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Classification of waterfowl habitat, and quantification of interannual space use and movement distance from primary roosts to night feeding locations by waterfowl in California for October - March of 2015 through 2018

Metadata Updated: July 6, 2024

Technological advancements in Global Positioning System (GPS) telemetry markers allow almost real-time observation of waterfowl movements and habitat selection. Telemetry data on ducks marked with GPS transmitters can be used to evaluate performance of remote sensing data (for example, dynamic open-water maps produced by Point Blue Conservation Science) for classifying habitats that are flooded and available for waterfowl. Translating dynamic open-water maps to waterfowl-relevant habitat maps provides a major improvement for wildlife researchers and managers to assist in their assessments of the areas and habitats used by waterfowl as hydrologic conditions change, both temporally and spatially. Suitable habitat maps developed using dynamic water data should accurately and consistently characterize those flooded habitats used by ducks. Because ducks prefer flooded habitats like wetlands and rice fields, duck locations recorded with telemetry technology can be used to validate and enhance maps developed to characterize waterfowl habitats that change temporally with drought or water management. Additionally, high-resolution telemetry data recorded in near real-time can provide information on waterfowl responsiveness to water-management decisions intended to provide adequate habitat for waterfowl. For example, telemetry data can be analyzed to infer duck response to drought in terms of distance traveled to feed and overlap in use of space or habitats by ducks, which have implications for the population dynamics of ducks.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/0c73d9e9f8e28c4f9db04225a25db6b6
Identifier USGS:601478d0d34edf5c66ea0ead
Data Last Modified 20210216
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c74f8ac8-c334-4a31-8ebd-0939aa319b92
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -122.6074,35.2277,-118.6523,40.246
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 094db429f70aee23303c6483d64e7a31406b3825f79563e07cd1c50ff636a4fc
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -122.6074, 35.2277, -122.6074, 40.246, -118.6523, 40.246, -118.6523, 35.2277, -122.6074, 35.2277}

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