Effects of dredging-related pressures on critical ecological processes for other organisms
Dredging Science Program: Theme 9
Location: Pilbara and Kimberley
Project Leader: Gary Kendrick, UWA
Telephone: 6488 3998
This study will review environmental windows for organisms other than corals and fish such as sessile invertebrates, macroalgae and seagrasses. Environmental windows are periods of critical importance to the life history of a marine species, like reproduction and recruitment.
The key objectives are: to review the scientific literature on the timing and spatial extent of critical ecological processes relevant to tropical WA for marine primary producers and invertebrates (i.e. organisms other than coral and finfish) and the state of knowledge regarding potential effects of dredging on these key ecological processes. The review will also have a particular focus on ecological processes in marine primary producers and invertebrates that occur during discrete, predictable periods, and on organisms that are potentially invasive species. Also we will identify potentially critical periods (ecological windows) and locations when mitigating scheduling and other management processes could be implemented to reduce the impact of dredging on non- coral and non-finfish biota and the potential for invasive species to be become established. As well as this reviewing, the management need is: to guide and target management to minimize disruption to both the critical ecological windows and dredging programs.
Fraser, M.W., Short, J., Kendrick, G., McLean, D., Keesing, J., Byrne M., Caley, M.J., Clarke, D., Davis, A.R., Erftemeijer, P.L.A., Field, S., Gustin-Craig, S., Huisman,, J., Keough, M., Lavery, P.S., Masini, R., McMahon, K., Mengersen, K., Rasheed, M., Statton , J., Stoddart, J., Wu, P. 2017. Effects of dredging on critical ecological processes for marine invertebrates, seagrasses and macroalgae, and the potential for management using environmental windows using Western Australia as a case study. Ecological Indicators 78:229-242. http://dx.doi.org/10.1016/j.ecolind.2017.03.026
For a copy of the reprint contact the author: firstname.lastname@example.org Click here for a copy of the post print (final draft post-refereeing)
Wu, P. P-Y., Mengersen, K., McMahon, K., Kendrick, G.A., Chartrand, K., York, P.H., Rasheed, M. A., Caley, M.J. 2017. Timing anthropogenic stressors to mitigate their impact on marine ecosystem resilience. Nature Communications 8:1263. DOI: 10.1038/s41467-017001306-9.
Wu, P, P-Y, Caley, M.J., Kendrick, G. A., McMahon, K, Mengersen, K. 2018. Dynamic Bayesian Network Inferencing for Non homogeneous Complex Systems. Journal of the Royal Statistical Society C: Applied Statistics 67(2): 417-434. DOI 10.1111/rssc.12228
Wu, P. P-Y., McMahon, K., Rasheed, M. A., Kendrick, G.A., York, P.H., Chartrand, K., Caley, M.J., Mengersen, K., 2018. Managing Seagrass Resilience Under Cumulative Dredging Affecting Light: Predicting Risk Using Dynamic Bayesian Networks. Journal of Applied Ecology 55:1339–1350, DOI: 10.1111/1365-2664.13037
REFEREED CONFERENCE PROCEEDINGS
Wu, P. P.-Y. , Mengersen, K., McMahon, K. , Kendrick, G. A. , Caley, M. J. 2015. Predicting the temporal response of seagrass meadows to dredging using Dynamic Bayesian Networks. In Weber, T., McPhee, M.J., & Anderssen, R.S. (Eds.) MODSIM2015 21st International Congress on Modelling and Simulation: Proceedings, Modelling and Simulation Society of Australia and New Zealand, Gold Coast, Qld.