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Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
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Updated: Jun 21, 2025

A Method for Quantifying Foliage-Dwelling Arthropods
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Detecting Nonadditive Biotic Interactions and Assessing Their Biological Relevance among Temperate Rainforest Trees.

Hao Ran Lai, Peter J Bellingham, James K McCarthy

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    |July 15, 2024
    PubMed
    Summary

    Nonadditive density-dependent effects on species performance are influenced by climate and neighbor interactions. Considering these complex interactions is crucial for accurate predictions of species responses to global change.

    Keywords:
    Bayesian shrinkageaverage predictive comparisoncompetitionfacilitationhigher-order interactionindirect effect

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    Area of Science:

    • Ecology
    • Forestry
    • Climate Change Research

    Background:

    • Nonadditive density-dependent effects influence species performance but can vary across environments.
    • Ignoring these nonadditive effects can lead to inaccurate predictions of species' responses to environmental and compositional changes.
    • Few studies simultaneously assess biotic interactions along both environmental and compositional gradients.

    Purpose of the Study:

    • To analyze the diameter growth of six focal tree species in New Zealand.
    • To investigate the influence of neighbor densities and climate on tree growth.
    • To assess the role of statistical interactions between neighbors and climate, and between neighbors themselves.

    Main Methods:

    • Utilized a nationwide forest inventory spanning broad temperature and moisture gradients in New Zealand.
    • Analyzed tree diameter growth as a function of neighbor densities and climate variables.
    • Employed statistical models to assess neighbor × climate and neighbor × neighbor interactions.

    Main Results:

    • The most complex model, including all interaction terms, demonstrated the highest predictive accuracy.
    • Biotic interactions generally had stronger effects on diameter growth than climate variables.
    • Nonadditive effects were amplified by local climatic conditions and the density of intermediary species.

    Conclusions:

    • Nonadditive biotic interactions significantly impact species performance, especially under varying climatic conditions.
    • The biological relevance of nonadditive interactions depends on whether species typically interact under average or extreme conditions.
    • Accurate assessment of species performance under global change requires consideration of both statistical and biological aspects of nonadditive biotic interactions.