@article{fdi:010068699,
  title = {{S}ympathy for the devil : detailing the effects of planning-unit size, thematic resolution of reef classes, and socioeconomic costs on spatial priorities for marine conservation},
  author = {{C}heok, {J}. and {P}ressey, {R}. {L}. and {W}eeks, {R}. and {A}ndr{\'e}fou{\¨e}t, {S}erge and {M}oloney, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patial data characteristics have the potential to influence various aspects of prioritising bio-diversity areas for systematic conservation planning. {T}here has been some exploration of the combined effects of size of planning units and level of classification of physical environments on the pattern and extent of priority areas. {H}owever, these data characteristics have yet to be explicitly investigated in terms of their interaction with different socioeconomic cost data during the spatial prioritisation process. {W}e quantify the individual and interacting effects of three factors-planning-unit size, thematic resolution of reef classes, and spatial variability of socioeconomic costs-on spatial priorities for marine conservation, in typical marine planning exercises that use reef classification maps as a proxy for biodiversity. {W}e assess these factors by creating 20 unique prioritisation scenarios involving combinations of different levels of each factor. {B}ecause output data from these scenarios are analogous to ecological data, we applied ecological statistics to determine spatial similarities between reserve designs. {A}ll three factors influenced prioritisations to different extents, with cost variability having the largest influence, followed by planning-unit size and thematic resolution of reef classes. {T}he effect of thematic resolution on spatial design depended on the variability of cost data used. {I}n terms of incidental representation of conservation objectives derived from finer-resolution data, scenarios prioritised with uniform cost outperformed those prioritised with variable cost. {F}ollowing our analyses, we make recommendations to help maximise the spatial and cost efficiency and potential effectiveness of future marine conservation plans in similar planning scenarios. {W}e recommend that planners: employ the smallest planning-unit size practical; invest in data at the highest possible resolution; and, when planning across regional extents with the intention of incidentally representing fine-resolution features, prioritise the whole region with uniform costs rather than using coarse-resolution data on variable costs.},
  keywords = {{FIDJI} ; {MICRONESIE}},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {11},
  numero = {11},
  pages = {e0164869 [25 p.]},
  ISSN = {1932-6203},
  year = {2016},
  DOI = {10.1371/journal.pone.0164869},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068699},
}