Reply to: Caution over the use of ecological big data for conservation

Nuno Queiroz, Nicolas E. Humphries, Ana Couto, Marisa Vedor, Ivo da Costa, Ana M.M. Sequeira, Gonzalo Mucientes, António M. Santos, Francisco J. Abascal, Debra L. Abercrombie, Katya Abrantes, David Acuña-Marrero, André S. Afonso, Pedro Afonso, Darrell Anders, Gonzalo Araujo, Randall Arauz, Pascal Bach, Adam Barnett, Diego BernalMichael L. Berumen, Sandra Bessudo Lion, Natalia P.A. Bezerra, Antonin V. Blaison, Barbara A. Block, Mark E. Bond, Ramon Bonfil, Camrin D. Braun, Edward J. Brooks, Annabelle Brooks, Judith Brown, Michael E. Byrne, Steven E. Campana, Aaron B. Carlisle, Demian D. Chapman, Taylor K. Chapple, John Chisholm, Christopher R. Clarke, Eric G. Clua, Jesse E.M. Cochran, Estelle C. Crochelet, Laurent Dagorn, Ryan Daly, Daniel Devia Cortés, Thomas K. Doyle, Michael Drew, Clinton A.J. Duffy, Thor Erikson, Eduardo Espinoza, Luciana C. Ferreira, Francesco Ferretti, John D. Filmalter, G. Chris Fischer, Richard Fitzpatrick, Jorge Fontes, Fabien Forget, Mark Fowler, Malcolm P. Francis, Austin J. Gallagher, Enrico Gennari, Simon D. Goldsworthy, Matthew J. Gollock, Jonathan R. Green, Johan A. Gustafson, Tristan L. Guttridge, Hector M. Guzman, Neil Hammerschlag, Luke Harman, Fábio H.V. Hazin, Matthew Heard, Alex R. Hearn, John C. Holdsworth, Bonnie J. Holmes, Lucy A. Howey, Mauricio Hoyos, Robert E. Hueter, Nigel E. Hussey, Charlie Huveneers, Dylan T. Irion, David M.P. Jacoby, Oliver J.D. Jewell, Ryan Johnson, Lance K.B. Jordan, Warren Joyce, Clare A. Keating Daly, James T. Ketchum, A. Peter Klimley, Alison A. Kock, Pieter Koen, Felipe Ladino, Fernanda O. Lana, James S.E. Lea, Fiona Llewellyn, Warrick S. Lyon, Anna MacDonnell, Bruno C.L. Macena, Heather Marshall, Jaime D. McAllister, Michael A. Meÿer, John J. Morris, Emily R. Nelson, Yannis P. Papastamatiou, Cesar Peñaherrera-Palma, Simon J. Pierce, Francois Poisson, Lina Maria Quintero, Andrew J. Richardson, Paul J. Rogers, Christoph A. Rohner, David R.L. Rowat, Melita Samoilys, Jayson M. Semmens, Marcus Sheaves, George Shillinger, Mahmood Shivji, Sarika Singh, Gregory B. Skomal, Malcolm J. Smale, Laurenne B. Snyders, German Soler, Marc Soria, Kilian M. Stehfest, Simon R. Thorrold, Mariana T. Tolotti, Alison Towner, Paulo Travassos, John P. Tyminski, Frederic Vandeperre, Jeremy J. Vaudo, Yuuki Y. Watanabe, Sam B. Weber, Bradley M. Wetherbee, Timothy D. White, Sean Williams, Patricia M. Zárate, Robert Harcourt, Graeme C. Hays, Mark G. Meekan, Michele Thums, Xabier Irigoien, Victor M. Eguiluz, Carlos M. Duarte, Lara L. Sousa, Samantha J. Simpson, Emily J. Southall, David W. Sims

Research output: Contribution to journalLetterpeer-review

3 Citations (Scopus)


Our global analysis estimated the overlap and fishing exposure risk (FEI) using the space use of satellite-tracked sharks and longline fishing effort monitored by the automatic identification system (AIS). In the accompanying Comment, Harry and Braccini draw attention to two localized shark–longline vessel overlap hotspots in Australian waters, stating that 47 fishing vessels were misclassified as longline and purse seine vessels in the Global Fishing Watch (GFW) 2012–2016 AIS fishing effort data product that we used. This, they propose, results in misidentifications that highlight fishing exposure hotspots that are subject to an unexpected level of sensitivity in the analysis and they suggest that misidentifications could broadly affect the calculations of fishing exposure and the central conclusions of our study. We acknowledged in our previously published paper that gear reclassifications were likely to occur for a small percentage of the more than 70,000 vessels studied, however, here we demonstrate that even using much larger numbers of vessel reclassifications than those proposed by Harry and Braccini, the central results and conclusions of our paper do not change.
Original languageEnglish
Pages (from-to)E20-E28
Number of pages9
Publication statusPublished - 8 Jul 2021


  • fishing exposure risk
  • Satellite tracking
  • sharks
  • longline fishing effort
  • AIS
  • ecological big data


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