@article{fdi:010097344,
  title = {{E}nvironmental {DNA} metabarcoding reveals hidden fish diversity and strong habitat partitioning across coastal ecosystems in the {C}on {D}ao {A}rchipelago, {V}ietnam},
  author = {{P}ham, {H}. {M}. and {P}anfili, {J}acques and {H}oang, {H}. {D}. and {S}imier, {M}onique and {M}iya, {M}. and {D}urand, {J}ean-{D}ominique},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {C}on {D}ao archipelago hosts the oldest {MPA} in {V}ietnam and is recognized as a regional marine biodiversity hotspot. {H}ere, we applied environmental {DNA} (e{DNA}) metabarcoding to assess coastal fish diversity across four major habitat types: coral reefs, seagrass beds, mangroves, and a harbour in the {C}on {D}ao archipelago. {U}sing {M}i{F}ish-{U} 12{S} primers at eight stations, we detected 282 operational taxonomic units, corresponding to 144 fish taxa. {F}ish assemblages exhibited strong habitat structuring: community composition differed markedly among habitats, with minimal overlap. {O}nly three species were shared across all habitats. {M}ultivariate analyses confirmed that habitat type, rather than spatial distance among sites, was the primary driver of community differentiation. {M}angrove and seagrass supported distinct assemblages that were underrepresented in existing species checklists and {MPA} management frameworks. {N}otably, e{DNA} detected cryptic and non-commercial species overlooked by conventional survey methods. {T}hese results substantially expand the known fish diversity of the {C}on {D}ao {A}rchipelago and highlight the need to incorporate habitat heterogeneity, particularly non-reef ecosystems, into {MPA} design and monitoring. {A}lthough e{DNA} metabarcoding is subject to amplification biases and limited taxonomic resolution in reference databases, it offers a powerful complement to traditional surveys for characterizing under-sampled habitats.},
  keywords = {coastal habitats ; e{DNA} ; fishes ; {I}ndo-{P}acific ; marine protected area ; {VIET} {NAM} ; {OCEAN} {INDIEN} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{D}iversity},
  volume = {18},
  numero = {5},
  pages = {255 [18 p.]},
  year = {2026},
  DOI = {10.3390/d18050255},
  URL = {https://www.documentation.ird.fr/hor/fdi:010097344},
}