@article{fdi:010067698,
  title = {{F}ish{MORPH} - {A}n agent-based model to predict salmonid growth and distribution responses under natural and low flows},
  author = {{P}hang, {S}. {C}. and {S}tillman, {R}. {A}. and {C}ucherousset, {J}. and {B}ritton, {J}. {R}. and {R}oberts, {D}. and {B}eaumont, {W}. {R}. {C}. and {G}ozlan, {R}odolphe},
  editor = {},
  language = {{ENG}},
  abstract = {{P}redicting fish responses to modified flow regimes is becoming central to fisheries management. {I}n this study we present an agent-based model ({ABM}) to predict the growth and distribution of young-of-the-year ({YOY}) and one-year-old (1+) {A}tlantic salmon and brown trout in response to flow change during summer. {A} field study of a real population during both natural and low flow conditions provided the simulation environment and validation patterns. {V}irtual fish were realistic both in terms of bioenergetics and feeding. {W}e tested alternative movement rules to replicate observed patterns of body mass, growth rates, stretch distribution and patch occupancy patterns. {N}otably, there was no calibration of the model. {V}irtual fish prioritising consumption rates before predator avoidance replicated observed growth and distribution patterns better than a purely maximising consumption rule. {S}tream conditions of low predation and harsh winters provide ecological justification for the selection of this behaviour during summer months. {O}verall, the model was able to predict distribution and growth patterns well across both natural and low flow regimes. {T}he model can be used to support management of salmonids by predicting population responses to predicted flow impacts and associated habitat change.},
  keywords = {{ANGLETERRE}},
  booktitle = {},
  journal = {{S}cientific {R}eports - {N}ature},
  volume = {6},
  numero = {},
  pages = {art. 29414 [13 p.]},
  ISSN = {2045-2322},
  year = {2016},
  DOI = {10.1038/srep29414},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067698},
}