Literature DB >> 32839545

The results of biodiversity-ecosystem functioning experiments are realistic.

Malte Jochum1,2,3, Markus Fischer4, Forest Isbell5, Christiane Roscher6,7, Fons van der Plas8, Steffen Boch4,9, Gerhard Boenisch10, Nina Buchmann11, Jane A Catford12, Jeannine Cavender-Bares5, Anne Ebeling13, Nico Eisenhauer6,14, Gerd Gleixner10, Norbert Hölzel15, Jens Kattge6,10, Valentin H Klaus11, Till Kleinebecker16, Markus Lange10, Gaëtane Le Provost17, Sebastian T Meyer18, Rafael Molina-Venegas4,19, Liesje Mommer20, Yvonne Oelmann21, Caterina Penone4, Daniel Prati4, Peter B Reich22,23, Abiel Rindisbacher4, Deborah Schäfer4, Stefan Scheu24,25, Bernhard Schmid26,27, David Tilman5,28, Teja Tscharntke29, Anja Vogel6,14,13, Cameron Wagg30, Alexandra Weigelt6,8, Wolfgang W Weisser18, Wolfgang Wilcke31, Peter Manning17.   

Abstract

A large body of research shows that biodiversity loss can reduce ecosystem functioning. However, much of the evidence for this relationship is drawn from biodiversity-ecosystem functioning experiments in which biodiversity loss is simulated by randomly assembling communities of varying species diversity, and ecosystem functions are measured. This random assembly has led some ecologists to question the relevance of biodiversity experiments to real-world ecosystems, where community assembly or disassembly may be non-random and influenced by external drivers, such as climate, soil conditions or land use. Here, we compare data from real-world grassland plant communities with data from two of the largest and longest-running grassland biodiversity experiments (the Jena Experiment in Germany and BioDIV in the United States) in terms of their taxonomic, functional and phylogenetic diversity and functional-trait composition. We found that plant communities of biodiversity experiments cover almost all of the multivariate variation of the real-world communities, while also containing community types that are not currently observed in the real world. Moreover, they have greater variance in their compositional features than their real-world counterparts. We then re-analysed a subset of experimental data that included only ecologically realistic communities (that is, those comparable to real-world communities). For 10 out of 12 biodiversity-ecosystem functioning relationships, biodiversity effects did not differ significantly between the full dataset of biodiversity experiments and the ecologically realistic subset of experimental communities. Although we do not provide direct evidence for strong or consistent biodiversity-ecosystem functioning relationships in real-world communities, our results demonstrate that the results of biodiversity experiments are largely insensitive to the exclusion of unrealistic communities and that the conclusions drawn from biodiversity experiments are generally robust.

Mesh:

Year:  2020        PMID: 32839545     DOI: 10.1038/s41559-020-1280-9

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  7 in total

1.  Species richness is more important for ecosystem functioning than species turnover along an elevational gradient.

Authors:  Jörg Albrecht; Marcell K Peters; Joscha N Becker; Christina Behler; Alice Classen; Andreas Ensslin; Stefan W Ferger; Friederike Gebert; Friederike Gerschlauer; Maria Helbig-Bonitz; William J Kindeketa; Anna Kühnel; Antonia V Mayr; Henry K Njovu; Holger Pabst; Ulf Pommer; Juliane Röder; Gemma Rutten; David Schellenberger Costa; Natalia Sierra-Cornejo; Anna Vogeler; Maximilian G R Vollstädt; Hamadi I Dulle; Connal D Eardley; Kim M Howell; Alexander Keller; Ralph S Peters; Victor Kakengi; Claudia Hemp; Jie Zhang; Peter Manning; Thomas Mueller; Christina Bogner; Katrin Böhning-Gaese; Roland Brandl; Dietrich Hertel; Bernd Huwe; Ralf Kiese; Michael Kleyer; Christoph Leuschner; Yakov Kuzyakov; Thomas Nauss; Marco Tschapka; Markus Fischer; Andreas Hemp; Ingolf Steffan-Dewenter; Matthias Schleuning
Journal:  Nat Ecol Evol       Date:  2021-09-20       Impact factor: 15.460

2.  Greater bee diversity is needed to maintain crop pollination over time.

Authors:  Natalie J Lemanski; Neal M Williams; Rachael Winfree
Journal:  Nat Ecol Evol       Date:  2022-08-22       Impact factor: 19.100

3.  Density Alters Impacts of Genotypic Evenness on Productivity in an Experimental Plant Population.

Authors:  Lin Huang; Meng-Fei Yu; Jiang-Nan Hu; Wei-Jia Sheng; Wei Xue; Fei-Hai Yu
Journal:  Front Plant Sci       Date:  2022-05-30       Impact factor: 6.627

4.  Using plant traits to understand the contribution of biodiversity effects to annual crop community productivity.

Authors:  Nadine Engbersen; Laura Stefan; Rob W Brooker; Christian Schöb
Journal:  Ecol Appl       Date:  2021-11-20       Impact factor: 6.105

5.  Impacts of Short-Term Grazing Intensity on the Plant Diversity and Ecosystem Function of Alpine Steppe on the Qinghai-Tibetan Plateau.

Authors:  Xinghai Hao; Juejie Yang; Shikui Dong; Hao Shen; Fengcai He; Yangliu Zhi; Emmanuella A Kwaku; Danjia Tu; Shengyun Dou; Xueli Zhou; Zhengrong Yang
Journal:  Plants (Basel)       Date:  2022-07-21

6.  Precipitation and soil nutrients determine the spatial variability of grassland productivity at large scales in China.

Authors:  Xianxian Wang; Ru Wang; Jie Gao
Journal:  Front Plant Sci       Date:  2022-09-09       Impact factor: 6.627

7.  Plant-soil feedbacks help explain biodiversity-productivity relationships.

Authors:  Leslie E Forero; Andrew Kulmatiski; Josephine Grenzer; Jeanette M Norton
Journal:  Commun Biol       Date:  2021-06-25
  7 in total

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