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| Fernandes, Paul G.; Ralph, Gina M.; Nieto, Ana; Criado, Mariana Garcia; Vasilakopoulos, Paraskevas; Maravelias, Christos D.; Cook, Robin M.; Pollom, Riley A.; Kovacic, Marcelo; Pollard, David; Farrell, Edward D.; Florin, Ann-britt; Polidoro, Beth A.; Lawson, Julia M.; Lorance, Pascal; Uiblein, Franz; Craig, Matthew; Allen, David J.; Fowler, Sarah L.; Walls, Rachel H. L.; Comeros-raynal, Mia T.; Harvey, Michael S.; Dureuil, Manuel; Biscoito, Manuel; Pollock, Caroline; Phillips, Sophy R. Mccully; Ellis, Jim R.; Papaconstantinou, Constantinos; Soldo, Alen; Keskin, Cetin; Knudsen, Steen Wilhelm; Gil De Sola, Luis; Serena, Fabrizio; Collette, Bruce B.; Nedreaas, Kjell; Stump, Emilie; Russell, Barry C.; Garcia, Silvia; Afonso, Pedro; Jung, Armelle B. J.; Alvarez, Helena; Delgado, Joao; Dulvy, Nicholas K.; Carpenter, Kent E.. |
| Europe has a long tradition of exploiting marine fishes and is promoting marine economic activity through its Blue Growth strategy. This increase in anthropogenic pressure, along with climate change, threatens the biodiversity of fishes and food security. Here, we examine the conservation status of 1,020 species of European marine fishes and identify factors that contribute to their extinction risk. Large fish species (greater than 1.5 m total length) are most at risk; half of these are threatened with extinction, predominantly sharks, rays and sturgeons. This analysis was based on the latest International Union for Conservation of Nature (IUCN) European regional Red List of marine fishes, which was coherent with assessments of the status of fish stocks... |
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| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00416/52739/53608.pdf |
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| Woillez, Mathieu; Rivoirard, Jacques; Fernandes, Paul G.. |
| Geostatistical simulations, which can reproduce the spatial variability of a variable, are particularly helpful in estimating the uncertainty associated with the combination of different sources of variability. Acoustic surveys offer an example of such complex situations, where different data (e.g. acoustic backscatter, fish length, and fish age) must be combined to estimate abundance and its associated uncertainty. In this paper, the uncertainty of Scottish herring acoustic-survey estimates is investigated using these techniques. A specific multivariate, geostatistical model is used to describe the structural relationships, which includes highly skewed distributions of the acoustic-backscatter data and incorporates relationships between depth, mean... |
| Tipo: Text |
Palavras-chave: Scottish herring; Geostatistics; Conditional simulations; Acoustic survey. |
| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/2009/publication-6760.pdf |
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