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The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
This paper reports on a project to compare predictions from a range of catchment models applied to a mesoscale river basin in central Germany and to assess various ensemble predictions of catchment streamflow. The models encompass a large range in inherent complexity and input requirements. In approximate order of decreasing complexity, they are DHSVM, MIKE-SHE, TOPLATS, WASIM-ETH, SWAT, PRMS, SLURP, HBV, LASCAM and IHACRES. The models are calibrated twice using different sets of input data. The two predictions from each model are then combined by simple averaging to produce a single-model ensemble. The 10 resulting single-model ensembles are combined in various ways to produce multi-model ensemble predictions....
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This metadata record documents 11 comma delimited tables representing the amount of reported best management practice (BMP) implementation for the years from 1985 to 2014 at three geographic scales: county or land-river modeling segment, River Input Monitoring (RIM) station drainage areas, and the entire Chesapeake Bay Watershed (CBWS). Data originated from the Chesapeake Bay Watershed jurisdictions including Maryland, Pennsylvania, Virginia, Delaware, New York, West Virginia, and the District of Columbia. Data were reported to the Chesapeake Bay Program for an annual review of progress toward meeting nitrogen, phosphorus, and sediment reduction goals.
This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Hopkins,...
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The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.
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Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
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This data release includes data and metadata on tree and shrub basal area as well as bird-mediated and passive seed rain for sites selected to have a range of understory cover under canopy trees (Metrosideros polymorpha and Acacia koa). It also includes seedling germination and survival data for a large-scale seed addition and grass removal experiment that varied both seed rain and grass cover. All sites were within Hakalau Forest National Wildlife Refuge on Hawaii Island. Broadly, this study asks what thresholds of seed rain and native and exotic plant cover are needed for passive forest regeneration.
This data release includes data and metadata on 1) avian diet 2) seed rain 3) understory plant composition 4) seedling abundance and 5) sampling locations for these sites. In addition it includes data on seedling abundance, grass cover and light levels for a grass removal/seed addition experiment . All sites were within Hakalau Forest National Wildlife Refuge on Hawaii Island. This study looked at multiple biotic interactions that potentially lead to self-reinforcing feedbacks within intact forest and degraded forest sites. Most of this study was done with sampling, however we also implemented an experiment in which we manipulated grass biomass and seed addition to specifically ask how these factors limit native...
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This data describes the coverage and composition of bryophytes and other ground cover within Hakalau Forest National Wildlife Refuge on Hawaii Island. This study aims to evaluate the role of bryophytes in seedling recruitment and thus forest regeneration in different forest types. We compared bryophyte composition and coverage between tree species (Acacia koa and Metrosideros polymorpha) and forest types (intact forest and restoration forest) and then sampled native woody seedling recruitment in the bryophytes as well as other ground covers, such as leaf litter, bare soil, and exotic grass.
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This data release includes sampling locations for the coverage and composition of bryophytes, other ground cover and seedling abundance. All sites were within Hakalau Forest National Wildlife Refuge on Hawaii Island. This study aims to evaluate the role of bryophytes in seedling recruitment and thus forest regeneration in different forest types. We compared bryophyte composition and coverage between tree species (Acacia koa and Metrosideros polymorpha) and forest types (intact forest and restoration forest) and then sampled native woody seedling recruitment in the bryophytes as well as other ground covers, such as leaf litter, bare soil, and exotic grass.
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Freshwater Introduction South of Highway 82 (ME-16) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Oyster Bayou Marsh Creation and Terracing (CS-59) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within...
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This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features...
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A subset of the Louisiana's 2017 Coastal Master Plan model output was used to estimate the potential climate mitigation role of Louisiana’s coastal area. Model output of surface water salinity, land/water classification, and area of eight habitats for elapsed years of 6, 11, 16, 26, and 36 were post-processed to estimate habitat areas at years of 2020, 2025, 2030, 2040, and 2050, that align with the Governor of Louisiana’s greenhouse gas reduction targets. In addition, the Louisiana coastal boundary and a static mask of upland and developed area were used to define the coastal area. The modeled habitat areas with literature review of net ecosystem carbon balance fluxes per habitat were used in an analytical framework...
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Coastal management decisions are complex and include challenging tradeoffs. Decision science offers a useful framework to address such complex problems. We illustrate the process with several coastal restoration studies. Our capstone example is based on a recent barrier island restoration assessment project at Dauphin Island, Alabama, which included the development of geomorphological and ecological models that forecast environmental changes over a 10 year time period from 2015 to 2025. The proposed framework aims to serve as a tool to assist coastal managers with the process of restoration. Specifically, we discuss the importance of considering concepts and techniques from ecology, coastal geology, geomorphology,...
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This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Whiskey Island. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM...
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Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Highway 384 Hydrologic Restoration (CS-21) project for 2015. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...


map background search result map search result map Chesapeake Bay Watershed 2011 Edition Land Cover Data Release Coastwide Reference Monitoring System (CRMS) 2015 land-water classifications Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification 1) Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014 Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification Ground and Bryophyte Coverage Bryophyte Sampling Location GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019 Hakalau Forest NWR seed rain, seedling, and plant data for 2017-2019 Light transmittance in experimental plots, Hakalau Forest, Hawaii, 2015 Freshwater Introduction South of Highway 82 (ME-16): 2018 land-water classification Oyster Bayou Marsh Creation and Terracing (CS-59): 2018 land-water classification February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Data from: Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area Louisiana Outer Coast Restoration Project – 2022 habitat map, Whiskey Island Oyster Bayou Marsh Creation and Terracing (CS-59): 2018 land-water classification Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Louisiana Outer Coast Restoration Project – 2022 habitat map, Whiskey Island Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification Ground and Bryophyte Coverage Bryophyte Sampling Location Hakalau Forest NWR seed rain, seedling, and plant data for 2017-2019 Light transmittance in experimental plots, Hakalau Forest, Hawaii, 2015 Freshwater Introduction South of Highway 82 (ME-16): 2018 land-water classification GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019 Coastwide Reference Monitoring System (CRMS) 2015 land-water classifications A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area 1) Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014 Chesapeake Bay Watershed 2011 Edition Land Cover Data Release Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States