• Energy Research

AbstractDespite a growing body of research linking bioenergy cultivation to changing patterns of biodiversity, there has been remarkably little interest in how bioenergy plantations affect key ecosystem processes underpinning important ecosystem services. In this study, we compare how the processes of predation by ground arthropods and litter decomposition varied between Short Rotation Coppice (SRC) willow bioenergy plantations and alternative land‐uses: arable and set‐aside (agricultural land taken out of production). We deployed litter bags to measure variation in decomposition, and a prey removal assay coupled with pitfall traps and direct searches to investigate variation in predation pressure. Decomposition rate was higher in willow SRC and set‐aside than in cereal crops. Willow SRC had the highest abundance and diversity of ground‐dwelling arthropod predators, but land‐use had no detectable influence on predation of fly pupae or the combined activity‐density of the two principal Coleoptera families (carabids and staphylinids). Overall, our study demonstrates that the conversion of arable land to SRC may have implications for the rate of some, but not all, ecosystem processes, and highlights the need for further research in this area.

AbstractDespite a growing body of research linking bioenergy cultivation to changing patterns of biodiversity, there has been remarkably little interest in how bioenergy plantations affect key ecosystem processes underpinning important ecosystem services. In this study, we compare how the processes of predation by ground arthropods and litter decomposition varied between Short Rotation Coppice (SRC) willow bioenergy plantations and alternative land‐uses: arable and set‐aside (agricultural land taken out of production). We deployed litter bags to measure variation in decomposition, and a prey removal assay coupled with pitfall traps and direct searches to investigate variation in predation pressure. Decomposition rate was higher in willow SRC and set‐aside than in cereal crops. Willow SRC had the highest abundance and diversity of ground‐dwelling arthropod predators, but land‐use had no detectable influence on predation of fly pupae or the combined activity‐density of the two principal Coleoptera families (carabids and staphylinids). Overall, our study demonstrates that the conversion of arable land to SRC may have implications for the rate of some, but not all, ecosystem processes, and highlights the need for further research in this area.

AbstractLand-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.

AbstractLand-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.