (unit = deg C days) were determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries. They were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). The MC1 model...
MC1 is a widely used dynamic global vegetation model (DGVM) that has been used to simulate potential vegetation shifts in California and Alaska, all of North America, and over the entire globe under various climate change scenarios. However, past simulations were run at a scale that is too coarse (e.g., 10km x 10km for the California simulations) for use by local resource managers, such as those in Yosemite National Park ( see Data Basin feature on Yosemite results ). More recently, the model has been implemented at a finer resolution (800m x 800m) of greater utility to National Park staff. MC1 is a model that simulates vegetation types, ecosystem fluxes of carbon, nitrogen, and water, as well as wildfire occurrence...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GIS,
climate,
fire,
land cover,
map,
This project will conduct a vulnerability assessment, develop climate-smart adaptation strategies and actions, and generate implementation plans for focal habitats of the South and Central Coast regions of the CALCC, with a specific focus on four Southern California National Forests (Angeles, San Bernardino, Cleveland, Los Padres).Specific project goals include:(1) Assess the regional vulnerabilities and resiliencies of focal habitats to climate change and non-climate change stressors.(2) Generate climate-informed maps to identify how vulnerabilities vary spatially to help prioritize conservation areas and activities.(3) Identify implementable climate-smart conservation strategies and actions to conserve priority...
Adaptation Planning Workshop #1:We convened a two-day workshop with scientists, managers, conservation practitioners, and others to use the findings of the vulnerability assessment to inform the development of climate-smart adaptation strategies and actions to conserve priority habitats. Specifically, we used the results of the vulnerability assessment to evaluate whether existing management actions may be vulnerable to climate change, and identify opportunities to modify existing actions to reduce vulnerabilities and become more climate-smart. We then focused on identifying climate-smart conservation strategies and actions that are not currently being implemented, but should be considered in order to conserve priority...
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period. The potential distribution of the big-eared woodrat (Neotoma macrotis) was modeled using a MaxEnt species distribution model using recent and future climate data with presence records from the San Diego Natural History Museum. Species distributions were modeled only for the South Coast Ecoregion in California, USA as...
Categories: Data;
Tags: Completed,
LCC Network Science Catalog,
data.gov California LCC,
environment,
geographicDataset
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period. The potential distribution of Ceanothus greggii was modeled using a MaxEnt species distribution model using recent and future climate data with presence records from the San Diego Natural History Museum. Species distributions were modeled only for the South Coast Ecoregion in California, USA as this is where management...
Categories: Data;
Tags: Completed,
LCC Network Science Catalog,
data.gov California LCC,
environment,
geographicDataset
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period.
Categories: Data;
Tags: Completed,
LCC Network Science Catalog,
data.gov California LCC,
environment,
geographicDataset
Vulnerabilities of 27 resources were evaluated during the Vulnerability Assessment Workshop (held March 5-7, 2013); resources included 8 ecosystems (alpine/subalpine, yellow pine/mixed conifer, red fir, wet meadows and fens, oak woodlands, chaparral, sagebrush, and aquatic), 15 species (fisher, marten, bighorn sheep, wood rat, willow flycatcher, mountain quail, sage grouse, Sierra Nevada yellow-legged frog, mountain yellow-legged frog, red fir, blue oak, black oak, whitebark pine, bristlecone pine, and aspen), and 4 ecosystem services (timber and wood products, carbon, fire, and recreation). The vulnerability assessment results are comprised of evaluations and comments from a participant breakout group during the...
Categories: Data;
Tags: Completed,
Document,
LCC Network Science Catalog,
data.gov California LCC,
environment
Comprehensive geospatial data covering the area of the Gulf Coast Prairie Landscape Conservation Cooperative is needed to better inform and improve countless conservation efforts and help partners convey a shared vision and priorities for this area in geospatial terms.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
2016,
2017,
Academics & scientific researchers,
Applications and Tools,
The over-arching theme of this work is that soil data affect the performance and realism of vegetation models with particular focus on their ability to predict or explain disturbances such as fire or disease. We tested the sensitivity of the Excel version of the 3-PG model to soil properties and applied this information to understanding bark beetle attacks in drought-stressed forests. We tested the sensitivity of the MC2 model to soil depth with a particular focus on how soils affect the biogeochemistry and fire modules of the Dynamic Global Vegetation Model (DGVM). We found in these sensitivity analyses, soil depth, soil water storage capacity (ASW) and soil texture are among the most important soil factors to...
Categories: Data;
Tags: LCC Network Science Catalog,
climate change,
completed,
dynamic global vegetation models,
product,
1 year of maintenance (Oct 1, 2014 – Sept 30, 2015) of Maintenance For 4 CPAs in the SE (SE Region CPA, South Atlantic LCC CPA, Pennisular Florida CPA, Gulf Coastal Plains and Ozarks CPA).3 years of maintenance (Oct 1, 2015 – Sept 30, 2018) of Maintenance For 2 CPAs in the SE (SE Region CPA and the South Atlantic LCC CPA) Maintain the functionality of the South Atlantic LCC Conservation Planning Atlas and Southeast Region Conservation Planning Atlas developed using the Data Basin platform. These linked Conservation Planning Atlases (CPAs) allow administrators and users of these southeastern CPA gateways to consolidate spatial information for public outreach and internal use, and include private and public group...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
2016,
2017,
2018,
Applications and Tools,
In this CA LCC-funded Climate-Smart Conservation Planning effort, EcoAdapt’s climate adaptation scientists worked with National Forest conservation managers to conduct vulnerability assessments, develop climate-smart adaptation strategies and actions, and generate implementation plans for key habitats of Southern California, with a specific focus on four National Forests (Angeles, San Bernardino, Cleveland, Los Padres). This effort provides information and example case studies for USFS planning and management (e.g., Forest Plan Revisions, Climate Change Performance Scorecard) among other natural resource management and conservation efforts to prepare for climate change impacts in Southern California.
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