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Toward a methodical framework for comprehensively assessing forest multifunctionality
Trogisch, Stefan1,2; Schuldt, Andreas1,2; Bauhus, Juergen3; Blum, Juliet A.4; Both, Sabine5; Buscot, Francois2,6; Castro-Izaguirre, Nadia7; Chesters, Douglas8; Durka, Walter2,9; Eichenberg, David1,2,10; Erfmeier, Alexandra2,11; Fischer, Markus4; Geissler, Christian12; Germany, Markus S.1,2,11; Goebes, Philipp12; Gutknecht, Jessica6,13; Hahn, Christoph Zacharias9; Haider, Sylvia1,2; Haerdtle, Werner14; He, Jin-Sheng15; Hector, Andy16; Hoenig, Lydia1; Huang, Yuanyuan7; Klein, Alexandra-Maria17; Kuehn, Peter12; Kunz, Matthias18; Leppert, Katrin N.19; Li, Ying20; Liu, Xiaojuan21; Niklaus, Pascal A.7; Pei, Zhiqin6; Pietsch, Katherina A.10; Prinz, Ricarda1,22; Pross, Tobias1,2; Scherer-Lorenzen, Michael19; Schmidt, Karsten12; Scholten, Thomas12; Seitz, Steffen12; Song, Zhengshan12; Staab, Michael17; von Oheimb, Goddert2,18; Weissbecker, Christina6; Welk, Erik1,2; Wirth, Christian2,10; Wubet, Tesfaye2,6; Yang, Bo1,23; Yang, Xuefei24; Zhu, Chao-Dong8; Schmid, Bernhard7; Ma, Keping21; Bruelheide, Helge1,2
AbstractBiodiversity-ecosystem functioning (BEF) research has extended its scope from communities that are short-lived or reshape their structure annually to structurally complex forest ecosystems. The establishment of tree diversity experiments poses specific methodological challenges for assessing the multiple functions provided by forest ecosystems. In particular, methodological inconsistencies and nonstandardized protocols impede the analysis of multifunctionality within, and comparability across the increasing number of tree diversity experiments. By providing an overview on key methods currently applied in one of the largest forest biodiversity experiments, we show how methods differing in scale and simplicity can be combined to retrieve consistent data allowing novel insights into forest ecosystem functioning. Furthermore, we discuss and develop recommendations for the integration and transferability of diverse methodical approaches to present and future forest biodiversity experiments. We identified four principles that should guide basic decisions concerning method selection for tree diversity experiments and forest BEF research: (1) method selection should be directed toward maximizing data density to increase the number of measured variables in each plot. (2) Methods should cover all relevant scales of the experiment to consider scale dependencies of biodiversity effects. (3) The same variable should be evaluated with the same method across space and time for adequate larger-scale and longer-time data analysis and to reduce errors due to changing measurement protocols. (4) Standardized, practical and rapid methods for assessing biodiversity and ecosystem functions should be promoted to increase comparability among forest BEF experiments. We demonstrate that currently available methods provide us with a sophisticated toolbox to improve a synergistic understanding of forest multifunctionality. However, these methods require further adjustment to the specific requirements of structurally complex and long-lived forest ecosystems. By applying methods connecting relevant scales, trophic levels, and above- and belowground ecosystem compartments, knowledge gain from large tree diversity experiments can be optimized.
KeywordBef-china Forest Biodiversity Experiments High-throughput Methods Multitrophic Interactions Standardized Protocols
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Affiliation1.Martin Luther Univ Halle Wittenberg, Inst Biol Geobot & Bot Garden, Halle, Saale, Germany
2.German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany
3.Univ Freiburg, Fac Environm & Nat Resources, Silviculture, Freiburg, Germany
4.Univ Bern, Inst Plant Sci, Bern, Switzerland
5.Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen, Scotland
6.UFZ Helmholtz Ctr Environm Res, Dept Soil Ecol, Halle, Saale), Germany
7.Univ Zurich, Dept Evolutionary Biol & Environm Studies, Zurich, Switzerland
8.Chinese Acad Sci, Inst Zool, Beijing, Peoples R China
9.UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, Halle, Saale), Germany
10.Univ Leipzig, Inst Biol, Leipzig, Germany
11.Univ Kiel, Inst Ecosyst Res Geobot, Kiel, Germany
12.Univ Tubingen, Inst Geog Soil Sci & Geomorphol, Tubingen, Germany
13.Univ Minnesota, Dept Soil Water & Climate, St Paul, MN 55108 USA
14.Leuphana Univ Luneburg, Inst Ecol, Luneburg, Germany
15.Peking Univ, Key Lab Earth Surface Proc, Coll Urban & Environm Sci, Dept Ecol,Minist Educ, Beijing, Peoples R China
16.Univ Oxford, Dept Plant Sci, Oxford, England
17.Univ Freiburg, Nat Conservat & Landscape Ecol, Fac Environm & Nat Resources, Freiburg, Germany
18.Tech Univ Dresden, Inst Gen Ecol & Environm Protect, Tharandt, Germany
19.Univ Freiburg, Fac Biol, Geobot, Freiburg, Germany
20.Beijing Forestry Univ, Fac Soil & Water Conservat, Beijing, Peoples R China
21.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing, Peoples R China
22.Senckenberg Biodivers & Climate Res Ctr BIK F, Frankfurt, Germany
23.Jingdezhen Univ, Key Lab Special Plant Resources Jiangxi Prov, Jingdezhen, Peoples R China
24.Chinese Acad Sci, Kunming Inst Bot, Kunming, Yunnan, Peoples R China
Recommended Citation
GB/T 7714
Trogisch, Stefan,Schuldt, Andreas,Bauhus, Juergen,et al. Toward a methodical framework for comprehensively assessing forest multifunctionality[J]. ECOLOGY AND EVOLUTION,2017,7(24):10652-10674.
APA Trogisch, Stefan.,Schuldt, Andreas.,Bauhus, Juergen.,Blum, Juliet A..,Both, Sabine.,...&Bruelheide, Helge.(2017).Toward a methodical framework for comprehensively assessing forest multifunctionality.ECOLOGY AND EVOLUTION,7(24),10652-10674.
MLA Trogisch, Stefan,et al."Toward a methodical framework for comprehensively assessing forest multifunctionality".ECOLOGY AND EVOLUTION 7.24(2017):10652-10674.
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