@article{fdi:010048325,
  title = {{A}nalytical approaches to investigating seabird-environment interactions : a review},
  author = {{T}remblay, {Y}ann and {B}ertrand, {S}ophie and {H}enry, {R}. {W}. and {K}appes, {M}. {A}. and {C}osta, {D}. {P}. and {S}haffer, {S}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} goal of seabird ecology is to relate the physiology, population dynamics, distribution and behaviour of seabirds with their biotic and abiotic environments. {O}ne of the most challenging aspects is to understand how seabirds interact with their environment when direct observations are not always possible or practical. {I}n the present paper, we reviewed 218 published studies that examined associations between seabird distribution, behaviour and their environment, in order to assess current trends, weaknesses and the future directions of research. {B}ased on the number of publications, it is evident that the field is growing rapidly and that methods for evaluating seabird distribution are becoming increasingly more sophisticated and are changing from {E}ulerian (grid-like) to {L}agrangian (particle-like) data types. {T}his has been accompanied by a reduction in the spatial and temporal scale of observation, where, in most cases, no behavioural information is inferred from {L}agrangian data; instead they are often used as if they were {E}ulerian data. {I}n parallel, environmental remote sensing is becoming more common; however, we did not record significant changes in the statistical approaches used to describe seabird distributions and used to link them with oceanographic variables. {I}n particular, despite the spatially explicit nature of the data, spatial statistics have rarely been used. {T}he vast majority of studies used environmental variables that described water masses (descriptive approach), whereas a few studies determined oceanographic features that enhance prey availability to seabirds (process-based approach). {F}uture studies could enhance their ecological interpretation of seabird-environment interactions by making greater use of ad hoc statistical approaches that facilitate appropriate pattern detection (e.g. area-restricted searching pattern for birds, mesoscale patterns for environment). {F}urthermore, appropriate hypothesis testing and modelling that accounts for the spatially explicit, multiscale and multivariate nature of the interaction between seabirds and their habitats is recommended. {A}lthough quantitative methods currently exist (but are rarely used), further application could greatly improve our understanding of the processes linking seabird distribution to their environment.},
  keywords = {{H}abitat ; {T}op-predators ; {S}eabirds ; {I}nteractions ; {S}urveys ; {T}racking ; {M}ethods ; {A}t-sea ecology},
  booktitle = {},
  journal = {{M}arine {E}cology - {P}rogress {S}eries},
  volume = {391},
  numero = {},
  pages = {153--163},
  ISSN = {0171-8630},
  year = {2009},
  DOI = {10.3354/meps08146},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048325},
}