Abstract

Arable weeds threaten farming and food production, impacting on productivity. Large-scale data on weed populations are typically lacking, and changes are frequently undocumented until they reach problem levels. Managing the future spread of weeds requires that we understand the factors that influence current densities and distributions. In doing so, one of the challenges is to measure populations at a large enough scale to be able to accurately measure changes in densities and distributions. Here we analyse the density and distribution of a major weed (Alopecurus myosuroides) on a large scale. Our objectives were to (i) develop a methodology for rapid measurement of occurrence and abundance, (ii) test hypotheses about the roles of soils and climate variation in determining densities, and (iii) use this information to identify areas in which occurrence could increase in the future. Populations were mapped through England over 4 years in 4631 locations. We also analysed UK atlas data published over the past 50 years. Densities of populations show significant interannual variability, but historical data show that the species has spread. We find significant impacts of soil and rainfall on densities, which increase with the proportion of heavy soils, but decrease with increasing rainfall. Compared with independent atlas data we found that our statistical models provide good predictions of large-scale occupancy and we provide maps of current and potential densities. Models of spread highlight the localised nature of colonisation, and this emphasises the need for management to limit dispersal. Comparisons of current, historical and potential distributions suggest sizeable habitable areas in which increases in abundance are still possible. © 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Highlights

  • The large-scale distributions of plants result from factors operating at a hierarchy of scales

  • Unravelling this complexity is vital in managing the spread of pest plants such as arable and invasive weeds to enable proactive action against losses to crop yields, and in identifying areas likely to be susceptible in the future

  • (i) we present a rapid method for measuring weed population densities across a landscape and (ii) we show that this method captures the distribution of the species, by comparison with independent atlas data

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Summary

Introduction

The large-scale distributions of plants result from factors operating at a hierarchy of scales. The factors driving weed abundance can frequently be operating at larger scales.[11] These can include changes in land management,[12] climate[13] or evolved herbicide resistance.[14] For such reasons, it is important to understand changes in distributions of weeds beyond the field scale. Managing the future spread of weeds requires that we understand the factors that influence current densities and distributions. Our objectives were to (i) develop a methodology for rapid measurement of occurrence and abundance, (ii) test hypotheses about the roles of soils and climate variation in determining densities, and (iii) use this information to identify areas in which occurrence could increase in the future

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