Articles 2015

  1. Alagador, D. & Cerdeira, J.O. (2015) A Model to Minimize Costs and Promote Species Persistence under Climate Change. Operations Research and Big Data (eds A.P.F.D.B. Póvoa & J.L. de Miranda), pp. 1 – 8. Springer. doi: 10.1007/978 – 3-​319 – 24154-​8_​1

  2. Alagador, D., Cerdeira, J.O. & Araújo, M.B. (2015) Climate change, species range shifts and dispersal corridors: an evaluation of spatial conservation models. Methods in Ecology and Evolution. (early view). doi: 10.1111/2041-210X.12524.
  3. Barbosa A.M. (2015) Re-​scaling of model evaluation measures to allow direct comparison of their values. Journal of Brief Ideas, 18 Feb 2015. DOI10.5281/zenodo.15487

  4. Barbosa A.M. (2015) fuzzySim: applying fuzzy logic to binary similarity indices in ecology.Methods in Ecology and Evolution. 6: 853 – 858.

  5. Bastos, R., D’Amen, M., Vicente, J.R., Santos, M., Yu, H., Eitelberg, D., Gonçalves, J., Civantos, E., Honrado, J., Cabral, J.A. Anticipating ecological responses to land use dynamics: a multi-​scale looping approach to predict the spatially dynamic occurrence patterns of ecological traits in changing habitats. Ecological Indicators. In press.

  6. Bastos, R., Pinhanços, A., Santos, M., Fernandes, R.F., Vicente, J.R., Morinha, F., Honrado, J.P., Travassos, P., Barros, P. and Cabral, J.A. (2015) Evaluating the regional cumulative impact of wind farms on birds: How spatially-​explicit dynamic modelling can improve impact assessments? Journal of Applied Ecology. DOI: 10.1111÷13652664.12451

  7. Cánovas, F.; Magliozzi, C.; Palazon-​Ferrando, J.A.; Mestre, F. & Gonzalez-​Wanguemert, M. (2015): “ENiRG: R-​GRASS interface to efficiently characterize the ecological niche of species and predict habitat suitability”. Ecography. Doi: 10.1111/ecog.01426.

  8. Cardador, L., De Cáceres, M., Giralt, D., Bota, G., Aquilué, N., Arroyo, B., Mougeot, F., Cantero-​Martínez, C., Viladomiu, L., Rosell, J., Casas, F., Estrada, A.Álvaro-​Fuentes, J. & Brotons, L. 2015. Tools for exploring habitat suitability for steppe birds under land use change scenarios. Agriculture, Ecosystems & Environment, 200: 119 – 125.

  9. Caro, J., Delibes – Mateos, M., Estrada, A.Borralho, L., Gordinho, L., Reino, L., Beja, P. & Arroyo, B. 2015. Effects of hunting management on Mediterranean farmland birds. Bird Conservation International, 25: 166 – 181.
  10. Carvalho F., Carvalho R., Galatinho A., Mira A., Beja, P. (2015Monitoring frequency influences the analysis of resting behaviour in a forest carnivore. Ecological Research, 30:537 – 546.DOI: 10.1007/s11284-0151253-7in

  11. Carvalho F., Carvalho R., Mira A., Beja, P. (2015) Assessing landscape functional connectivity using path selection functions: The case for a forest carnivore. Landscape Ecology. Early view. Doi: 10.1007/s10980-0150326-x

  12. Cazelles, K., Araújo, M.B., Mouquet, N., Gravel, D. 2015. Theory for species co-​occurrence in interaction networks. Theoretical Ecology. DOi.10.1007/s12080-0150281-9

  13. Estrada, A.Meireles, C.Morales-​Castilla, I., Poschlod, P., Vieites, D., Araújo, M.B. & Early, R.2015Species’ intrinsic traits inform their range limitations and vulnerability under environmental change. Global Ecology and Biogeography. DOI: 10.1111/geb.12306

  14. Estrada, A.Delibes-​Mateos, M., Caro, J., Viñuela, J., Díaz-​Fernández, S., Casas, F. & Arroyo, B. 2015. Does small-​game management benefit steppe birds of conservation concern? A field study in central Spain. Animal Conservation, 18: 567 – 575. 
  15. Garcia, R.A., Cabeza, M., Altwegg, R. & Araújo, M.B. Do projections from bioclimatic envelope models and climate change metrics match? Global Ecology and Biogeography. DOI: 10.1111/geb.12386

  16. García-​Callejas, D. & Araújo, M.B. 2015The effects of model and data complexity on predictions from species distributions models. Ecological Modelling. doi:10.1016/j.ecolmodel.2015.06.002

  17. García-​Valdés, R., Gotelli, N.J., Zavala, M.A., Purves, D. & Araújo, M.B. 2015Effetcs of climate, species interactions, and dispersal on decadal colonization and extinction rates of Iberian tree species. Ecological Modelling309: 118 – 127.

  18. García-​Valdés, R., Svenning, J.-C., Zavala, M.A., Purves, D.W. & Araújo, M.B. 2015Evaluating the combined effects of climate and land-​use change on tree species distributions. Journal of Applied EcologyDOI: 10.1111÷13652664.12453.

  19. Guilhaumon, F., Albouy, C., Claudet, J., Velez, L., Lasram, F.B.R., Tomasini, J-​A., Douzery, E.J.P., Meynard, C.N., Mouquet, N., Troussellier, M., Araújo, M.B. & Mouillot, D. 2015. Representing taxonomic, phylogenetic and functional diversity: new challenges for Mediterranean marine-​protected areas. Diversity and Distributions21: 175 – 187.

  20. Mestre, F.Pita, R.; Paupério, J.; Martins, F.M.S.; Alves, P.C.; Mira, A. & Beja, P. (2015).“Combining distribution modelling and non-​invasive genetics to improve range shift forecasting”. Ecological Modelling, 297: 171 – 179. Doi: 10.1016/j.ecolmodel.2014.11.018.

  21. Morales-​Castilla, I.Matias, M.G., Gravel, D. & Araújo, M.B. 2015Inferring biotic interactions from proxies. Trends in Ecology and Evolution. 30347 – 356.

  22. Poisot, T., Gravel, D., Lreoux, S., Wood, S., Fortin, M-​J., Baiser, B., Cirtwill, A., Araújo, M.B. & Stouffer, D. Synthetic datasets and community tools for the rapid testing of ecological hypotheses. Ecography.DOI: 10.1111/ecog.01941

  23. Rocchini D., Comber A., Garzon-​Lopez C.X., Neteler M., Barbosa A.M., Marcantonio M., Groom Q., da Costa Fonte C., Foody G.M. (2015) Explicitly accounting for uncertainty in crowdsourced data for species distribution modelling. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-​3/​W5, 2015 ISPRS Geospatial Week 2015, 28 Sep – 03 Oct 2015, La Grande Motte, France
  24. Rodrigues, P., Figueira, R., Araújo, M.B. & Beja, P. 2015. A biogeographical regionalization of Angolan mammals. Mammal ReviewDOI: 10.1111/mam.12036

  25. Santos S.M., Marques J.T. , Lourenço A., Medinas D., Barbosa A.M., Beja P., Mira A. (2015) Sampling effects on the identification of roadkill hotspots and implications for survey design. Journal of Environmental Management. 162: 87 – 95. DOI: 10.1016/j.jenvman.2015.07.037

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