| 基于系数修正的青龙县生态系统服务价值动态变化研究 |
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| 引用本文： | 刘倩,李葛,张超,赵丽,朱永明.基于系数修正的青龙县生态系统服务价值动态变化研究[J].中国生态农业学报,2019,27(6):971-980. |
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| 作者姓名： | 刘倩 李葛 张超 赵丽 朱永明 |
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| 作者单位： | 河北农业大学国土资源学院 保定 071001,河北农业大学国土资源学院 保定 071001,河北农业大学国土资源学院 保定 071001,河北农业大学国土资源学院 保定 071001,河北农业大学国土资源学院 保定 071001 |
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| 基金项目： | 河北省社会科学基金项目（HB17GL060）资助 |
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| 摘 要： | 生态系统服务价值是反映一个区域生态环境状况和生态效益的重要指标，生态系统服务价值变化对区域生态建设及可持续发展具有重要意义。本文以河北省青龙县为研究区，基于Costanza生态系统服务价值评估模型，参考谢高地等的研究成果，采用区域差异性系数、社会发展修正系数，调整生态服务价值当量因子表，构建了生态系统服务价值动态评估模型，对青龙县2006—2016年间生态系统服务功能价值动态变化情况做出了评估与分析。研究结果表明：1）2006—2016年青龙县生态系统服务功能总价值呈增加-减少-增加的变化趋势，总量增加45.07亿元，年均变化量为4.51亿元，年均变化率为4.54%；2）各种土地利用类型中，林地、园地所提供的生态系统服务功能价值最大，其次为水域、耕地，未利用地及湿地占比最少；3）研究区的生态系统服务功能价值结构总体趋于稳定，其占比大小依次为：生物多样性保护 > 水源涵养 > 气候调节 > 气体调节 > 土壤的形成与保护 > 原材料 > 废物处理 > 游憩文化 > 食物生产。不同地区的生态系统服务价值是存在差异的，且随着社会的发展而不断变化着。本研究与以往的生态系统服务价值评估模型相比，考虑到区位条件、社会发展对研究区的影响，对县域小尺度更具有适宜性，更能揭示区域生态系统服务价值的动态变化机制和效应。
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| 关 键 词： | 生态系统服务价值 系数修正 区域差异系数 社会发展修正系数 青龙县 |
| 收稿时间： | 2018/10/19 0:00:00 |
| 修稿时间： | 2019/2/5 0:00:00 |
Study on dynamic changes in ecosystem service values in Qinglong County based on coefficient correction |
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| LIU Qian,LI Ge,ZHANG Chao,ZHAO Li and ZHU Yongming.Study on dynamic changes in ecosystem service values in Qinglong County based on coefficient correction[J].Chinese Journal of Eco-Agriculture,2019,27(6):971-980. |
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| Authors: | LIU Qian LI Ge ZHANG Chao ZHAO Li and ZHU Yongming |
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| Institution: | College of Land and Resources, Agricultural University of Hebei, Baoding 071001, China,College of Land and Resources, Agricultural University of Hebei, Baoding 071001, China,College of Land and Resources, Agricultural University of Hebei, Baoding 071001, China,College of Land and Resources, Agricultural University of Hebei, Baoding 071001, China and College of Land and Resources, Agricultural University of Hebei, Baoding 071001, China |
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| Abstract: | Ecosystem service value is an important index to reflect the ecological environment condition and ecological benefit of a region, and the change of ecosystem service value is of great significance to regional ecological construction and sustainable development. In reference to the research of Xie Gaodi and others, the Costanza ecosystem service value assessment model was used to study the Qinglong County of Hebei Province. The regional differences coefficient and the correction coefficient of social development were used to adjust the table of equivalent factors of the ecological service value. A new dynamic assessment model for ecosystem service value was constructed, and the dynamic changes in ecosystem service value in the Qinglong County were evaluated and analyzed from 2006 to 2016. The results of the study indicate that:1) the total ecosystem service value of Qinglong County in 2006-2016 showed a trend of increase-decrease-increase, with a total increase of 4.507 billion Yuan, an annual change of 451 million Yuan per year, and an annual average change rate of 4.54%. 2) Among different land types, forest land and garden land provided the highest value of ecosystem services, followed by water area and cultivated land, and unused land and wetland had the lowest value. 3) The value structure of the ecosystem service function of the whole research area remained stable, and the ranking was as follows:biodiversity conservation > water conservation > climate regulation > gas regulation > soil formation and protection > raw materials > waste disposal > recreation culture > food production. There were differences in the value of ecosystem services between different regions and the values were continually changing depending on the development of a society. Compared with previous static assessment models on ecosystem service values, this study took into account the impact of location conditions and social development in the study area. The model is more suitable for a small-scale county and can reveal the dynamic change mechanism and effect of a regional ecosystem service value. |
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| Keywords: | Ecosystem services value Coefficient correction Regional differences coefficient Correction coefficient of social development Qinglong County |
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