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Global Change Biology
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A meta‐analysis of responses in floral traits and flower–visitor interactions to water deficit

Authors: Kuppler, Jonas; Kotowska, Martyna M.; Kotowska, Martyna M.; 2Plant Ecology and Ecosystems Research University of Göttingen Göttingen Germany;

A meta‐analysis of responses in floral traits and flower–visitor interactions to water deficit

Abstract

AbstractAlterations in water availability and drought events as predicted by climate change scenarios will increasingly impact natural communities with effects already emerging at present. Water deficit leads to increasing physiological stress in plants, likely affecting floral development and causing changes in floral morphology, nectar and pollen production or scent. Understanding how these floral traits are altered by water deficit is necessary to predict changes in plant–pollinator interactions and how communities are impacted in the future. Here we employ a meta‐analysis approach to synthesize the current evidence of experimental water deficit on floral traits and plant–pollinator interactions. Furthermore, we explore experimental factors potentially increasing heterogeneity between studies and provide ideas how to enhance comparability between studies. In the end, we highlight future directions and knowledge gaps for floral traits and plant–pollinator interactions under water deficit. Our analysis showed consistent decreases in floral size, number of flowers and nectar volume to reduced water availability. Other floral traits such as the start of flowering or herkogamy showed no consistent pattern. This indicates that effects of reduced water availability differ between specific traits that are potentially involved in different functions such as pollinator attraction or efficiency. We found no general decreasing visitation rates with water deficit for flower–visitor interactions. Furthermore, the comparison of available studies suggests that increased reporting of plant stress severity and including more hydraulic and physiological measurements will improve the comparability across experiments and aid a more mechanistic understanding of plant–pollinator interactions under altered environmental conditions. Overall, our results show that water deficit has the potential to strongly affect plant–pollinator interactions via changes in specific floral traits. Linking these changes to pollination services and pollinator performance is one crucial step for understanding how changing water availability and drought events under climate change will alter plant and pollinator communities.

Country
Germany
Related Organizations
Keywords

Insect-plant relationships, info:eu-repo/classification/ddc/570, Plant Nectar, Dürre, info:eu-repo/classification/ddc/580, Water, Flowers, Klimaänderung, Metaanalyse, plant–insect interaction, Droughts, Meta-analysis, Climate change, Pollen, Blume, Pollination, Bestäubung

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    74
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
74
Top 1%
Top 10%
Top 1%
Green
hybrid