Data

Prairie Pothole Region Brood Count Data 2008 - 2017

James Cook University
Kemink, Kaylan
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/ANB0-MC67&rft.title=Prairie Pothole Region Brood Count Data 2008 - 2017&rft.identifier=10.25903/ANB0-MC67&rft.publisher=James Cook University&rft.description=These files contain brood count data along with the relevant covariates used to model brood abundance in a hierarchical spatial abundance model for the Prairie Pothole Region of the U.S. Data were amalgamated from three previous studies with the permission of the authors: Distribution of Duck Broods Relative to Habitat Characteristics in the Prairie Pothole Region https://doi.org/10.1002/jwmg.466 Impacts of Oil and Gas Development on Duck Brood Abundance https://doi.org/10.1002/jwmg.21742 Assessment of repeat-visit surveys as a viable method for estimating brood abundance at the 10.4-km2 scale https://doi.org/10.1002/wsb.848 The file traindata.csv was used to parameterize the model while the file testdata.csv was used to test model fit. Columns are defined as follows: X & Y: Geographic location of surveyed basin (in Albers Equal Area Conic) C1 & C2: Counts 1 and 2 of survey (AM and PM count) scalePE & scalePE2: Quadratic, scaled percent of the basin that is obscured by emergent cover LWA: scaled variable representing log of basin July wet area basinWA: scaled variable representing basin July wet area scaleJWA: scaled variable representing the total July wet area within 2560 acres of the surveyed basin (summarized by acre) scaleMWC: scaled variable representing total count of wet basins in May within 2560 acres of surveyed basin scalePC: scaled variable representing the total percent of the 2560 acres around the surveyed basin that is under perennial cover. Y09:Y17: Year of the survey logDate: log of date SEAS & SEMI & TEMP: basin regime Walkin: How the basin was surveyed (1= by truck, 0 = walkin). Software/equipment used to create/collect the data: Program R; Python; ArcGIS Software/equipment used to manipulate/analyse the data: Program R; Python; ArcGIS&rft.creator=Kemink, Kaylan &rft.date=2022&rft.relation= https://doi.org/10.1002/jwmg.466&rft.relation= https://doi.org/10.1002/jwmg.21742&rft.relation= https://doi.org/10.1002/wsb.848&rft.coverage=-97.329574,48.985985 -96.714469,42.624259 -98.427977,42.882405 -99.482444,43.809162 -100.66872,45.281071 -100.756592,46.534681 -102.25042,47.463751 -104.315418,47.78954 -106.380416,47.819057 -108.049988,47.374547 -109.807433,46.986248 -111.301261,47.463751 -111.916367,48.318273 -112.048175,48.985985 -97.329574,48.985985&rft.coverage=Prairie Pothole Region, United States&rft_rights=&rft_rights=CC BY-SA 4.0: Attribution-Share Alike 4.0 International http://creativecommons.org/licenses/by-sa/4.0&rft_subject=biodiversity&rft_subject=conservation planning&rft_subject=Prairie Pothole Region&rft_subject=spatiotemporal&rft_subject=waterfowl&rft_subject=ARC Centre of Excellence for Coral Reef Studies&rft_subject=Conservation and Biodiversity&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Expanding Knowledge in the Environmental Sciences&rft_subject=EXPANDING KNOWLEDGE&rft_subject=EXPANDING KNOWLEDGE&rft.type=dataset&rft.language=English Access the data

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Full description

These files contain brood count data along with the relevant covariates used to model brood abundance in a hierarchical spatial abundance model for the Prairie Pothole Region of the U.S. Data were amalgamated from three previous studies with the permission of the authors:

Distribution of Duck Broods Relative to Habitat Characteristics in the Prairie Pothole Region https://doi.org/10.1002/jwmg.466

Impacts of Oil and Gas Development on Duck Brood Abundance https://doi.org/10.1002/jwmg.21742

Assessment of repeat-visit surveys as a viable method for estimating brood abundance at the 10.4-km2 scale https://doi.org/10.1002/wsb.848

The file traindata.csv was used to parameterize the model while the file testdata.csv was used to test model fit. Columns are defined as follows:

  • X & Y: Geographic location of surveyed basin (in Albers Equal Area Conic)
  • C1 & C2: Counts 1 and 2 of survey (AM and PM count)
  • scalePE & scalePE2: Quadratic, scaled percent of the basin that is obscured by emergent cover
  • LWA: scaled variable representing log of basin July wet area
  • basinWA: scaled variable representing basin July wet area
  • scaleJWA: scaled variable representing the total July wet area within 2560 acres of the surveyed basin (summarized by acre)
  • scaleMWC: scaled variable representing total count of wet basins in May within 2560 acres of surveyed basin
  • scalePC: scaled variable representing the total percent of the 2560 acres around the surveyed basin that is under perennial cover.
  • Y09:Y17: Year of the survey
  • logDate: log of date
  • SEAS & SEMI & TEMP: basin regime
  • Walkin: How the basin was surveyed (1= by truck, 0 = walkin).

Software/equipment used to create/collect the data: Program R; Python; ArcGIS

Software/equipment used to manipulate/analyse the data: Program R; Python; ArcGIS

Created: 2022-09-16

Data time period: 06 2008 to 31 08 2017

Data time period: Does not include year 2011

-97.329574,48.985985 -96.714469,42.624259 -98.427977,42.882405 -99.482444,43.809162 -100.66872,45.281071 -100.756592,46.534681 -102.25042,47.463751 -104.315418,47.78954 -106.380416,47.819057 -108.049988,47.374547 -109.807433,46.986248 -111.301261,47.463751 -111.916367,48.318273 -112.048175,48.985985 -97.329574,48.985985

-104.381322,45.805122

text: Prairie Pothole Region, United States

Other Information
Identifiers
  • Local : https://test-jcu.redboxresearchdata.com.au/data/published/5802c840f95011ec91f7d39bc702b355
  • DOI : 10.25903/ANB0-MC67