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Ecological network analyses and their use for establishing reference domain in functional assessment of an estuary

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  • Christian, Robert R.
  • Brinson, Mark M.
  • Dame, James K.
  • Johnson, Galen
  • Peterson, Charles H.
  • Baird, Daniel

Abstract

We developed a framework to use ecological network analysis for functional assessment of large aquatic ecosystems in the context of ecosystem-based management. We established a reference domain for the Neuse River Estuary, North Carolina, USA, from changes over time. Four reference network models of the trophic structure of the estuary during early and late summers of 1997 and 1998 were constructed and analyzed. The estuary has experienced various symptoms of eutrophication during the past 20 years, including summer-time hypoxia and fish kills. The networks were used to quantify indices of nominal trophic dynamics and their variation. The ratio of biomass of nekton to that of macrobenthos, derived from network construction, was used to index severity of eutrophication and to promote accessibility of ecological network analysis to environmental management. The ratio increased from early to late summer, and network metrics demonstrated a variety of responses in association with that change. Some variables from network analysis, especially related to consumers, reflected some but not all of this change. Others reflected the most severe increase in the ratio in late summer 1997 when hypoxia was most extensive. We evaluated uncertainty and the modulating effects of hierarchy by comparing variation of input biomasses with integrative response variables. Relative variation in input variables was generally greater than that of the integrative response variables as predicted by hierarchy theory. Ecological network analysis has previously served as support for ecosystem-based management of large aquatic systems with some success. However, its use can be enhanced by making it more accessible to environmental managers and policy makers. Ways to do this include promoting simple metrics from network construction and explicitly associating network analysis to concepts familiar to the management community, such as functional assessment and reference.

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  • Christian, Robert R. & Brinson, Mark M. & Dame, James K. & Johnson, Galen & Peterson, Charles H. & Baird, Daniel, 2009. "Ecological network analyses and their use for establishing reference domain in functional assessment of an estuary," Ecological Modelling, Elsevier, vol. 220(22), pages 3113-3122.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:22:p:3113-3122
    DOI: 10.1016/j.ecolmodel.2009.07.012
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    1. Fabiano, M. & Vassallo, P. & Vezzulli, L. & Salvo, V.S. & Marques, J.C., 2004. "Temporal and spatial change of exergy and ascendency in different benthic marine ecosystems," Energy, Elsevier, vol. 29(11), pages 1697-1712.
    2. Dame, James K. & Christian, Robert R., 2008. "Evaluation of ecological network analysis: Validation of output," Ecological Modelling, Elsevier, vol. 210(3), pages 327-338.
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    Cited by:

    1. Tianlin Zhai & Jing Wang & Ying Fang & Jingjing Liu & Longyang Huang & Kun Chen & Chenchen Zhao, 2021. "Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    2. Baird, Dan & Fath, Brian D. & Ulanowicz, Robert E. & Asmus, Harald & Asmus, Ragnhild, 2009. "On the consequences of aggregation and balancing of networks on system properties derived from ecological network analysis," Ecological Modelling, Elsevier, vol. 220(23), pages 3465-3471.
    3. Schaubroeck, Thomas & Staelens, Jeroen & Verheyen, Kris & Muys, Bart & Dewulf, Jo, 2012. "Improved ecological network analysis for environmental sustainability assessment; a case study on a forest ecosystem," Ecological Modelling, Elsevier, vol. 247(C), pages 144-156.
    4. Dai, Jing & Fath, Brian & Chen, Bin, 2012. "Constructing a network of the social-economic consumption system of China using extended exergy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4796-4808.
    5. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2013. "Ecological risk assessment on the system scale: A review of state-of-the-art models and future perspectives," Ecological Modelling, Elsevier, vol. 250(C), pages 25-33.
    6. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    7. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    8. Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
    9. Mao, Xufeng & Yang, Zhifeng, 2011. "Functional assessment of interconnected aquatic ecosystems in the Baiyangdian Basin—An ecological-network-analysis based approach," Ecological Modelling, Elsevier, vol. 222(23), pages 3811-3820.
    10. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2015. "Ecological network analysis of an industrial symbiosis system: A case study of the Shandong Lubei eco-industrial park," Ecological Modelling, Elsevier, vol. 306(C), pages 174-184.
    11. Johnson, Galen A. & Niquil, Nathalie & Asmus, Harald & Bacher, Cédric & Asmus, Ragnhild & Baird, Daniel, 2009. "The effects of aggregation on the performance of the inverse method and indicators of network analysis," Ecological Modelling, Elsevier, vol. 220(23), pages 3448-3464.
    12. Deehr, Rebecca A. & Luczkovich, Joseph J. & Hart, Kevin J. & Clough, Lisa M. & Johnson, Beverly J. & Johnson, Jeffrey C., 2014. "Using stable isotope analysis to validate effective trophic levels from Ecopath models of areas closed and open to shrimp trawling in Core Sound, NC, USA," Ecological Modelling, Elsevier, vol. 282(C), pages 1-17.
    13. Solovjova, N.V., 2019. "Ecological risk modelling in developing resources of ecosystems characterized by varying vulnerability levels," Ecological Modelling, Elsevier, vol. 406(C), pages 60-72.
    14. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    15. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2015. "Assessing the cumulative environmental impact of hydropower construction on river systems based on energy network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 78-92.
    16. Tang, P.Z. & Liu, J.Z. & Lu, H.W. & Wang, Z. & He, L., 2017. "Information-based Network Environ Analysis for Ecological Risk Assessment of heavy metals in soils," Ecological Modelling, Elsevier, vol. 344(C), pages 17-28.
    17. Pacella, Stephen R. & Lebreton, Benoit & Richard, Pierre & Phillips, Donald & DeWitt, Theodore H. & Niquil, Nathalie, 2013. "Incorporation of diet information derived from Bayesian stable isotope mixing models into mass-balanced marine ecosystem models: A case study from the Marennes-Oléron Estuary, France," Ecological Modelling, Elsevier, vol. 267(C), pages 127-137.
    18. Tuominen, Lindsey K. & Whipple, Stuart J. & Patten, Bernard C. & Karatas, Zekeriya Y. & Kazanci, Caner, 2014. "Contribution of throughflows to the ecological interpretation of integral network utility," Ecological Modelling, Elsevier, vol. 293(C), pages 187-201.

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