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Biodiversity often enhances ecosystem functioning likely due to multiple, often temporarily separated drivers. Yet, most studies are based on one or two snapshot measurements per year. We estimated productivity using bi-weekly estimates of high-resolution canopy height in 2 years with terrestrial laser scanning (TLS) in a grassland diversity experiment. We measured how different facets of plant diversity (functional dispersion [FDis], functional identity [PCA species scores], and species richness [SR]) predict aboveground biomass over time. We found strong intra- and inter-annual variability in the relative importance of different mechanisms underlying the diversity effects on mean canopy height, i.e., resource partitioning (via FDis) and identity effects (via species scores), respectively. TLS is a promising tool to quantify community development non-destructively and to unravel the temporal dynamics of biodiversity-ecosystem functioning mechanisms. Our results show that harvesting at estimated peak biomass—as done in most grassland experiments—may miss important variation in underlying mechanisms driving cumulative biomass production.

Human activities are causing major changes in biological communities worldwide. Due to concern about the consequences of these changes, an academic conversation about biodiversity and ecosystem functioning (BEF) has emerged over the last few decades. Here we use a keyword co-occurrence analysis to characterize and review 28 years of research focused on these terms. We find that the rapidly growing literature has developed in four research domains. The first two domains “BEF Experiments” and “Science Policy” emerge early, and persist through time, as core research areas with emphases on experiments and management, respectively. The second two domains, “Agricultural Landscapes” and “Aquatic Food Webs”, arise as integrative domains that connect divisions in scientific discussion surrounding BEF Experiments and Science Policy. Terms related to species interactions (i.e. pollinator, predator, food web) appear more commonly in the two integrative domains reflecting shared interests of many scientists focusing on biodiversity and ecosystem functioning. Despite shared interests in food webs, research in the four domains differ with respect to their spatial scale, baseline comparisons, and currency of measurements. Food-web research that bridges these divides should be pushed to the forefront of biodiversity and ecosystem functioning research priorities.

During the last decades, a number of biodiversity experiments have been established to study the effects of plant diversity on ecosystem functioning. This research has been accompanied by a controversial discussion how “diversity effects” in experimental communities are related to the role of biodiversity in “real-world” ecosystems. To explore potential relationships, we compared plant community characteristics of 12 semi-natural managed reference grasslands to selected 10-year old communities of a large grassland biodiversity experiment (Jena Experiment): two communities initially sown with 60 species (JE60), and two communities assembled naturally during succession from bare soil (JESuc). Compared to semi-natural grasslands (17.6 ± 5.6), JE60 had higher species richness (27.5 ± 0.8), while species richness in JESuc (15.2 ± 0.5) was not different on subplots of 0.64 m2 size. Evenness and spatial heterogeneity were similar among grassland types, but biomass proportions of legumes and forbs were higher in JE60, while JESuc and semi-natural grasslands were dominated by grasses. Structural equation modelling applied to identify the drivers of biomass production in mixtures of the Jena Experiment with similar species richness (sown with 8, 16, and 60 species) and reference grasslands, showed no direct relationships between observed species richness and biomass production. In contrast, functional characteristics related to nitrogen acquisition and use were the most important variables explaining community biomass production. These functional characteristics were either driven by management intensity (fertilisation) in the “real world” reference grasslands or established by sowing in the experimental grasslands. Our results imply that species functional characteristics are key for a better understanding of the mechanisms underlying community assembly and ecosystem functioning and that the drivers of ecosystem functioning are not fundamentally different between experimental and “real-world” grasslands. Thus, experimental studies with designed extinction scenarios may help to predict the consequences of species loss for ecosystem functioning in “real-world” ecosystems.

Ecosystem responses to changes in species diversity are often studied individually. However, changes in species diversity can simultaneously influence multiple interdependent ecosystem functions. Therefore, an important challenge is to determine when and how changes in species diversity that influence one function will also drive changes in other functions. By providing the underlying structure of species interactions, ecological networks can quantify connections between biodiversity and multiple ecosystem functions. Here, we review parallels in the conceptual development of biodiversity–ecosystem functioning (BEF) and food web theory (FWT) research. Subsequently, we evaluate three common principles that unite these two research areas by explaining the patterns, concentrations, and direction of the flux of nutrients and energy through the species in diverse interaction webs. We give examples of combined BEF–FWT approaches that can be used to identify vulnerable species and habitats and to evaluate links that drive trade-offs between multiple ecosystems functions. These combined approaches reflect promising trends towards better management of biodiversity in landscapes that provide essential ecosystem services supporting human well-being.