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Food web complexity underlies biodiversity effects on ecosystem functioning

  • Benayas, J. M. R., Newton, A. C., Diaz, A. & Bullock, J. M. Enhancement of biodiversity and ecosystem services by ecological restoration: a meta-analysis. Science 325, 1121–1124 (2009).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Cardinale, B. J. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Isbell, F. et al. Linking the influence and dependence of people on biodiversity across scales. Nature 546, 65–72 (2017).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Duffy, J. E., Godwin, C. M. & Cardinale, B. J. Biodiversity effects in the wild are common and as strong as key drivers of productivity. Nature 549, 261–264 (2017).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Chen, C., Xiao, W. & Chen, H. Y. H. Meta-analysis reveals global variations in plant diversity effects on productivity. Nature 638, 435–440 (2025).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Eisenhauer, N. et al. A multitrophic perspective on biodiversity–ecosystem functioning research. Adv. Ecol. Res. 61, 1–54 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Thompson, R. M., Hemberg, M., Starzomski, B. M. & Shurin, J. B. Trophic Levels and trophic tangles: the prevalence of omnivory in real food webs. Ecology 88, 612–617 (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Barnes, A. D. et al. Energy flux: the link between multitrophic biodiversity and ecosystem functioning. Trends Ecol. Evol. 33, 186–197 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, S. & Brose, U. Biodiversity and ecosystem functioning in food webs: the vertical diversity hypothesis. Ecol. Lett. 21, 9–20 (2018).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Poisot, T., Mouquet, N. & Gravel, D. Trophic complementarity drives the biodiversity-ecosystem functioning relationship in food webs. Ecol. Lett. 16, 853–861 (2013).

    Article 
    PubMed 

    Google Scholar
     

  • Albert, G., Gauzens, B., Loreau, M., Wang, S. & Brose, U. The hidden role of multi-trophic interactions in driving diversity–productivity relationships. Ecol. Lett. 25, 405–415 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Estes, J. A. et al. Trophic downgrading of planet Earth. Science 333, 301–306 (2011).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Tye, S. P., Fey, S. B., Gibert, J. P. & Siepielski, A. M. Predator mass mortality events restructure food webs through trophic decoupling. Nature 626, 335–340 (2024).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Dirzo, R. et al. Defaunation in the Anthropocene. Science 345, 401–406 (2014).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Hirt, M. R. et al. Environmental and anthropogenic constraints on animal space use drive extinction risk worldwide. Ecol. Lett. 24, 2576–2585 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Ceballos, G. et al. Accelerated modern human–induced species losses: entering the sixth mass extinction. Sci. Adv. 1, e1400253 (2015).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Blowes, S. A. et al. The geography of biodiversity change in marine and terrestrial assemblages. Science 366, 339–345 (2019).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Dornelas, M. et al. Assemblage time series reveal biodiversity change but not systematic loss. Science 344, 296–299 (2014).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Duffy, J. E. Why biodiversity is important to the functioning of real-world ecosystems. Front. Ecol. Environ. 7, 437–444 (2009).

    Article 

    Google Scholar
     

  • Jochum, M. et al. The results of biodiversity–ecosystem functioning experiments are realistic. Nat. Ecol. Evol. 4, 1485–1494 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Manning, P. et al. in Advances in Ecological Research vol. 61 (eds Eisenhauer, N. et al.) Ch. 3, 323–356 (Academic, 2019).

  • Duffy, J. E. et al. The functional role of biodiversity in ecosystems: incorporating trophic complexity. Ecol. Lett. 10, 522–538 (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Hines, J. et al. in Advances in Ecological Research vol. 53 (eds Woodward, G. & Bohan, D. A.) Ch. 4, 161–199 (Academic, 2015).

  • Reiss, J., Bridle, J. R., Montoya, J. M. & Woodward, G. Emerging horizons in biodiversity and ecosystem functioning research. Trends Ecol. Evol. 24, 505–514 (2009).

    Article 
    PubMed 

    Google Scholar
     

  • Thompson, R. M. et al. Food webs: reconciling the structure and function of biodiversity. Trends Ecol. Evol. 27, 689–697 (2012).

    Article 
    PubMed 

    Google Scholar
     

  • Thébault, E. & Loreau, M. The relationship between biodiversity and ecosystem functioning in food webs. Ecol. Res. 21, 17–25 (2006).

    Article 

    Google Scholar
     

  • Maureaud, A., Andersen, K. H., Zhang, L. & Lindegren, M. Trait-based food web model reveals the underlying mechanisms of biodiversity–ecosystem functioning relationships. J. Anim. Ecol. 89, 1497–1510 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Montoya, J. M., Rodríguez, M. A. & Hawkins, B. A. Food web complexity and higher-level ecosystem services. Ecol. Lett. 6, 587–593 (2003).

    Article 

    Google Scholar
     

  • Srivastava, D. S. & Bell, T. Reducing horizontal and vertical diversity in a foodweb triggers extinctions and impacts functions. Ecol. Lett. 12, 1016–1028 (2009).

    Article 
    PubMed 

    Google Scholar
     

  • Wu, D., Xu, C., Wang, S., Zhang, L. & Kortsch, S. Why are biodiversity—ecosystem functioning relationships so elusive? Trophic interactions may amplify ecosystem function variability. J. Anim. Ecol. 92, 367–376 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Zhao, Q. et al. Relationships of temperature and biodiversity with stability of natural aquatic food webs. Nat. Commun. 14, 3507 (2023).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Schneider, F. D., Brose, U., Rall, B. C. & Guill, C. Animal diversity and ecosystem functioning in dynamic food webs. Nat. Commun. 7, 12718 (2016).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Ward, C. L. & McCann, K. S. A mechanistic theory for aquatic food chain length. Nat. Commun. 8, 2028 (2017).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Post, D. M. The long and short of food-chain length. Trends Ecol. Evol. 17, 269–277 (2002).

    Article 

    Google Scholar
     

  • Oksanen, L., Fretwell, S. D., Arruda, J. & Niemela, P. Exploitation ecosystems in gradients of primary productivity. Am. Nat. 118, 240–261 (1981).

    Article 

    Google Scholar
     

  • Yodzis, P. Energy flow and the vertical structure of real ecosystems. Oecologia 65, 86–88 (1984).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Beauchesne, D., Cazelles, K., Archambault, P., Dee, L. E. & Gravel, D. On the sensitivity of food webs to multiple stressors. Ecol. Lett. 24, 2219–2237 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Laigle, I. et al. Species traits as drivers of food web structure. Oikos 127, 316–326 (2018).

    Article 
    ADS 

    Google Scholar
     

  • Tylianakis, J. M. et al. Resource heterogeneity moderates the biodiversity-function relationship in real world ecosystems. PLoS Biol. 6, e122 (2008).

    Article 
    PubMed Central 

    Google Scholar
     

  • Brun, P. et al. The productivity-biodiversity relationship varies across diversity dimensions. Nat. Commun. 10, 5691 (2019).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Fine, P. V. A. Ecological and evolutionary drivers of geographic variation in species diversity. Annu. Rev. Ecol. Evol. Syst. 46, 369–392 (2015).

    Article 

    Google Scholar
     

  • Barnes, A. D. et al. Consequences of tropical land use for multitrophic biodiversity and ecosystem functioning. Nat. Commun. 5, 5351 (2014).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Gauzens, B. et al. Fluxweb: an R package to easily estimate energy fluxes in food webs. Methods Ecol. Evol. 10, 270–279 (2019).

    Article 

    Google Scholar
     

  • Burdon, F. J., McIntosh, A. R. & Harding, J. S. Mechanisms of trophic niche compression: evidence from landscape disturbance. J. Anim. Ecol. 89, 730–744 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Strona, G. & Bradshaw, C. J. A. Coextinctions dominate future vertebrate losses from climate and land use change. Sci. Adv. 8, eabn4345 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barnes, A. D. et al. Biodiversity enhances the multitrophic control of arthropod herbivory. Sci. Adv. 6, eabb6603 (2020).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dainese, M. et al. A global synthesis reveals biodiversity-mediated benefits for crop production. Sci. Adv. 14, eaax0121 (2019).

    Article 
    ADS 

    Google Scholar
     

  • Glasser, J. W. The role of predation in shaping and maintaining the structure of communities. Am. Nat. 113, 631–641 (1979).

    Article 

    Google Scholar
     

  • Zheng, J. et al. Nematode predation modulates the energetic dynamics of soil micro-food webs with consequences for soil multifunctionality. Soil Biol. Biochem. 212, 110019 (2026).

    Article 
    CAS 

    Google Scholar
     

  • Rooney, N., McCann, K., Gellner, G. & Moore, J. C. Structural asymmetry and the stability of diverse food webs. Nature 442, 265–269 (2006).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Neutel, A.-M., Heesterbeek, J. A. P. & de Ruiter, P. C. Stability in real food webs: weak links in long loops. Science 296, 1120–1123 (2002).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Polis, G. A. & Strong, D. R. Food web complexity and community dynamics. Am. Nat. 147, 813–846 (1996).

    Article 

    Google Scholar
     

  • Shurin, J. B. et al. A cross-ecosystem comparison of the strength of trophic cascades. Ecol. Lett. 5, 785–791 (2002).

    Article 

    Google Scholar
     

  • Elmhagen, B., Ludwig, G., Rushton, S. P., Helle, P. & Lindén, H. Top predators, mesopredators and their prey: interference ecosystems along bioclimatic productivity gradients. J. Anim. Ecol. 79, 785–794 (2010).

    Article 
    PubMed 
    CAS 

    Google Scholar
     

  • Gordon, C. E., Feit, A., Grüber, J. & Letnic, M. Mesopredator suppression by an apex predator alleviates the risk of predation perceived by small prey. Proc. R. Soc. B 282, 20142870 (2015).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Digel, C., Curtsdotter, A., Riede, J., Klarner, B. & Brose, U. Unravelling the complex structure of forest soil food webs: higher omnivory and more trophic levels. Oikos 123, 1157–1172 (2014).

    Article 
    ADS 

    Google Scholar
     

  • Perkins, D. M. et al. Consistent predator-prey biomass scaling in complex food webs. Nat. Commun. 13, 4990 (2022).

    Article 
    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar
     

  • Gutgesell, M. K. et al. On the dynamic nature of omnivory in a changing world. BioScience 72, 416–430 (2022).

    Article 

    Google Scholar
     

  • De Laender, F. et al. Reintroducing environmental change drivers in biodiversity–ecosystem functioning research. Trends Ecol. Evol. 31, 905–915 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brimacombe, C. et al. Publication-driven consistency in food web structures: implications for comparative ecology. Ecology 106, e4467 (2025).

    Article 
    PubMed 

    Google Scholar
     

  • Havens, K. E. Pelagic food web structure in Adirondack Mountain, USA, lakes of varying acidity. Can. J. Fish. Aquat. Sci. 50, 149–155 (1993).

    Article 

    Google Scholar
     

  • Caroni, R., Piscia, R. & Manca, M. Indicators of climate-driven change in long-term zooplankton composition: insights from Lake Maggiore (Italy). Water 17, 511 (2025).

    Article 

    Google Scholar
     

  • Brauns, M., Kneis, D., Brabender, M. & Weitere, M. Habitat availability determines food chain length and interaction strength in food webs of a large lowland river. River Res. Appl. 38, 323–333 (2022).

    Article 

    Google Scholar
     

  • Hall, R. O. Jr., Wallace, J. B. & Eggert, S. L. Organic matter flow in stream food webs with reduced detrital resource base. Ecology 81, 3445–3463 (2000).

    Article 

    Google Scholar
     

  • Saito, V. S. et al. Untangling the complex food webs of tropical rainforest streams. J. Anim. Ecol. 93, 1022–1035 (2024).

    Article 
    PubMed 

    Google Scholar
     

  • Perkins, D. M. et al. Bending the rules: exploitation of allochthonous resources by a top-predator modifies size-abundance scaling in stream food webs. Ecol. Lett. 21, 1771–1780 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • O’Gorman, E. J. et al. Unexpected changes in community size structure in a natural warming experiment. Nat. Clim. Change 7, 659–663 (2017).

    Article 
    ADS 

    Google Scholar
     

  • Gauzens, B., Rall, B. C., Mendonça, V., Vinagre, C. & Brose, U. Biodiversity of intertidal food webs in response to warming across latitudes. Nat. Clim. Change 10, 264–269 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Kortsch, S. et al. Disentangling temporal food web dynamics facilitates understanding of ecosystem functioning. J. Anim. Ecol. 90, 1205–1216 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Mor, J.-R. et al. Dam regulation and riverine food-web structure in a Mediterranean river. Sci. Total Environ. 625, 301–310 (2018).

    Article 
    ADS 
    PubMed 
    CAS 

    Google Scholar
     

  • Brose, U. et al. Predator traits determine food-web architecture across ecosystems. Nat. Ecol. Evol. 3, 919–927 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Peters, R. H. The Ecological Implications of Body Size (Cambridge Univ. Press, 1983).

  • Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. & West, G. B. Toward a metabolic theory of ecology. Ecology 85, 1771–1789 (2004).

    Article 

    Google Scholar
     

  • Lang, B., Ehnes, R. B., Brose, U. & Rall, B. C. Temperature and consumer type dependencies of energy flows in natural communities. Oikos 126, 1717–1725 (2017).

    Article 
    ADS 

    Google Scholar
     

  • Gauzens, B. et al. Fluxweb: estimate energy fluxes in food webs. Methods Ecol. Evol. 10, 270–279 (2019).

    Article 

    Google Scholar
     

  • Moore, J. C. & de Ruiter, P. C. Energetic Food Webs: an Analysis of Real and Model Ecosystems (Oxford Univ. Press, 2012).

  • Pinheiro, J., Bates, D. & R Core Team. Nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1.164 (2023).

  • Pinheiro, J. & Bates, D. Mixed-Effects Models in S and S-PLUS (Springer Science & Business Media, 2006).

  • Lefcheck, J. S. PiecewiseSEM: piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol. Evol. 7, 573–579 (2016).

    Article 

    Google Scholar
     

  • Shipley, B. Confirmatory path analysis in a generalized multilevel context. Ecology 90, 363–368 (2009).

    Article 
    PubMed 

    Google Scholar
     

  • Henseler, J., Fassott, G., Dijkstra, T. K. & Wilson, B. Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling. Eur. J. Inf. Syst. 21, 99–112 (2012).

    Article 

    Google Scholar
     

  • R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2024).

  • Barnes, A., gauzens & B. E. ecodivlab/BEF-in-Food-Webs: BEF in Food Webs code and data. Zenodo https://doi.org/10.5281/zenodo.17728782 (2026).

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