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Predicting the effects of nectar robbing on plant reproduction: implications of pollen limitation and plant mating system
Author(s) -
Burkle Laura A.,
Irwin Rebecca E.,
Newman Daniel A.
Publication year - 2007
Publication title -
american journal of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.218
H-Index - 151
eISSN - 1537-2197
pISSN - 0002-9122
DOI - 10.3732/ajb.94.12.1935
Subject(s) - biology , nectar , pollinator , pollen , pollination , zoophily , plant reproduction , pollen source , botany , ecology , perennial plant
The outcome of species interactions is often difficult to predict, depending on the organisms involved and the ecological context. Nectar robbers remove nectar from flowers, often without providing pollination service, and their effects on plant reproduction vary in strength and direction. In two case studies and a meta‐analysis, we tested the importance of pollen limitation and plant mating system in predicting the impacts of nectar robbing on female plant reproduction. We predicted that nectar robbing would have the strongest effects on species requiring pollinators to set seed and pollen limited for seed production. Our predictions were partially supported. In the first study, natural nectar robbing was associated with lower seed production in Delphinium nuttallianum , a self‐compatible but non‐autogamously selfing, pollen‐limited perennial, and experimental nectar robbing reduced seed set relative to unrobbed plants. The second study involved Linaria vulgaris , a self‐incompatible perennial that is generally not pollen limited. Natural levels of nectar robbing generally had little effect on estimates of female reproduction in L. vulgaris , while experimental nectar robbing reduced seed set per fruit but not percentage of fruit set. A meta‐analysis revealed that nectar robbing had strong negative effects on pollen‐limited and self‐incompatible plants, as predicted. Our results suggest that pollination biology and plant mating system must be considered to understand and predict the ecological outcome of both mutualistic and antagonistic plant–animal interactions.