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

被引:16
作者
Engbersen, Nadine [1 ]
Stefan, Laura [1 ]
Brooker, Rob W. [2 ]
Schob, Christian [1 ]
机构
[1] Swiss Fed Inst Technol, Inst Agr Sci, CH-8092 Zurich, Switzerland
[2] James Hutton Inst, Aberdeen, Scotland
基金
瑞士国家科学基金会;
关键词
agroecology; biodiversity effects; biodiversity-productivity; complementarity effects; crop mixtures; intercropping; plant traits; selection effects; FUNCTIONAL TRAITS; LEAF-AREA; DIVERSITY; FACILITATION; COMPLEMENTARITY; WATER; INTERCROPS; PHYSIOLOGY; COMPONENT; SELECTION;
D O I
10.1002/eap.2479
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Increasing biodiversity generally enhances productivity through selection and complementarity effects not only in natural, but also in agricultural, systems. However, the quest to explain why diverse cropping systems are more productive than monocultures remains a central goal in agricultural science. In a mesocosm experiment, we constructed monocultures, two- and four-species mixtures from eight crop species with or without fertilizer and both in temperate Switzerland and dry, Mediterranean Spain. We measured physical factors and plant traits and related these in structural equation models to selection and complementarity effects to explain seed yield differences between monocultures and mixtures. Increased crop diversity increased seed yield in Switzerland. This positive biodiversity effect was driven to almost the same extent by selection and complementarity effects, which increased with plant height and specific leaf area (SLA), respectively. Also, ecological processes driving seed yield increases from monocultures to mixtures differed from those responsible for seed yield increases through the diversification of mixtures from two to four species. Whereas selection effects were mainly driven by one species, complementarity effects were linked to larger leaf area per unit leaf weight. Seed yield increases due to mixture diversification were driven only by complementarity effects and were not mediated through the measured traits, suggesting that ecological processes beyond those measured in this study were responsible for positive diversity effects on yield beyond two-species mixtures. By understanding the drivers of positive biodiversity-productivity relationships, we can improve our ability to predict species combinations that enhance ecosystem functioning and can promote sustainable agricultural production.
引用
收藏
页数:11
相关论文
共 51 条
  • [21] The results of biodiversity-ecosystem functioning experiments are realistic
    Jochum, Malte
    Fischer, Markus
    Isbell, Forest
    Roscher, Christiane
    van der Plas, Fons
    Boch, Steffen
    Boenisch, Gerhard
    Buchmann, Nina
    Catford, Jane A.
    Cavender-Bares, Jeannine
    Ebeling, Anne
    Eisenhauer, Nico
    Gleixner, Gerd
    Hoelzel, Norbert
    Kattge, Jens
    Klaus, Valentin H.
    Kleinebecker, Till
    Lange, Markus
    Le Provost, Gaetane
    Meyer, Sebastian T.
    Molina-Venegas, Rafael
    Mommer, Liesje
    Oelmann, Yvonne
    Penone, Caterina
    Prati, Daniel
    Reich, Peter B.
    Rindisbacher, Abiel
    Schaefer, Deborah
    Scheu, Stefan
    Schmid, Bernhard
    Tilman, David
    Tscharntke, Teja
    Vogel, Anja
    Wagg, Cameron
    Weigelt, Alexandra
    Weisser, Wolfgang W.
    Wilcke, Wolfgang
    Manning, Peter
    [J]. NATURE ECOLOGY & EVOLUTION, 2020, 4 (11) : 1485 - +
  • [22] Diversity-dependent productivity in semi-natural grasslands following climate perturbations
    Kahmen, A
    Perner, J
    Buchmann, N
    [J]. FUNCTIONAL ECOLOGY, 2005, 19 (04) : 594 - 601
  • [23] Plant functional traits and the multidimensional nature of species coexistence
    Kraft, Nathan J. B.
    Godoy, Oscar
    Levine, Jonathan M.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (03) : 797 - 802
  • [24] lmerTest Package: Tests in Linear Mixed Effects Models
    Kuznetsova, Alexandra
    Brockhoff, Per B.
    Christensen, Rune H. B.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 82 (13): : 1 - 26
  • [25] PIECEWISESEM: Piecewise structural equation modelling in R for ecology, evolution, and systematics
    Lefcheck, Jonathan S.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2016, 7 (05): : 573 - 579
  • [26] Least-Squares Means: The R Package lsmeans
    Lenth, Russell V.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2016, 69 (01): : 1 - 33
  • [27] Plant diversity and overyielding: insights from belowground facilitation of intercropping in agriculture
    Li, Long
    Tilman, David
    Lambers, Hans
    Zhang, Fu-Suo
    [J]. NEW PHYTOLOGIST, 2014, 203 (01) : 63 - 69
  • [28] Common vetch cultivars improve yield of oat row intercropping on the Qinghai-Tibetan plateau by optimizing photosynthetic performance
    Li, Rui
    Zhang, Zhixin
    Tang, Wei
    Huang, Yafeng
    Coulter, Jeffrey A.
    Nan, Zhibiao
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2020, 117
  • [29] Partitioning selection and complementarity in biodiversity experiments
    Loreau, M
    Hector, A
    [J]. NATURE, 2001, 412 (6842) : 72 - 76
  • [30] Is the change of plant-plant interactions with abiotic stress predictable? A meta-analysis of field results in arid environments
    Maestre, FT
    Valladares, F
    Reynolds, JF
    [J]. JOURNAL OF ECOLOGY, 2005, 93 (04) : 748 - 757