FN Archimer Export Format PT J TI A quixotic view of spatial bias in modelling the distribution of species and their diversity BT AF Rocchini, Duccio Tordoni, Enrico Marchetto, Elisa Marcantonio, Matteo Barbosa, A. Márcia Bazzichetto, Manuele Beierkuhnlein, Carl Castelnuovo, Elisa Gatti, Roberto Cazzolla Chiarucci, Alessandro Chieffallo, Ludovico Da Re, Daniele Di Musciano, Michele Foody, Giles M. Gabor, Lukas Garzon-Lopez, Carol X. Guisan, Antoine Hattab, Tarek Hortal, Joaquin Kunin, William E. Jordán, Ferenc Lenoir, Jonathan Mirri, Silvia Moudrý, Vítězslav Naimi, Babak Nowosad, Jakub Sabatini, Francesco Maria Schweiger, Andreas H. Šímová, Petra Tessarolo, Geiziane Zannini, Piero Malavasi, Marco AS 1:1,2;2:3;3:1;4:4;5:5;6:2;7:6;8:1;9:1;10:1;11:1;12:7;13:1,8;14:9;15:10,11;16:12;17:13,14;18:15;19:16;20:17;21:18;22:19;23:20;24:2;25:21;26:22;27:1,23;28:24;29:2;30:25;31:1;32:26; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:PDG-RBE-MARBEC-LHM;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:; C1 BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna, via Irnerio 42, 40126, Bologna, Italy Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Department of Spatial Sciences, Kamýcka 129, Praha - Suchdol, 16500, Czech Republic Department of Botany, Institute of Ecology and Earth Science, University of Tartu, J. Liivi 2, 50409, Tartu, Estonia Evolutionary Ecology and Genetics Group, Earth and Life Institute, UCLouvain, 1348, Louvain-la-Neuve, Belgium CICGE (Centro de Investigação em Ciências Geo-Espaciais), Universidade do Porto, Porto, Portugal Biogeography, BayCEER, University of Bayreuth, Universitaetsstraße 30, 95440, Bayreuth, Germany Georges Lemaître Center for Earth and Climate Research, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium Department of Life, Health and Environmental Sciences, University of L’Aquila, Piazzale Salvatore Tommasi 1, 67100, L’Aquila, Italy School of Geography, University of Nottingham, Nottingham, UK Dept of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA Knowledge Infrastructures, Campus Fryslan University of Groningen, Leeuwarden, The Netherlands Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland Institute of Earth Surface Dynamics, University of Lausanne, 1015, Lausanne, Switzerland MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales (MNCN-CSIC), Madrid, Spain University of Leeds, Leeds, UK University of Parma, Parma, Italy UMR CNRS 7058 “Ecologie et Dynamique des Systèmes Anthropisés” (EDYSAN), Université de Picardie Jules Verne, 1 Rue des Louvels, 80000, Amiens, France Department of Computer Science and Engineering, Alma Mater Studiorum University of Bologna, via Irnerio 42, 40126, Bologna, Italy Rui Nabeiro Biodiversity Chair, MED Institute, University of Évora, Évora, Portugal Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Krygowskiego 10, 61-680, Poznan, Poland Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague - Suchdol, Czech Republic Department of Plant Ecology, Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany Federal University of Goiás, Campus Central, Anápolis, Brazil University of Sassari, Department of Chemistry, Physics, Mathematics and Natural Sciences, Sassari, Italy C2 UNIV BOLOGNA, ITALY UNIV PRAGUE, CZECH REPUBLIC UNIV TARTU, ESTONIA UNIV CATHOLIC LOUVAIN, BELGIUM UNIV PORTO, PORTUGAL UNIV BAYREUTH, GERMANY UNIV CATHOLIC LOUVAIN, BELGIUM UNIV AQUILA, ITALY UNIV NOTTINGHAM, UK UNIV YALE, USA UNIV YALE, USA UNIV GRONINGEN, NETHERLANDS UNIV LAUSANNE, SWITZERLAND UNIV LAUSANNE, SWITZERLAND IFREMER, FRANCE CSIC, SPAIN UNIV LEEDS, UK UNIV PARMA, ITALY UNIV PICARDIE JULES VERNE, FRANCE UNIV BOLOGNA, ITALY UNIV EVORA, PORTUGAL UNIV ADAM MICKIEWICZ, POLAND UNIV PRAGUE, CZECH REPUBLIC UNIV HOHENHEIM, GERMANY UNIV FED GOIAS, BRAZIL UNIV SASSARI, ITALY SI SETE SE PDG-RBE-MARBEC-LHM UM MARBEC TC 0 UR https://archimer.ifremer.fr/doc/00835/94711/102194.pdf https://archimer.ifremer.fr/doc/00835/94711/102195.r https://archimer.ifremer.fr/doc/00835/94711/102196.pdf LA English DT Article DE ;Biodiversity;Biogeography;Community ecology;Ecological modelling AB Ecological processes are often spatially and temporally structured, potentially leading to autocorrelation either in environmental variables or species distribution data. Because of that, spatially-biased in-situ samples or predictors might affect the outcomes of ecological models used to infer the geographic distribution of species and diversity. There is a vast heterogeneity of methods and approaches to assess and measure spatial bias; this paper aims at addressing the spatial component of data-driven biases in species distribution modelling, and to propose potential solutions to explicitly test and account for them. Our major goal is not to propose methods to remove spatial bias from the modelling procedure, which would be impossible without proper knowledge of all the processes generating it, but rather to propose alternatives to explore and handle it. In particular, we propose and describe three main strategies that may provide a fair account of spatial bias, namely: (i) how to represent spatial bias; (ii) how to simulate null models based on virtual species for testing biogeographical and species distribution hypotheses; and (iii) how to make use of spatial bias - in particular related to sampling effort - as a leverage instead of a hindrance in species distribution modelling. We link these strategies with good practice in accounting for spatial bias in species distribution modelling. PY 2023 PD MAY SO npj Biodiversity SN 2731-4243 PU Springer Science and Business Media LLC VL 2 IS 1 DI 10.1038/s44185-023-00014-6 ID 94711 ER EF