Data from: Engineering a plant community to deliver multiple ecosystem services

  • Jonathan Storkey (Creator)
  • Thomas Döring (Creator)
  • John Baddeley (Contributor)
  • Rosemary P Collins (Creator)
  • Stephen Roderick (Creator)
  • Hannah E Jones (Creator)
  • Christine Watson (Contributor)



The sustainable delivery of multiple ecosystem services requires the management of functionally diverse biological communities. In an agricultural context, an emphasis on food production has often led to a loss of biodiversity to the detriment of other ecosystem services such as the maintenance of soil health and pest regulation. In scenarios where multiple species can be grown together, it may be possible to better balance environmental and agronomic services through the targeted selection of companion species. We used the case study of legume-based cover crops to engineer a plant community that delivered the optimal balance of six ecosystem services: early productivity, regrowth following mowing, weed suppression, support of invertebrates, soil fertility building (measured as yield of following crop), and conservation of nutrients in the soil. An experimental species pool of 12 cultivated legume species was screened for a range of functional traits and ecosystem services at five sites across a geographical gradient in the United Kingdom. All possible species combinations were then analyzed, using a process-based model of plant competition, to identify the community that delivered the best balance of services at each site. In our system, low to intermediate levels of species richness (one to four species) that exploited functional contrasts in growth habit and phenology were identified as being optimal. The optimal solution was determined largely by the number of species and functional diversity represented by the starting species pool, emphasizing the importance of the initial selection of species for the screening experiments. The approach of using relationships between functional traits and ecosystem services to design multifunctional biological communities has the potential to inform the design of agricultural systems that better balance agronomic and environmental services and meet the current objective of European agricultural policy to maintain viable food production in the context of the sustainable management of natural resources.,Data from competition model for optimisation of multi-functionalityThe competition model predicted the relative biomass of component species in all theoretical mixes using site specific weather and management data. These data were used to calculate the delivery of each service (presented in this file) to calculate the index of multi-functionality, I.optimisation.xlsxData from field trialsData on site properties and management diaries are presented along with data files of measurements done on the legume monocultures and all species mix that were used to derive ecosystem service delivery at each site.field_data.xlsxTrait dataA summary of the traits measured on the legume species and tables of the ecosystem service values derived from the data in the field data file.traits.xlsx,
Date made available1 Jan 2014

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