Journal of Ecology · 2023 · 19 citations · 61 references
Life SciencesPlant BiologyPlant SciencesCommunity EcologyPlant EcologyPlant Reproductive BiologyPlant Functional EcologyReproductive EcologyReproductive PhenologyReproductive SeasonalityAlpine EcosystemsClimate Change Effects On Reproductive PhenologyClimate-vegetation InteractionsFunctional Species GroupsPhenological TraitsPhenologyPhenology PatternsPlant Functional Groups
Abstract Flowering and fruiting phenology of plants is sensitive to environmental cues, and changes in reproductive phenology of individual plant species under climate change have been widely reported. However, how species‐level phenological responses scale up to affect community‐level reproductive phenology patterns (synchrony and reproductive duration) are still unclear. An experiment on the effects of nitrogen (N) addition and precipitation changes on reproductive phenological traits of 52 species was conducted in an alpine meadow on the eastern Tibetan Plateau to determine the influence of the phenological response in different functional groups on community‐level reproductive phenology. N addition significantly delayed the onset date of reproductive phenology of sedges (early‐flowering species) and advanced the end date of reproduction of forbs (late‐flowering species). Meanwhile, N addition reduced the number of individuals involved in reproduction of sedges and forbs, but it increased that of grasses (late‐flowering species). Furthermore, N addition increased reproductive synchrony, delayed the onset and shortened the duration of reproductive phenology at the community level. However, precipitation changes and their interaction with N addition had no significant effect on reproductive phenology of the alpine plant community. Synthesis . These results suggested that differences in the direction and magnitude of response of different species to N enrichment lead to compression of reproductive duration at the community level, increasing the degree of overlap between reproductive events, which could change future species diversity, trophic interactions and productivity accumulation in alpine meadows on the Tibetan Plateau. Overall, knowledge of phenological responses from plant functional groups to the community level contributes to robust prediction and mechanistic understanding of community structure and function in response to future climate change.
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R: A Language and Environment for Statistical Computing
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Elizabeth T. Borer, Eric W. Seabloom, Daniel S. Gruner et al. · Nature · 2014 · 957 citations · Full text