Publications

Scientific papers using the hSDM R package

Authier M., G. Dorémus Ghislain, H. Falchetto, V. Ridoux, and G. Vieilledent. 2016. Estimating marine mammal occupancy with single-visit surveys. Marine Mammal Science. in review.

Pennino M. G., R. Vilela, J. Valeiras, and J. M. Bellido. 2017. Discard management: A spatial multi-criteria approach. Marine Policy. 77: 144 – 151. http://dx.doi.org/10.1016/j.marpol.2016.12.022

Costa T. L., M. G. Pennino, and L. F. Mendes. 2017. Identifying ecological barriers in marine environment: The case study of Dasyatis marianae. Marine Environmental Research, 125, 1-9. http://dx.doi.org/10.1016/j.marenvres.2016.12.005

Plumptre A. J., S. Nixon, D. Kujirakwinja, G. Vieilledent, R. Critchlow, R. Nishuli, A. Kirkby, E. A. Williamson, and J. S. Hall. 2016. Catastrophic decline of world’s largest primate: 80% loss of Grauer’s gorilla (Gorilla beringei graueri) population makes it critically endangered. PLoS ONE. 11(10): e0162697. http://dx.doi.org/10.1371/journal.pone.0162697

Pennino M. G., B. Mérigot, V. P. Fonseca, V. Monni, and A. Rotta. 2016. Habitat modeling for cetacean management: Spatial distribution in the southern Pelagos Sanctuary (Mediterranean Sea). Deep Sea Research Part II: Topical Studies in Oceanography. in press. http://dx.doi.org/10.1016/j.dsr2.2016.07.006

Vilela R., U. Pena, R. Esteban and R. Koemans. 2016. Bayesian spatial modeling of cetacean sightings during a seismic acquisition survey. Marine Pollution Bulletin. 109(1): 512-501. http://dx.doi.org/10.1016/j.marpolbul.2016.05.011

Wilson A. M. and W. Jetz. 2016. Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions. PLoS Biology. 14(3): e1002415. http://dx.doi.org/10.1371/journal.pbio.1002415

Domisch S., A. M. Wilson and W. Jetz. 2015. Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species. Ecography. 39: 1078-1088. http://dx.doi.org/10.1111/ecog.01925

Scientific papers citing the hSDM R package

Herrando S., Keller V., Voříšek P., Kipson M., Franch M., Anton M., Pla M., Villero D., Sierdsema H., Kampichler C., Telenský T., Gillings S., Johnston A., Gottschalk T., Guélat J., Sattler T., Brotons L., Titeux N., Jiguet F., Kéry M., and Milanesi P. (2017). High resolution maps for the second European Breeding Bird Atlas: A first provision of standardised data and pilot modelled maps. Vogelwelt, 2017, vol. 137, p. 33-41. pdf

Guillera-Arroita, G. (2016). Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities. Ecography. 39: 1-15. http://dx.doi.org/10.1111/ecog.02445

Bird, T. J., Bates, A. E., Lefcheck, J. S., Hill, N. A., Thomson, R. J., Edgar, G. J., … and Pecl, G. T. (2014). Statistical solutions for error and bias in global citizen science datasets. Biological Conservation. 173: 144-154. http://dx.doi.org/10.1016/j.biocon.2013.07.037

Lee, D. (2013). CARBayes: An R package for Bayesian spatial modeling with conditional autoregressive priors. Journal of Statistical Software. 55(13): 1-24. http://dx.doi.org/10.18637/jss.v055.i13

Mazerolle, M. J. (2015). Estimating Detectability and Biological Parameters of Interest with the Use of the R Environment. Journal of Herpetology. 49(4):541-559. http://dx.doi.org/10.1670/14-075

Thuiller, W. (2014). Editorial commentary on “BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change”. Global Change Biology. 20: 3591-3592. http://dx.doi.org/10.1111/gcb.12728