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Identifying restoration hotspots that deliver multiple ecological benefits

B. Gilby,A. Olds,Cassandra K. Duncan,Nicholas L. Ortodossi,C. J. Henderson,T. Schlacher

Published 2019 in Restoration Ecology

ABSTRACT

Ecological restoration principally seeks to restore lost or degraded ecosystems. Restoration can, however, also deliver a suite of wider ecological, social, and economic benefits. To optimize performance it is, therefore, important to plan the design and placement of restoration initiatives with a view to maximizing joint effects on ecosystems, animal populations, ecological functions, and ecosystem services. We measured the effects of multiple (13) restored oyster reefs on a suite of restoration benefits (oyster settlement and growth, fish diversity and abundance, the ecological functions of scavenging and predation) in the Noosa River estuary, Australia, and used distribution models to identify potential restoration sites with the greatest overall benefits. Oysters recruited to reefs, and reefs enhanced the diversity and abundance of fishes and had higher rates of ecological functions than control sites. However, the growth of oyster reefs was most correlated with the proximity of restoration sites to urbanized shorelines and the estuary mouth, and the area of mangroves around the site. By contrast, fish diversity and abundance, and the rates of ecological functions, were typically negatively correlated with the proximity of reefs to both mangroves and seagrasses. This complex spatial mosaic resulted in distinct areas predicted to achieve all restoration benefits that were significantly smaller than the total area that could be restored. Applying a systematic and defensible method to identify potential restoration sites that maximize multiple benefits while lowering costs is a sensible social, economic, and ecological strategy.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Restoration Ecology

  • Publication date

    2019-11-05

  • Fields of study

    Geography, Environmental Science

  • Identifiers
    DOI 10.1111/rec.13046
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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