@article{fdi:010061377,
  title = {{O}bjective sampling design in a highly heterogeneous landscape - characterizing environmental determinants of malaria vector distribution in {F}rench {G}uiana, in the {A}mazonian region},
  author = {{R}oux, {E}mmanuel and {G}aborit, {P}. and {R}omana, {C}.{A}. and {G}irod, {R}. and {D}essay, {N}adine and {D}usfour, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {S}ampling design is a key issue when establishing species inventories and characterizing habitats within highly heterogeneous landscapes. {S}ampling efforts in such environments may be constrained and many field studies only rely on subjective and/or qualitative approaches to design collection strategy. {T}he region of {C}acao, in {F}rench {G}uiana, provides an excellent study site to understand the presence and abundance of {A}nopheles mosquitoes, their species dynamics and the transmission risk of malaria across various environments. {W}e propose an objective methodology to define a stratified sampling design. {F}ollowing thorough environmental characterization, a factorial analysis of mixed groups allows the data to be reduced and non-collinear principal components to be identified while balancing the influences of the different environmental factors. {S}uch components defined new variables which could then be used in a robust k-means clustering procedure. {T}hen, we identified five clusters that corresponded to our sampling strata and selected sampling sites in each stratum. {R}esults: {W}e validated our method by comparing the species overlap of entomological collections from selected sites and the environmental similarities of the same sites. {T}he {M}orisita index was significantly correlated ({P}earson linear correlation) with environmental similarity based on i) the balanced environmental variable groups considered jointly (p = 0.001) and ii) land cover/use (p-value<<0.001). {T}he {J}accard index was significantly correlated with land cover/use-based environmental similarity (p-value = 0.001). {C}onclusions: {T}he results validate our sampling approach. {L}and cover/use maps (based on high spatial resolution satellite images) were shown to be particularly useful when studying the presence, density and diversity of {A}nopheles mosquitoes at local scales and in very heterogeneous landscapes.},
  keywords = {{GUYANE} ; {AMAZONIE}},
  booktitle = {},
  journal = {{BMC} {E}cology},
  volume = {13},
  numero = {},
  pages = {45},
  ISSN = {1472-6785},
  year = {2013},
  DOI = {10.1186/1472-6785-13-45},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061377},
}