Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations.

Autor: Cunningham SA; School of Natural Resources, University of Missouri, Columbia, MO, 65211, USA. steph.cunningham.929@gmail.com.; Department of Environmental Biology, State University of New York College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY, 13210, USA. steph.cunningham.929@gmail.com., Schafer TLJ; Department of Statistics, University of Missouri, Columbia, MO, 65211, USA.; Department of Statistics, Texas A&M University, College Station, TX, 77843, USA., Wikle CK; Department of Statistics, University of Missouri, Columbia, MO, 65211, USA., VonBank JA; Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX, 78363, USA., Ballard BM; Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX, 78363, USA., Cao L; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Bearhop S; Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, TR10 9EZ, UK., Fox AD; Department of Bioscience, Aarhus University, C.F. Møllers Allé 4-8, 8000, Aarhus C, Denmark., Hilton GM; Wildfowl & Wetlands Trust, Slimbridge, GL2 7BT, Gloucester, UK., Walsh AJ; National Parks and Wildlife Service, Wexford Wildfowl Reserve, North Slob, Wexford, Ireland., Griffin LR; Wildfowl & Wetlands Trust, Slimbridge, GL2 7BT, Gloucester, UK.; ECO-LG Limited, Crooks House, Mabie, DG2 8EY, Dumfries, UK., Weegman MD; School of Natural Resources, University of Missouri, Columbia, MO, 65211, USA.; Department of Biology, University of Saskatchewan, Saskatoon, SK, S7N 5E2, Canada.

Publikováno v: Oecologia [Oecologia] 2023 Feb; Vol. 201 (2), pp. 369-383. Date of Electronic Publication: 2022 Dec 28.

Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects.

Autor: Che-Castaldo JP; Conservation & Science Department, Lincoln Park Zoo, 2001 N. Clark St. Chicago, Chicago, IL USA., Cousin R; International Research Institute for Climate and Society, Earth Institute/Columbia University, New York, USA., Daryanto S; Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, USA., Deng G; Department of Statistics and Data Science, Cornell University, New York, USA., Feng ME; Conservation & Science Department, Lincoln Park Zoo, 2001 N. Clark St. Chicago, Chicago, IL USA., Gupta RK; Halicioglu Data Science Institute and Department of Computer Science & Engineering, University of California, San Diego, CA USA., Hong D; Halicioglu Data Science Institute and Department of Computer Science & Engineering, University of California, San Diego, CA USA., McGranaghan RM; Atmospheric and Space Technology Research Associates, Louisville, CO USA., Owolabi OO; Department of Civil and Environmental Engineering, Tufts University, Medford, MA USA., Qu T; Department of Finance, Isenberg School of Management, UMASS Amherst, Amherst, MA USA., Ren W; Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, USA., Schafer TLJ; Department of Statistics and Data Science, Cornell University, New York, USA., Sharma A; Civil and Environmental Engineering, Pennsylvania State University, State College, PA USA.; Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India., Shen C; Civil and Environmental Engineering, Pennsylvania State University, State College, PA USA., Sherman MG; Department of Finance, Isenberg School of Management, UMASS Amherst, Amherst, MA USA., Sunter DA; Department of Civil and Environmental Engineering, Tufts University, Medford, MA USA.; Department of Mechanical Engineering, Tufts University, Medford, MA USA.; Tufts Institute of the Environment, Tufts University, Medford, MA USA.; Center for International Environment and Resource Policy at The Fletcher School, Tufts University, Medford, MA USA., Tao B; Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, USA., Wang L; Department of Management Science, Miami Herbert Business School, University of Miami, Coral Gables, FL USA., Matteson DS; Department of Statistics and Data Science, Cornell University, New York, USA.

Publikováno v: Environment systems & decisions [Environ Syst Decis] 2021; Vol. 41 (4), pp. 594-615. Date of Electronic Publication: 2021 Jul 17.

Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowl.

Autor: Overton, Cory, Casazza, Michael, Bretz, Joseph, McDuie, Fiona, Matchett, Elliott, Mackell, Desmond, Lorenz, Austen, Mott, Andrea, Herzog, Mark, Ackerman, Josh

Publikováno v: Movement Ecology; 5/16/2022, Vol. 10 Issue 1, p1-13, 13p