Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China

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Standard

Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China. / Bruelheide, Helge; Nadrowski, Karin; Aßmann, Thorsten et al.
In: Methods in Ecology and Evolution, Vol. 5, No. 1, 01.2014, p. 74-89.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Bruelheide, H, Nadrowski, K, Aßmann, T, Bauhus, J, Both, S, Buscot, F, Chen, X-Y, Ding, B-Y, Durka, W, Erfmeier, A, Gutknecht, J, Guo, D, Guo, L-D, Härdtle, W, He, J-S, Klein, A-M, Kühn, P, Liang, Y, Liu, X, Michalski, SG, Niklaus, PA, Pei, K, Scherer-Lorenzen, M, Scholten, T, Schuldt, A, Seidler, G, Trogisch, S, Oheimb, G, Welk, E, Wirth, C, Wubet, T, Yang, X, Yu, M, Zhang, S, Zhou, H, Fischer, M, Ma, K & Schmid, B 2014, 'Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China', Methods in Ecology and Evolution, vol. 5, no. 1, pp. 74-89. https://doi.org/10.1111/2041-210X.12126

APA

Bruelheide, H., Nadrowski, K., Aßmann, T., Bauhus, J., Both, S., Buscot, F., Chen, X.-Y., Ding, B.-Y., Durka, W., Erfmeier, A., Gutknecht, J., Guo, D., Guo, L.-D., Härdtle, W., He, J.-S., Klein, A.-M., Kühn, P., Liang, Y., Liu, X., ... Schmid, B. (2014). Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China. Methods in Ecology and Evolution, 5(1), 74-89. https://doi.org/10.1111/2041-210X.12126

Vancouver

Bruelheide H, Nadrowski K, Aßmann T, Bauhus J, Both S, Buscot F et al. Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China. Methods in Ecology and Evolution. 2014 Jan;5(1):74-89. doi: 10.1111/2041-210X.12126

Bibtex

@article{b3fa042e57b74a9394b762964c728f9b,
title = "Designing forest biodiversity experiments: General considerations illustrated by a new large experiment in subtropical China",
abstract = "Summary: Biodiversity-ecosystem functioning (BEF) experiments address ecosystem-level consequences of species loss by comparing communities of high species richness with communities from which species have been gradually eliminated. BEF experiments originally started with microcosms in the laboratory and with grassland ecosystems. A new frontier in experimental BEF research is manipulating tree diversity in forest ecosystems, compelling researchers to think big and comprehensively. We present and discuss some of the major issues to be considered in the design of BEF experiments with trees and illustrate these with a new forest biodiversity experiment established in subtropical China (Xingangshan, Jiangxi Province) in 2009/2010. Using a pool of 40 tree species, extinction scenarios were simulated with tree richness levels of 1, 2, 4, 8 and 16 species on a total of 566 plots of 25·8 × 25·8 m each. The goal of this experiment is to estimate effects of tree and shrub species richness on carbon storage and soil erosion; therefore, the experiment was established on sloped terrain. The following important design choices were made: (i) establishing many small rather than fewer larger plots, (ii) using high planting density and random mixing of species rather than lower planting density and patchwise mixing of species, (iii) establishing a map of the initial 'ecoscape' to characterize site heterogeneity before the onset of biodiversity effects and (iv) manipulating tree species richness not only in random but also in trait-oriented extinction scenarios. Data management and analysis are particularly challenging in BEF experiments with their hierarchical designs nesting individuals within-species populations within plots within-species compositions. Statistical analysis best proceeds by partitioning these random terms into fixed-term contrasts, for example, species composition into contrasts for species richness and the presence of particular functional groups, which can then be tested against the remaining random variation among compositions. We conclude that forest BEF experiments provide exciting and timely research options. They especially require careful thinking to allow multiple disciplines to measure and analyse data jointly and effectively. Achieving specific research goals and synergy with previous experiments involves trade-offs between different designs and requires manifold design decisions.",
keywords = "Biology, BEF-China, Ecoscape, Genetic diversity, Planting pattern, Random partitions design, Species richness, Trait-oriented extinction sequence",
author = "Helge Bruelheide and Karin Nadrowski and Thorsten A{\ss}mann and J{\"u}rgen Bauhus and Sabine Both and Francois Buscot and Xiao-Yong Chen and Bing-Yang Ding and Walter Durka and Alexandra Erfmeier and Jessica Gutknecht and Dali Guo and Liang-Dong Guo and Werner H{\"a}rdtle and Jin-Sheng He and Alexandra-Maria Klein and Peter K{\"u}hn and Yu Liang and Xiaojuan Liu and Michalski, {Stefan G} and Niklaus, {Pascal A.} and Kequan Pei and Michael Scherer-Lorenzen and Thomas Scholten and Andreas Schuldt and Gunnar Seidler and Stefan Trogisch and Goddert Oheimb and Erik Welk and Christian Wirth and Tesfaye Wubet and Xuefei Yang and Mingjian Yu and Shouren Zhang and Hongzhang Zhou and Markus Fischer and Keping Ma and Bernhard Schmid",
year = "2014",
month = jan,
doi = "10.1111/2041-210X.12126",
language = "English",
volume = "5",
pages = "74--89",
journal = "Methods in Ecology and Evolution",
issn = "2041-210X",
publisher = "Wiley-VCH Verlag",
number = "1",

}

RIS

TY - JOUR

T1 - Designing forest biodiversity experiments

T2 - General considerations illustrated by a new large experiment in subtropical China

AU - Bruelheide, Helge

AU - Nadrowski, Karin

AU - Aßmann, Thorsten

AU - Bauhus, Jürgen

AU - Both, Sabine

AU - Buscot, Francois

AU - Chen, Xiao-Yong

AU - Ding, Bing-Yang

AU - Durka, Walter

AU - Erfmeier, Alexandra

AU - Gutknecht, Jessica

AU - Guo, Dali

AU - Guo, Liang-Dong

AU - Härdtle, Werner

AU - He, Jin-Sheng

AU - Klein, Alexandra-Maria

AU - Kühn, Peter

AU - Liang, Yu

AU - Liu, Xiaojuan

AU - Michalski, Stefan G

AU - Niklaus, Pascal A.

AU - Pei, Kequan

AU - Scherer-Lorenzen, Michael

AU - Scholten, Thomas

AU - Schuldt, Andreas

AU - Seidler, Gunnar

AU - Trogisch, Stefan

AU - Oheimb, Goddert

AU - Welk, Erik

AU - Wirth, Christian

AU - Wubet, Tesfaye

AU - Yang, Xuefei

AU - Yu, Mingjian

AU - Zhang, Shouren

AU - Zhou, Hongzhang

AU - Fischer, Markus

AU - Ma, Keping

AU - Schmid, Bernhard

PY - 2014/1

Y1 - 2014/1

N2 - Summary: Biodiversity-ecosystem functioning (BEF) experiments address ecosystem-level consequences of species loss by comparing communities of high species richness with communities from which species have been gradually eliminated. BEF experiments originally started with microcosms in the laboratory and with grassland ecosystems. A new frontier in experimental BEF research is manipulating tree diversity in forest ecosystems, compelling researchers to think big and comprehensively. We present and discuss some of the major issues to be considered in the design of BEF experiments with trees and illustrate these with a new forest biodiversity experiment established in subtropical China (Xingangshan, Jiangxi Province) in 2009/2010. Using a pool of 40 tree species, extinction scenarios were simulated with tree richness levels of 1, 2, 4, 8 and 16 species on a total of 566 plots of 25·8 × 25·8 m each. The goal of this experiment is to estimate effects of tree and shrub species richness on carbon storage and soil erosion; therefore, the experiment was established on sloped terrain. The following important design choices were made: (i) establishing many small rather than fewer larger plots, (ii) using high planting density and random mixing of species rather than lower planting density and patchwise mixing of species, (iii) establishing a map of the initial 'ecoscape' to characterize site heterogeneity before the onset of biodiversity effects and (iv) manipulating tree species richness not only in random but also in trait-oriented extinction scenarios. Data management and analysis are particularly challenging in BEF experiments with their hierarchical designs nesting individuals within-species populations within plots within-species compositions. Statistical analysis best proceeds by partitioning these random terms into fixed-term contrasts, for example, species composition into contrasts for species richness and the presence of particular functional groups, which can then be tested against the remaining random variation among compositions. We conclude that forest BEF experiments provide exciting and timely research options. They especially require careful thinking to allow multiple disciplines to measure and analyse data jointly and effectively. Achieving specific research goals and synergy with previous experiments involves trade-offs between different designs and requires manifold design decisions.

AB - Summary: Biodiversity-ecosystem functioning (BEF) experiments address ecosystem-level consequences of species loss by comparing communities of high species richness with communities from which species have been gradually eliminated. BEF experiments originally started with microcosms in the laboratory and with grassland ecosystems. A new frontier in experimental BEF research is manipulating tree diversity in forest ecosystems, compelling researchers to think big and comprehensively. We present and discuss some of the major issues to be considered in the design of BEF experiments with trees and illustrate these with a new forest biodiversity experiment established in subtropical China (Xingangshan, Jiangxi Province) in 2009/2010. Using a pool of 40 tree species, extinction scenarios were simulated with tree richness levels of 1, 2, 4, 8 and 16 species on a total of 566 plots of 25·8 × 25·8 m each. The goal of this experiment is to estimate effects of tree and shrub species richness on carbon storage and soil erosion; therefore, the experiment was established on sloped terrain. The following important design choices were made: (i) establishing many small rather than fewer larger plots, (ii) using high planting density and random mixing of species rather than lower planting density and patchwise mixing of species, (iii) establishing a map of the initial 'ecoscape' to characterize site heterogeneity before the onset of biodiversity effects and (iv) manipulating tree species richness not only in random but also in trait-oriented extinction scenarios. Data management and analysis are particularly challenging in BEF experiments with their hierarchical designs nesting individuals within-species populations within plots within-species compositions. Statistical analysis best proceeds by partitioning these random terms into fixed-term contrasts, for example, species composition into contrasts for species richness and the presence of particular functional groups, which can then be tested against the remaining random variation among compositions. We conclude that forest BEF experiments provide exciting and timely research options. They especially require careful thinking to allow multiple disciplines to measure and analyse data jointly and effectively. Achieving specific research goals and synergy with previous experiments involves trade-offs between different designs and requires manifold design decisions.

KW - Biology

KW - BEF-China

KW - Ecoscape

KW - Genetic diversity

KW - Planting pattern

KW - Random partitions design

KW - Species richness

KW - Trait-oriented extinction sequence

UR - http://www.scopus.com/inward/record.url?scp=84892471056&partnerID=8YFLogxK

U2 - 10.1111/2041-210X.12126

DO - 10.1111/2041-210X.12126

M3 - Journal articles

VL - 5

SP - 74

EP - 89

JO - Methods in Ecology and Evolution

JF - Methods in Ecology and Evolution

SN - 2041-210X

IS - 1

ER -

DOI