Abstract
Ecological indicator system (EIS) is widely used in ecosystem monitoring, assessment and management, building a bridge between scientists, environmental managers, and the general public. This paper explores a conceptual model for ecological indicator selection, and a quantitative selection model is formulated based on the conceptual model. The quantitative selection model is a typical zero-one type integer programming problem, and a binary-code genetic algorithm is proposed for solving it. Then the quantitative selection model and its solving method are applied to the Xiamen's coastal ecosystem health framework which comprises 4 levels of ecosystem structure. In this case, the purpose is to reduce the indicator set to minimize overall management costs, and 19 indicators are discarded from the 54 candidate concrete indicators by our method. The selection modeling and its solving method are demonstrated to be a scientific and effective way for ecological indicator application.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
