Filters: Tags: species distribution (X) > Date Range: {"choice":"year"} (X)
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This USGS data release documents species distribution models for 271 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the COMID to create a spatial depiction of the models. The primary results are stored in the file "BRT Predictions" and are provided in comma separated value (CSV) and Parquet file formats. Parquet file format...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
United States of America,
aquatic biology,
biogeography,
biota,
These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time period, spanning from 2009 through 2019. The model is run in JAGS via R, the code is publicly available via the U.S. Geological Survey's GitLab (O'Neil et al. 2023). We recommend not making any changes or edits to the tables unless the user is experienced with hierarchical modeling. References: O'Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, Code for a hierarchical model of raven densities linked with sage-grouse nest survival...
Forest patches, minimum size - 1 acre, within the Mississippi River Basin, derived from the 2011 National Land Cover Dataset and used to evaluate landscape context of riparian cropland.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
agriculture,
birds,
conservation,
conservation delivery,
This data is a companion to the manuscript titled "Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird". Advances in both remote sensing and analytical tools for spatial data have allowed for the integration of dynamic processes into species distribution models. We developed a spatiotemporal model of breeding habitat use and density for a federally threatened shorebird (piping plover, Charadrius melodus) by integrating a 20-year (2000 – 2019) nesting dataset with opportunistic, volunteer collected (eBird), sightings. Piping plovers are an ideal candidate for dynamic habitat models because this species depends on habitat created and maintained by highly variable...
The publication "Invaders from Islands: Thermal Matching, Potential, or Plasticity?" is comprised of data derived from multiple datasets. These datasets include climatic and temperature variables used in ecological niche models for predicting suitable habitat for Leiocephalus carinatus in its invaded and native ranges. Also included are thermal tolerance measurements assessed in March 2020 for Leiocephalus carinatus from Key Largo and Cocoa Beach, Florida, USA. Additionally, we include weatherstation data for local minimum and maximum ambient temperatures for the experimentally assessed populations at short (months) and long (decades) timescales. The dataset "curly_thermal_limits" describes thermal tolerance data...
These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is...
Successful conservation strategies in the face of climate change will require careful consideration of how changing climate will affect wildlife and habitats. Development of innovative, data-driven, accessible tools will assist in understanding and planning for those effects. This project was funded to (1) develop climate envelope models and associated prediction maps for 26 federally threatened and endangered terrestrial (T&E) vertebrate species occurring in peninsular Florida, (2) provide a technical guidebook for use and interpretation of climate envelope models, (3) develop visualization and social networking tools that will allow natural resource managers and the general public to view our models, and (4) create...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Applications and Tools,
Climate change,
Climate envelope models,
Completed,
Conservation planning,
Base data layers (e.g., land cover, imagery and boundaries.) intended to orient users of the Multi-LCC Mississippi River Basin/Gulf Hypoxia Initiative’s Conservation Blueprint.
Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian hierarchical distance sampling model, using environmental covariates on detection and abundance.
This project modeled the effects of future climate change on bird distributions and their status in the lower 48 states. Its goal was to examine more than 600 species of birds and produce more than 100 predictive scenarios for each species, resulting in more than 600,000 data layers for birds. The purpose of the project was to provide information critical to the design and implementation of management and conservation strategies that could be used by all Landscape Conservation Cooperatives.
The Golden-winged Warbler Focal Area represents an area of interest pertaining to the Golden-winged Warbler under the U.S. Department of Agriculture (USDA), Natural Resources Conservation Service (NRCS) Working Lands for Wildlife (WLFW) Wildlife Habitat Incentive Program (WHIP). Working Lands for Wildlife is a partnership between NRCS and the U.S. Fish and Wildlife Service (FWS) to use agency technical expertise and financial assistance from the Wildlife Habitat Incentive Program to combat the decline of seven specific wildlife species whose decline can be reversed and will benefit other species with similar habitat needs. The WLFW project will target species whose decline can be reversed and will benefit other...
These data are comprised of geo-located breeding season occurrences of Blue-winged Warblers (Vermivora cyanoptera) and Golden-winged Warblers (Vermivora chrysoptera) in North America, 1963-2021. These data were collated from eBird (Cornell Lab of Ornithology) and the North American Breeding Bird Survey (US Geological Survey).
Categories: Data;
Tags: Biological Occurrence,
North America,
USGS Science Data Catalog (SDC),
Vermivora,
Wildlife Biology,
Biodiversity is declining worldwide, and this trend could potentially become more severe as climate conditions change. An integral component of proactive adaptive management planning requires forecasts of how changes in climate will affect individual species. This need has been identified my multiple federal agencies, including the U.S. Fish and Wildlife Service, National Park Service, Bureau of Land Management, and U.S. Forest Service. The goal of this project was to assist land and wildlife managers in anticipating which species are most vulnerable to changes in climate in the Southwest, and how resources can best be invested to facilitate adaptation. Researchers evaluated the current and future breeding ranges...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ,
Birds,
Birds,
CA,
To develop effective adaptive management plans, conservation and natural resource managers need to know how climate change will affect the species and ecosystems they manage. This project provides managers with information about potential climate change effects on species and managed areas in the Pacific Northwest. We evaluated projected changes in climate, vegetation, and species distributions through the year 2099 and assessed the potential impacts of these changes on key species and managed lands. We worked with conservation and natural resource managers to incorporate the results of this study into state, federal, and non-governmental organization (NGO) management plans. The projected changes in climate, vegetation,...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2009,
CASC,
Climate change,
Climate modelling,
Completed,
These maps were developed to support an effort to understand the spatial characteristics of piping plover (Charadrius melodus) nesting habitats. The maps show the expected nesting habitat distributions and piping plover intensity between 2000 and 2021 in the U.S. Prairie Pothole Region.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Ecology,
Montana,
Nests,
North Dakota,
Remote Sensing,
Parent Project: Range-Wide Climate Vulnerability Assessment for Threatened Bull Trout Publication Abstract: Forecasts of species distributions under future climates are inherently uncertain, but there have been few attempts to describe this uncertainty comprehensively in a probabilistic manner. We developed a Monte Carlo approach that accounts for uncertainty within generalized linear regression models (parameter uncertainty and residual error), uncertainty among competing models (model uncertainty), and uncertainty in future climate conditions (climate uncertainty) to produce site-specific frequency distributions of occurrence probabilities across a species’ range. We illustrated the method by forecasting suitable...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Fish,
Northwest CASC,
Rivers, Streams and Lakes,
Salvelinus confluentus,
We combined approximately 28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density using a Bayesian hierarchical distance sampling approach with environmental covariates on detection and abundance. Concurrently, we modeled sage-grouse nest survival using a hierarchical frailty model as a function of raven density as well as other environmental covariates that influence risk of failure. Raven density commonly exceeded more than 0.5 ravens per square kilometer and increased at low relative elevations with prevalent anthropogenic development and/or agriculture. Reduced sage-grouse nest survival was strongly...
Fire is critical to maintaining and restoring temperate ecosystems in the South Central U.S. As precipitation patterns and temperatures change in the region, managers require information on how these changes will impact fire frequency, and thus the species and ecosystems within the landscape. To address this need, researchers will use climate model data to predict and map future changes in fire frequency for Texas, Oklahoma, and New Mexico. Researchers will then examine species and ecosystem distribution data to understand the relationship between climate, fire frequency, and species occurrence. This analysis will enable researchers to identify potential future distributions of woody ecosystems and species such...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
We propose to identify future risk of wildlife population decline for species inhabiting the Rio Grande, New Mexico. Specifically, we will examine and quantify the interactive effect of fire and climate change on the presence and long-term persistence of native and nonnative species in residing within Rio Grande riparian and wetland habitats. We will build upon recent species vulnerability assessment work conducted for the Rio Grande and incorporate new data and model output regarding fire behavior under different climate scenarios. Predictions for future species distributions will be coupled with scores representing species adaptive capacity to quantify vulnerability to changing climate and disturbance regimes....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Applications and Tools,
Conservation NGOs,
Conservation Planning,
Federal resource managers,
GIS,
Gap Analysis Project (GAP) habitat maps are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Mapped areas represent places where the environment is suitable for the species to occur (i.e. suitable to support one or more life history requirements for breeding, resting, or foraging), while areas not included in the map are those predicted to be unsuitable for the species. While the actual distributions of many species are likely to be habitat limited, suitable habitat will not always be occupied because of population dynamics and species interactions. Furthermore, these maps correspond to midscale characterizations of landscapes,...
Categories: Data,
Map;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biodiversity and Ecosystems Theme,
NGDA,
National Geospatial Data Asset,
USGS Science Data Catalog (SDC),
United States,
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