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Advances in the aquatic sciences
RESEARCH ARTICLE

Wise use: using ecological models to understand and manage aquatic ecosystems

Rebecca E. Lester
+ Author Affiliations
- Author Affiliations

Deakin University, Centre for Regional and Rural Futures, Locked Bag 20000, Geelong, Vic. 3220, Australia.

Marine and Freshwater Research 71(1) 46-55 https://doi.org/10.1071/MF18402
Submitted: 18 October 2018  Accepted: 13 January 2019   Published: 29 March 2019

Abstract

Using ecological-response models to understand and improve management of aquatic ecosystems is increasingly common. However, there are many questions about reliability and utility that can make the use of ecological modelling fraught. One critical question is how ecological-response models translate to what happens in practice. Many models purport to improve management by simulating ecological response to changing conditions. This suggests that tangible benefits (e.g. increased biodiversity) should flow when recommendations for action are implemented. But testing these links is rare and there are implications if those links are tenuous. One problem leading to a lack of congruence between models and reality can be a lack of ecological data for the system being modelled. Incomplete understanding, erroneous assumptions about drivers or degree of variability, and uncritical use of expert opinion can all result in models that may be more likely to mislead than inform. Explicit validation of models, sensitivity testing and ongoing development of novel solutions to deal with incomplete data can all assist. So, wise and critical use of ecological models provides one mechanism to increase our ability to quantify adverse effects on, and project future trajectories of, aquatic ecosystems.


References

Amano, T. (2012). Unravelling the dynamics of organisms in a changing world using ecological modelling. Ecological Research 27, 495–507.
Unravelling the dynamics of organisms in a changing world using ecological modelling.Crossref | GoogleScholarGoogle Scholar |

Arthington, A. H., Bunn, S. E., Poff, N. L., and Naiman, R. J. (2006). The challenge of providing environmental flow rules to sustain river ecosystems. Ecological Applications 16, 1311–1318.
The challenge of providing environmental flow rules to sustain river ecosystems.Crossref | GoogleScholarGoogle Scholar | 16937799PubMed |

Ascough, J., Maier, H., Ravalico, J., and Strudley, M. (2008). Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecological Modelling 219, 383–399.
Future research challenges for incorporation of uncertainty in environmental and ecological decision-making.Crossref | GoogleScholarGoogle Scholar |

Barnosky, A. D., Matzke, N., Tomiya, S., Wogan, G. O. U., Swartz, B., Quental, T. B., Marshall, C., McGuire, J. L., Lindsey, E. L., Maguire, K. C., Mersey, B., and Ferrer, E. A. (2011). Has the Earth’s sixth mass extinction already arrived? Nature 471, 51.
Has the Earth’s sixth mass extinction already arrived?Crossref | GoogleScholarGoogle Scholar | 21368823PubMed |

Bestelmeyer, B. T., Tugel, A. J., Peacock, G. L., Robinett, D. G., Shaver, P. L., Brown, J. R., Herrick, J. E., Sanchez, H., and Havstad, K. M. (2009). State-and-transition models for heterogeneous landscapes: a strategy for development and application. Rangeland Ecology and Management 62, 1–15.
State-and-transition models for heterogeneous landscapes: a strategy for development and application.Crossref | GoogleScholarGoogle Scholar |

Carley, M., and Christie, I. (2017). ‘Managing Sustainable Development.’ (Routledge: London, UK.)

Copernicus, N. (1543). De revolutionibus orbium coelestium. Libri VI, .

Coreau, A., Pinay, G., Thompson, J. D., Cheptou, P.-O., and Mermet, L. (2009). The rise of research on futures in ecology: rebalancing scenarios and predictions. Ecology Letters 12, 1277–1286.
The rise of research on futures in ecology: rebalancing scenarios and predictions.Crossref | GoogleScholarGoogle Scholar | 19874385PubMed |

Dartnell, L. (2004). A toast-based proof of a malevolent God. Null Hypothesis: the Journal of Unlikely Science 2004, 2–5.

Davies, P., Harris, J., Hillman, T., and Walker, K. (2010). The sustainable rivers audit: assessing river ecosystem health in the Murray–Darling Basin, Australia. Marine and Freshwater Research 61, 764–777.
The sustainable rivers audit: assessing river ecosystem health in the Murray–Darling Basin, Australia.Crossref | GoogleScholarGoogle Scholar |

Evans, M. R. (2012). Modelling ecological systems in a changing world. Philosophical Transactions of the Royal Society of London – B. Biological Sciences 367, 181–190.
Modelling ecological systems in a changing world.Crossref | GoogleScholarGoogle Scholar | 22144381PubMed |

Fukami, T., and Wardle, D. A. (2005). Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients. Proceedings of the Royal Society of London – B. Biological Sciences 272, 2105–2115.
Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients.Crossref | GoogleScholarGoogle Scholar |

Fulton, E. A., Link, J. S., Kaplan, I. C., Savina‐Rolland, M., Johnson, P., Ainsworth, C., Horne, P., Gorton, R., Gamble, R. J., and Smith, A. D. (2011). Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish and Fisheries 12, 171–188.
Lessons in modelling and management of marine ecosystems: the Atlantis experience.Crossref | GoogleScholarGoogle Scholar |

Gelman, A., Meng, X.-L., and Stern, H. (1996). Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica 6, 733–760.

Greca, I. M., and Moreira, M. A. (2000). Mental models, conceptual models, and modelling. International Journal of Science Education 22, 1–11.
Mental models, conceptual models, and modelling.Crossref | GoogleScholarGoogle Scholar |

Hamm, E. A. (2011). Ptolemy’s Planetary Theory: an English translation of book one, part A of the planetary hypotheses with introduction and commentary. Ph.D. Thesis, University of Toronto, Toronto, ON, Canada.

Hesse, M. (1966). ‘Models and Analogies in Science.’ (University of Notre Dame Press: Notre Dame, IN, USA.)

Hussner, A., Stiers, I., Verhofstad, M., Bakker, E., Grutters, B., Haury, J., Van Valkenburg, J., Brundu, G., Newman, J., and Clayton, J. (2017). Management and control methods of invasive alien freshwater aquatic plants: a review. Aquatic Botany 136, 112–137.
Management and control methods of invasive alien freshwater aquatic plants: a review.Crossref | GoogleScholarGoogle Scholar |

Jones, G. J., Arthington, A. H., Gawne, B., Hillman, T. J., Kingsford, R., Thoms, M., Walker, K. F., and Young, W. J. (2003). Ecological assessment of environmental flow reference points for the River Murray system. Interim report prepared by the Scientific Reference Panel for MDBC Living Murray Initiative, CRC for Freshwater Ecology Technical Report. (Murray–Darling Basin Commission: Canberra, ACT, Australia.) Available at http://hdl.handle.net/1959.9/493003 [Verified 21 February 2019].

Kingsford, R. T., Biggs, H. C., and Pollard, S. R. (2011). Strategic adaptive management in freshwater protected areas and their rivers. Biological Conservation 144, 1194–1203.
Strategic adaptive management in freshwater protected areas and their rivers.Crossref | GoogleScholarGoogle Scholar |

Klein, C. J., Chan, A., Kircher, L., Cundiff, A. J., Gardener, N., Hrovat, Y., Scholz, A., Kendall, B. E., and Airame, S. (2008). Striking a balance between biodiversity conservation and socioeconomic viability in the design of marine protected areas. Conservation Biology 22, 691–700.
Striking a balance between biodiversity conservation and socioeconomic viability in the design of marine protected areas.Crossref | GoogleScholarGoogle Scholar | 18325043PubMed |

Lester, R. E., and Fairweather, P. G. (2007). ‘Proceedings of CLLAMMecology Research Cluster CLLAMM Futures Workshop #1’, 5–6 December 2006, Adelaide, SA, Australia. (CSIRO Water for a Healthy Country National Research Flagship: Adelaide, SA, Australia.) Available at http://www.clw.csiro.au/publications/waterforahealthycountry/cllamm/CLLAMM-FuturesWorkshop1.pdf [Verified 25 March 2019].

Lester, R. E., and Fairweather, P. G. (2011). Ecosystem states: creating a data-derived, ecosystem-scale ecological response model that is explicit in space and time. Ecological Modelling 222, 2690–2703.
Ecosystem states: creating a data-derived, ecosystem-scale ecological response model that is explicit in space and time.Crossref | GoogleScholarGoogle Scholar |

Lester, R. E., and Macqueen, A. (2017). Forecasting trajectories of change for Ruppia tuberosa in the Coorong. Centre for Regional and Rural Futures, Deakin University: Geelong, Vic., Australia.

Lester, R. E., Langley, R. A., Hamilton, B., and Fairweather, P. G. (2011). ‘Ecosystem States of the Lower Lakes: an Ecosystem Response Model.’ (Flinders University: Adelaide, SA, Australia.)

Lester, R. E., Quin, R. A., Webster, I. T., and Fairweather, P. G. (2012). An investigation into interactions between the proposed Upper South East Drainage (USED) scheme and barrage flows. Flinders University, Adelaide, SA, Australia.

Lester, R. E., Close, P. G., Barton, J. L., Pope, A. J., and Brown, S. C. (2014). Predicting the likely response of data‐poor ecosystems to climate change using space‐for‐time substitution across domains. Global Change Biology 20, 3471–3481.
Predicting the likely response of data‐poor ecosystems to climate change using space‐for‐time substitution across domains.Crossref | GoogleScholarGoogle Scholar | 24832685PubMed |

Lester, R. E., Pollino, C. A., and Cummings, C. R. (2019). Testing an environmental flow-based decision support tool: evaluating the fish model in the Murray Flow Assessment Tool. Environmental Modelling & Software 111, 72–93.
Testing an environmental flow-based decision support tool: evaluating the fish model in the Murray Flow Assessment Tool.Crossref | GoogleScholarGoogle Scholar |

Martin, T. G., Burgman, M. A., Fidler, F., Kuhnert, P. M., Low‐Choy, S., McBride, M., and Mengersen, K. (2012). Eliciting expert knowledge in conservation science. Conservation Biology 26, 29–38.
Eliciting expert knowledge in conservation science.Crossref | GoogleScholarGoogle Scholar | 22280323PubMed |

Murray–Darling Basin Authority (2010). Guide to the proposed Basin Plan. Volume 2: technical background. (MDBA: Canberra, ACT, Australia.) Available at https://www.mdba.gov.au/sites/default/files/archived/guide_pbp/Guide-to-proposed-BP-vol2-0-12.pdf [Verified 25 March 2019].

Norton, J., and Andrews, F. (2006). Sensitivity and structure assessment of a software tool to gauge the ecological impact of flow scenarios. Journal of Hydrology 325, 325–339.
Sensitivity and structure assessment of a software tool to gauge the ecological impact of flow scenarios.Crossref | GoogleScholarGoogle Scholar |

Oakley, J. E., and O’Hagan, A. (2004). Probabilistic sensitivity analysis of complex models: a Bayesian approach. Journal of the Royal Statistical Society – B. Statistical Methodology 66, 751–769.
Probabilistic sensitivity analysis of complex models: a Bayesian approach.Crossref | GoogleScholarGoogle Scholar |

Pickett, S. T. (1989). Space-for-time substitution as an alternative to long-term studies. In ‘Long-term Studies in Ecology’. (Ed. G. E. Likens.) pp. 110–135. (Springer-Verlag: New York, NY, USA.)

Pimm, S. L., Alibhai, S., Bergl, R., Dehgan, A., Giri, C., Jewell, Z., Joppa, L., Kays, R., and Loarie, S. (2015). Emerging technologies to conserve biodiversity. Trends in Ecology & Evolution 30, 685–696.
Emerging technologies to conserve biodiversity.Crossref | GoogleScholarGoogle Scholar |

Popper, K. (2005). ‘The Logic of Scientific Discovery.’ (Routledge: New York, NY, USA.)

Post, D., Chiew, F., Teng, J., Wang, B., and Marvanek, S. (2012). Projected changes in climate and runoff for south-eastern Australia under 1°C and 2°C of global warming. A SEACI Phase 2 Special Report. (South Eastern Australian Climate Initiative, CSIRO: Canberra, ACT, Australia.) Available at http://www.seaci.org/publications/documents/SEACI-2Reports/SEACI2_Projections_Report.pdf [Verified 21 February 2019].

Puckridge, J., Sheldon, F., Walker, K., and Boulton, A. (1998). Flow variability and the ecology of large rivers. Marine and Freshwater Research 49, 55–72.
Flow variability and the ecology of large rivers.Crossref | GoogleScholarGoogle Scholar |

Robson, B. J., Lester, R. E., Baldwin, D. S., Bond, N. R., Drouart, R., Rolls, R. J., Ryder, D. S., and Thompson, R. M. (2017). Modelling food-web mediated effects of hydrological variability and environmental flows. Water Research 124, 108–128.
Modelling food-web mediated effects of hydrological variability and environmental flows.Crossref | GoogleScholarGoogle Scholar | 28750285PubMed |

Saltelli, A., Tarantola, S., Campolongo, F., and Ratto, M. (2004). ‘Sensitivity Analysis in Practice: a Guide to Assessing Scientific Models.’ (Wiley: Chichester, UK.)

Schmolke, A., Thorbek, P., DeAngelis, D. L., and Grimm, V. (2010). Ecological models supporting environmental decision making: a strategy for the future. Trends in Ecology & Evolution 25, 479–486.
Ecological models supporting environmental decision making: a strategy for the future.Crossref | GoogleScholarGoogle Scholar |

Soetaert, K., and Herman, P. M. (2008). ‘A Practical Guide to Ecological Modelling: Using R as a Simulation Platform.’ (Springer-Verlag: New York, NY, USA.)

Sutherland, W. J. (2006). Predicting the ecological consequences of environmental change: a review of the methods. Journal of Applied Ecology 43, 599–616.
Predicting the ecological consequences of environmental change: a review of the methods.Crossref | GoogleScholarGoogle Scholar |

Sutherland, W. J., and Freckleton, R. P. (2012). Making predictive ecology more relevant to policy makers and practitioners. Philosophical Transactions of the Royal Society of London – B. Biological Sciences 367, 322–330.
Making predictive ecology more relevant to policy makers and practitioners.Crossref | GoogleScholarGoogle Scholar | 22144394PubMed |

Webster, I. T. (2010). The hydrodynamics and salinity regime of a coastal lagoon – the Coorong, Australia: seasonal to multi-decadal timescales. Estuarine, Coastal and Shelf Science 90, 264–274.
The hydrodynamics and salinity regime of a coastal lagoon – the Coorong, Australia: seasonal to multi-decadal timescales.Crossref | GoogleScholarGoogle Scholar |

Yates, K. L., Bouchet, P. J., Caley, M. J., Mengersen, K., Randin, C. F., Parnell, S., Fielding, A. H., Bamford, A. J., Ban, S., Barbosa, A. M., Dormann, C. F., Elith, J., Embling, C. B., Ervin, G. N., Fisher, R., Gould, S., Graf, R. F., Gregr, E. J., Halpin, P. N., Heikkinen, R. K., Heinanen, S., Jones, A. R., Krishnakumar, P. K., Lauria, V., Lozano-Montes, H., Mannocci, L., Mellin, C., Mesgaran, M. B., Moreno-Amat, E., Mormede, S., Novaczek, E., Oppel, S., Ortuno Crespo, G., Peterson, A. T., Rapacciuolo, G., Roberts, J. J., Ross, R. E., Scales, K. L., Schoeman, D., Snelgrove, P., Sundblad, G., Thuiller, W., Torres, L. G., Verbruggen, H., Wang, L., Wenger, S., Whittingham, M. J., Zharikov, Y., Zurell, D., and Sequeira, A. M. M. (2018). Outstanding challenges in the transferability of ecological models. Trends in Ecology & Evolution 33, 790–802.
Outstanding challenges in the transferability of ecological models.Crossref | GoogleScholarGoogle Scholar |

Ye, Q., Livore, J., Aldridge, K., Bradford, T., Busch, B., Earl, J., Hipsey, M., Hoffman, E., Joehnk, K., Lorenz, Z., Nicol, J., Oliver, R. S. L., Tan, L., Turner, R., and Wegner, I. (2014). Monitoring the ecological responses to Commonwealth environmental water delivered to the Lower Murray Mouth in 2012–13. Report 2. (South Australian Research and Development Institute, Aquatic Sciences: Adelaide, SA, Australia.) Available at https://www.environment.gov.au/system/files/resources/132f9bf5-afc6-426a-b693-86643f613687/files/ecological-response-monitoring-lower-murray-2012-13-report-2.pdf [Verified 25 March 2019].

Young, W., Lam, D. C.-L., Ressel, V., and Wong, I. (2000). Development of an environmental flows decision support system. Environmental Modelling & Software 15, 257–265.
Development of an environmental flows decision support system.Crossref | GoogleScholarGoogle Scholar |