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| Meynard, Christine N.; Kaplan, David; Leroy, Boris. |
| Liu et al. (2018) used a virtual species approach to test the effects of outliers on species distribution models. In their simulations, they applied a threshold value over the simulated suitabilities to generate the species distributions, suggesting that using a probabilistic simulation approach would have been more complex and yield the same results. Here, we argue that using a probabilistic approach is not necessarily more complex and may significantly change results. Although the threshold approach may be justified under limited circumstances, the probabilistic approach has multiple advantages. First, it is in line with ecological theory, which largely assumes non‐threshold responses. Second, it is more general, as it includes the threshold as a... |
| Tipo: Text |
Palavras-chave: ENM; Observation errors; Outliers; Prevalence; Probabilistic approach; Sample bias; Simulations; Species distribution models; Virtual ecology; Virtual species. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00501/61309/64868.pdf |
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| Albouy, Camille; Lasram, Frida Ben Rais; Velez, Laure; Guilhaumon, François; Meynard, Christine N.; Boyer, Séverine; Benestan, Laura; Mouquet, Nicolas; Douzery, Emmanuel; Aznar, Roland; Troussellier, Marc; Somot, Samuel; Leprieur, Fabien; Le Loc'H, François; Mouillot, David. |
| The FishMed database provides traits, phylogeny, current and projected species distribution of Mediterranean fishes, and associated sea surface temperature (SST) from the regional oceanic model NEMOMED8. Data for the current geographical distributions of 635 Mediterranean fish species were compiled from a published expert knowledge atlas of fishes of the northern Atlantic and the Mediterranean (FNAM) edited between 1984 and 1986 and from an updated exotic fish species list. Two future sets of projected species distributions were obtained for the middle and end of the 21st century by using an ensemble forecasting approach for 288 coastal Mediterranean fish species based on SST according to the IPPC/SRES A2 scenario implemented with the Mediterranean... |
| Tipo: Text |
Palavras-chave: Climate change; Coastal fishes; Functional diversity; Mediterranean fish species; Mediterranean Sea; NEMOMED8; Phylogenetic diversity; Species distribution models; Taxonomic diversity. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00371/48216/48341.pdf |
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| Granger, Victoria; Fromentin, Jean-marc; Bez, Nicolas; Relini, Giulio; Meynard, Christine N.; Gaertner, Jean-claude; Maiorano, Porzia; Garcia Ruiz, Cristina; Follesa, Cristina; Gristina, Michele; Peristeraki, Panagiota; Brind'Amour, Anik; Carbonara, Pierluigi; Charilaou, Charis; Esteban, Antonio; Jadaud, Angelique; Joksimovic, Aleksandar; Kallianiotis, Argyris; Kolitari, Jerina; Manfredi, Chiara; Massuti, Enric; Mifsud, Roberta; Quetglas, Antoni; Refes, Wahid; Sbrana, Mario; Vrgoc, Nedo; Spedicato, Maria Teresa; Merigot, Bastien. |
| Increasing human pressures and global environmental change may severely affect the diversity of species assemblages and associated ecosystem services. Despite the recent interest in phylogenetic and functional diversity, our knowledge on large spatio-temporal patterns of demersal fish diversity sampled by trawling remains still incomplete, notably in the Mediterranean Sea, one of the most threatened marine regions of the world. We investigated large spatio-temporal diversity patterns by analysing a dataset of 19,886 hauls from 10 to 800 m depth performed annually during the last two decades by standardized scientific bottom trawl field surveys across the Mediterranean Sea, within the MEDITS program. A multi-component (eight diversity indices) and... |
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| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00216/32743/31322.pdf |
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| Henckel, Laura; Meynard, Christine N.; Devictor, Vincent; Mouquet, Nicolas; Bretagnolle, Vincent. |
| The relative contribution of ecological processes in shaping metacommunity dynamics in heavily managed landscapes is still unclear. Here we used two complementary approaches to disentangle the role of environment and spatial effect in farmland bird community assembly in an intensive agro-ecosystem. We hypothesized that the interaction between habitat patches and dispersal should play a major role in such unstable and unpredictable environments. First, we used a metacommunity patterns analysis to characterize species co-occurrences and identify the main drivers of community assembly; secondly, variation partitioning was used to disentangle environmental and geographical factors (such as dispersal limitation) on community structure and composition. We used... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00485/59656/62690.pdf |
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| Mouillot, David; Albouy, Camille; Guilhaumon, Francois; Lasram, Frida Ben Rais; Coll, Marta; Devictor, Vincent; Meynard, Christine N.; Pauly, Daniel; Tomasini, Jean-antoine; Troussellier, Marc; Velez, Laure; Watson, Reg; Douzery, Emmanuel J. P.; Mouquet, Nicolas. |
| The Mediterranean Sea (0.82% of the global oceanic surface) holds 4%-18% of all known marine species (similar to 17,000), with a high proportion of endemism [1, 2]. This exceptional biodiversity is under severe threats [1] but benefits from a system of 100 marine protected areas (MPAs). Surprisingly, the spatial congruence of fish biodiversity hot spots with this MPA system and the areas of high fishing pressure has not been assessed. Moreover, evolutionary and functional breadth of species assemblages [3] has been largely overlooked in marine systems. Here we adopted a multifaceted approach to biodiversity by considering the species richness of total, endemic, and threatened coastal fish assemblages as well as their functional and phylogenetic diversity.... |
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| Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00040/15109/12606.pdf |
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| Meynard, Christine N.; Leroy, Boris; Kaplan, David. |
| Species distribution models (SDMs) have become one of the major predictive tools in ecology. However, multiple methodological choices are required during the modelling process, some of which may have a large impact on forecasting results. In this context, virtual species, i.e., the use of simulations involving a fictitious species for which we have perfect knowledge of its occurrence‐environment relationships and other relevant characteristics, have become increasingly popular to test SDMs. This approach provides for a simple virtual ecologist framework under which to test model properties, as well as the effects of the different methodological choices, and allows teasing out the effects of targeted factors with great certainty. This simplification is... |
| Tipo: Text |
Palavras-chave: Artificial species; Environmental niche models; Niche; Simulations; Species distribution modelling; Virtual ecologist. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00501/61308/64864.pdf |
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