@article{fdi:010091060,
  title = {{E}valuating the e{DNA} spatial signal in natural populations and its application for the monitoring of the threatened {H}arttiella ({S}iluriformes, {L}oricariidae)},
  author = {{C}ondachou, {C}. and {C}outant, {O}pale and {B}rosse, {S}. and {M}urienne, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}o face the current downward trajectory of freshwater biodiversity loss, the implementation of effective biodiversity monitoring programs is of utmost importance. {E}nvironmental {DNA} offers unprecedented opportunities for this aim but several challenges still need to be addressed before implementing efficient species monitoring using e{DNA}. {O}ne of them is optimizing the e{DNA} sampling scheme to maximize the e{DNA} detection probability. {F}or instance, in flowing freshwaters, the transport of e{DNA} downstream from its source can impact the e{DNA} detection probability, and blur the link between e{DNA} detection and the local occurrence of the species. {H}ere, we investigated the e{DNA} spatial range of {H}arttiella lucifer ({S}iluriformes, {L}oricariidae), a threatened neotropical siluriform fish inhabiting {F}rench {G}uianese mountain streams, and confined to waterfalls and fast-flowing environments. {E}nvironmental samples were collected at 11 sites from the {H}. lucifer population to 2000 m downstream. {A} species-specific d{PCR} approach was applied to quantify the amount of {DNA} present in each sample and evaluate the e{DNA} detection probability of {H}. lucifer according to the distance from its source. {R}esults showed an accumulation of e{DNA} at 50 and 100 m downstream from {H}. lucifer population. {T}he evaluation of detection probabilities revealed that 300 m downstream from {H}. lucifer population, the probability of detection drops to 50%. {T}his study suggests that e{DNA} drift in neotropical small streams is limited to a few tens meters downstream. {T}hese findings demonstrate that in neotropical small streams, e{DNA} provides a picture of the local fish fauna rather than integrating information over large spatial scales.},
  keywords = {{GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{L}imnology and {O}ceanography-{M}ethods},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[10 p.]},
  ISSN = {1541-5856},
  year = {2024},
  DOI = {10.1002/lom3.10634},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091060},
}