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Global Change Biology
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
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Quantifying the response of structural complexity and community composition to environmental change in marine communities

Authors: Mitch Bryson; Renata Ferrari; Will F. Figueira; Maria Byrne; Julie Hustache; Tom C. L. Bridge; Tom C. L. Bridge; +1 Authors

Quantifying the response of structural complexity and community composition to environmental change in marine communities

Abstract

AbstractHabitat structural complexity is a key factor shaping marine communities. However, accurate methods for quantifying structural complexity underwater are currently lacking. Loss of structural complexity is linked to ecosystem declines in biodiversity and resilience. We developed new methods using underwater stereo‐imagery spanning 4 years (2010–2013) to reconstruct 3D models of coral reef areas and quantified both structural complexity at two spatial resolutions (2.5 and 25 cm) and benthic community composition to characterize changes after an unprecedented thermal anomaly on the west coast of Australia in 2011. Structural complexity increased at both resolutions in quadrats (4 m2) that bleached, but not those that did not bleach. Changes in complexity were driven by species‐specific responses to warming, highlighting the importance of identifying small‐scale dynamics to disentangle ecological responses to disturbance. We demonstrate an effective, repeatable method for quantifying the relationship among community composition, structural complexity and ocean warming, improving predictions of the response of marine ecosystems to environmental change.

Country
Australia
Keywords

570, Aquatic Organisms, Hot Temperature, Coral Reefs, Climate Change, Biodiversity, Western Australia, Models, Theoretical, 333, Species Specificity, Seasons

  • BIP!
    Impact byBIP!
    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).
    88
    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
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    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!
88
Top 1%
Top 10%
Top 1%
Green
bronze