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Conservation Biology
Article
License: publisher-specific, author manuscript
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Conservation Biology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
HKU Scholars Hub
Article . 2017
Data sources: HKU Scholars Hub
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Testing for thresholds of ecosystem collapse in seagrass meadows

Authors: Sean D. Connell; Milena Fernandes; Owen W. Burnell; Zoë A. Doubleday; Kingsley J. Griffin; Andrew D. Irving; Jonathan Y.S. Leung; +3 Authors

Testing for thresholds of ecosystem collapse in seagrass meadows

Abstract

Abstract Although the public desire for healthy environments is clear‐cut, the science and management of ecosystem health has not been as simple. Ecological systems can be dynamic and can shift abruptly from one ecosystem state to another. Such unpredictable shifts result when ecological thresholds are crossed; that is, small cumulative increases in an environmental stressor drive a much greater change than could be predicted from linear effects, suggesting an unforeseen tipping point is crossed. In coastal waters, broad‐scale seagrass loss often occurs as a sudden event associated with human‐driven nutrient enrichment (eutrophication). We tested whether the response of seagrass ecosystems to coastal nutrient enrichment is subject to a threshold effect. We exposed seagrass plots to different levels of nutrient enrichment (dissolved inorganic nitrogen) for 10 months and measured net production. Seagrass response exhibited a threshold pattern when nutrient enrichment exceeded moderate levels: there was an abrupt and large shift from positive to negative net leaf production (from approximately 0.04 leaf production to 0.02 leaf loss per day). Epiphyte load also increased as nutrient enrichment increased, which may have driven the shift in leaf production. Inadvertently crossing such thresholds, as can occur through ineffective management of land‐derived inputs such as wastewater and stormwater runoff along urbanized coasts, may account for the widely observed sudden loss of seagrass meadows. Identification of tipping points may improve not only adaptive‐management monitoring that seeks to avoid threshold effects, but also restoration approaches in systems that have crossed them.

Countries
Australia, China (People's Republic of), Australia
Keywords

Conservation of Natural Resources, Tipping point, habitat loss, Oceans and Seas, Habitat loss, 050205 Environmental Management, Nutrients, Eutrophication, tipping point, 551, Poaceae, 333, phase shift, nutrients, 050206 Environmental Monitoring, Phase shift, Ecosystem, 050102 Ecosystem Function

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    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
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!
49
Top 10%
Top 10%
Top 10%
hybrid