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Chefaoui RM, Chozas S, Correia O, Santos AMargarida, Hortal J. Using niche models of indicator species to predict the distribution of xerophytic shrub dune communities. Web Ecology. 2016;16:47.
Hortal J, Borges PAV, Dinis F, et al. Using ATLANTIS-Tierra 2.0 and GIS environmental information to predict the spatial distribution and habitat suitability of endemic species. A list of the terrestrial fauna (Mollusca and Arthropoda) and flora (Bryophyta, Pteridophyta and Spermatophyta) from the Azores. 2005:69–113.
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Buonomo R, Chefaoui RM, Lacida RBermejo, Engelen AH. Predicted extinction of unique genetic diversity in marine forests of Cystoseira spp. Marine Environmental Research. 2018.
Buonomo R, Chefaoui RM, Lacida RBermejo, Engelen AH, Serrão EA, Airoldi L. Predicted extinction of unique genetic diversity in marine forests of Cystoseira spp. Marine Environmental Research. 2018.
Chefaoui RM, Hortal J, Lobo JM. Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: a case study of Iberian Copris species. Biological Conservation. 2005;122:327–338.
Chefaoui RM, Duarte CM, Serrão EA. Palaeoclimatic conditions in the Mediterranean explain genetic diversity of Posidonia oceanica seagrass meadows. Scientific Reports. 2017;7(1). doi:10.1038/s41598-017-03006-2
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Chefaoui RM, Varela-Álvarez E. Niche conservatism and spread of seaweed invasive lineages with different residence time in the Mediterranean Sea. Biological Invasions. 2018;20(2):423 - 435. doi:10.1007/s10530-017-1544-8
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Chefaoui RM, Assis J, Duarte CM, Serrão EA. Large-Scale Prediction of Seagrass Distribution Integrating Landscape Metrics and Environmental Factors: The Case of Cymodocea nodosa (Mediterranean–Atlantic). Estuaries and Coasts. 2016;39(1):123 - 137. doi:10.1007/s12237-015-9966-y
Chefaoui RM. Landscape metrics as indicators of coastal morphology: A multi-scale approach. Ecological Indicators. 2014;45:139 - 147. doi:10.1016/j.ecolind.2014.04.004
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Chefaoui RM, Hosseinzadeh MSadat, Mashayekhi M, Safaei-Mahroo B, Kazemi SMahdi. Identifying suitable habitats and current conservation status of a rare and elusive reptile in Iran. Amphibia-Reptilia. 2018. doi:10.1163/15685381-17000185
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Madeira PM, Chefaoui RM, Cunha RL, et al. High-unexpected genetic diversity of a narrow endemic terrestrial mollusc. PeerJ. 2017;5. https://doi.org/10.7717/peerj.3069.
Madeira PM, Chefaoui RM, Cunha RL, et al. High unexpected genetic diversity of a narrow endemic terrestrial mollusc. PeerJ. 2017;5:e3069. doi:10.7717/peerj.3069/supp-4
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Lourenço CR, Nicastro KR, McQuaid CD, et al. Evidence for rangewide panmixia despite multiple barriers to dispersal in a marine mussel. Scientific Reports. 2017;7(1). doi:10.1038/s41598-017-10753-9
Chozas S, Chefaoui RM, Correia O, Bonal R, Hortal J. Environmental niche divergence among three dune shrub sister species with parapatric distributions. Annals of Botany. 2017. doi:10.1093/aob/mcx004
Chefaoui RM, Casado-Amezúa P, Templado J. Environmental drivers of distribution and reef development of the Mediterranean coral Cladocora caespitosa. Coral Reefs. 2017. doi:10.1007/s00338-017-1611-8
Chefaoui RM, Lobo JM, Hortal J. Effects of species’ traits and data characteristics on distribution models of threatened invertebrates. Animal Biodiversity and Conservation. 2011;34:229–247.
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Chefaoui RM, Duarte CM, Serrão EA. Dramatic loss of seagrass habitat under projected climate change in the Mediterranean Sea. Global Change Biology. 2018. doi:10.1111/gcb.14401
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Chefaoui RM, Lobo JM. Assessing the effects of pseudo-absences on predictive distribution model performance. Ecological modelling. 2008;210:478–486.
Chefaoui RM, Lobo JM. Assessing the Conservation Status of an Iberian Moth Using Pseudo-Absences. The Journal of Wildlife Management. 2007;71:2507–2516.
Chefaoui RM, Serrão EA. Accounting for uncertainty in predictions of a marine species: Integrating population genetics to verify past distributions. Ecological Modelling. 2017;359:229 - 239. doi:10.1016/j.ecolmodel.2017.06.006
Chefaoui RM, Serrão EA. Accounting for uncertainty in predictions of a marine species: Integrating population genetics to verify past distributions. Ecological Modelling. 2017;359:229 - 239. doi:10.1016/j.ecolmodel.2017.06.006