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Prairie Pothole Region Brood Count Data 2008 - 2017

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Research Data Australia2024-12-14 收录
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https://researchdata.edu.au/prairie-pothole-region-2008-2017/2036382
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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
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James Cook University
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