A quixotic view of spatial bias in modelling the distribution of species and their diversity D Rocchini, E Tordoni, E Marchetto, M Marcantonio, AM Barbosa, ... npj Biodiversity 2 (1), 10, 2023 | 6 | 2023 |
Testing the effect of sample prevalence and sampling methods on probability-and favourability-based SDMs E Marchetto, D Da Re, E Tordoni, M Bazzichetto, P Zannini, S Celebrin, ... Ecological Modelling 477, 110248, 2023 | 6 | 2023 |
A novel approach for surveying flowers as a proxy for bee pollinators using drone images M Torresani, D Kleijn, JPR de Vries, H Bartholomeus, L Chieffallo, ... Ecological Indicators 149, 110123, 2023 | 5 | 2023 |
Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns D Rocchini, J Nowosad, R D’Introno, L Chieffallo, G Bacaro, RC Gatti, ... Ecological Informatics 76, 102045, 2023 | 1 | 2023 |
Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach M Torresani, D Rocchini, G Ceola, JPR de Vries, H Feilhauer, V Moudrý, ... Scientific Reports 14 (1), 809, 2024 | | 2024 |
Scientific maps should reach everyone: a straightforward approach to let colour blind people visualise spatial patterns D Rocchini, J Nowosad, R D'Introno, L Chieffallo, G Bacaro, RC Gatti, ... EcoEvoRxiv, 2022 | | 2022 |
by Subject F Klebl, PH Feindt, A Piorr, A Bednarska, R Laskowski, JP Sousa, ... Policy 15, 04-2023, 0 | | |