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| Mannocci, Laura; Roberts, Jason J.; Halpin, Patrick N.; Authier, Matthieu; Boisseau, Oliver; Bradai, Mohamed Nejmeddine; Canadas, Ana; Chicote, Carla; David, Lea; Di-meglio, Nathalie; Fortuna, Caterina M; Frantzis, Alexandros; Gazo, Manel; Genov, Tilen; Hammond, Philip S.; Holcer, Drasko; Kaschner, Kristin; Kerem, Dani; Lauriano, Giancarlo; Lewis, Tim; Di Sciara, Giuseppe Notarbartolo; Panigada, Simone; Antonio Raga, Juan; Scheinin, Aviad; Ridoux, Vincent; Vella, Adriana; Vella, Joseph. |
| Heterogeneous data collection in the marine environment has led to large gaps in our knowledge of marine species distributions. To fill these gaps, models calibrated on existing data may be used to predict species distributions in unsampled areas, given that available data are sufficiently representative. Our objective was to evaluate the feasibility of mapping cetacean densities across the entire Mediterranean Sea using models calibrated on available survey data and various environmental covariates. We aggregated 302,481 km of line transect survey effort conducted in the Mediterranean Sea within the past 20 years by many organisations. Survey coverage was highly heterogeneous geographically and seasonally: large data gaps were present in the eastern and... |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00626/73789/75004.pdf |
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| Bouchet, Philippe; Miller, David Lawrence; Roberts, Jason; Mannocci, Laura; Harris, Catriona M.; Thomas, Len. |
| Density surface models (DSMs) are clearly established as a method of choice for the analysis of cetacean line transect survey data, and are increasingly used to inform risk assessments in remote marine areas subject to rising anthropogenic impacts (e.g. the high seas). However, despite persistent skepticism about the validity of extrapolated models, more and more DSMs are being applied well beyond the boundaries of the study regions where field sampling originally took place. This leads to potentially uncertain and error-prone model predictions that may mislead on-the-ground management interventions and undermine conservation decision-making. In addition, no consensus currently exists on the best way to define and measure extrapolation when it occurs,... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00515/62687/67073.pdf |
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| Bouchet, Pj; Miller, Dl; Roberts, Jj; Mannocci, Laura; Harris, Cm; Thomas, L. |
| Forecasting the responses of biodiversity to global change has never been more important. However, many ecologists faced with limited sample sizes and shoestring budgets often resort to extrapolating predictive models beyond the range of their data to support management actions in data‐deficient contexts. This can lead to error‐prone inference that has the potential to misdirect conservation interventions and undermine decision‐making. Despite the perils associated with extrapolation, little guidance exists on the best way to identify it when it occurs, leaving users questioning how much credence they should place in model outputs. To address this, we present dsmextra, a new R package for measuring, summarising, and visualising extrapolation in... |
| Tipo: Text |
Palavras-chave: Cetaceans; Distance sampling; Ecological predictions; Extrapolation; Model transferability; R package; Spatial modelling; Wildlife surveys. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00643/75485/76332.pdf |
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| 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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| Mannocci, Laura; Forget, Fabien; Travassos Tolotti, Mariana; Bach, Pascal; Bez, Nicolas; Demarcq, Herve; Kaplan, David; Sabarros, Philippe; Simier, Monique; Capello, Manuela; Dagorn, Laurent. |
| Fisheries observer programs represent the most reliable way to collect data on fisheries bycatch. However, their limited coverage leads to important data gaps that preclude bycatch mitigation at the basin scale. Habitat models developed from available fisheries observer programs offer a potential solution to fill these data gaps. We focus on tropical tuna purse seine fisheries (TTPSF) that span across the tropics and extensively rely on floating objects (FOBs) for catching tuna schools, leading to the bycatch of other species associated with these objects. Bycatch under floating objects is dominated by five species, including the vulnerable silky shark Carcharhinus falciformis and four bony fishes (oceanic triggerfish Canthidermis maculata, rainbow runner... |
| Tipo: Text |
Palavras-chave: Bycatch; Habitat modelling; Hotspots; Fisheries observer programs; Geographical extrapolation; Tropical oceans. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00662/77385/78986.pdf |
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