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Toward a methodical framework for comprehensively assessing forest multifunctionality

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Toward a methodical framework for comprehensively assessing forest multifunctionality. / Trogisch, Stefan; Schuldt, Andreas; Bauhus, Jürgen et al.
in: Ecology and Evolution, Jahrgang 7, Nr. 24, 12.2017, S. 10652-10674.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Trogisch, S, Schuldt, A, Bauhus, J, Blum, JA, Both, S, Buscot, F, Castro-Izaguierre, N, Chesters, D, Durka, W, Eichenberg, D, Erfmeier, A, Fischer, M, Geißler, C, Germany, M, Goebes, P, Gutknecht, J, Hahn, CZ, Haider, S, Härdtle, W, He, J-S, Hector, A, Hönig, L, Huang, Y, Klein, A-M, Kühn, P, Kunz, M, Leppert, KN, Li, Y, Liu, X, Niklaus, PA, Pei, Z, Pietsch, K, Prinz, R, Proß, T, Scherer-Lorenzen, M, Schmidt, K, Scholten, T, Seitz, S, Song, Z, Staab, M, von Oheimb, G, Weißbecker, C, Welk, E, Wirth, C, Wubet, T, Yang, B, Yang, X, Zhu, C-D, Schmid, B, Ma, K & Bruelheide, H 2017, 'Toward a methodical framework for comprehensively assessing forest multifunctionality', Ecology and Evolution, Jg. 7, Nr. 24, S. 10652-10674. https://doi.org/10.1002/ece3.3488

APA

Trogisch, S., Schuldt, A., Bauhus, J., Blum, J. A., Both, S., Buscot, F., Castro-Izaguierre, N., Chesters, D., Durka, W., Eichenberg, D., Erfmeier, A., Fischer, M., Geißler, C., Germany, M., Goebes, P., Gutknecht, J., Hahn, C. Z., Haider, S., Härdtle, W., ... Bruelheide, H. (2017). Toward a methodical framework for comprehensively assessing forest multifunctionality. Ecology and Evolution, 7(24), 10652-10674. https://doi.org/10.1002/ece3.3488

Vancouver

Trogisch S, Schuldt A, Bauhus J, Blum JA, Both S, Buscot F et al. Toward a methodical framework for comprehensively assessing forest multifunctionality. Ecology and Evolution. 2017 Dez;7(24):10652-10674. doi: 10.1002/ece3.3488

Bibtex

@article{1d14462e260242f6ad43b703b8af6275,
title = "Toward a methodical framework for comprehensively assessing forest multifunctionality",
abstract = "Biodiversity–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.",
keywords = "Ecosystems Research, BEF-China, forest biodiversity experiments, high-throughput methods, multitrophic interactions, standardized protocols, BEF-China, forest biodiversity experiments, high-throughput methods, multitrophic interactions, standardized protocols",
author = "Stefan Trogisch and Andreas Schuldt and J{\"u}rgen Bauhus and Blum, {Juliet A.} and Sabine Both and Francois Buscot and Nadia Castro-Izaguierre and Douglas Chesters and Walter Durka and David Eichenberg and Alexandra Erfmeier and Markus Fischer and Christian Gei{\ss}ler and Markus Germany and Philipp Goebes and Jessica Gutknecht and Hahn, {Christoph Zacharias} and Sylvia Haider and Werner H{\"a}rdtle and Jin-Sheng He and Andrew Hector and Lydia H{\"o}nig and Yuanyuan Huang and Alexandra-Maria Klein and Peter K{\"u}hn and Matthias Kunz and Leppert, {Katrin N.} and Ying Li and Xiaojuan Liu and Niklaus, {Pascal A.} and Zhiqin Pei and Katherina Pietsch and Ricarda Prinz and Tobias Pro{\ss} and Michael Scherer-Lorenzen and Karsten Schmidt and Thomas Scholten and Steffen Seitz and Zhengshan Song and Michael Staab and {von Oheimb}, Goddert and Christina Wei{\ss}becker and Erik Welk and Christian Wirth and Tesfaye Wubet and Bo Yang and Xuefei Yang and Chao-Dong Zhu and Bernhard Schmid and Keping Ma and Helge Bruelheide",
year = "2017",
month = dec,
doi = "10.1002/ece3.3488",
language = "English",
volume = "7",
pages = "10652--10674",
journal = "Ecology and Evolution",
issn = "2045-7758",
publisher = "John Wiley & Sons Inc.",
number = "24",

}

RIS

TY - JOUR

T1 - Toward a methodical framework for comprehensively assessing forest multifunctionality

AU - Trogisch, Stefan

AU - Schuldt, Andreas

AU - Bauhus, Jürgen

AU - Blum, Juliet A.

AU - Both, Sabine

AU - Buscot, Francois

AU - Castro-Izaguierre, Nadia

AU - Chesters, Douglas

AU - Durka, Walter

AU - Eichenberg, David

AU - Erfmeier, Alexandra

AU - Fischer, Markus

AU - Geißler, Christian

AU - Germany, Markus

AU - Goebes, Philipp

AU - Gutknecht, Jessica

AU - Hahn, Christoph Zacharias

AU - Haider, Sylvia

AU - Härdtle, Werner

AU - He, Jin-Sheng

AU - Hector, Andrew

AU - Hönig, Lydia

AU - Huang, Yuanyuan

AU - Klein, Alexandra-Maria

AU - Kühn, Peter

AU - Kunz, Matthias

AU - Leppert, Katrin N.

AU - Li, Ying

AU - Liu, Xiaojuan

AU - Niklaus, Pascal A.

AU - Pei, Zhiqin

AU - Pietsch, Katherina

AU - Prinz, Ricarda

AU - Proß, Tobias

AU - Scherer-Lorenzen, Michael

AU - Schmidt, Karsten

AU - Scholten, Thomas

AU - Seitz, Steffen

AU - Song, Zhengshan

AU - Staab, Michael

AU - von Oheimb, Goddert

AU - Weißbecker, Christina

AU - Welk, Erik

AU - Wirth, Christian

AU - Wubet, Tesfaye

AU - Yang, Bo

AU - Yang, Xuefei

AU - Zhu, Chao-Dong

AU - Schmid, Bernhard

AU - Ma, Keping

AU - Bruelheide, Helge

PY - 2017/12

Y1 - 2017/12

N2 - Biodiversity–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.

AB - Biodiversity–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.

KW - Ecosystems Research

KW - BEF-China

KW - forest biodiversity experiments

KW - high-throughput methods

KW - multitrophic interactions

KW - standardized protocols

KW - BEF-China

KW - forest biodiversity experiments

KW - high-throughput methods

KW - multitrophic interactions

KW - standardized protocols

UR - http://www.scopus.com/inward/record.url?scp=85032884842&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/fa303454-0c0a-3dbf-aa01-a69618c87b6d/

U2 - 10.1002/ece3.3488

DO - 10.1002/ece3.3488

M3 - Journal articles

C2 - 29299246

VL - 7

SP - 10652

EP - 10674

JO - Ecology and Evolution

JF - Ecology and Evolution

SN - 2045-7758

IS - 24

ER -

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