Skip to main content
Advanced Search

Filters: Tags: habitat alteration (X)

31 results (70ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
thumbnail
Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
thumbnail
Brook trout is a species of conservation concern in the eastern US. In 2016, we evaluated brook trout movement patterns in response to food and cover treatments in an experimental stream system using RFID monitoring techniques at the USGS Leetown Science Center in Kearneysville, WV. Brook trout were tagged with 12mm HDX Passive Integrated Transponder (PIT) tags and monitored with Multi-Antenna HDX Readers within each experimental stream riffle. We collected associated data on stream temperature using HOBO temperature loggers (Onset Pro V2) and water quality parameters such as dissolved oxygen, conductivity and pH (YSI Professional Plus multiparameter instrument).
thumbnail
Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of 38-day nest survival were used for prediction at each 30 meter pixel across the landscape.
thumbnail
This CSV file contains cumulative fish habitat condition index (HCI) scores generated for river reaches of the conterminous United States as well as indices generated specifically for four spatial units including local and network catchments and 90 m local and network buffers of river reaches. Note that the cumulative HCI score is determined from limiting index scores generated for the four spatial units listed above. Detailed methods for calculating cumulative fish habitat condition index scores as well as the indices for each spatial extent can be found on the following website: http://assessment.fishhabitat.org/: The variables used to create indices in catchments vs. buffers differ due to differences in resolution...
Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: 2015 National Assessment, 2015 National Assessment, Alabama, Anthropogenic factors, Aquatic habitats, All tags...
thumbnail
Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
thumbnail
The data set consists of 12 input data rasters that cover San Diego County, California. These input rasters represent criteria used in a Pareto ranking algorithm in the manuscript. These include three rasters related to fire threats, three rasters related to habitat fragmentation threats, four rasters related to species biodiversity, and two rasters related to genetic biodiversity. (see the PLOS ONE paper for details). These data support the following publication: Tracey JA, Rochester CJ, Hathaway SA, Preston KL, Syphard AD, Vandergast AG, et al. (2018) Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management. PLoS ONE 13(9): e0200203. https://doi.org/10.1371/journal.pone.0200203
thumbnail
We assessed the impacts of co-occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA by analyzing the distribution and co-occurrence patterns of three invasive annual grasses known to alter fuel conditions and community structure: Red Brome (Bromus rubens), Cheatgrass (Bromus tectorum), and Mediterranean grass (Schismus spp.: Schismus arabicus and Schismus barbatus), and an invasive forb, red stemmed filaree (Erodium cicutarium) which can dominate postfire sites. The data provide the geographic location and abundance (percent cover) of the four invasive taxa throughout the Mojave Desert. We developed species distribution models (SDMs) for each of the...
thumbnail
This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season starting in 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, water currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin,...
thumbnail
Ranked index of model-projected nest site selection integrated with nesting productivity (i.e., nest survival), demonstrating the spatial distribution of adaptive vs. maladaptive habitat selection at each 30 m pixel. Hierarchical models of nest selection and survival were fit to landscape covariates within a Bayesian modeling framework in Nevada and California from 2009 through 2017 to develop spatially explicit information about nest site selection and survival consequences across the landscape. Habitat was separated into 16 classes ranking from high (1) to low (16). Habitat ranked highest where the top nest selection and survival classes intersected (adaptive selection), whereas the lowest rank occurred where...
thumbnail
This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey,...
The Gulf Coast Vulnerability Assessment utilized expert opinion that was gathered through the Standardized Index of Vulnerability and Value (SIVVA) tool, which is an Excel-based vulnerability and prioritization tool that enables assessors to provide input in a relatively short time and allows for relatively seamless compilation of results. The vulnerability of each ecosystem and associated species was conducted by subregion, excluding those subregions where the species did not occur in significant numbers. Assessors were asked to evaluate species based on the habitats they use in a particular subregion. Because vulnerability can vary with life-stage for many species, assessors were asked to consider the most vulnerable...
thumbnail
This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll,...
thumbnail
The dataset accompanies Figures 2–4 of Matchett and Fleskes (2018) and therein the subject data are referenced as "Table A1". Data summarize peak abundance (km2) of Central Valley waterbird habitats (i.e., wetland and flooded cropland types) that are available between August and April (of the following year) for each of 17 projected scenarios by planning basin, scenario, and habitat. Area of each habitat for each scenario-basin combination is provided for the month when the most area of the respective habitat is typically flooded and available for waterbird use (i.e., January for all wetlands and winter-flooded rice and corn, and September for other winter-flooded crops in Tulare Basin). The dataset also includes...
thumbnail
A hierarchical occupancy model adapted from Royle & Dorazio (2008) and Rota et al. (2011) for use in R. References: Royle, J.A. and Dorazio, R.M., 2008. Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities. Academic Press. doi:10.1016/B978-0-12-374097-7.50001-5 J. Andrew Royle, Robert M. Dorazio, Rota, C. T., Fletcher Jr, R. J., Dorazio, R. M. and Betts, M. G. (2009), Occupancy estimation and the closure assumption. Journal of Applied Ecology, 46: 1173-1181. doi:10.1111/j.1365-2664.2009.01734.x
thumbnail
This USGS Data Release represents geospatial and tabular data for the Gulf Coast Vulnerability Assessment Project. The data release was produced in compliance with the new 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Vulnerability assessment data for habitat and species based on expert opinion (Tabular datasets) 2. Vulnerability assessment values for species across subregions in study area (Vector GIS dataset)
thumbnail
Note these data were updated to Version 2. It is recommended to use Version 2, which can be found at https://doi.org/10.5066/P94C5B06. This CSV file contains cumulative fish habitat condition index (HCI) scores generated for river reaches of the conterminous United States as well as indices generated specifically for four spatial units including local and network catchments and 90 m local and network buffers of river reaches. Note that the cumulative HCI score is determined from limiting index scores generated for the four spatial units listed above. Detailed methods for calculating cumulative fish habitat condition index scores as well as the indices for each spatial extent can be found on the following website:...
thumbnail
Map of nesting habitat selection scores predicted from a resource selection function (RSF) developed from sage-grouse nest locations. Nest site selection was modeled using a generalized linear mixed model of used and random locations in a Bayesian modeling environment, and the midpoint of coefficient conditional posterior distributions were used for prediction. Continuous values were reclassified and ranked using a percent isopleth approach with respect to observed nest locations.


map background search result map search result map National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Indices with Limiting and Severe Disturbances for the Conterminous United States linked to NHDPlusV1 v2.0 Data for Gulf Coast Vulnerability Assessment Data for figures 2 - 4 (Table A1) Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Hierarchical Occupancy Model Code for R and Accompanying Files Brook trout movement data related to cover and forage in an experimental stream system with associated water quality parameters Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management." National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Indices and Limiting Disturbances for the Conterminous United States linked to NHDPlusV1 V1.0 Invasive plant cover in the Mojave Desert, 2009 - 2013 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Greater Sage-grouse Nest Survival, Nevada and California 2019 Greater Sage-grouse Nest Selection, Nevada and California 2019 Greater Sage-grouse Nest Site Source-Sink, Nevada and California 2019 Cladophora biomass and supporting data collected in the Great Lakes Brook trout movement data related to cover and forage in an experimental stream system with associated water quality parameters Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management." Data for figures 2 - 4 (Table A1) Invasive plant cover in the Mojave Desert, 2009 - 2013 Greater Sage-grouse Nest Selection, Nevada and California 2019 Greater Sage-grouse Nest Site Source-Sink, Nevada and California 2019 Greater Sage-grouse Nest Survival, Nevada and California 2019 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Cladophora biomass and supporting data collected in the Great Lakes Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Data for Gulf Coast Vulnerability Assessment Hierarchical Occupancy Model Code for R and Accompanying Files Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Indices and Limiting Disturbances for the Conterminous United States linked to NHDPlusV1 V1.0 National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Indices with Limiting and Severe Disturbances for the Conterminous United States linked to NHDPlusV1 v2.0