Abstract

Land-use change is having a negative effect on pollinator communities, and these changes in community structure may have unexpected impacts on the functional composition of those communities. Such changes in functional composition may impact the capacity of these assemblages to deliver pollination services, affecting the reproduction of native and wild plants. However, elucidating those relationships requires studies in multiple spatial scales because effects and consequences are different considering biological groups and interactions. In that sense, by using a multi-trait approach, we evaluated whether the landscape structure and/or local environmental characteristics could explain the functional richness, divergence, and dispersion of bee communities in agroecosystems. In addition, we investigated to what extent this approach helps to predict effects on pollination services. This study was conducted in an agroecosystem situated in the Chapada Diamantina region, State of Bahia, Brazil. Bees were collected using two complementary techniques in 27 sample units. They were classified according to their response traits (e.g., body size, nesting location) and effect traits (e.g., means of pollen transportation, specialty in obtaining resources). The Akaike information criterion was used to select the best models created through the additive combination of landscape descriptors (landscape diversity, mean patch shape, and local vegetation structure) at the local, proximal, and broad landscape levels. Our results indicate that both landscape heterogeneity and configuration matter in explaining the three properties of bee functional diversity. We indicate that functional diversity is positively correlated with compositional and configurational heterogeneity. These results suggest that landscape and local scale management to promote functional diversity in pollinator communities may be an effective mechanism for supporting increased pollination services.

Highlights

  • Animal pollination is considered an essential ecosystem service

  • Functional richness indicates how much of a multi-trait space is occupied by a sample of species from a biological community

  • The volume occupied in a community of bees considering a multi-trait space is strongly dependent on the diversity of land cover types at broad spatial scales

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Summary

Introduction

About 300,000 (90% of total angiosperm species) plant species depend on animal pollination (Ollerton et al, 2011), and 75% of agricultural food crops benefit in some way from the ecosystem services provided by pollinators (Klein et al, 2007). Among these animals, bees are considered the most expressive pollinators in both temperate and tropical areas, having diverse nesting habits, different degrees of sociality, and feeding habits. Much consideration is needed to understand how these landscape changes may increase or decrease pollinator diversity in different contexts

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