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

doi: 10.1111/gcb.13197
pmid: 26679689
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.
- University of Sydney Australia
- Australian Research Council Australia
- James Cook University Australia
- Australian Research Council Australia
- Australian Institute of Marine Science Australia
570, Aquatic Organisms, Hot Temperature, Coral Reefs, Climate Change, Biodiversity, Western Australia, Models, Theoretical, 333, Species Specificity, Seasons
570, Aquatic Organisms, Hot Temperature, Coral Reefs, Climate Change, Biodiversity, Western Australia, Models, Theoretical, 333, Species Specificity, Seasons
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%
