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Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
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Historical and projected suitable habitat of 14 tree and shrub species a under CCSM4 GCMs from 2000 to 2099 was predicted to assess projected climate change impacts in forest communities of North Central U.S. We obtained presence/absence record of each species from Forest Inventory and Analysis (FIA) data. required ata. Historical tme period ranges from 1971 to 2000, and projected time period ranges from 2071 to 2100. Random Forest was used to project historical and future suitable habitat of all species across West U.S. using the Biomod2 software programmed in R environment. We adopted a climate change scenarios generated from the experiments conducted under fifth assessment of Coupled Model Intercomparison Project...
(1) This written report summarizes and synthesizes results of literature review, interviews, and workshops, providing the scientific basis for and extension strategies for the management recommendations provided in the "green website" [Data Input New Collection]. The report includes an addendum regarding reference bibliographies and a references list with citations. (2) Selected, unusual references that are not readily available online or through standard academic sources were collected by the project. (3) Selected photographs are retained by the project in electronic form.
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Data points intensively sampling 46 North American biomes were used to predict the geographic distribution of biomes from climate variables using the Random Forests classification tree. Techniques were incorporated to accommodate a large number of classes and to predict the future occurrence of climates beyond the contemporary climatic range of the biomes. Errors of prediction from the statistical model averaged 3.7%, but for individual biomes, ranged from 0% to 21.5%. In validating the ability of the model to identify climates without analogs, 78% of 1528 locations outside North America and 81% of land area of the Caribbean Islands were predicted to have no analogs among the 46 biomes. Biome climates were projected...
In the Southeastern U.S. rapid urbanization is a major challenge to developing long-term conservation strategies. The SAMBI DSL project used predicted urban growth models described herein to inform future landscape conditions that were also based climate change impacts and vegetative community succession. These future landscape conditions were then applied as a context for land use and management decisions in conservation planning. SLEUTH, named for the model input datasets (Slope, Land use, Excluded, Urban, Transportation and Hillshade) is the evolutionary product of the Clarke Urban Growth Model that uses cellular automata, terrain mapping and land cover change modeling to address urban growth (Jantz et al, 2009;...
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This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers, resistance, cost-weighted distance, landscape integrity networks,...
This project gallery includes all project reports and associated assessment materials, including interactive and downloadable connectivity and climate datasets for the project " Creating Practitioner-driven, Science-based Plans for Connectivity Conservation in a Changing Climate: A Collaborative Assessment of Climate-Connectivity Needs in the Washington-British Columbia Transboundary Region".
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This project facilitated the implementation of a multiyear project to understand how climate variability and management practices influence soil microbial and nutrient dynamics within a no-till cotton production system with stubble management. Three fields at the R.N. Hooper farm in Petersburgh, TX were used for this project and continue to be monitored with funds from Cotton Inc. The three fields are center-pivot irrigated to compensate for rainfall variability as needed and depending upon water availability. The three fields were planted into the following crops for 2017 : Field 1 – corn following cotton; Field 2 – cotton following corn, and Field 3 – Wheat/mixed summer cover following wheat. The sizes of the...
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Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results...
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Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This spreadsheet contains an inventory of existing hydrologic models in the Southeast region and Puerto Rico. Data were compiled by contacting federal and state agencies, members of academia, and environmental consultants.
This website provides access to a broad range of information related to seasonal climate variability in the Republic of the Marshall Isalnds. It includes a quick-look at current and future conditions for a range of climate indicators, direct access to more detailed outlook-related information from stations and statellites, and products that place this information in a histrorical context. It also includes links to addtional sources of information.
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PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of 1950-2100. The variables available include minimum temperature, maximum temperature, and precipitation. These downscaling outputs are based on Global Climate Model (GCM) projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and historical daily gridded climate data for Canada.​​ Statistical properties and spatial patterns of the downscaled scenarios are based on this gridded observational dataset, which represents one approximation of the actual historical climate. Gridded values may differ from climate stations and biases may...
The “Coral Atoll Agroforestry Plant Screener” is a simple plant sorting tool designed and built specifically for use on the coral atolls and islands of the Republic of the Marshall Islands. The purpose of this tool is to improve plant resiliency and protect island ecosystems by selecting and planting non-invasive species that are better able to withstand extreme conditions brought on by changing climates. It is a revised version of the NRCS PIA Vegetative Guide (see “Data Input Existing Collection in the Data Management Plan”).
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Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
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Cold-induced mortality is a key factor driving mountain pine beetle( Dendroctonus ponderosae) population dynamics. In this species, the supercooling point (SCP) is representative of mortality induced by acute cold exposure. Mountain pine beetle SCP and associated cold-induced mortality fluctuate throughout a generation, with the highest SCPs prior to and following winter. Using observed SCPs of field-collected D. ponderosae larvae throughout the developmental season and associated phloem temperatures, we developed a mechanistic model that describes the SCP distribution of a population as a function of daily changes in the temperature-dependent processes leading to gain and loss of cold tolerance. It is based on...
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These two datasets represent a normalized least-cost corridor mosaic (see WHCWG 2010 and McRae and Kavanagh 2011) calculated using (1) temperature gradients and a landscape integrity resistance raster, or (2) temperature gradients only, following the climate gradient linkage-modeling methods outlined in Nuñez (2011), using an adapted version of the Linkage Mapper software (McRae and Kavanagh 2011). This GIS dataset is one of several climate connectivity analyses produced by Tristan Nuñez for a Master's thesis (Nuñez 2011). The dataset was produced in part to assist the Climate Change Subgroup of the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The core areas in the map lie in Washington State...
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The Monarch’s View of a City project will lay the groundwork for design principles to guide the development, testing and deployment of future urban conservation for the Monarch butterfly across the Eastern half of the country. This strategy will need to reflect an integrated and interdisciplinary approach, one that includes ecological and social dimensions specific to an urban landscape. Pilot design projects at various scales in at least two cities will advance the state of science for developing landscape conservation design (LCD) guidelines for monarch butterfly conservation in urban areas as described below. While the ETPBR LCC, working through US Fish & Wildlife Service staff, will select cities and manage...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
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This raster combines linkages developed from four landscape integrity-derived resistance surfaces: linear, low sensitivity, medium sensitivity, and high sensitivity. See Section 2.5.2 WHCWG (2012) for additional information pertaining to development of the four landscape integrity-derived resistance rasters. Adjacent core areas within 100 km Euclidean distance of one another were connected. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the...
map background search result map search result map Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project Normalized least-cost corridors, statewide analysis for six vertebrae species in the Pacific Northwest Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Landscape integrity HCA and corridors from four integrity-derived resistance surfaces Statistically down-scaled climate scenarios for the simulated period of 1950-2100 for the Northwest US and British Columbia, Canada North American vegetation model data for land-use planning in a changing climate: Normalized least-corridor mosaic using temperature gradients and landscape integrity resistance Regional to local coarse to fine scale global change impact study on flow Southeast modeling efforts for flow and ecology A Monarch’s View of Urban Landscapes: Pilot City Design Report Land use change and fragmentation of Theodore Roosevelt Greater Wildland Ecosystems (GWE) using LANDFIRE data Habitat Suitability of Dominant Tree and Shrub Species to Support Wolverine Management Across North West U.S. (1971-2100) Under Climate Change Initiating the Development of Regional Demonstration Fields for Implementing Soil Practices That Maximize Soil Health and Drought Resilience: Understanding Microbial-Temperature Dynamics Landscape integrity HCA and corridors from four integrity-derived resistance surfaces Land use change and fragmentation of Theodore Roosevelt Greater Wildland Ecosystems (GWE) using LANDFIRE data Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Normalized least-cost corridors, statewide analysis for six vertebrae species in the Pacific Northwest Normalized least-corridor mosaic using temperature gradients and landscape integrity resistance North American vegetation model data for land-use planning in a changing climate: Statistically down-scaled climate scenarios for the simulated period of 1950-2100 for the Northwest US and British Columbia, Canada Initiating the Development of Regional Demonstration Fields for Implementing Soil Practices That Maximize Soil Health and Drought Resilience: Understanding Microbial-Temperature Dynamics A Monarch’s View of Urban Landscapes: Pilot City Design Report Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project Habitat Suitability of Dominant Tree and Shrub Species to Support Wolverine Management Across North West U.S. (1971-2100) Under Climate Change Regional to local coarse to fine scale global change impact study on flow Southeast modeling efforts for flow and ecology