Ecological network analysis: network construction |
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| Institution: | 1. Biology Department, Towson University, Towson, MD 21252, USA;2. School of Biological and Conservation Sciences, University of KwaZulu-Natal, Howard College Campus, George Campbell Building, 4041 Durban, South Africa;3. Department of Aquatic Ecology and Water Quality Management (AEW), Wageningen University and Research Centre, Ritzema Bosweg 32-A, 6703 AZ Wageningen, The Netherlands;4. Chesapeake Biological Laboratory, University of Maryland, Solomons, MD 20688, USA;5. Department of Geography, University of Illinois, Urbana, IL 61801, USA;1. Department of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, NC 28403, United States;2. Department of Sociology, Duke University, Durham, NC 27708, United States;3. Duke Network Analysis Center, Social Science Research Institute, Duke University, Durham, NC 27708, United States;1. Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China;2. Institute for Energy, Environment and Sustainability Research, UR-NCEPU, North China Electric Power University, Beijing, 102206, China;3. Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada;1. Ecological Modelling Laboratory, Department of Zoology, Visva-Bharati University, Santiniketan, India;2. School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa;3. Department of Biological Sciences, Towson University, Towson, MD, USA;4. Advanced Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria;1. Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Wadden Sea Station Sylt Hafenstr. 43, D-25992, List/ Sylt, Germany;2. School of Environmental Science, University of Liverpool, L69 3BX, Liverpool, UK;3. Senckenberg am Meer, Marine Research Department, Südstrand 40, 26382, Wilhelmshaven, Germany;4. Landesbetrieb für Küstenschutz, Nationalparkverwaltung und Meeresschutz Schleswig-Holstein, Nationalparkverwaltung, Schlossgarten 1, 25832, Tönning, Germany;1. Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China;2. Center for Energy, Environment and Ecology Research, UR-BNU, Beijing Normal University, Beijing, 100875, China;3. Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada;4. Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada |
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| Abstract: | Ecological network analysis (ENA) is a systems-oriented methodology to analyze within system interactions used to identify holistic properties that are otherwise not evident from the direct observations. Like any analysis technique, the accuracy of the results is as good as the data available, but the additional challenge is that the data need to characterize an entire ecosystem's flows and storages. Thus, data requirements are substantial. As a result, there have, in fact, not been a significant number of network models constructed and development of the network analysis methodology has progressed largely within the purview of a few established models. In this paper, we outline the steps for one approach to construct network models. Lastly, we also provide a brief overview of the algorithmic methods used to construct food web typologies when empirical data are not available. It is our aim that such an effort aids other researchers to consider the construction of such models as well as encourages further refinement of this procedure. |
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