Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks

Wu, Paul Pao-Yen, McMahon, Kathryn, Rasheed, Michael A., Kendrick, Gary A., York, Paul H., Chartrand, Kathryn, Caley, M. Julian, and Mengersen, Kerrie (2018) Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks. Journal of Applied Ecology, 55 (3). pp. 1339-1350.

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Abstract

Coastal development is contributing to ongoing declines of ecosystems globally. Consequently, understanding the risks posed to these systems, and how they respond to successive disturbances, is paramount for their improved management. We study the cumulative impacts of maintenance dredging on seagrass ecosystems as an example of coastal development impacting marine ecosystems. Maintenance dredging causes disturbances lasting weeks to months, often repeated at yearly intervals.

We present a risk-based modelling framework for time varying complex systems centred around a Dynamic Bayesian Network (DBN). Our approach estimates the impact of a hazard on a system’s response in terms of resistance, recovery and persistence, commonly used to characterise the resilience of a system. We consider whole-of-system interactions including: light reduction due to dredging (the hazard), the duration, frequency, and start time of dredging, and ecosystem characteristics such as the life history traits expressed by genera and local environmental conditions.

The impact on resilience of dredging disturbances is evaluated using a validated seagrass ecosystem DBN for meadows of the genera Amphibolis (Jurien Bay, WA, Australia), Halophila (Hay Point, Queensland, Australia) and Zostera (Gladstone, Queensland, Australia). These three genera encompass the range of seagrass life histories globally. Although impacts varied by combinations of dredging parameters and the seagrass meadows being studied, in general, 3 months duration 33 or more, or repeat dredging every 3 years or more, were key thresholds beyond which resilience can be compromised. Additionally, managing light reduction to less than 50% can significantly decrease one or more of loss, recovery time and risk of local extinction, especially in the presence of cumulative stressors.

Synthesis and application: Our risk-based approach enables managers to develop thresholds for management by predicting the impact of different configurations of anthropogenic disturbances being managed. Many real-world maintenance dredging requirements fall within these parameters, and our results show that such dredging can be successfully managed to maintain healthy seagrass meadows in the absence of other disturbances. Here, we evaluated opportunities for risk mitigation using time windows; periods during which the impact of dredging stress did not impair resilience, especially for Halophila and Zostera.

Item ID: 51048
Item Type: Article (Refereed Research - C1)
Keywords: complex systems, cumulative impacts, disturbance, dredging, ecosystem management, resilience modelling, risk modelling, seagrass
ISSN: 1365-2664
Funders: Western Australian Marine Science Institute (WAMSI), Edith Cowan University (ECU)
Date Deposited: 26 Nov 2017 22:53
FoR Codes: 01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010202 Biological Mathematics @ 30%
05 ENVIRONMENTAL SCIENCES > 0501 Ecological Applications > 050102 Ecosystem Function @ 40%
05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 30%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960503 Ecosystem Assessment and Management of Coastal and Estuarine Environments @ 40%
96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 40%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 20%
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