Details

Autor(en) / Beteiligte

• Zawada, Kyle J. A.
• Madin, Joshua S.
• Baird, Andrew H.
• Bridge, Tom C. L.
• Dornelas, Maria
• Williams, Gareth

Titel

Morphological traits can track coral reef responses to the Anthropocene

Ist Teil von

• Functional ecology, 2019-06, Vol.33 (6), p.962-975

Ort / Verlag

London: Wiley Subscription Services, Inc

Erscheinungsjahr

2019

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• Susceptibility to human‐driven environmental changes is mediated by species traits. Therefore, identifying traits that predict organism performance, ecosystem function and response to changes in environmental conditions can help forecast how ecosystems are responding to the Anthropocene. Morphology dictates how organisms interact with their environment and other organisms, partially determining the environmental and biological contexts in which they are successful. Morphology is important for autogenic ecosystem engineering organisms, such as reef‐building corals, because it determines the shape of the structures they create and by extension the communities they support. Here, we present six morphological traits that capture variation in volume compactness, surface complexity and top‐heaviness. With support from the literature, we propose causal links between morphology and a performance–function–response framework. To illustrate these concepts, we combine 3D scanning and coral survey data to predict morphological traits from in situ colonies. We present a case study that examines how assemblage‐scale morphological traits have responded to two cyclones and the 2016 mass bleaching event—two phenomena predicted to increase in severity in the Anthropocene—and discuss how these changes may impact ecosystem function. The morphological traits outlined here offer a generalised and hypothesis‐driven approach to tracking how reefs respond to the Anthropocene. The ability to predict these traits from field data and the increasing use of photogrammetry makes them readily applicable across broad spatiotemporal scales. A plain language summary is available for this article. Plain Language Summary