@article{fdi:010057122,
  title = {{Y}oung-of-the-year fish assemblages as indicators of anthropogenic disturbances in large tributaries of the {S}eine {R}iver {B}asin ({F}rance)},
  author = {{L}eclere, {J}. and {B}elliard, {J}. and {O}berdorff, {T}hierry},
  editor = {},
  language = {{ENG}},
  abstract = {{A} variety of indices targeting a number of different biological assemblages have been developed to assess aquatic ecosystem condition, identify the drivers of alteration and provide information on possible restoration measures. {F}ish-based indices, commonly focused on adult assemblages, are capable of indicating declines in condition, but often provide limited information on the ultimate causes for the observed changes. {U}sing young-of-the-year ({YOY}) fish assemblages has been suggested as a means of improving the sensitivity of fish-based indicators. {T}o verify this assumption, we first model, using boosted regression trees, the occurrence of 16 {YOY} fish species as a function of twenty two environmental factors in 227 reference (i.e., least disturbed) habitats located in the river {S}eine ({F}rance) and its two main tributaries (i.e., {O}ise and {M}arne rivers). {W}e then validate the species models using an independent dataset of 74 reference habitats. {F}inally, using three independent data sets reflecting different categories of disturbances (i.e., physico-chemical disturbances, physical disturbances induced by navigation and a mix of both disturbances), we measure the deviation between expected and observed species occurrences to evaluate our species models ability in detecting these disturbances. {T}he models are ecologically meaningful and overall perform well in discriminating between reference and disturbed habitats, showing a stable response for all unimpaired habitats and highlighting the main habitat disturbances tested.},
  keywords = {{Y}oung-of-the-year fishes ; {L}arge rivers ; {P}redictive models ; {A}nthropogenic disturbances ; {M}achine learning},
  booktitle = {},
  journal = {{H}ydrobiologia},
  volume = {694},
  numero = {1},
  pages = {99--116},
  ISSN = {0018-8158},
  year = {2012},
  DOI = {10.1007/s10750-012-1135-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057122},
}