文献类型：期刊文献

中文题名：基于能值代数的湿地生态系统服务评价去重复性计算

英文题名：Removing double counting in wetland ecosystem services valuation based on emergy algebra

作者：李凯[1,2] 崔丽娟[1,2] 李伟[1,2] 康晓明[1,2] 张亚琼[1,2]

第一作者：李凯

机构：[1]中国林业科学研究院湿地研究所;[2]湿地生态功能与恢复北京市重点实验室

年份：2016

卷号：35

期号：4

起止页码：1108-1116

中文期刊名：生态学杂志

外文期刊名：Chinese Journal of Ecology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：林业公益性行业科研专项(201404305)资助

语种：中文

中文关键词：能值转换率;生态系统服务;重复性计算;能值流程图

外文关键词：emergy transformity; ecosystem services; double counting; emergy flow diagram

分类号：TP334.2

摘要：在对生态系统服务进行评价时,重复计算一直是困扰学者们的一个难题。目前大部分对湿地生态系统服务价值评估的方法都集中于将服务进行简单的分类后,通过经济学的方法计算和评估湿地生态系统服务的价值。而生态系统服务的产生、传输、消费和再生产其实是一个循环的过程,将其生硬的分类进行评估,势必会对结果的精确度造成影响,如果不能正确地去除湿地生态系统服务价值评价中重复计算的部分,会使评估结果的可信度降低。本文通过建立能值流动流程图,对湿地生态系统服务间＂分离、反馈、共产物＂这三个基本机制进行整体性的预先分析,将计算结果与未经预先分析的计算结果对比,得到结果误差范围为12%~38%。研究表明,经过对系统的预先分析,可以有效地去除重复性计算所带来的误差,使评价的结果更加精确。
Ecosystem services valuation has made certain progress,but double counting still occurs. At present,most of the previous approaches to the assessment of wetland ecosystem services focus on the simple classification of services,trying to use the economics method to calculate and evaluate wetland ecosystem services value. The generation,transmission,consumption and reproduction of the ecosystem services are cycle processes. If we only evaluate the value by simple classification,the accuracy of the results will be affected,easily leading to double counting. If this double counting problem cannot be removed appropriately,the credibility of the evaluation results will be reduced. By establishing the flow chart of emergy,this paper analyzed the three basic mechanisms-‘separation,feedback,and co-product＇in the wetland ecosystem services to avoid the double counting error. At last,we compared the calculated results with precondition to the results without precondition,and the error range was from 12% to 38%. Our results indicated that associating with emergy and the preconditioning analysis of the system can remove the double counting effectively and make the evaluation results more accurate.