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基于复杂网络的海洋生态系统压力影响量化方法及应用
引用本文:马镛,张亦飞,祁琪,方欣,郝春玲,连娉婷. 基于复杂网络的海洋生态系统压力影响量化方法及应用[J]. 海洋环境科学, 2019, 38(3): 446-453. DOI: 10.12111/j.mes20190319
作者姓名:马镛  张亦飞  祁琪  方欣  郝春玲  连娉婷
作者单位:国家海洋局第二海洋研究所工程海洋学实验室,浙江杭州,310012;国家海洋局第二海洋研究所工程海洋学实验室,浙江杭州310012;杭州国海海洋工程勘测设计研究,浙江杭州310012;杭州国海海洋工程勘测设计研究,浙江杭州,310012
基金项目:国家海洋公益性行业科研专项项目(2011009)
摘    要:海洋生态系统压力、状态与生态系统服务因素的识别及影响关系分析是实施基于生态系统海洋管理的前提和基础。基于对压力-状态-生态系统服务三者网络化影响关系的认识,本文引入DEMATEL(decision making trial and evaluation laboratory technique)方法并与DPSER(driver-pressure-state-ecosystem service-response)概念模型结合,进行海洋生态系统压力对状态与生态系统服务影响问题的量化研究。首先对研究范围确定、概念模型选择、分析要素确定及DEMATEL量化方法进行了简要介绍,并对实施基于生态系统海洋管理过程中的压力管理和状态监测等问题进行了探讨。尔后,利用美国南佛罗里达州MARES研究计划提供的相关数据进行了模型的实证分析,结果显示本文方法能够更加系统和全面地反映三者之间的影响关系,多种类型的计算指标可以为基于生态系统海洋管理的有效实施提供有效支撑。

关 键 词:基于生态系统的海洋管理  DPSER模型  DEMATEL方法  压力管理
收稿时间:2017-12-27

Complex network based quantitative analysis of marine ecosystem pressures impacting on states and ecosystem services
Yong MA,Yi-fei ZHANG,Qi QI,Xin FANG,Chun-ling HAO,Pin-ting LIAN. Complex network based quantitative analysis of marine ecosystem pressures impacting on states and ecosystem services[J]. Marine Environmental Science, 2019, 38(3): 446-453. DOI: 10.12111/j.mes20190319
Authors:Yong MA  Yi-fei ZHANG  Qi QI  Xin FANG  Chun-ling HAO  Pin-ting LIAN
Affiliation:1.Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
Abstract:Marine ecosystem pressure, state and service component identification and theirquantitative impacting relationshipanalysis is the premise and foundation to implement marine ecosystem-based management (MEBM).Based on the network characteristics of pressure-state-ecosystem service compoment relationships, DEMATEL (decision making trial and evaluation laboratory technique) and DPSER (driver-pressure-state-ecosystem service-response) concept model are introducedto analysis the quantitative connectedness among related factors.The determination of spatial scope, selection of conceptual model, quantization method to calculate influence indexes are also discussed in the paper.On this basis, by use of data from MARES (marine and estuarine goal setting project) in south Florida, USA, an empirical analysis was conducted.The results demonstrate that the proposed combined model can effectively handle the target problem, and provide morevaluable information for planning of restoration activities in the studied waters.
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