Publicações

Naimi, B. ., Capinha, C. ., Ribeiro, J. ., Rahbek, C. ., Strubbe, D. ., Reino, L. ., & Araújo, M. B. (2022). Potential for invasion of traded birds under climate and land‐cover change. Global Change Biology, 28(19), 5654-5666. https://doi.org/10.1111/gcb.16310

Oliveira, A. ., Lopes, A. ., & Correia, E. . (2022). Annual summaries dataset of Heatwaves in Europe, as defined by the Excess Heat Factor. Data in Brief, 44, 108511. https://doi.org/10.1016/j.dib.2022.108511

Oliveira, A. ., Lopes, A. ., & Soares, A. . (2022). Excess Heat Factor climatology, trends, and exposure across European Functional Urban Areas. Weather and Climate Extremes, 36, 100455. https://doi.org/10.1016/j.wace.2022.100455

Oliveira, A. ., Lopes, A. ., Niza, S. ., & Soares, A. . (2022). An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples. Science of The Total Environment, 805, 150130. https://doi.org/10.1016/j.scitotenv.2021.150130

Oliveira, S. ., Ribeiro, A. I., Nogueira, P. ., & Rocha, J. . (2022). Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas in Portugal. PLOS ONE, 17(9), e0274286. https://doi.org/10.1371/journal.pone.0274286

Pabst, R. ., Dias, F. S., Borda-de-Água, L. ., Rodríguez-González, P. M., & Capinha, C. . (2022). Assessing and Predicting the Distribution of Riparian Invasive Plants in Continental Portugal. Frontiers in Ecology and Evolution, 10. https://doi.org/10.3389/fevo.2022.875578

Papagiannaki, K. ., Petrucci, O. ., Diakakis, M. ., Kotroni, V. ., Aceto, L. ., Bianchi, C. ., … Zêzere, J. L. (2022). Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01273-x

Peponi, A. ., Morgado, P. ., & Kumble, P. . (2022). Life cycle thinking and machine learning for urban metabolism assessment and prediction. Sustainable Cities and Society, 80, 103754. https://doi.org/10.1016/j.scs.2022.103754

Pina, P. ., & Vieira, G. . (2022). UAVs for Science in Antarctica. Remote Sensing, 14(7), 1610. https://doi.org/10.3390/rs14071610

Portela-Pereira, E. . (2022). Characteristics of novel urban vegetation in two Portuguese urban regions. Landscape Research, 47(3), 354-369. https://doi.org/10.1080/01426397.2022.2039107

Raab, G. ., Dollenmeier, W. ., Tikhomirov, D. ., Vieira, G. ., Migoń, P. ., Ketterer, M. E., … Egli, M. . (2022). Contrasting soil dynamics in a formerly glaciated and non-glaciated Mediterranean mountain plateau (Serra da Estrela, Portugal). CATENA, 215, 106314. https://doi.org/10.1016/j.catena.2022.106314

Reis, C. ., Lopes, A. ., & Nouri, S. . (2022). Assessing urban heat island effects through local weather types in Lisbon’s Metropolitan Area using big data from the Copernicus service. Urban Climate, 43, 101168. https://doi.org/10.1016/j.uclim.2022.101168

Renault, D. ., Angulo, E. ., Cuthbert, R. N., Haubrock, P. J., Capinha, C. ., Bang, A. ., … Courchamp, F. . (2022). The magnitude, diversity, and distribution of the economic costs of invasive terrestrial invertebrates worldwide. Science of The Total Environment, 835, 155391. https://doi.org/10.1016/j.scitotenv.2022.155391

Rilo, A. R., Tavares, A. M. de O. S., Freire, P. M. dos S., & Zêzere, J. L. (2022). Dealing with Multisource Information for Estuarine Flood Risk Appraisal in Two Western European Coastal Areas. International Journal of Disaster Risk Science, 13(2), 199-213. https://doi.org/10.1007/s13753-022-00403-8

Rilo, A. ., Tavares, A. O., Freire, P. ., Zêzere, J. L., & Haigh, I. D. (2022). Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis. Water, 14(19), 3161. https://doi.org/10.3390/w14193161

Rocha, B. ., Matos, P. ., Giordani, P. ., Piret, L. ., Branquinho, C. ., Casanelles-Abella, J. ., … Pinho, P. . (2022). Modelling the response of urban lichens to broad-scale changes in air pollution and climate. Environmental Pollution, 315, 120330. https://doi.org/10.1016/j.envpol.2022.120330