J
Jason J. Roberts
Researcher at Duke University
Publications - 50
Citations - 2333
Jason J. Roberts is an academic researcher from Duke University. The author has contributed to research in topics: Population & Biological dispersal. The author has an hindex of 23, co-authored 46 publications receiving 1838 citations. Previous affiliations of Jason J. Roberts include Microsoft & Dalhousie University.
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Journal ArticleDOI
Outstanding Challenges in the Transferability of Ecological Models.
Katherine L. Yates,Katherine L. Yates,Phil J. Bouchet,M. Julian Caley,Kerrie Mengersen,Christophe F. Randin,Stephen Parnell,Alan H. Fielding,Andrew J. Bamford,Stephen Ban,A. Márcia Barbosa,Carsten F. Dormann,Jane Elith,Clare B. Embling,Gary N. Ervin,Rebecca Fisher,Susan F. Gould,Roland Felix Graf,Edward J. Gregr,Patrick N. Halpin,Risto K. Heikkinen,Stefan Heinänen,Alice R. Jones,Periyadan K. Krishnakumar,Valentina Lauria,Hector Lozano-Montes,Laura Mannocci,Laura Mannocci,Camille Mellin,Camille Mellin,Mohsen B. Mesgaran,Elena Moreno-Amat,Sophie Mormede,Emilie Novaczek,Steffen Oppel,Guillermo Ortuño Crespo,A. Townsend Peterson,Giovanni Rapacciuolo,Jason J. Roberts,Rebecca E. Ross,Kylie L. Scales,David S. Schoeman,David S. Schoeman,Paul V. R. Snelgrove,Göran Sundblad,Wilfried Thuiller,Leigh G. Torres,Heroen Verbruggen,Lifei Wang,Lifei Wang,Seth J. Wenger,Mark J. Whittingham,Yuri Zharikov,Damaris Zurell,Ana M. M. Sequeira +54 more
TL;DR: Of high importance is the identification of a widely applicable set of transferability metrics, with appropriate tools to quantify the sources and impacts of prediction uncertainty under novel conditions.
Journal ArticleDOI
Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++
TL;DR: MGET is developed, an extensible collection of powerful, easy-to-use, open-source geoprocessing tools that ecologists can invoke from ArcGIS without resorting to computer programming.
Journal ArticleDOI
Reproductive output and duration of the pelagic larval stage determine seascape-wide connectivity of marine populations.
TL;DR: An approach that quantifies geographic patterns of connectivity from demographically relevant to evolutionarily significant levels across a range of species is described and geographically explicit models of marine connectivity that define dispersal corridors, barriers, and the emergent structure of marine populations are created.
Journal ArticleDOI
Habitat-based cetacean density models for the U.S. Atlantic and Gulf of Mexico.
Jason J. Roberts,Benjamin D. Best,Benjamin D. Best,Laura Mannocci,Ei Fujioka,Patrick N. Halpin,Debra L. Palka,Lance P. Garrison,Keith D. Mullin,Timothy V. N. Cole,Christin Brangwynne Khan,William A. McLellan,D. Ann Pabst,Gwen G. Lockhart +13 more
TL;DR: This work integrated 23 years of aerial and shipboard cetacean surveys, linked them to environmental covariates obtained from remote sensing and ocean models, and built habitat-based density models for 26 species and 3 multi-species guilds using distance sampling methodology, revealing high regional differences in small delphinoid densities.
Journal ArticleDOI
High connectivity among habitats precludes the relationship between dispersal and range size in tropical reef fishes
TL;DR: It is found that although there are several areas of great isolation in the tropical oceans, most reef habitats are within the reach of most species given their PLDs and a global ocean circulation model was developed to quantify the connectivity among tropical reefs relative to the potential dispersal conferred by PLD.