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Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the Freshwater Aquatics at present, and under six future scenarios of sea level rise and urbanization.
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This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a projected climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for the future climate condition using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean...
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The purpose of this study was to understand how the U.S. Department of Interior’s federal land and resource managers and their stakeholders (i.e., NPS, BLM, FWS, BOR, BIA and tribes, among others) are experiencing and dealing with drought in their landscapes. The database is part of the Drought Risk and Adaptation in the Interior project. We conducted in-depth interviews (n=41) with DOI and tribal land managers in three case sites across the north central United States (northwest Colorado, southwest South Dakota, and Wind River Reservation), the goal of which was to develop a better understanding of drought vulnerabilities, risks, and responses in high-risk, multi-jurisdictional landscapes across the Missouri River...
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This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a projected climate condition representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2071-99 scenario rainfall and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for the future climate condition using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea...
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This data release contains data discussed in its larger work citation (Symstad et al., 2017, Climate Risk Management 17:78-91, Associated Item at right). "ClimateComparisonData.csv" contains summary metrics of six climate projections used as climate input for quantitative simulations of hydrologic and ecological responses to climate change at Wind Cave National Park (WCNP) and the same summary metrics for 38 other climate projections available at the time that these simulations were done. "HydroData.csv" contains mean annual streamflow of a stream in WCNP and mean annual hydraulic head of a subterranean lake in Wind Cave as simulated by the rainfall-response aquifer and watershed flow (RRAWFLOW) model for two climate...
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The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046–2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds. Appendix 2 is provided as supplementary information to accompany the forthcoming journal article Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana. These data document the monthly streamflow (in cubic meters per second) at the downstream end of each stream...
This dataset contains both the inputs and outputs generated as part of the Vulnerability assessment, including indicators of Exposure (the magnitude of climatic or ecological changes within the target landscape), Sensitivity (the response of targets to exposure), and Adaptive Capacity (the potential of the target to cope with exposure). These spatial datasets can be used to construct maps that classify areas according to the presence of vulnerable components.
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Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the High Pine and Scrub at present, and under six future scenarios of sea level rise and urbanization.
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A final summary figure summarizing the results of a study that compares two different downscaling techniques in terms of how they project future change in various aspects of the maple syrup tapping season. Spatially, the larger project uses raster data covering the full range of sugar maple across the northeastern US, but the summary figure represents point data (as an example) at a sugarbush farm in central Wisconsin. The results show that dynamically downscaled models fail to adequately forecast absolute values of future conditions but do capture potential changes in year-to-year variability — a metric of particular concern to producers as it challenges planning. Statistically downscaled models, while they do...
Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the Coastal Uplands at present, and under six future scenarios of sea level rise and urbanization.
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In 1954 researchers at the USGS Great Lakes Science Center conducted 11 research cruises on Lake Michigan during which 779 bathythermographs were cast to collect temperature profile data (temperature at depth). Bathythermographs of that era recorded water pressure and temperature data by mechanically etching them as a curve on a glass slide. Data was collected from the glass slide by projecting the image of the curve, superimposing a grid, and taking a photo of it, thereby creating a bathythermogram. Data collection personnel could then read the data from the curve. This USGS data release is a digitized set of those original bathythermogram print photos and the temperature and depth data the project team collected...
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Historical (1981-2005) vs. Projected (2031-’55) Yields. Each year’s crop yields are calculated as an average of all counties in North and South Dakota. Hashed representations of projected yields are from RCP 4.5 emissions scenario from seven GCMs, namely CESM (Community Earth System Model), CNRM (Center National de Recherches Météorologiques (France)), GFDL (Geophysical Fluid Dynamics Laboratory), GISS (Goddard Institute of Space Studies), HADGEM (Hadley Global Environment Model), IPSL (Institut Pierre-Simon Laplace (France)) and MIROC (Model for Interdisciplinary Research on Climate). Median projection in a given year is calculated by taking the median yield value of the yield projections from each of seven climate...
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This dataset contains the number of captured individuals recorded for each amphibian species surveyed in all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota. While amphibians were the target of the surveys, reptiles (i.e., turtles, snakes) were also sometimes captured over the course of the surveys and are included in the data file.
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The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046-2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds. These data document the sources, values and ranges of selected input parameters used for PRMS simulations of streamflow for the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds in eastern and central Montana. This appendix is provided as part of the supplementary...


map background search result map search result map Appendix 1. Sources, values, and ranges for selected Precipitation-Runoff Modeling System parameters for the seven study watersheds in eastern and central Montana. Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Bathythermograph Data, Lake Michigan, 1954 Cottonwood Lake Study Area - Water Chemistry - Wetlands Cottonwood Lake Study Area - Water Chemistry - Wells Cottonwood Lake Study Area - Breeding Birds Cottonwood Lake Study Area - Amphibians Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050 Cottonwood Lake Study Area - Groundwater Elevations Drought Risk and Adaptation in the Interior (DRAI) Database of Interviews with DOI/Tribal land managers in northwest Colorado, southwest South Dakota, and Wind River Reservation in Wyoming, 2013-2016 Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data Land Use in the Dakotas 2006 Showing Major Crops Reported in Arora et al Ag Econ Submission Historical (1981-2005) vs. Projected (2031-’55) Yields Showing Major Crops and Models Reported in Arora et al Ag Econ Submission Coastal Uplands: Urbanization and Sea Level Rise Scenarios Freshwater Aquatics: Urbanization and Sea Level Rise Scenarios High Pine and Scrub: Urbanization and Sea Level Rise Scenarios Data supporting the study of Impacts of Downscaled Climate Model Selection on Projections of Maple Syrup Tapping Season Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP3 A1B 2080-99 scenario climate and 2017 land cover Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP5 RCP8.5 2071-99 scenario rainfall and 2017 land cover Cottonwood Lake Study Area - Water Chemistry - Wetlands Cottonwood Lake Study Area - Water Chemistry - Wells Cottonwood Lake Study Area - Breeding Birds Cottonwood Lake Study Area - Amphibians Cottonwood Lake Study Area - Groundwater Elevations Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050 Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP3 A1B 2080-99 scenario climate and 2017 land cover Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP5 RCP8.5 2071-99 scenario rainfall and 2017 land cover Appendix 1. Sources, values, and ranges for selected Precipitation-Runoff Modeling System parameters for the seven study watersheds in eastern and central Montana. Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Coastal Uplands: Urbanization and Sea Level Rise Scenarios Freshwater Aquatics: Urbanization and Sea Level Rise Scenarios High Pine and Scrub: Urbanization and Sea Level Rise Scenarios Historical (1981-2005) vs. Projected (2031-’55) Yields Showing Major Crops and Models Reported in Arora et al Ag Econ Submission Bathythermograph Data, Lake Michigan, 1954 Drought Risk and Adaptation in the Interior (DRAI) Database of Interviews with DOI/Tribal land managers in northwest Colorado, southwest South Dakota, and Wind River Reservation in Wyoming, 2013-2016 Land Use in the Dakotas 2006 Showing Major Crops Reported in Arora et al Ag Econ Submission Data supporting the study of Impacts of Downscaled Climate Model Selection on Projections of Maple Syrup Tapping Season Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data