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Global spatial risk assessment of sharks under the footprint of fisheries ArchiMer
Queiroz, Nuno; Humphries, Nicolas E.; Couto, Ana; Vedor, Marisa; Da Costa, Ivo; Sequeira, Ana M. M.; Mucientes, Gonzalo; Santos, Antonio M; Abascal, Francisco J.; Abercrombie, Debra L.; Abrantes, Katya; Acuna-marrero, David; Afonso, Andre S.; Afonso, Pedro; Anders, Darrell; Araujo, Gonzalo; Arauz, Randall; Bach, Pascal; Barnett, Adam; Bernal, Diego; Berumen, Michael L.; Lion, Sandra Bessudo; Bezerra, Natalia P. A.; Blaison, Antonin V.; Block, Barbara A.; Bond, Mark E.; Bonfil, Ramon; Bradford, Russell W.; Braun, Camrin D.; Brooks, Edward J.; Brooks, Annabelle; Brown, Judith; Bruce, Barry D.; Byrne, Michael E.; Campana, Steven E.; Carlisle, Aaron B.; Chapman, Demian D.; Chapple, Taylor K.; Chisholm, John; Clarke, Christopher R.; Clua, Eric G.; Cochran, Jesse E. M.; Crochelet, Estelle C.; Dagorn, Laurent; Daly, Ryan; Cortes, Daniel Devia; Doyle, Thomas K.; Drew, Michael; Duffy, Clinton A. J.; Erikson, Thor; Espinoza, Eduardo; Ferreira, Luciana C.; Ferretti, Francesco; Filmalter, John D.; Fischer, G. Chris; Fitzpatrick, Richard; Fontes, Jorge; Forget, Fabien; Fowler, Mark; Francis, Malcolm P.; Gallagher, Austin J.; Gennari, Enrico; Goldsworthy, Simon D.; Gollock, Matthew J.; Green, Jonathan R.; Gustafson, Johan A.; Guttridge, Tristan L.; Guzman, Hector M.; Hammerschlag, Neil; Harman, Luke; Hazin, Fabio H. V.; Heard, Matthew; Hearn, Alex R.; Holdsworth, John C.; Holmes, Bonnie J.; Howey, Lucy A.; Hoyos, Mauricio; Hueter, Robert E.; Hussey, Nigel E.; Huveneers, Charlie; Irion, Dylan T.; Jacoby, David M. P.; Jewell, Oliver J. D.; Johnson, Ryan; Jordan, Lance K. B.; Jorgensen, Salvador J.; Joyce, Warren; Daly, Clare A. Keating; Ketchum, James T.; Klimley, A. Peter; Kock, Alison A.; Koen, Pieter; Ladino, Felipe; Lana, Fernanda O.; Lea, James S. E.; Llewellyn, Fiona; Lyon, Warrick S.; Macdonnell, Anna; Macena, Bruno C. L.; Marshall, Heather; Mcallister, Jaime D.; Mcauley, Rory; Meyer, Michael A.; Morris, John J.; Nelson, Emily R.; Papastamatiou, Yannis P.; Patterson, Toby A.; Penaherrera-palma, Cesar; Pepperell, Julian G.; Pierce, Simon J.; Poisson, Francois; Quintero, Lina Maria; Richardson, Andrew J.; Rogers, Paul J.; Rohner, Christoph A.; Rowat, David R. L.; Samoilys, Melita; Semmens, Jayson M.; Sheaves, Marcus; Shillinger, George; Shivji, Mahmood; Singh, Sarika; Skomal, Gregory B.; Smale, Malcolm J.; Snyders, Laurenne B.; Soler, German; Soria, Marc; Stehfest, Kilian M.; Stevens, John D.; Thorrold, Simon R.; Tolotti, Mariana T.; Towner, Alison; Travassos, Paulo; Tyminski, John P.; Vandeperre, Frederic; Vaudo, Jeremy J.; Watanabe, Yuuki Y.; Weber, Sam B.; Wetherbee, Bradley M.; White, Timothy D.; Williams, Sean; Zarate, Patricia M.; Harcourt, Robert; Hays, Graeme C.; Meekan, Mark G.; Thums, Michele; Irigoien, Xabier; Eguiluz, Victor M.; Duarte, Carlos M.; Sousa, Lara L.; Simpson, Samantha J.; Southall, Emily J.; Sims, David W..
Effective ocean management and the conservation of highly migratory species depend on resolving the overlap between animal movements and distributions, and fishing effort. However, this information is lacking at a global scale. Here we show, using a big-data approach that combines satellite-tracked movements of pelagic sharks and global fishing fleets, that 24% of the mean monthly space used by sharks falls under the footprint of pelagic longline fisheries. Space-use hotspots of commercially valuable sharks and of internationally protected species had the highest overlap with longlines (up to 76% and 64%, respectively), and were also associated with significant increases in fishing effort. We conclude that pelagic sharks have limited spatial refuge from...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00575/68662/67587.pdf
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Outstanding Challenges in the Transferability of Ecological Models ArchiMer
Yates, Katherine L.; Bouchet, Phil J.; Caley, M. Julian; Mengersen, Kerrie; Randin, Christophe F.; Parnell, Stephen; Fielding, Alan H.; Bamford, Andrew J.; Ban, Stephen; Marcia Barbosa, A.; Dormann, Carsten F.; Elith, Jane; Embling, Clare B.; Ervin, Gary N.; Fisher, Rebecca; Gould, Susan; Graf, Roland F.; Gregr, Edward J.; Halpin, Patrick N.; Heikkinen, Risto K.; Heinanen, Stefan; Jones, Alice R; Krishnakumar, Periyadan K.; Lauria, Valentina; Lozano-montes, Hector; Mannocci, Laura; Mellin, Camille; Mesgaran, Mohsen B.; Moreno-amat, Elena; Mormede, Sophie; Novaczek, Emilie; Oppel, Steffen; Crespo, Guillermo Ortuno; Peterson, A. Townsend; Rapacciuolo, Giovanni; Roberts, Jason J.; Ross, Rebecca E.; Scales, Kylie L.; Schoeman, David; Snelgrove, Paul; Sundblad, Goran; Thuiller, Wilfried; Torres, Leigh G.; Verbruggen, Heroen; Wang, Lifei; Wenger, Seth; Whittingham, Mark J.; Zharikov, Yuri; Zurell, Damaris; Sequeira, Ana M. M..
Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their 'transferability') undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps which, if filled, will most improve model transfers. These are summarized into six technical and six fundamental challenges, which underlie the combined need to intensify research on the determinants of ecological predictability, including species traits and data quality, and develop best practices for transferring models. Of high importance is the identification of a widely applicable set of transferability...
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Ano: 2018 URL: https://archimer.ifremer.fr/doc/00466/57728/59909.pdf
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