@article{fdi:010091302,
  title = {{T}hree-dimensional conservation planning of fish biodiversity metrics to achieve the deep-sea 30x30 conservation target},
  author = {{M}athon, {L}. and {B}aletaud, {F}. and {L}ebourges {D}haussy, {A}nne and {L}ecellier, {G}ael and {M}enk{\`e}s, {C}hristophe and {B}achelier, {C}{\'e}line and {B}onneville, {C}laire and {D}ejean, {T}. and {D}umas, {M}. and {F}iat, {S}ylvie and {G}relet, {J}acques and {H}abasque, {J}{\'e}r{\'e}mie and {M}anel, {S}. and {M}annocci, {L}aura and {M}ouillot, {D}. and {P}eran, {M}. and {R}oudaut, {G}ildas and {S}idobre, {C}. and {V}arillon, {D}avid and {V}igliola, {L}aurent},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ccelerating rate of human impact and environmental change severely affects marine biodiversity and increases the urgency to implement the {C}onvention on {B}iological {D}iversity ({CBD}) 30x30 plan for conserving 30% of sea areas by 2030. {H}owever, area-based conservation targets are complex to identify in a 3-dimensional (3{D}) ocean where deep-sea features such as seamounts have been seldom studied mostly due to challenging methodologies to implement at great depths. {Y}et, the use of emerging technologies, such as environmental {DNA} combined with modern modeling frameworks, could help address the problem. {W}e collected environmental {DNA}, echosounder acoustic, and video data at 15 seamounts and deep island slopes across the {C}oral {S}ea. {W}e modeled 7 fish community metrics and the abundances of 45 individual species and molecular operational taxonomic units ({MOTU}s) in benthic and pelagic waters (down to 600-m deep) with boosted regression trees and generalized joint attribute models to describe biodiversity on seamounts and deep slopes and identify 3{D} protection solutions for achieving the {CBD} area target in {N}ew {C}aledonia (1.4 million km2). {W}e prioritized the identified conservation units in a 3{D} space, based on various biodiversity targets, to meet the goal of protecting at least 30% of the spatial domain, with a focus on areas with high biodiversity. {T}he relationship between biodiversity protection targets and the spatial area protected by the solution was linear. {T}he scenario protecting 30% of each biodiversity metric preserved almost 30% of the considered spatial domain and accounted for the 3{D} distribution of biodiversity. {O}ur study paves the way for the use of combined data collection methodologies to improve biodiversity estimates in 3{D} structured marine environments for the selection of conservation areas and for the use of biodiversity targets to achieve area-based international targets.},
  keywords = {3{D} conservation planning ; acoustic ; biodiversity modeling ; {BRUVS} ; deep sea ; e{DNA} ; seamounts ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{C}onservation {B}iology},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[13 p.]},
  ISSN = {0888-8892},
  year = {2024},
  DOI = {10.1111/cobi.14368},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091302},
}