@article{fdi:010095943,
  title = {{H}igh-resolution species distribution modelling of two coastal biogenic habitat-forming species in an {E}cologically and {B}iologically {S}ignificant {A}rea of the {B}ay of {F}undy, {C}anada},
  author = {{M}ireault, {C}. {A}. and {L}awton, {P}. and {M}isiuk, {B}. and {T}eed, {L}. {L}. and {B}rown, {C}. {J}. and {D}evillers, {R}odolphe},
  editor = {},
  language = {{ENG}},
  abstract = {{H}igh-resolution species distribution models ({SDM}s) were developed for two benthic invertebrate species of marine conservation significance across a 113 km2 {E}cologically and {B}iologically {S}ignificant {A}rea of the {B}ay of {F}undy, {C}anada. {T}he stalked tunicate, {B}oltenia ovifera, and horse mussel, {M}odiolus modiolus, can form coastal biogenic habitat and are vulnerable to disturbance. {A} near-seabed imaging survey (depths ranging from 8 to 79 m) provided presence, absence, and abundance data for both species. {B}oosted regression tree {SDM}s combined these data with 11 environmental variables. {P}resence-probability distributions were generated; however, abundance patterns could not be adequately modelled. {O}blique geographic coordinates, which incorporate location of samples as information, proved useful for predicting species presence, along with seabed rugosity, maximum current speed and bathymetry for {B}. ovifera, and maximum and minimum current speed along with seabed rugosity for {M}. modiolus. {H}igh-resolution {SDM}s (in this case, 5 m grid) provide enhanced spatial context for ocean managers toward marine spatial planning in high-use coastal marine environments where bottom contact fisheries access and other coastal development must be balanced against marine conservation objectives.},
  keywords = {coastal biogenic habitat ; {E}cologically and {B}iologically {S}ignificant {A}rea ({EBSA}) ; species distribution modelling ; marine conservation ; benthic habitat mapping ; {CANADA}},
  booktitle = {},
  journal = {{C}anadian {J}ournal of {F}isheries and {A}quatic {S}ciences},
  volume = {82},
  numero = {},
  pages = {0126 [18 ]},
  ISSN = {0706-652{X}},
  year = {2025},
  DOI = {10.1139/cjfas-2025-0126},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095943},
}