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Response to Comment on “Demographic dynamics of the smallest marine vertebrates fuel coral reef ecosystem functioning”

descriptionPublicationkeyboard_double_arrow_right Article , Journal 20 Dec 2019 United Kingdom, Australia Publisher:American Association for the Advancement of Science (AAAS)Journal:Science, volume 366 (issn: 0036-8075, eissn: 1095-9203,

Authors: Nina M. D. Schiettekatte; Simon J. Brandl; Simon J. Brandl; Carole C. Baldwin; Valeriano Parravicini; Isabelle M. Côté; Jordan M. Casey; +5 Authors

doi: 10.1126/science.aaz1301

pmid: 31857447

handle: 1959.11/50492

Response to Comment on “Demographic dynamics of the smallest marine vertebrates fuel coral reef ecosystem functioning”

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Abstract

Allgeier and Cline suggest that our model overestimates the contributions of cryptobenthic fishes to coral reef functioning. However, their 20-year model ignores the basic biological limits of population growth. If incorporated, cryptobenthic contributions to consumed fish biomass remain high (20 to 70%). Disturbance cycles and uncertainties surrounding the fate of large fishes on decadal scales further demonstrate the important role of cryptobenthic fishes.

Countries

United Kingdom, Australia

Related Organizations

National Museum of Natural History
United States
University of Mary
United States
James Cook University
Australia
University of Southampton
United Kingdom
University of New England
Australia

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Keywords

Community ecology (excl. invasive species ecology), 570, Coral Reefs, Population Dynamics, 590, Fishes, Marine and estuarine ecology (incl. marine ichthyology), Animals, Biomass, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem, Demography

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).	8
	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 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%