Filters: Tags: invasive species (X) > Date Range: {"choice":"month"} (X)
24 results (22ms)
Filters
Date Types (for Date Range)
Types Contacts
Categories Tag Types
|
The Rio Grande cutthroat trout is New Mexico’s state fish; but habitat loss and non-native trout invasions threaten the persistence of this fish throughout the remaining 12% of its historic range. Stakeholders, including state agencies, federal agencies, Tribal nations, Pueblos, and private groups are particularly concerned about the impact that non-native brown trout have on native cutthroat trout. This project will be the first to demonstrate how non-native brown trout negatively affect Rio Grande cutthroat trout populations. The project has two primary objectives: 1) compare the health and characteristics of native Rio Grande Cutthroat Trout in areas both with and without invasive brown trout in cold and warm...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Completed,
Fish,
Fish,
The data consists of survival, length and weight of grass carp and black carp gavaged with an oral dose of antimycin A in two carriers, corn oil and ethanol.
Invasive species have increasingly severe consequences for ecosystems and human communities alike. The ecological impacts of invasive species are often irreversible, and include the loss of native species and the spread of disease. Implications for human communities include damaged water transportation systems, reduced crop yields, reduced forage quality for livestock, and widespread tree death - which can lead to increases in wildfire and loss of biodiversity. Changing climate conditions may facilitate the spread of invasive species, making this a key management and conservation concern across the United States. This project will synthesize what we know about how climate change impacts the spread of invasive...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2017,
Aquatic,
Birds,
Birds,
CASC,
The headwaters of the Columbia River Basin in the Northern Rocky Mountains region is widely recognized as a stronghold for native fish, containing some of the last remaining connected cold-water habitats for species such as the threatened bull trout and native westslope cutthroat trout. However, as temperatures rise, non-native invasive fish species could be poised to prosper in the region as conditions start to favor warm-water species over those that require cooler waters to thrive. The spread of invasive fish species has the potential to devastate native fish populations, stream habitats, and the local cultures and economies that depend on healthy aquatic ecosystems – including the region’s multi-billion dollar...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Climate change,
Completed,
Data Visualization & Tools,
Yes, all data values are reasonable and within the valid range for measurement. The data release consists of 15 tabular data files (csv). These data were compiled to compare patterns and potential drivers of leaf litter decomposition in the Colorado River downstream of Glen Canyon Dam between 1998 and 2022. Objective(s) of our study were to compare the breakdown of cottonwood (Populus fremontii), willow (Salix exigua), and salt cedar (Tamarix chinensis) leaves to a previous decomposition experiment from 1998 (Pomeroy et al. 2000) that was conducted in the context of much cooler water temperatures, higher phosphorus concentrations, lower New Zealand mudsnail densities, and salt cedar litter that was unaffected by...
This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring. This data release consists of two child items, one containing the field and expert collected ground control data used to train our models, and another consisting of resulting land cover maps for the island of Lāna‘i. The research effort that generated these input data, and products are carefully described in the associated manuscript Berio Fortini...
This data set consists of ground control points used for independent pixel-level model validation (ground_control_points.gpkg): This dataset consists of 295 points distributed across the 15 vegetation classes on the island of Lāna‘i. The points were randomly generated from the final species-specific land cover classification map and stratified by class to ensure representation across all classes. The dataset provides species-specific land cover labels for the points, with the spatial location corresponding to the pixel coordinate location on the 2m resolution land cover map. Comparing modeled class assignments to these expert-validated classes enables an independent accuracy assessment supplemental to the polygon-based...
This data release presents the results of analyses of biota and water samples collected on multiple dates from 2007 to 2014 at 3 locations in Lake Mead National Recreation Area. Data are presented in 3 spreadsheets containing sample analyses for (1) stable isotopes in biota (2007-2014), (2) synthetic organic compounds in biota (2013-2014), and (3) synthetic organic compounds in water (2013-2014)
This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring. This data release consists of two child items, one containing the field and expert collected ground control data used to train our models, and another consisting of resulting land cover maps for the island of Lāna‘i. The research effort that generated these input data, and products are carefully described in the associated manuscript Berio Fortini...
This raster integrates the species-specific and community classifications using a hierarchical approach based on classification certainty. A 0.66 probability threshold was applied, with pixels assigned the finest species-specific class as long as the probability exceeded the threshold. Pixels below the threshold were assigned to the broader community class meeting the threshold. This approach displays the most detailed class possible given a minimum confidence, providing a map that balances specificity and certainty. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.
Data were collected to identify changes in forest composition over a 25-year period of recovery from ungulate damage. Data were collected during two time periods, 1993-1994 and 2015-2019, and include tree height, tree DBH, distance between trees, and Hawaii elepaio nest site selection (nest tree species, nest tree height, and nest tree diameter).
This raster depicts the distribution of broader community-level vegetation classes across Lāna‘i. To generate this map, the species-specific class probabilities were summed to get total probability of membership in each defined community class. Each pixel was then assigned to the community class with the highest probability. This generalized map allows for an assessment of vegetation patterns at a coarser categorical level across the island. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.
This release includes data used to evaluate the structure and function of the Ross Lake and Diablo Lake food webs. This includes data on zooplankton density and production (zooplankton_density.csv and daphnia_region_production_biomass.csv), lake volume estimates used to expand zooplankton density and production data (lake_volume_estimates.csv), fish sampling (FishSampleEvents.csv), fish biological information including diets, age, and stable isotope analysis (FishFullData_formatted.csv, FishPreyLength.csv), scale back-calculations (salmonid_back_calc.csv, rss_back_calc.csv), fish energy density (calorimetry_processed.csv), stable isotope data for invertebrate end members (si_inverts.csv), and hydroacoustic sampling...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Limnology,
Ross Lake National Recreation Area,
USGS Science Data Catalog (SDC),
This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers can be used to generate class membership uncertainty maps or probabilistic class cover maps from the model outputs. They provide additional information beyond the discrete categorial land cover assignments.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Conservation,
Hawaiian Islands,
Hawai‘i,
Invasive species,
Land cover,
Vegetation transformations after wildfires are a growing issue for forest and shrubland managers in the Inland Pacific Northwest. Severe fires combined with persistent drought and invasive species can slow or prevent the recovery of burned forests and shrublands to their pre-fire states, resulting in ecological, economic, and cultural losses. Forests may be converted to shrub fields or grasslands, and shrublands may be replaced by invasive grasses. While shrublands and grasslands can be important components of these ecosystems, there is growing concern about the increased extent of these vegetation types on the landscape. Despite the severe post-fire vegetation transformations, little is known about where, when,...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2023,
Annual Grass Invasion,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Invasive species have had devastating effects on Pacific Island biodiversity, ecosystem services, food, infrastructure, culture, and public health. Meanwhile, climate change is expected to worsen droughts and wildfires, increase storm severity, and raise the temperature, acidity, and sea level, all of which exacerbate invasive species issues and complicate management. Invasive species managers in the area are concerned about the impacts of climate change but are not satisfied with the knowledge currently available to help address these threats. They critically need easily accessible information, tools, and products that can help improve invasive species management in the face of climate change. The Pacific Regional...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2023,
CASC,
Pacific Islands,
Pacific Islands CASC,
Projects by Region,
This data set consists of ground control polygons used for model training and evaluation (ground_control_polygons.gpkg): This dataset consists of refined vegetation polygons digitized across the island of Lāna‘i representing the 15 land cover classes of interest. High-resolution aerial imagery and extensive field experience were used to iteratively collect and improve the polygons through expert review and interpretation. The polygons were divided into a 250m grid overlaying the island to balance sample size and spatial resolution while reducing spatial autocorrelation, resulting in 1,754 smaller polygons. These polygon data served as the primary dataset used to train, validate, and evaluate the classification models...
This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring. This data release consists of two child items, one containing the field and expert collected ground control data used to train our models, and another consisting of resulting land cover maps for the island of Lāna‘i. The research effort that generated these input data, and products are carefully described in the associated manuscript Berio Fortini...
This raster depicts the distribution of 15 species-specific vegetation classes across the island of Lāna‘i at 2m resolution. It represents the final selected neural network model predictions with expert-adjusted posterior probabilities. Each pixel is assigned to the most likely species-specific class based on the model. Overall and class-specific accuracy assessments indicate this map has generally over 95% accuracy. It provides detailed species-level vegetation mapping to support conservation planning and monitoring. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.
This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of 2022 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 PAR, temperature, specific conductivity,...
|
|