Skip to main content
Advanced Search

Filters: Tags: waterfowl (X)

220 results (30ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
Approximately 298 acres of seasonal shallow water wetland habitat will be established or enhanced for water birds and waterfowl by constructing and repairing low level dikes and installing 6 water control structures. In addition, permanent water wetlands will be constructed enhance the wetland complex.
thumbnail
These data include a row for each duck nest equipped with a small video camera. We present the location of the nest, the timing of the start of hatch, the timing of the end of hatch, and the timing of the departure of the hen and ducklings from the nest. Additionally, this table includes any predators that were observed at the nest depredating eggs prior to hatch and any predators that were observed at the nest between hatch and departure from the nest. These data support the following publication: "Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods" by Sarah H. Peterson, Joshua T. Ackerman, Mark P. Herzog, C. Alex Hartman, Rebecca Croston, Cliff L. Feldheim, and Michael...
thumbnail
Shorebird - waterfowl assemblage conservation element. Created through the union of several hydrologic datasets and waterfowl distributions: NWI wetlands polygons, Riparian areas, Canada goose ranges, White pelican ranges, Stream centerlines (buffered by 250 m).This dataset presents current and future change agent models and combined future potential for change (PFC) within waterfowl/shorebird assemblage potentially suitable habitat. The waterfowl/shorebird asemblage potentially suitable habitat extent was determined through the union of several hydrologic datasets:NWI wetlands polygons, water bodies, riparian areas, Canada goose ranges (CPW), white pelican ranges (CPW), and stream centerlines (buffered by 250 m).This...
America’s remaining grassland in the Prairie Pothole Region (PPR) is at risk of being lost to crop production. When crop prices are high, like the historically high corn prices that the U.S. experienced between 2008 and 2014, the risk of grassland conversion is even higher. Changing climate will add uncertainties to any efforts toward conservation of grassland in the PPR. Grassland conversion to cropland in the region would imperil nesting waterfowl among other species and further impair water quality in the Mississippi watershed. In this project, we sought to contribute to the understanding of land conversion in the PPR with the aim to better target the use of public and private funds allocated toward incentivizing...
thumbnail
These data represent an annotated training data for machine learned life history classification of the daily activity of dabbling ducks (f. Anatidae sf. Anatinae) using hourly GPS data. Each row of data represents a single GPS location for one of 5 species of dabbling duck. Note: the machine learned model was developed to be general across sf. Anatinae and does not include specific reference to the species included. That information is obtainable from the point of contact upon request. Each data record contains unique identifiers for individual bird, individual date of locations for an individual bird, and for individual location. Each record contains spatial, temporal and associated habitat information. Each record...
map background search result map search result map Wetland Construction and Enhancements, Lincoln County The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017 BLM REA SLV 2013 ShorebirdWaterfowl PFC 1km Poly Human Development Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017 BLM REA SLV 2013 ShorebirdWaterfowl PFC 1km Poly Human Development Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity