데이터셋 상세
미국
Predator movements and duck nests in relation to habitat features in Suisun Marsh, CA (2016-2019)
This dataset describes mesopredator locations (raccoons and striped skunks), dabbling duck nest locations (mallard, gadwall, and cinnamon teal), northern harrier nest locations, and random locations in relation to a set of habitat features in Suisun Marsh, California during 2016 through 2019. We designed a series of questions to link fine-scale predator movements and vulnerability of dabbling duck nests to predator encounters and egg predation. We conducted our study over a 4-year period using 41 GPS-collared raccoons and striped skunks, two of the most widespread mammalian predators of waterfowl eggs in North America, and more than 2000 monitored duck nests. Each night of movement for mesopredators contains the distance between successive locations (each unique night of foraging is identified using the julian date on which the night started), which can be added up to obtain an estimate for the distance traveled per night in between day resting sites. The dataset also includes a set of dabbling duck nests and distances to habitat features that were used to examine the probability of a nest being discovered and depredated by a predator. This dataset also includes a set of nests found within the home ranges of the GPS-collared raccoons and skunks that encountered the most duck nests in the core upland nesting area and whether each nest was encountered or not on a given night by a collared animal. These nest encounters were used to examine the probability of encounter by a collared predator in relation to a set of habitat features.
데이터 정보
연관 데이터
Predator movements and duck nests in relation to habitat features in Suisun Marsh, CA (2016-2019)
공공데이터포털
This dataset describes mesopredator locations (raccoons and striped skunks), dabbling duck nest locations (mallard, gadwall, and cinnamon teal), northern harrier nest locations, and random locations in relation to a set of habitat features in Suisun Marsh, California during 2016 through 2019. We designed a series of questions to link fine-scale predator movements and vulnerability of dabbling duck nests to predator encounters and egg predation. We conducted our study over a 4-year period using 41 GPS-collared raccoons and striped skunks, two of the most widespread mammalian predators of waterfowl eggs in North America, and more than 2000 monitored duck nests. Each night of movement for mesopredators contains the distance between successive locations (each unique night of foraging is identified using the julian date on which the night started), which can be added up to obtain an estimate for the distance traveled per night in between day resting sites. The dataset also includes a set of dabbling duck nests and distances to habitat features that were used to examine the probability of a nest being discovered and depredated by a predator. This dataset also includes a set of nests found within the home ranges of the GPS-collared raccoons and skunks that encountered the most duck nests in the core upland nesting area and whether each nest was encountered or not on a given night by a collared animal. These nest encounters were used to examine the probability of encounter by a collared predator in relation to a set of habitat features.
The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017
공공데이터포털
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 L. Casazza in Ecology and Evolution.
Distances (km) between primary sanctuaries and night (feeding) locations of ducks in California during fall-winter (October-March) of 2015-16, 2016-17, and 2017-18.
공공데이터포털
In this data set, records (rows) represent the distance between primary daytime roosts and night (feeding) locations of ducks marked with telemetry in California in years 2015-16, 2016-17, and 2017-18, during October - March. Years 2015-16, 2016-17, and 2017-18 represented drought, non-drought, and non-drought, respectively. Matchett and company (2020; see Larger Work section for citation) summarized this data set in figures E3 and E4 to compare distances moved among months, years, and for two regions (Suisun Marsh and California except Suisun Marsh). Matchett and company examined the effect of drought on distributions of ducks by evaluating differences in spatial distributions of duck locations within and among years and between the two regions. Matchett and company used this data set to summarize distances between duck nighttime (feeding) locations and primary sanctuaries used for daytime roosting. Data set columns refer to temporal and spatial attributes of locations in relationship with distance between primary roost sites and nighttime duck locations. Column 1 is Region (Suisun Marsh or California excluding Suisun Marsh) where locations were recorded, column 2 is Year class (2015-16, 2016-17, 2017-18), column 3 is Month class (October-November, December-January, February-March), column 4 is Distance to primary sanctuaries (km) referencing the distance from nighttime locations.
Classification of individual duck telemetry locations as wet habitat or dry non-habitat in the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18 using three maps derived from open-water data from Point Blue Conservation Science
공공데이터포털
We used Point Blue Conservation Science's dynamic open-water dataset of water distribution and our telemetry data for duck locations to develop frequently updated habitat maps for the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. Telemetry data additionally was used to compare performance of each of three series of habitat maps produced. To create this tabular dataset, we intersected telemetry locations for ducks (vector point data) with habitat maps (raster mosaics) in a Geographic Information System (GIS) and attributed duck locations with map pixel values representing habitat, non-habitat, or unclassified (if data were missing). To develop maps of waterfowl habitat, we used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue Conservation Science derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a duck location by species (column 1) bound to the spatial extent of the Central Valley and Suisun Marsh for October-March of 2014-15 through 2017-18. Columns 2 - 4 represent attributes assigned to duck locations by each of the three maps that were developed and assessed for accuracy. We used the data set to summarize and compare the proportion of duck locations in habitat for the three maps. We further summarized proportions in habitat by duck species (Mallard versus Northern Pintail) and biological activity (for example, feeding and roosting versus molting).
Classification of individual duck telemetry locations as wet habitat or dry non-habitat in the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18 using three maps derived from open-water data from Point Blue Conservation Science
공공데이터포털
We used Point Blue Conservation Science's dynamic open-water dataset of water distribution and our telemetry data for duck locations to develop frequently updated habitat maps for the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. Telemetry data additionally was used to compare performance of each of three series of habitat maps produced. To create this tabular dataset, we intersected telemetry locations for ducks (vector point data) with habitat maps (raster mosaics) in a Geographic Information System (GIS) and attributed duck locations with map pixel values representing habitat, non-habitat, or unclassified (if data were missing). To develop maps of waterfowl habitat, we used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue Conservation Science derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a duck location by species (column 1) bound to the spatial extent of the Central Valley and Suisun Marsh for October-March of 2014-15 through 2017-18. Columns 2 - 4 represent attributes assigned to duck locations by each of the three maps that were developed and assessed for accuracy. We used the data set to summarize and compare the proportion of duck locations in habitat for the three maps. We further summarized proportions in habitat by duck species (Mallard versus Northern Pintail) and biological activity (for example, feeding and roosting versus molting).
Tracking Data for Lesser Scaup (Aythya affinis)
공공데이터포털
These location data were collected from a free-ranging species of diving duck, the Lesser Scaup (Aythya affinis), using the Argos Satellite Telemetry System with platform transmitter terminals (PTTs) that were surgically implanted in ducks. Ducks were marked at two breeding areas: Yukon Flats National Wildlife Refuge in Alaska, USA at the northern extent of their distribution (66.51000 degrees N, -145.98556 degrees W) in 2012 and at Red Rock Lakes National Wildlife Refuge in Montana, USA at the southern extent of their distribution (44.63778 degrees N, -111.73694 degrees W) in 2009. These data can be downloaded from the Movebank repository (www.movebank.org) as an Excel (.csv), Google Earth (.kmz), or ESRI shapefile (study name "Tracking Data for Lesser Scaup (Aythya affinis)", study ID 1081716933, https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1081716933).
Tracking Data for Lesser Scaup (Aythya affinis)
공공데이터포털
These location data were collected from a free-ranging species of diving duck, the Lesser Scaup (Aythya affinis), using the Argos Satellite Telemetry System with platform transmitter terminals (PTTs) that were surgically implanted in ducks. Ducks were marked at two breeding areas: Yukon Flats National Wildlife Refuge in Alaska, USA at the northern extent of their distribution (66.51000 degrees N, -145.98556 degrees W) in 2012 and at Red Rock Lakes National Wildlife Refuge in Montana, USA at the southern extent of their distribution (44.63778 degrees N, -111.73694 degrees W) in 2009. These data can be downloaded from the Movebank repository (www.movebank.org) as an Excel (.csv), Google Earth (.kmz), or ESRI shapefile (study name "Tracking Data for Lesser Scaup (Aythya affinis)", study ID 1081716933, https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1081716933).
Duckling survival in a brackish marsh
공공데이터포털
We conducted a multi-year study (2016-2019) to quantify sources of duckling mortality, identify predator type, and estimate survival rates for Mallard (Anas platyrhynchos) and Gadwall (Mareca strepera) ducklings within Suisun Marsh, California.
Duckling survival in a brackish marsh
공공데이터포털
We conducted a multi-year study (2016-2019) to quantify sources of duckling mortality, identify predator type, and estimate survival rates for Mallard (Anas platyrhynchos) and Gadwall (Mareca strepera) ducklings within Suisun Marsh, California.
Abundance of wetland-dependent birds at Breeding Bird Survey routes and associated land cover and climate information
공공데이터포털
Estimation and validation data for site by species matrices used in the publication 'Clustering and ensembling approaches to support surrogate-based species management' by H.R. Sofaer et al. 2019 Diversity and Distributions