@article{fdi:010035838,
  title = {{E}stimation of the nesting season of marine turtles from incomplete data : statistical adjustment of a sinusoidal function},
  author = {{G}ratiot, {N}icolas and {G}ratiot, {J}. and {K}elle, {L}. and {T}hoisy, {B}. de},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ecause of logistical and financial constraints, nest counts of marine turtles are often limited in time and space. {T}o overcome this difficulty, we developed a numerical model that fits the seasonal pattern of marine turtles nesting from complete or fragmented datasets. {T}he duration of the main nesting season, the position and amplitude of its maximum as well as the residual number of nests, outside of the main season are obtained numerically by a least square adjustment. {F}or the seven complete time series at our disposal ({D}ermochelys coriacea and {L}epidochelys olivacea turtles, coast of {F}rench {G}uiana), the model reproduces the seasonal pattern with a correlation of r >= 0.97. {W}hen applied on a fragmented dataset, the model accuracy depends on the duration and on the temporal distribution of the monitoring (effort equally distributed during the entire season or concentrated on a part of it only). {A}s a result of this study, we clearly advocate a strategy of monitoring distributed all over the nesting season. {F}ollowing this recommendation, the model estimates the annual number of nests with a median error lower than 10% when considering only 50 days of monitoring.},
  keywords = {marine turtle ; nesting counts ; {D}ermochelys coriacea ; {L}epidochelys olivacea ; {C}helonia mydas},
  booktitle = {},
  journal = {{A}nimal {C}onservation},
  volume = {9},
  numero = {1},
  pages = {95--102},
  ISSN = {1367-9430},
  year = {2006},
  DOI = {10.1111/j.1469-1795.2005.00015.x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010035838},
}