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Introduction: Ecosystem Assessment and Management

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Ecosystem Assessment and Fuzzy Systems Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 254))

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Abstract

This article provides an overview of the origin and evolution of the concept of Ecosystem Assessment Management (EAM), including increased use of the framework among academics. EAM is a tool that uses information technology to assess the relationship between human and natural factors of a given eco-system and provide strategies for improved management in the future.

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Acknowledgments

In addition, the authors would like to thank the many collaborators who have been involved in developing and applying EAM research and practice over the last 15 years.

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Authors and Affiliations

  1. Department of Geography, University of Ottawa, Ottawa, Canada

    Hu-hua Cao

  2. School of Information and Technology, Hainan Normal University, Haikou, 571158, China

    Hu-hua Cao & Sheng-Quan Ma

  3. MOE Key Laboratory of Arid and Grassland Ecology, School of Life Science, Lanzhou University, Lanzhou, 730000, China

    Fengmin Li

Authors
  1. Hu-hua Cao
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  2. Sheng-Quan Ma
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  3. Fengmin Li
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Corresponding author

Correspondence to Hu-hua Cao .

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Editors and Affiliations

  1. School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, Guangzhou, People's Republic of China

    Bing-Yuan Cao

  2. School of Information Science and Technology, Hainan Normal University, Haikou, People's Republic of China

    Sheng-Quan Ma

  3. Department of Geography, University of Ottawa, Ottawa, Ontario, Canada

    Hu-hua Cao

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© 2014 Springer International Publishing Switzerland

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Cao, Hh., Ma, SQ., Li, F. (2014). Introduction: Ecosystem Assessment and Management. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-03449-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03448-5

  • Online ISBN: 978-3-319-03449-2

  • eBook Packages: EngineeringEngineering (R0)

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