@article{fdi:010074334,
  title = {{F}isheries in life cycle assessment : operational factors for biotic resources depletion},
  author = {{H}elias, {A}. and {L}anglois, {J}. and {F}r{\'e}on, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{L}ife cycle assessment ({LCA}) is the normed and international framework for assessing the environmental impacts of most human activities. {LCA} is commonly used to assess various aspects of fisheries but is only at the onset for estimating impacts of fish removal. {T}his study proposes original characterization factors ({CF}s) to quantify impacts on biotic resources using the mass of fish caught. {T}his mid-point assessment occurs in impact pathways leading to natural resources, one of the three areas of protection in {LCA}, and thus fisheries can be compared according to the depleted stock fraction. {CF}s are defined by the marginal approach applied to the {S}chaefer model, representing the dynamics of the stocks. {T}hey combine catches, current biomass and maximum intrinsic growth rates, determined from the application of the {CMSY} algorithm ({F}roese etal. (2017), {F}ish {F}ish, 18, 506) with {FAO} and {F}ish{B}ase data. {A} multistock {CF} is also proposed and used for multispecies-stocks. {CF}s for the 4,993 stocks defined from global {FAO} areas are obtained and sorted according to the robustness of the model hypotheses. {CF} values among stocks generally tend to decrease when fish catches increase because high catches are generally associated with abundant stocks. {M}ultispecies-stocks {CF}s for the northeast {A}tlantic {O}cean are compared to {ICES}-based {CF}s and are reliable for the main fished stocks. {W}ith this simple and generic structure, this operational fish resource depletion potential could be extended to other biotic resources.},
  keywords = {catch series ; characterization factor ; fishing impact ; impact assessment ; method ; {LCA} ; surplus production model},
  booktitle = {},
  journal = {{F}ish and {F}isheries},
  volume = {19},
  numero = {6},
  pages = {951--963},
  ISSN = {1467-2960},
  year = {2018},
  DOI = {10.1111/faf.12299},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074334},
}