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This map shows the classes, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change for the Visual Resource Management (VRM) in the study area. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the...
This map shows the distribution, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change of Northern Goshawk Habitat in the study area. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata...
Riparian and wetland systems were determined from NHD waterbodies, SWReGAP riparian landcover types, and LANDFIRE riparian existing vegetation types. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled...
The Visual Resource Inventory Classes data were provided by BLM. This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Inventory Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
Riparian and wetland systems were determined from NHD waterbodies, SWReGAP riparian landcover types, and LANDFIRE riparian existing vegetation types. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled...
The 2030 Ponderosa pine viablitly was average based on the 7 climate models and clipped to the ecoregion.
The 2030 Western juniper viablitly was average based on the 7 climate models and clipped to the ecoregion.
The Quartz Valley Indian Reservation will partner with tribes, federal agencies and higher education institutions in the Klamath Basin on a tribal youth intern program for the summer of 2014. This program will build on current efforts to integrate western science and TEK for climate change planning and adaptation in the Klamath Basin.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
California,
Climate change,
Conservation Design,
Conservation Planning,
The central objective of this project was to answer two questions: 1) how downscaled climate datasets, modeled vegetation changes, and information on estimated species sensitivities can be used to develop climate change adaptation strategies, and 2) how model results and datasets can be made more useful for informing the management of species and landscapes. To answer these questions, we identified enthusiastic partners working in two very different complex landscapes within the North Pacific Landscape Conservation Cooperative (NPLCC): 1) the British Columbia Park system, specifically the midcoast region, and 2) the National Wildlife Refuge system in the Willamette Valley, OR. The issues and concerns of each group...
Categories: Data;
Tags: Academics & scientific researchers,
B.C.,
BC Provincial parks,
British Columbia,
Conservation Planning,
The Quartz Valley Indian Reservation will partner with tribes, federal agencies and higher education institutions in the Klamath Basin on a tribal youth intern program for the summer of 2014. This program will build on current efforts to integrate western science and TEK for climate change planning and adaptation in the Klamath Basin.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
California,
Climate change,
Conservation Design,
Conservation Planning,
This project will create a targeted and easily understandable guide to tools that support landscape-level planning in the face of climate change for NPLCC partners. The guide will build on previous NPLCC research on decision support needs with an emphasis on tools currently in use in the region. A survey of NPLCC partners will discover who is currently using or planning to use tools in the region, tools they are using, how well these tools are meeting their needs, and regional and outside experts engaged in tool use. Additional tools research will provide information on tools not currently in use in the region that could also provide needed functionality.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Ak-1,
Alaska,
British Columbia,
CA-2,
Abstract The distribution and future fate of ectothermic organisms in a warming world will be dictated by thermalscapes across landscapes. That is particularly true for stream fishes and cold-water species like trout, salmon, and char that are already constrained to high elevations and latitudes. The extreme climates in those environments also preclude invasions by most non-native species, so identifying especially cold habitats capable of absorbing future climate change while still supporting native populations would highlight important refugia. By coupling crowd-sourced biological datasets with high-resolution stream temperature scenarios, we delineate network refugia across >250 000 stream km in the Northern...
Categories: Publication;
Types: Citation;
Tags: bull trout,
climate change,
cutthroat trout,
invasive species,
refugia,
This map shows areas of high current, near-term, and long-term potential landscape development, based on factors such as urban areas, agriculture, roads, and energy development.
Categories: Data,
Map;
Types: ArcGIS REST Map Service,
Map Service;
Tags: Colorado Plateau,
change agents,
climate change,
rapid ecoregional assessment
The effects of climate change have the potential to impact slope stability. Negative impacts are expected to be greatest at high northerly latitudes where degradation of permafrost in rock and soil, debuttressing of slopes as a result of glacial retreat, and changes in ocean ice-cover are likely to increase the susceptibility of slopes to landslides. In the United States, the greatest increases in air temperature and precipitation are expected to occur in Alaska. In order to assess the impact that these environmental changes will have on landslide size (magnitude), mobility, and frequency, inventories of historical landslides are needed. These inventories provide baseline data that can be used to identify changes...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Glacier Bay National Park and Preserve,
USGS Science Data Catalog (SDC),
climate change,
frequency,
The Visual Resource Inventory Classes data were provided by BLM. This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Inventory Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled from the landscape condition model. Current...
This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled from the landscape condition model. Current...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
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