郭年冬, 李恒哲, 李超, 陈召亚, 许皞. 基于生态系统服务价值的环京津地区生态补偿研究[J]. 中国生态农业学报(中英文), 2015, 23(11): 1473-1480. DOI: 10.13930/j.cnki.cjea.150419
引用本文: 郭年冬, 李恒哲, 李超, 陈召亚, 许皞. 基于生态系统服务价值的环京津地区生态补偿研究[J]. 中国生态农业学报(中英文), 2015, 23(11): 1473-1480. DOI: 10.13930/j.cnki.cjea.150419
GUO Niandong, LI Hengzhe, LI Chao, CHEN Zhaoya, XU Hao. Regional ecological compensation based on ecosystem service value in the area surrounding Beijing and Tianjin[J]. Chinese Journal of Eco-Agriculture, 2015, 23(11): 1473-1480. DOI: 10.13930/j.cnki.cjea.150419
Citation: GUO Niandong, LI Hengzhe, LI Chao, CHEN Zhaoya, XU Hao. Regional ecological compensation based on ecosystem service value in the area surrounding Beijing and Tianjin[J]. Chinese Journal of Eco-Agriculture, 2015, 23(11): 1473-1480. DOI: 10.13930/j.cnki.cjea.150419

基于生态系统服务价值的环京津地区生态补偿研究

Regional ecological compensation based on ecosystem service value in the area surrounding Beijing and Tianjin

  • 摘要: 为促进京津冀一体化协同发展及生态环境建设, 本文在总结国内外相关研究方法的基础上, 引入生态亚区空间尺度, 将河北省环京津地区划分为7个生态亚区, 应用生态补偿优先级模型, 对环京津地区73个县(市)的单位面积生态系统服务价值和生态补偿优先级进行了计算, 并从环京津地区整体、生态亚区、县(市)3个空间尺度分析了环京津地区生态补偿的优先领域。结果表明: 环京津地区生态补偿优先级总体较高, 且西部山地丘陵地区的生态补偿优先级明显高于中东部及东南部平原地区。不同生态亚区单位面积生态系统服务价值差距不大; 而不同县(市)的生态系统服务价值差异明显, 最低的涞水县为2 440元·hm-2, 最高的滦南县达10 060元·hm-2。各生态亚区中坝上高原草原与农业生态亚区、永定河上游间山盆地林农草生态亚区、冀北及燕山山地落叶阔叶林生态亚区应优先获得生态补偿; 各县(市)中位于研究区北部的丰宁满族自治县、围场满族蒙古族自治县等9个县(市)的生态补偿优先级较高, 应优先获得生态补偿; 而位于东部及南部地区的三河市、大厂回族自治县等49个县(市)应率先支付生态补偿。研究结果与以往的经济补偿强度模型相比, 量化了区域间生态补偿的迫切程度, 能够较好地反映环京津地区生态经济关系, 对于促进京津冀地区协同发展、生态环境保护与土地资源高持续效利用发挥着重要作用。

     

    Abstract: The area around Beijing and Tianjin is a strategic region in terms of ecological defense of Beijing and Tianjin municipalities. To promote the integration of Beijing-Tianjin-Hebei and the construction of ecological environment, it is key point to clarify the compensators and recipients of ecological compensation. This paper introduced spatial scale of sub-ecological region, and divided the area around Beijing and Tianjin of Hebei Province, 73 counties (cities), into 7 sub-ecological regions. Then the paper calculated the per-unit area ecosystem service value and the sequence of priority of ecological compensation (ECPS) of 73 counties (cities) in the region surrounding Beijing and Tianjin. The ECPS can be used to quantify the priority of ecological compensation, and is the basis of regional compensation. The areas with priority for regional ecological compensation in the area surrounding Beijing and Tianjin were analyzed at three spatial scales — the whole region, the sub-ecological region and the county/city scale. The results showed that the ECPS of the area surrounding Beijing and Tianjin was high in totality, and that of the regions around the western mountains and hills was significantly higher than that of the areas in the central and southeast plains. The per-unit area ecosystem service values of different ecological sub-regions were not significantly different. On the contrary, it varied considerably for different counties/cities — 2 440 Yuan·hm-2 for Laishui County (the lowest) in the west mountain area and 10 060 Yuan·hm-2 for Luannan (the highest) County in the east plain. The results also showed that at sub-ecological scale, the grassland and agro-ecological area in Bashang Plateau, the upper reaches of Yongding River and the deciduous broad-leaved forest areas of Jibei and Yanshan mountains needed high priority in terms of ecological compensation. At the county/city scale, Fengning, Weichang and other seven counties/cities in the northern region of the study area had higher priority level in terms of ecological compensation. Then Sanhe, Dachang and other 47 counties/cities in eastern and southern regions of the study area was the first to pay for the ecological compensation. Compared with previous economic compensation intensity models, a relatively simple and reliable evaluation method for priority areas and regional ecological compensation were established in this study. This was not only applicable in the promotion of Beijing-Tianjin-Hebei integration and the construction of ecological environment, but also offered scientific basis for rational land utilization and sustainable development in the study area.

     

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