@article{fdi:010044189,
  title = {{A} stochastic approach to marine reserve design : incorporating data uncertainty},
  author = {{B}eech, {T}. and {D}owd, {M}. and {F}ield, {C}. and {H}atcher, {B}. and {A}ndr{\'e}fou{\¨e}t, {S}erge},
  editor = {},
  language = {{ENG}},
  abstract = {{M}arine reserves, or protected areas, are used to meet an array of biodiversity and conservation objectives. {T}he design of regional networks of marine reserves is concerned with the problem of where to place the marine protected areas and how to spatially configure them. {Q}uantitative methods for doing this provide important decision support tools for marine managers, {T}he central problem is to balance the costs and benefits of the reserve network, whilst satisfying conservation objectives (hence solving a constrained optimization problem). {C}urrent optimization algorithms for reserve design are widely used, but none allow for the systematic incorporation of data uncertainty and its effect on the reserve design solutions. {T}he central purpose of this study is to provide a framework for incorporating uncertain ecological input data into algorithms for designing networks of marine reserves. {I}n order to do this, a simplified version of the marine reserve design optimization problem is considered. {A} {M}etropolis-{H}astings random search procedure is introduced to systematically sample the model solution space and converge on an optimal reserve design. {I}ncorporation of the uncertain input data builds on this process and relies on a parametric bootstrapping procedure. {T}his allows for the solution (i.e, the marine reserve design) to be expressed as the probability of any planning unit being included in the marine reserve network. {S}patial plots of this acceptance probability are easily interpretable for decision making under uncertainty. {T}he bootstrapping methodology is also readily adapted to existing comprehensive reserve design algorithms. {H}ere, a preliminary application of the algorithm is made to the {M}esoamerican {B}arrier {R}eef {S}ystem (in the {C}aribbean {S}ea) based on satellite-derived and mapped conservation features (from {L}andsat).},
  keywords = {{M}arine reserve design ; {MPA} ; {D}ecision support ; {D}ata uncertainty ; {O}ptimization ; {M}arkov {C}hain {M}onte {C}arlo ; {I}nteger programming ; {M}etropolis-{H}astings algorithm ; {B}ootstrapping ; {R}emote sensing ; {C}oral ; reefs ; {L}andsat-7},
  booktitle = {},
  journal = {{E}cological {I}nformatics},
  volume = {3},
  numero = {4-5},
  pages = {321--333},
  ISSN = {1574-9541},
  year = {2008},
  DOI = {10.1016/j.ecoinf.2008.09.001},
  URL = {https://www.documentation.ird.fr/hor/fdi:010044189},
}