Kris Verheyen, Universiteit Gent
Pieter De Frenne, Universiteit Gent
Lander Baeten, Universiteit Gent
Donald M. Waller, University of Wisconsin-Madison
Radim Hédl, Institute of Botany of the Academy of Sciences of the Czech Republic
Michael P. Perring, The University of Western Australia
Haben Blondeel, Universiteit Gent
Jörg Brunet, Czech University of Life Sciences Prague
Markéta Chudomelová, Masaryk University
Guillaume Decocq, Sveriges lantbruksuniversitet
Emiel De Lombaerde, Université de Picardie Jules Verne
Leen Depauw, Université de Picardie Jules Verne
Thomas Dirnböck, Environment Agency Austria
Tomasz Durak, University of Rzeszów
Ove Eriksson, Stockholms universitet
Frank S. Gilliam, Marshall University
Thilo Heinken, Marshall University
Steffi Heinrichs, Universität Potsdam
Martin Hermy, Institute of Botany of the Academy of Sciences of the Czech Republic
Bogdan Jaroszewicz, Universität Göttingen
Michael A. Jenkins, KU Leuven
Sarah E. Johnson, University of Warsaw
Keith J. Kirby, Purdue University
Martin Kopecký, Northland College, Ashland
Dries Landuyt, University of Oxford
Jonathan Lenoir, Institute of Botany of the Academy of Sciences of the Czech Republic
Daijiang Li, University of Wisconsin-Madison
Martin Macek, Technical University in Zvolen
Sybryn L. Maes, Trinity College Dublin
František Máliš, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V.
Fraser J.G. Mitchell, University of Nottingham
Tobias Naaf, University of Wroclaw
George Peterken, University of Wisconsin-Parkside

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More and more ecologists have started to resurvey communities sampled in earlier decades to determine long-term shifts in community composition and infer the likely drivers of the ecological changes observed. However, to assess the relative importance of and interactions among multiple drivers, joint analyses of resurvey data from many regions spanning large environmental gradients are needed. In this article, we illustrate how combining resurvey data from multiple regions can increase the likelihood of driver orthogonality within the design and show that repeatedly surveying across multiple regions provides higher representativeness and comprehensiveness, allowing us to answer more completely a broader range of questions. We provide general guidelines to aid the implementation of multiregion resurvey databases. In so doing, we aim to encourage resurvey database development across other community types and biomes to advance global environmental change research.

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