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Relationships between renewable emergy storage or flow and biodiversity: A modeling investigation

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  • Campbell, Elliott T.
  • Tilley, David R.

Abstract

In this study we investigate the relationships of emergy storage or flow to biodiversity using three different models—a dynamic simulation model, a static scenario model, and a modified ecological network model. These models attempt to explain how disturbance regime, latitude, and trophic complexity are related to observed patterns of renewable emergy flows and storages and biodiversity. A prior hypothesis, which this work seeks to examine, suggests that as renewable emergy flow increases biodiversity will increase. In this regard, we simulate how H.T. Odum’s original CLIMAX model, which tracks forest biomass and diversity over 100 years of succession, responds to a periodic disturbance. The static scenario model compares emergy flow, storage and diversity in five forest eco-regions along the east coast of the United States. An emergy flow matrix ecological network model was used to simulate biodiversity in a mature forest ecosystem and in a typical suburban forest system to investigate how the complexity of a forest system will affect emergy throughput. Comparisons were made for the Shannon diversity index and transformity at the individual trophic level. These comparisons seek to further our understanding of the relationship of emergy and biodiversity and to validate the use of renewable emergy flow to explain ecological phenomena (e.g., biodiversity increasing as latitude decreases, biodiversity increasing through the stages of forest succession).

Suggested Citation

  • Campbell, Elliott T. & Tilley, David R., 2016. "Relationships between renewable emergy storage or flow and biodiversity: A modeling investigation," Ecological Modelling, Elsevier, vol. 340(C), pages 134-148.
  • Handle: RePEc:eee:ecomod:v:340:y:2016:i:c:p:134-148
    DOI: 10.1016/j.ecolmodel.2016.08.004
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    References listed on IDEAS

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    1. Li, Linjun & Lu, Hongfang & Campbell, Daniel E. & Ren, Hai, 2010. "Emergy algebra: Improving matrix methods for calculating transformities," Ecological Modelling, Elsevier, vol. 221(3), pages 411-422.
    2. Elliott Campbell & Mark Brown, 2012. "Environmental accounting of natural capital and ecosystem services for the US National Forest System," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(5), pages 691-724, October.
    3. Fath, Brian D. & Scharler, Ursula M. & Ulanowicz, Robert E. & Hannon, Bruce, 2007. "Ecological network analysis: network construction," Ecological Modelling, Elsevier, vol. 208(1), pages 49-55.
    4. Andy Purvis & Andy Hector, 2000. "Getting the measure of biodiversity," Nature, Nature, vol. 405(6783), pages 212-219, May.
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    Cited by:

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    2. Mattei, F. & Buonocore, E. & Franzese, P.P. & Scardi, M., 2021. "Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models," Ecological Modelling, Elsevier, vol. 451(C).
    3. Berrios, Fernando & Campbell, Daniel E. & Ortiz, Marco, 2017. "Emergy evaluation of benthic ecosystems influenced by upwelling in northern Chile: Contributions of the ecosystems to the regional economy," Ecological Modelling, Elsevier, vol. 359(C), pages 146-164.
    4. Hengyu Pan & Yong Geng & Ji Han & Cheng Huang & Wenyi Han & Zhuang Miao, 2020. "Emergy Based Decoupling Analysis of Ecosystem Services on Urbanization: A Case of Shanghai, China," Energies, MDPI, vol. 13(22), pages 1-25, November.

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