An evidence-based approach for setting desired state in a complex Great Barrier Reef seagrass ecosystem: a case study from Cleveland Bay

Collier, C.J., Carter, A.B., Rasheed, M., McKenzie, L., Udy, J., Coles, R., Brodie, J., Waycott, M., O’Brien, K.R., Saunders, M., Adams, M., Martin, K., Honchin, C., Petus, C., and Lawrence, E. (2020) An evidence-based approach for setting desired state in a complex Great Barrier Reef seagrass ecosystem: a case study from Cleveland Bay. Environmental and Sustainability Indicators, 7. 100042.

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Abstract

Implementing management actions to achieve environmental outcomes requires defining and quantifying ecological targets, but this is a complex challenge, and there are few examples of how to quantitatively set them in complex dynamic marine ecosystems. Here we develop a methodology to devise 'desired state' for tropical seagrasses in Cleveland Bay, northern Australia, in the Great Barrier Reef World Heritage Area. Analysis of diverse species assemblages was used to define seagrass communities as indicators of the region's ecological value. Multivariate regression trees assigned 8000 observations of species presence/absence and habitat characteristics from 2007 to 2017 into seven community types. Generalized Linear Models were used to assess annual variation in above-ground biomass of each seagrass community. Reference subsets of the data expressing high biomass and spatial extent were identified, and desired state was defined as the mean and 95% confidence intervals. This approach rests on the assumption that seagrass resilience and its ecosystem services are met when the diverse seagrass communities reach desired state. This method required a data set that spanned a range in seagrass conditions, but which may have been compromised by a history of pressures. Our method for defining desired state provides evidence-based targets that can be used within an adaptive management framework that prioritises and implements management actions.

Item ID: 63909
Item Type: Article (Research - C1)
ISSN: 2665-9727
Copyright Information: © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Funders: National Environmental Science Programme (NESP)
Projects and Grants: NESP Tropical Water Quality Hub
Date Deposited: 11 Aug 2020 22:57
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0501 Ecological Applications > 050102 Ecosystem Function @ 20%
05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 30%
05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050206 Environmental Monitoring @ 50%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 60%
96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960609 Sustainability Indicators @ 30%
96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 10%
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