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This data release presents the data, JAGS models, and R code used to manipulate data and to produce results and figures presented in the USGS Open File Report, "Decision-Support Framework for Linking Regional-Scale Management Actions to Continental-Scale Conservation of Wide-Ranging Species, (https://doi.org/10.5066/P93YTR3X). The zip folder is provided so that other can reproduce results from the integrated population model, inspect model structure and posterior simulations, conduct analyses not present in the report, and use and modify the code. Raw source data can be sourced from the USGS Bird Banding Laboratory, USFWS Surveys and Monitoring Branch, National Oceanic and Atmospheric administration, and Ducks Unlimited...
The ability to effectively manage wildlife in North America is founded in an understanding of how human actions and the environment influence wildlife populations. Current management practices are informed by population monitoring data from the past to determine key ecological relationships and make predictions about future population status. In most cases, including the regulation of waterfowl hunting in North America, these forecasts assume that the relationships we observed in the past will remain the same in the future. However, climate change is influencing wildlife populations in many dynamic and uncertain ways, leading to a situation in which our observations of the past are poor predictors of the future....
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2020,
Birds,
Birds,
CASC,
Data Visualization & Tools,
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