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Interannual variability,stability and resilience in UK plant communities
Institution:1. Neuroscience Program, University of Illinois, Urbana-Champaign, 405 N Mathews Ave., Urbana, IL 61801, United States;2. Department of Comparative Biosciences, University of Illinois, Urbana-Champaign, 2001 S Lincoln Ave., Urbana, IL 61802, United States;3. Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC V6T 1Z4, Canada;1. University of Southern Queensland, Institute for Agriculture and the Environment, Toowoomba, Queensland 4350, Australia;2. Robert Wicks Pest Animal Research Centre, Biosecurity Queensland, Queensland Department of Agriculture and Fisheries, Toowoomba, Queensland 4350, Australia;3. Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences (SLU), SE-73091 Riddarhyttan, Sweden;4. Vertebrate Pest Research Unit, New South Wales Department of Primary Industries, The University of New England, Armidale, New South Wales 2351, Australia;5. Department of Biology and Biotechnologies, University of Rome, Sapienza, 00185 Rome, Italy;6. National Wildlife Research Centre, US Department of Agriculture, Fort Collins, CO 80521-2154, United States;7. Vertebrate Pest Research Unit, New South Wales Department of Primary Industries, Orange, New South Wales 2800, Australia;8. Department of Biology, University of British Columbia, Kelowna, Canada V1V 1V7;9. School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2DG, United Kingdom;10. Mammal Research Institute, Polish Academy of Sciences, 17-230 Bia?owie?a, Poland;11. Norwegian Institute for Nature Research, PO Box 5685 Torgard, NO-7485 Trondheim, Norway;13. School of Biology and Environmental Sciences, University of Mpumalanga, Nelspruit 1200, South Africa
Abstract:Plant communities are often assumed to be stable on a year-to-year basis. We present evidence that species composition in permanent quadrats changes considerably between years at a range of Environmental Change Network sites across the UK. The extent of this variability varies with habitat type. Communities associated with low disturbance levels and low agricultural inputs, particularly moorland (upland grass and heath) and bog communities, are most stable.Inter-annual variability should, therefore, be considered in designing monitoring schemes to ensure that frequency of recording is sufficient to avoid short-term fluctuations obscuring long-term trends.More diverse communities were more stable, with less species turnover between years. However, diverse communities also tended to be dominated by slow-growing, slow-reproducing plants, adapted to low nutrient conditions, identified as ‘stress tolerators’ in the Grime CSR scheme and low Ellenberg N values. Species compositional stability was more strongly correlated with these indices of plant functional types than species richness. Nevertheless, a significant effect of species richness could be identified, even after other causes of variation were accounted for.More stable communities in our study are likely to be resilient to low levels of environmental change, although they may still change, and possibly change dramatically if critical ‘tipping points’ are reached.
Keywords:Vegetation  Stability  Diversity  Functional types  Inter-annual variability  Monitoring
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