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Using individual-based trait frequency distributions to forecast plant-pollinator network responses to environmental change
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- Cantwell-Jones, Aoife (author)
- Georgina Mace Centre for The Living Planet, Department of Life Sciences, Silwood Park, Imperial College London, Ascot, United Kingdom
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- Tylianakis, Jason M. (author)
- Georgina Mace Centre for The Living Planet, Department of Life Sciences, Silwood Park, Imperial College London, Ascot, United Kingdom; Bioprotection Aotearoa, School of Biological Sciences, Private Bag 4800, University of Canterbury, Christchurch, New Zealand
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- Larson, Keith, Dr. 1968- (author)
- Umeå universitet,Institutionen för ekologi, miljö och geovetenskap
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- (creator_code:org_t)
- John Wiley & Sons, 2024
- 2024
- English.
- In: Ecology Letters. - : John Wiley & Sons. - 1461-023X .- 1461-0248. ; 27:1
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Determining how and why organisms interact is fundamental to understanding ecosystem responses to future environmental change. To assess the impact on plant-pollinator interactions, recent studies have examined how the effects of environmental change on individual interactions accumulate to generate species-level responses. Here, we review recent developments in using plant-pollinator networks of interacting individuals along with their functional traits, where individuals are nested within species nodes. We highlight how these individual-level, trait-based networks connect intraspecific trait variation (as frequency distributions of multiple traits) with dynamic responses within plant-pollinator communities. This approach can better explain interaction plasticity, and changes to interaction probabilities and network structure over spatiotemporal or other environmental gradients. We argue that only through appreciating such trait-based interaction plasticity can we accurately forecast the potential vulnerability of interactions to future environmental change. We follow this with general guidance on how future studies can collect and analyse high-resolution interaction and trait data, with the hope of improving predictions of future plant-pollinator network responses for targeted and effective conservation.
Subject headings
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Keyword
- environmental filtering
- functional traits
- global change
- interactions
- intraspecific variation
- plasticity
Publication and Content Type
- ref (subject category)
- art (subject category)
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