# Publications

Updated list of scientific articles using or citing `hSDM` is available on Google Scholar.

Articles using hSDM: Domisch et al. (2019), Domisch et al. (2019), DellApa et al. (2018), Specht (2018), Humphreys (2018), Pennino et al. (2017 b), Costa, Pennino & Mendes (2017), Pennino et al. (2017 a), Plumptre et al. (2016), Vilela et al. (2016), Wilson & Jetz (2016), Domisch, Wilson & Jetz (2016)

Articles citing hSDM: Clark & Altwegg (2019), Martínez-Minaya et al. (2018), Herrando et al. (2017), Farley (2017), Guillera-Arroita (2016), Bird et al. (2014), Lee (2013), Mazerolle (2015), Thuiller (2014)

## References

Bird, T.J., Bates, A.E., Lefcheck, J.S., Hill, N.A., Thomson, R.J., Edgar, G.J., Stuart-Smith, R.D., Wotherspoon, S., Krkosek, M., Stuart-Smith, J.F., Pecl, G.T., Barrett, N. & Frusher, S. (2014) Statistical solutions for error and bias in global citizen science datasets. Biological Conservation, 173, 144–154.

Clark, A.E. & Altwegg, R. (2019) Efficient bayesian analysis of occupancy models with logit link functions. Ecology and Evolution, 9, 756–768.

Costa, T.L., Pennino, M.G. & Mendes, L.F. (2017) Identifying ecological barriers in marine environment: The case study of dasyatis marianae. Marine Environmental Research, 125, 1–9.

DellApa, A., Pennino, M.G., Bangley, C.W. & Bonzek, C. (2018) A hierarchical bayesian modeling approach for the habitat distribution of smooth dogfish by sex and season in inshore coastal waters of the u.s. Northwest atlantic. Marine and Coastal Fisheries, 10, 590–605.

Domisch, S., Friedrichs, M., Hein, T., Borgwardt, F., Wetzig, A., Jähnig, S.C. & Langhans, S.D. (2019) Spatially explicit species distribution models: A missed opportunity in conservation planning? ed G. Iacona. Diversity and Distributions, 25, 758–769.

Domisch, S., Wilson, A.M. & Jetz, W. (2016) Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species. Ecography, 39, 1078–1088.

Farley, S.S. (2017) A General Framework for Predicting the Optimal Computing Configurations for Climate-Driven Ecological Forecasting Models. PhD thesis, University of Wisconsin-Madison.

Guillera-Arroita, G. (2016) Modelling of species distributions, range dynamics and communities under imperfect detection: Advances, challenges and opportunities. Ecography, 40, 281–295.

Herrando, S., Keller, V., Voříšek, P., Kipson, M., Franch, M., Anton, M., Pla, M., Villero, D., Sierdsema, H., Kampichler, C. & others. (2017) High resolution maps for the second european breeding bird atlas: A first provision of standardised data and pilot modelled maps. Vogelwelt, 137, 33–41.

Humphreys, J.M. (2018) Traits, Species, and Communities: Integrative Bayesian Approaches to Ecological Biogeography Across Geographic, Environmental, Phylogenetic, and Morphological Space. PhD thesis, The Florida State University.

Lee, D. (2013) CARBayes: AnRPackage for bayesian spatial modeling with conditional autoregressive priors. Journal of Statistical Software, 55.

Martínez-Minaya, J., Cameletti, M., Conesa, D. & Pennino, M.G. (2018) Species distribution modeling: A statistical review with focus in spatio-temporal issues. Stochastic Environmental Research and Risk Assessment, 32, 3227–3244.

Mazerolle, M.J. (2015) Estimating detectability and biological parameters of interest with the use of the r environment. Journal of Herpetology, 49, 541–559.

Pennino, M.G., Mérigot, B., Fonseca, V.P., Monni, V. & Rotta, A. (2017a) Habitat modeling for cetacean management: Spatial distribution in the southern pelagos sanctuary (mediterranean sea). Deep Sea Research Part II: Topical Studies in Oceanography, 141, 203–211.

Pennino, M.G., Vilela, R., Valeiras, J. & Bellido, J.M. (2017b) Discard management: A spatial multi-criteria approach. Marine Policy, 77, 144–151.

Plumptre, A.J., Nixon, S., Kujirakwinja, D.K., Vieilledent, G., Critchlow, R., Williamson, E.A., Nishuli, R., Kirkby, A.E. & Hall, J.S. (2016) Catastrophic decline of worlds largest primate: 80% loss of grauers gorilla (gorilla beringei graueri) population justifies critically endangered status ed A. Margalida. PLOS ONE, 11, e0162697.

Specht, H. (2018) Occupancy survey data and analysis code for shorebird and waterfowl habitat use in nw north dakota, 2014-2015.

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.

Vilela, R., Pena, U., Esteban, R. & Koemans, R. (2016) Bayesian spatial modeling of cetacean sightings during a seismic acquisition survey. Marine Pollution Bulletin, 109, 512–520.

Wilson, A.M. & Jetz, W. (2016) Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions ed M. Loreau. PLOS Biology, 14, e1002415.