Filters: Tags: adaptive management (X) > partyWithName: U.S. Geological Survey (X)
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wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run...
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,...
Categories: Data;
Tags: Adaptive Management,
Aquatic Biology,
Barrier Island,
Climatology,
Dauphin Island, Alabama,
This data set was collected as part of a structured decision-making workshop designed to identify sources of uncertainty and articulate alternative hypotheses about prescribed fire in high marshes of the Gulf of Mexico. Workshop participants independently scored alternative hypotheses based on a standard rubric using an online system. Following the workshop, we used the scores to compute QVoI for each participant. We used QVoI to prioritize the sources of uncertainty based on their magnitude of uncertainty, relevance for decision making, and reducibility.
Categories: Data;
Tags: Ecology,
Gulf of Mexico,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Biology,
nv_lvl6_coarsescale: Nevada hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
Wyoming,
wy_lvl8_coarsescale: Wyoming hierarchical cluster level 8 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bayesian network,
Florida,
Gulf of Mexico,
adaptive management,
beach mouse,
This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice...
wy_lvl1_finescale: Wyoming hierarchical cluster level 1 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
wy_lvl4_moderatescale: Wyoming hierarchical cluster level 4 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
wy_lvl5_coarsescale: Wyoming hierarchical cluster level 5 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
These datasets were compiled during the development and application of an adaptive management framework for the conservation and recovery of Eastern Black Rails in the Atlantic Coast Joint Venture Region. The study is conducted in cooperation with the Eastern Black Rail Working Group of the Atlantic Coast Joint Venture. U.S. Geological Survey and the Atlantic Coast Joint Venture are working with partners to test alternative methods of manipulating coastal marsh and other wetland habitats to make them suitable for Black Rails with the long-term goal of stabilizing or reversing population declines. The objectives of this project are to develop an adaptive management framework that allows wetland managers to reduce...
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bayesian network,
Florida,
Gulf of Mexico,
adaptive management,
beach mouse,
The eastern black rail (Laterallus jamaicensis jamaicensis; hereafter rail) is a small, cryptic marshbird that was recently listed as threatened under the U.S. Endangered Species Act. We organized a rapid prototyping workshop to initiate development of an adaptive management for rails on the Atlantic Coast. The in-person workshop spanned 2.5 days and was held in Titusville, Florida in January 2020. Workshop participants, comprised of species experts and land managers of rail habitats, chose to focus the framework on testing habitat management techniques to maximize rail occupancy, in which uncertainties could be reduced through a combination of field management experiments and coordinated monitoring. We used the...
Categories: Data;
Tags: Ecology,
Laterallus jamaicensis jamaicensis,
Mid Atlantic,
North Atlantic,
South Atlantic,
nv_lvl7_coarsescale: Nevada hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
adaptive management,
nv_lvl2_finescale: Nevada hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
Nevada,
United States,
adaptive management,
wy_lvl6_coarsescale: Wyoming hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Centrocercus urophasianus,
Greater sage-grouse,
United States,
Wyoming,
adaptive management,
U.S. Geological Survey and partners are testing the effects of prescribed fire on Black Rails, Yellow Rails, and Mottled Ducks in the high marsh habitats of the northern Gulf of Mexico region. The study is conducted in cooperation with Mississippi State University, Illinois Natural History Survey, U.S. Fish and Wildlife Service, state agencies, universities, and non-governmental organizations. The objectives of this project are to develop an adaptive management framework that allows land managers to reduce our uncertainty about the effects of prescribed fire on these species and the habitats on which they depend, and give managers tools and information that will help them determine the best management actions to...
The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the U.S. Fish and Wildlife Service (USFWS), U.S. Army Corps of Engineers, University of Georgia, and their conservation partners to support adaptive management of Gulf Sturgeon (Acipenser oxyrinchus desotoi) by developing a quantitative, spatial model. The model is a Bayesian network that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in estuarine critical habitat. The model predicts habitat availability (days) for 75 alternative physiological and habitat...
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