@article{fdi:010066087,
  title = {{D}esigning climate-resilient marine protected area networks by combining remotely sensed coral reef habitat with coastal multi-use maps},
  author = {{M}aina, {J}. {M}. and {J}ones, {K}. {R}. and {H}icks, {C}. {C}. and {M}c{C}lanahan, {T}. {R}. and {W}atson, {J}. {E}. {M}. and {T}uda, {A}. {O}. and {A}ndr{\'e}fou{\¨e}t, {S}erge},
  editor = {},
  language = {{ENG}},
  abstract = {{D}ecision making for the conservation and management of coral reef biodiversity requires an understanding of spatial variability and distribution of reef habitat types. {D}espite the existence of very high-resolution remote sensing technology for nearly two decades, comprehensive assessment of coral reef habitats at national to regional spatial scales and at very high spatial resolution is still scarce. {H}ere, we develop benthic habitat maps at a sub-national scale by analyzing large multispectral {Q}uick{B}ird imagery dataset covering similar to 686 km(2) of the main shallow coral fringing reef along the southern border with {T}anzania (4.68 degrees {S}, 39.18 degrees {E}) to the reef end at {M}alindi, {K}enya (3.2 degrees {S}, 40.1 degrees {E}). {M}apping was conducted with a user approach constrained by ground-truth data, with detailed transect lines from the shore to the fore reef. {F}irst, maps were used to evaluate the present management system's effectiveness at representing habitat diversity. {T}hen, we developed three spatial prioritization scenarios based on differing objectives: (i) minimize lost fishing opportunity; (ii) redistribute fisheries away from currently overfished reefs; and (iii) minimize resource use conflicts. {W}e further constrained the priority area in each prioritization selection scenario based on optionally protecting the least or the most climate exposed locations using a model of exposure to climate stress. {W}e discovered that spatial priorities were very different based on the different objectives and on whether the aim was to protect the least or most climate-exposed habitats. {O}ur analyses provide a spatially explicit foundation for large-scale conservation and management strategies that can account for ecosystem service benefits.},
  keywords = {{A}frica ; climate adaptation strategies ; coral and seagrass habitat ; {I}ndian {O}cean ; multi-stakeholder use ; {M}arxan ; scenario analysis ; {KENYA} ; {OCEAN} {INDIEN}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {7},
  numero = {12},
  pages = {16571--16587},
  ISSN = {2072-4292},
  year = {2015},
  DOI = {10.3390/rs71215849},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066087},
}