6 datasets found
  1. g

    Model Output Tabular Summaries for Central Valley Water and Land Use...

    • gimi9.com
    Updated Nov 6, 2021
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    (2021). Model Output Tabular Summaries for Central Valley Water and Land Use Futures: Land Use Change, Flooded Area, and Flooded Habitat Change | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_model-output-tabular-summaries-for-central-valley-water-and-land-use-futures-land-use-chan
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    Dataset updated
    Nov 6, 2021
    Description

    To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State’s most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as-Usual scenario plus the four scenarios developed for the Central Valley Landscape Conservation Project, which diverged along two key themes: water availability and management for conservation. Scenarios varied by climate projection (hot and wet vs. warm and dry) and management priorities (wetland restoration rate, crop conversion rate, and prioritization of water for wetland and cropland habitats). Urbanization rates were the same for all scenarios. To model these scenarios, we integrated a hydrologic and water-use model (the Water Evaluation and Planning (WEAP) model, WEAP-CVwh, Matchett and Fleskes, 2017) with a land change model (the Land Use and Carbon Scenario Simulator, LUCAS, Wilson et al. 2020). The models produced annual maps of land use change and monthly maps of flooded habitat probability at 270-meter resolution, from 2011 to 2101 (Wilson et al. 2021). The scenarios were: Historical Business As Usual (HBAU) = historical water availability, historical management California Dreamin' (DREAM) = high water, good management Bad Business As Usual (BBAU) = high water, poor management Everyone Equally Miserable (EEM) = low water, good management Central Valley Dustbowl (DUST) = low water, poor management This data release contains three types of model output tabular summaries for four geographic areas: WEAP model zones, Sustainable Groundwater Management Act (SGMA) California Bulletin 118 groundwater sub-basins, Central Valley Joint Venture (CVJV) planning basins, and Central Valley regions. The datasets summarize 1) land use change for select land use/land cover classes, 2) area of likely flooded habitat, and 3) change in January flooded habitat area and its causes for the 5 future scenarios of managed waterbird habitat. The datasets were generated from the LUCAS model and the WEAP CVwh model as described in the parent manuscript. The full methods and results of this research are described in detail in the parent manuscript "Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley" (2021). These tabular summaries provide the underlying data behind the figures in the ESRI Story Map: Central Valley Water and Land Use Futures, https://wim.usgs.gov/geonarrative/centralvalleyfutures/ (Moritsch et al. 2021).

  2. d

    Florida Cooperative Geologic Mapping Project

    • dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 29, 2016
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    Bruce R. Wardlaw Thomas Cronin (2016). Florida Cooperative Geologic Mapping Project [Dataset]. https://dataone.org/datasets/f0bd1cfd-816f-47a0-8636-b996f80c0d6c
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Bruce R. Wardlaw Thomas Cronin
    Time period covered
    Oct 1, 1996 - Sep 30, 1999
    Area covered
    Description

    This project was designed to provide the framework for understanding (1) ecosystem variability and change prior to and during human development of South Florida (i.e., the detailed ecosystem history over the last 200 years, differentiating natural variability from man-made change) and (2) the resource distribution (primarily water and phosphate) in the subsurface of Florida (i.e., the detailed geology of constraining and resource units).

    The overall strategy is is to: 1. Sample modern environments throughout the Greater Everglades Ecosystem to understand the present ecosystem and locate undisturbed shallow sediment cores to analyze ecosystem variability and change over the last few hundred years.

    1. Analyze deep cores for sedimentology, diagenesis, biostratigraphy, paleoecology, and chemostratigraphy in transects across the southern Florida Peninsula to better understand the factors controlling ground water movement and to define aquifer characteristics. In order to understand the role of facies relationships and genetic depositional units in determining groundwater flow, the distribution and abundance of micro mollusks, foraminifers, dinocysts, ostracodes, pollen and spores, and charcoal will be analyzed, and strontium isotopes will be used for geochronology.
  3. Vegetation - State Vehicle Recreation Areas - 2020 [ds3194]

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 24, 2025
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    California Department of Fish and Wildlife (2025). Vegetation - State Vehicle Recreation Areas - 2020 [ds3194] [Dataset]. https://catalog.data.gov/dataset/vegetation-state-vehicle-recreation-areas-2020-ds3194
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    The California Department of Parks and Recreation contracted Geographical Information Center (GIC) to conduct vegetation sampling across multiple California State Vehicle Recreation Areas (SVRA). The purpose of this map is to characterize the vegetation in various SVRAs, which includes Alameda Tesla, Carnegie, Claypit, Heber Dunes, Hollister Hills, Hungry Valley, Oceano Dunes, Ocotillo Wells and Prairie City. The development of this vegetation map was prompted by the passage of Senate Bill 249, in which California Department of Parks and Recreation’s Off-Highway Motor Vehicle Recreation Division (OHMVRD) was charged with meeting new legislative mandates to ensure resources compliance within all SVRAs. These mandates require (among other things) that OHMVRD compile an inventory of native plant communities within each SVRA [PRC 5090.35 (c)(1)]. To meet this requirement, OHMVRD has consulted the California Department of Fish and Wildlife’s Vegetation Classification and Mapping Program (VegCAMP) to source finescale vegetation maps that cover the SVRA footprint, or, if not available, used the VegCAMP methods to develop new finescale vegetation maps. This finescale vegetation map and associated data is intended to provide an inventory of native plant communities, inform the park’s natural resource management planning including the Wildlife Habitat Protection Plan (WHPP), and establish a baseline for measuring future vegetation change. About the individual SVRAs: Alameda Tesla: The finescale vegetation map for the Alameda Tesla area was created in 2021-2022 using CDFW's VegCAMP standard methods. At the time of surveying, this parcel was part of Carnegie SVRA and was sampled and analyzed together with that project, as part of informing the Carnegie SVRA Wildlife Habitat Protection Plan. However, after the legal separation of these two units in 2021, the mapping projects have also been separated. Carnegie: The finescale vegetation map for Carnegie SVRA was created in 2021-2022 for the park's Wildlife Habitat Protection Plan, using CDFW's VegCAMP standard methods. Field surveys were conducted in 2021. This mapping effort was part of a larger project within the Off Highway Motor Vehicle Division of State Parks to create updated vegetation maps and an inventory of native plant communities for each SVRA. When the project began in 2021, Carnegie SVRA and the adjacent Alameda-Tesla area were sampled and analyzed together. However, because of the legal the separation of these two units in 2021, the mapping projects were separated Clay Pit: Clay Pit SVRA is a small, 220-acre park in unincorporated Butte County, three miles southwest of Oroville. It consists of a narrow terrace surrounding a large bowl-shaped depression that was excavated for clay substrate to use in the construction of the Oroville Dam. It was a popular unofficial off-highway vehicle (OHV) riding area, and became an SVRA in 1981. The entire park is designated as open riding, except for an exclusion zone where a drainage canal flows through the park and into the Feather River oxbow. The park frequently floods from rainfall in wet months, and dries out in the summer. Because of the clay substrate, the shallow depressions formed from OHV use create vernal pools in the spring, providing habitat for native vernal pool plant species and branchiopod species. However, due to the history of disturbance and lack of original topography, many species at the park are ruderal non-natives. Heber Dunes: Heber Dunes SVRA is a small, 364-acre park in unincorporated Imperial County, seven miles northeast of Calexico, and is surrounded by agricultural fields, irrigation canals, and an undeveloped parcel owned by California Department of Transportation (CalTrans). It consists of open sand dunes, planted athel tamarisk (Tamarix aphylla) trees, and native and exotic desert scrub vegetation. The entire park is designated as open riding for off-highway vehicles. Hollister Hills: Hollister Hills SVRA is a 6,750 acre park located in northwest San Benito County, eight miles south of the city of Hollister. It is situated within the Gabilan Range of the California Coast ranges, in an area surrounded by primarily by rangelands. Hungry Valley: Hungry Valley SVRA is a 19,800 acre park within the Transverse Mountain Ranges, just south of Tejon Pass and the town of Gorman. The park is surrounded by National Forest land and by Tejon Ranch. Before becoming a SVRA in 1980, the park had a history of homesteading, mining, and unofficial OHV use. Oceano Dunes: This finescale vegetation map for Oceano Dunes SVRA was created to inform the park's Wildlife Habitat Protection Plan, using CDFW's VegCAMP standard methods. Field surveys were conducted in May 2022 by Chico State Geographic Information Center. Linework was conducted by Chico State Geographic Information Center. State Park staff provided edits to the draft map before it was finalized in 2023. An existing finescale map of the park was completed in 2013 (field surveys done in 2012) by MIG, report available here: https://nrm.dfg.ca.gov/documents/ContextDocs.aspx?cat=VegCAMP. Since vegetation in this park shifts frequently, and since large restoration projects have been conducted since the previous mapping effort, it was determined that an update to the map was needed. Chico State's Geographic Information Center (GIC) sampled the park in 2022 and conducted the linework to create this updated finescale vegetation map, with input from State Park staff. Vegetation was classified using a draft classification for the Santa Cruz-Santa Clara counties project, and by consulting with CDFW staff. Since GIC was also sampling and mapping other central coast State Parks in the region at the same time, the data for Pismo Beach is included here. Ocotillo Wells: This vegetation map was created in 2022-2023 to meet the above requirements and inform the Ocotillo Wells Wildlife Habitat Protection Plan. It was created by combining the existing maps from the DRECP mapping project 2016-2017 additions (Reyes et al.2021), and the Anza Borrego (1998) mapping project (See the VegCAMP website). State park staff including Melissa Patten, Leah Gardner, and Casey Paredes, conducted 25 recon surveys and additional map checks in March 2022 to groundtruth some areas, with a focus on the footprint of the older Anza Borrego project. Linework to edit the Anza Borrego project footprint area was done in 2023 using information from field surveys, and heads-up digitizing of NAIP 2020 imagery. Surveys conducted by State Parks staff in March 2022 focused on the Anza Borrego project footprint within the park, and then linework was done to update the vegetation polygons based on field surveys and 2020 NAIP aerial imagery. Prairie City: Prairie City SVRA is a 1,344 acre park located 20 miles east of Sacramento, in an ecological transition zone between the Central Valley and the Sierra foothills. Parts of the park have a history of dredge mining, and mine tailings form mounds and undulating topography in places. Other portions of the current park were formerly owned by Aerojet and used for a rocket engine program, contaminating groundwater and resulting in modern remediation and groundwater treatment efforts in the park, including monitoring and extraction wells. The imagery interpreted was NAIP 2020No accuracy assessment was done because almost all polygons were visited in the field. Minimum Mapping Units: Alameda Tesla, Carnegie, Heber Dunes, Hollister Hills, Hungry Valley, Prairie City.: The minimum mapping unit was 1 acre for upland vegetation types and ¼ acre for wetland vegetation types. Polygons were divided based on a change in cover class according to Braun-Blanquet categories (<1%, 1-5%, >5-15%, >15-25%, >25-50%, >50-75%, >75%). Breaks for the dominant overstory vegetation cover class required a 3-acre minimum mapping unit, and breaks for understory vegetation cover class required a 5-acre minimum mapping unit. Claypit: The minimum mapping unit was 1 acre, and ¼ acre for wetland or special types, which at the park includes only two small riparian stands and one patch of perennial grassland. The herbaceous stands that compose most of the park were split according to cover, but there was no maximum mapping unit size. Ocotillo Wells, Oceano Dunes: No minimum mapping unit was reported. Imagery: NAIP 2020 imagery was used for all SVRAs.

  4. d

    Detailed geologic mapping geodatabase for the Blue Ridge Parkway in Virginia...

    • search.dataone.org
    Updated Apr 13, 2017
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    U.S. Geological Survey (2017). Detailed geologic mapping geodatabase for the Blue Ridge Parkway in Virginia [Dataset]. https://search.dataone.org/view/350f54c4-b6ff-433b-9137-e5865c997ba4
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    U.S. Geological Survey
    Time period covered
    Jan 1, 2009 - Jan 1, 2014
    Area covered
    Description

    The US Geological Survey, in cooperation with the National Park Service, mapped 35 7.5-minute quadrangles, within a 2-mile-wide+ corridor centered on the Parkway, from BLRI (Blue Ridge Parkway) Mile Post (MP) 0 near Afton, Virginia southward to MP 218 at Cumberland Knob, approximately 1.3 km south of the Virginia – North Carolina State Line. Detailed bedrock geologic mapping for this project was conducted at 1:24,000-scale by systematically traversing roads, trails, creeks, and ridges within and adjacent to the 2-mile-wide+ corridor along the 216.9-mile length of the BLRI in Virginia. Geologic data at more than 23,000 station points were collected during this project (September 2009 – February 2014), with approximately 19,500 included in the accompanying database. Station point geologic data collected included lithology, structural measurements (bedding, foliations, folds, lineations, etc), mineral resource information, and other important geologic observations. Station points at the start of this project (September 2009) were located in the field using topographic reckoning; after May 2012 stations were located using Topo Maps (latest version 1.12.1) for Apple IPad 2, model MC744LL/A. Since the start of the project, station point geologic data and locational metadata were recorded both in analog (field notebook and topographic field sheets) and digitally in ESRI ArcGIS (latest version ArcMAP 10.1). Station point geologic data were used to identify major map units, construct contact lines between map units, identify the nature of those contacts (igneous, stratigraphic or structural), determine contact convention control (exact – located in field to within 15 meters; approximate – located to within 60 meters; inferred – located greater than 60 meters), trace structural elements (faults, fold axes, etc) across the project area, and determine fault orientation and kinematics. Geologic line work was initially drafted in the field during the course of systematic detailed mapping; line editing occurred during office compilation in Adobe Illustrator (latest version CS 4). Final editing occurred during conversion and compilation of Illustrator line work into the ArcGIS database, where it was merged with station point geologic data. Station point geologic data, contacts and faults from previous work in the BLRI corridor were evaluated for compilation and synthesis in the BLRI mapping project. Station point geologic data compiled from previous work are referenced and marked with a “C” in the database. Compiled line work is also clearly tagged and referenced. The BLRI cuts at an oblique angle nearly the entire width of the Blue Ridge Geologic Province in Virginia. Thus, the geology varies significantly along it’s along its 216-mile traverse. North of Roanoke (BLRI MP 115), the Blue Ridge is defined as an orogen-scale, northwest-vergent, northeast-plunging reclined anticlinorium, and from its start at MP 0 near Afton, Virginia, southward to Roanoke, the BLRI traverses the western limb of this structure. Here, rocks range in age from Mesoproterozoic to Cambrian: Mesoproterozoic orthogneisses and metamorphosed granitoid rocks of the Shenandoah massif comprise “basement” to Neoproterozoic to Cambrian mildy- to non-metamorphosed to sedimentary “cover” rocks; the BLRI crisscrosses in many places the contact between cover and basement. Mesoproterozoic basement rocks in the Shenandoah massif represent the original crust of the Laurentian (ancestral North American) continent; sedimentary cover rocks were deposited directly on this crust during extension and breakup of the Rodinian supercontinent in the Neoproterozoic to earliest Cambrian. Very locally, diabase dikes of earliest Jurassic age intrude older basement and cover sequences. These dikes were emplaced in the Blue Ridge during continental extension (rifting) and the opening of the Atlantic Ocean in the Mesozoic Era. From MP 103.3 to MP 110.3 near Roanoke, the BLRI crosses into and out of a part of the Valley and Ridge Geologic Province. Unmetamorphosed sedimentary rocks of Cambrian to Ordovician age – mostly shale, siltstone and carbonate – occur here. These rocks were deposited in a terrestrial to shallow marine environment on the Laurentian continental margin, after extensional breakup of Rodinian supercontinent in the Neoproterozoic and earliest Cambrian, but before mid- to late-Paleozoic orogenesis. South of Roanoke, the Blue Ridge Geologic Province quickly transitions from an anticlinorium to a stack of imbricated thrust sheets. After crossing the southern end of the Shenandoah Mesoproterozoic basement massif (MP 124.1 to MP 144.4), the BLRI enters the eastern Blue Ridge province, a fault-bounded geologic terrane comprised of high-metamorphic-grade sedimentary and volcanic rocks deposited east of the Laurentian continental margin from t... Visit https://dataone.org/datasets/350f54c4-b6ff-433b-9137-e5865c997ba4 for complete metadata about this dataset.

  5. O

    Willamette Valley Wetland Priority Sites

    • data.oregon.gov
    • geohub.oregon.gov
    • +3more
    csv, xlsx, xml
    Updated Jan 29, 2025
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    (2025). Willamette Valley Wetland Priority Sites [Dataset]. https://data.oregon.gov/dataset/Willamette-Valley-Wetland-Priority-Sites/x8it-wtcm
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jan 29, 2025
    Area covered
    Willamette Valley
    Description

    Wetland Priority Sites for the Willamette Valley Basin, Version 20090812 (Aug 12, 2009) Oregon Natural Heritage Information Center and The Wetlands Conservancy (TWC) have created a GIS layer for the Willamette Valley that identifies areas with concentrations of important wetland habitats and opportunities for successful wetland restoration. The map is intended to assist conservationists, private landowners, and policymakers in choosing where to site projects for wetland conservation, restoration, mitigation, and enhancement. It will help focus wetland work in the most important places, support no net less of wetland values or acres, and build on past or ongoing project locations. The data is a component of the Oregon Wetlands Explorer website, a collaborative project funded by EPA.

    Rev 20090812. Synchronization with near-finalized Willamette Valley Synthesis coverage by The Nature Conservancy (TNC). Modified Site Names, attempting to be consistent with TNC's Willamette Valley Synthesis naming. Rev 20090715. Incorporated feedback from provisional version sent out for review in March 2009. The map is based on The Nature Conservancy (TNC) Willamette Synthesis project, with subsequent adjustments and additions made by OSU and The Wetlands Conservancy. The Willamette Synthesis represents a two-year effort that integrates (1) TNC's portfolio sites identified by ecoregional planning (2), ODFW's Conservation Opportunity Areas from their Oregon Conservation Strategy, (3) NRCS hydric soils mapping, (4) FEMA floodplain mapping, (5) Army Corps of Engineers historical floodway maps, and (6) Oregon's Greatest Wetlands as identified by The Wetlands Conservancy and OSU, discussed further below; and a number of other sources detailed in http://oregonstate.edu/ornhic/transfer/wv_synthesis_draft_methods.zip. The Wetlands Conservancy (TWC) and Oregon Natural Heritage Information Center (ORNHIC) developed an "Oregon's Greatest Wetlands" layer, identifying areas in the state having wetlands of significant conservation interest. The "Oregon's Greatest Wetlands" areas were included in the initial Synthesis Site layer. In 2008, TWC and ORNHIC analyzed historic (pre-settlement) vegetation reconstructions, hydric soil densities, and current wetland densities (using National Wetland Inventory and Local Wetland Inventory data where available) that were within the Willamette Valley Ecoregion synthesis sites identified by The Nature Conservancy. The sites were further filtered with information obtained from various Agency and NGO conservation plans. We then reduced in size, or eliminated, WVER synthesis sites based on this analysis. Brief reasoning for the site selection is provided in the Motiv attribute. To improve the focus on wetlands, OSU and TWC then removed the larger upland portions (e.g., oak savanna and woodland, upland prairie) from the Synthesis map, and included additional wetland information based on conservation data, restoration opportunities, and cluster analysis of USFWS National Wetlands Inventory mapping. The lower portion of the Sandy River watershed is located in the Level III Willamette Valley Ecoregion. As such, it was included in the TNC Willamette Synthesis project, even though it is not strictly part of the Willamette Basin. We thus include wetland priority sites for the Sandy River watershed in this dataset.

  6. SGMA Climate Change Resources

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    csv, pdf, xlsx, zip
    Updated Oct 16, 2023
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    California Department of Water Resources (2023). SGMA Climate Change Resources [Dataset]. https://data.ca.gov/dataset/sgma-climate-change-resources
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    zip, pdf, xlsx, csvAvailable download formats
    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Description

    This dataset includes processed climate change datasets related to climatology, hydrology, and water operations. The climatological data provided are change factors for precipitation and reference evapotranspiration gridded over the entire State. The hydrological data provided are projected stream inflows for major streams in the Central Valley, and streamflow change factors for areas outside of the Central Valley and smaller ungaged watersheds within the Central Valley. The water operations data provided are Central Valley reservoir outflows, diversions, and State Water Project (SWP) and Central Valley Project (CVP) water deliveries and select streamflow data. Most of the Central Valley inflows and all of the water operations data were simulated using the CalSim II model and produced for all projections.

    These data were originally developed for the California Water Commission’s Water Storage Investment Program (WSIP). The WSIP data used as the basis for these climate change resources along with the technical reference document are located here: https://data.cnra.ca.gov/dataset/climate-change-projections-wsip-2030-2070. Additional processing steps were performed to improve user experience, ease of use for GSP development, and for Sustainable Groundwater Management Act (SGMA) implementation. Furthermore, the data, tools, and guidance may be useful for purposes other than sustainable groundwater management under SGMA.

    Data are provided for projected climate conditions centered around 2030 and 2070. The climate projections are provided for these two future climate periods, and include one scenario for 2030 and three scenarios for 2070: a 2030 central tendency, a 2070 central tendency, and two 2070 extreme scenarios (i.e., one drier with extreme warming and one wetter with moderate warming). The climate scenario development process represents a climate period analysis where historical interannual variability from January 1915 through December 2011 is preserved while the magnitude of events may be increased or decreased based on projected changes in precipitation and air temperature from general circulation models.

    2070 Extreme Scenarios Update, September 2020

    DWR has collaborated with Lawrence Berkeley National Laboratory to improve the quality of the 2070 extreme scenarios. The 2070 extreme scenario update utilizes an improved climate period analysis method known as "quantile delta mapping" to better capture the GCM-projected change in temperature and precipitation. A technical note on the background and results of this process is provided here: https://data.cnra.ca.gov/dataset/extreme-climate-change-scenarios-for-water-supply-planning/resource/f2e1c61a-4946-4863-825f-e6d516b433ed.

    Note: the original version of the 2070 extreme scenarios can be accessed in the archive posted here: https://data.cnra.ca.gov/dataset/sgma-climate-change-resources/resource/51b6ee27-4f78-4226-8429-86c3a85046f4

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    Learn how you can add new datasets to our index.

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(2021). Model Output Tabular Summaries for Central Valley Water and Land Use Futures: Land Use Change, Flooded Area, and Flooded Habitat Change | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_model-output-tabular-summaries-for-central-valley-water-and-land-use-futures-land-use-chan

Model Output Tabular Summaries for Central Valley Water and Land Use Futures: Land Use Change, Flooded Area, and Flooded Habitat Change | gimi9.com

Explore at:
Dataset updated
Nov 6, 2021
Description

To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State’s most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as-Usual scenario plus the four scenarios developed for the Central Valley Landscape Conservation Project, which diverged along two key themes: water availability and management for conservation. Scenarios varied by climate projection (hot and wet vs. warm and dry) and management priorities (wetland restoration rate, crop conversion rate, and prioritization of water for wetland and cropland habitats). Urbanization rates were the same for all scenarios. To model these scenarios, we integrated a hydrologic and water-use model (the Water Evaluation and Planning (WEAP) model, WEAP-CVwh, Matchett and Fleskes, 2017) with a land change model (the Land Use and Carbon Scenario Simulator, LUCAS, Wilson et al. 2020). The models produced annual maps of land use change and monthly maps of flooded habitat probability at 270-meter resolution, from 2011 to 2101 (Wilson et al. 2021). The scenarios were: Historical Business As Usual (HBAU) = historical water availability, historical management California Dreamin' (DREAM) = high water, good management Bad Business As Usual (BBAU) = high water, poor management Everyone Equally Miserable (EEM) = low water, good management Central Valley Dustbowl (DUST) = low water, poor management This data release contains three types of model output tabular summaries for four geographic areas: WEAP model zones, Sustainable Groundwater Management Act (SGMA) California Bulletin 118 groundwater sub-basins, Central Valley Joint Venture (CVJV) planning basins, and Central Valley regions. The datasets summarize 1) land use change for select land use/land cover classes, 2) area of likely flooded habitat, and 3) change in January flooded habitat area and its causes for the 5 future scenarios of managed waterbird habitat. The datasets were generated from the LUCAS model and the WEAP CVwh model as described in the parent manuscript. The full methods and results of this research are described in detail in the parent manuscript "Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley" (2021). These tabular summaries provide the underlying data behind the figures in the ESRI Story Map: Central Valley Water and Land Use Futures, https://wim.usgs.gov/geonarrative/centralvalleyfutures/ (Moritsch et al. 2021).

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