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Combining Biodiversity Resurveys across Regions to Advance Global Change Research

  • Kris Verheyen
  • , Pieter De Frenne
  • , Lander Baeten
  • , Donald M. Waller
  • , Radim Hedl
  • , Michael P. Perring
  • , Haben Blondeel
  • , Jorg Brunet
  • , Marketa Chudomelova
  • , Guillaume Decocq
  • , Emiel De Lombaerde
  • , Leen Depauw
  • , Thomas Dirnbock
  • , Tomasz Durak
  • , Ove Eriksson
  • , Frank S. Gilliam
  • , Thilo Heinken
  • , Steffi Heinrichs
  • , Martin Hermy
  • , Bogdan Jaroszewicz
  • Michael A. Jenkins, Sarah E. Johnson, Keith J. Kirby, Martin Kopecky, Dries Landuyt, Jonathan Lenoir, Daijiang Li, Martin Macek, Sybryn L. Maes, Frantisek Malis, Fraser J. G. Mitchell, Tobias Naaf, George Peterken, Petr Petrik, Kamila Reczynska, David A. Rogers, Fride Hoistad Schei, Wolfgang Schmidt, Tibor Standovar, Krzysztof Swierkosz, Karol Ujhazy, Hans Van Calster, Mark Vellend, Ondrej Vild, Kerry Woods, Monika Wulf, Markus Bernhardt-Roemermann

Publication: Contribution to journalJournal articlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)73-83
Number of pages11
JournalBioScience
Volume67
Issue number1
DOIs
Publication statusPublished - 2017

Keywords

  • legacy data
  • (quasi-)permanent plots
  • community ecology
  • ground-layer vegetation
  • temperate forest

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