@article{fdi:010062708,
  title = {{T}owards a better understanding of potential impacts of climate change on marine species distribution : a multiscale modelling approach},
  author = {{H}attab, {T}. and {A}lbouy, {C}. and {L}asram, {F}. {B}. and {S}omot, {S}. and {L}e {L}oc'h, {F}ran{\c{c}}ois and {L}eprieur, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}im : {I}n this paper, we applied the concept of hierarchical filters' in community ecology to model marine species distribution at nested spatial scales. {L}ocation : {G}lobal, {M}editerranean {S}ea and the {G}ulf of {G}abes ({T}unisia). {M}ethods : {W}e combined the predictions of bioclimatic envelope models ({BEM}s) and habitat models to assess the current distribution of 20 exploited marine species in the {G}ulf of {G}abes. {BEM}s were first built at a global extent to account for the full range of climatic conditions encountered by a given species. {H}abitat models were then built using fine-grained habitat variables at the scale of the {G}ulf of {G}abes. {W}e also used this hierarchical filtering approach to project the future distribution of these species under both climate change (the {A}2 scenario implemented with the {M}editerranean climatic model {NEMOMED}8) and habitat loss (the loss of {P}osidonia oceanica meadows) scenarios. {R}esults : {T}he hierarchical filtering approach predicted current species geographical ranges to be on average 56% smaller than those predicted using the {BEM}s alone. {T}his pattern was also observed under the climate change scenario. {C}ombining the habitat loss and climate change scenarios indicated that the magnitude of range shifts due to climate change was larger than from the loss of {P}. oceanica meadows. {M}ain conclusions : {O}ur findings emphasize that {BEM}s may overestimate current and future ranges of marine species if species-habitat relationships are not also considered. {A} hierarchical filtering approach that accounts for fine-grained habitat variables limits the uncertainty associated with model-based recommendations, thus ensuring their outputs remain applicable within the context of marine resource management.},
  keywords = {{C}limate change ; exploited species ; habitat loss ; hierarchical filtering ; {M}editerranean {S}ea ; spatial scale ; species distribution modelling ; {MEDITERRANEE} ; {GABES} {GOLFE} ; {TUNISIE}},
  booktitle = {},
  journal = {{G}lobal {E}cology and {B}iogeography},
  volume = {23},
  numero = {12},
  pages = {1417--1429},
  ISSN = {1466-822{X}},
  year = {2014},
  DOI = {10.1111/geb.12217},
  URL = {https://www.documentation.ird.fr/hor/fdi:010062708},
}