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    牟燕, 冯飞. 基于土地利用的北京市多情景模拟下生态服务价值影响评估[J]. 北京林业大学学报, 2023, 45(5): 14-24. DOI: 10.12171/j.1000-1522.20220351
    引用本文: 牟燕, 冯飞. 基于土地利用的北京市多情景模拟下生态服务价值影响评估[J]. 北京林业大学学报, 2023, 45(5): 14-24. DOI: 10.12171/j.1000-1522.20220351
    Mou Yan, Feng Fei. Impact assessment of ecological service value under multi scenario simulation in Beijing based on land use[J]. Journal of Beijing Forestry University, 2023, 45(5): 14-24. DOI: 10.12171/j.1000-1522.20220351
    Citation: Mou Yan, Feng Fei. Impact assessment of ecological service value under multi scenario simulation in Beijing based on land use[J]. Journal of Beijing Forestry University, 2023, 45(5): 14-24. DOI: 10.12171/j.1000-1522.20220351

    基于土地利用的北京市多情景模拟下生态服务价值影响评估

    Impact assessment of ecological service value under multi scenario simulation in Beijing based on land use

    • 摘要:
        目的  土地利用/覆盖变化(LUCC)是影响区域生态系统服务价值的重要因素,结合可持续发展框架分析土地利用演变对生态系统服务价值(ESV)的影响,有助于对区域生态文明建设提供科学参考。
        方法  利用北京市2010和2020年的土地利用现状图,通过Markov-CLUE-S耦合模型模拟出2030年3种发展情景下的土地利用格局,结合可持续发展目标15(SDG 15)指标讨论土地利用变化对ESV总量的影响。
        结果  (1)2010—2020年北京市土地利用变化总体呈耕地、草地和水域面积缩减,林地和建筑用地扩张的格局。2020—2030年,自然发展情景(NIS)下各地类变化趋势较2010—2020年幅度有所减缓;生态保护情景(EPS)下林地和水域面积较2020年涨幅分别为4.96%和14.26%;耕地保护情景(CPS)下耕地缩减和城市扩张情况得到有效遏制;(2)2010年、2020年和2030年(NIS、EPS、CPS)的ESV总量分别为418.4×108、409.9×108、403.6×108、432.4×108和407.0×108 元。对于各土地类型,林地、水域和耕地占ESV总量的90%以上,建筑用地侵占和水域恢复分别为ESV损失和增益的主要原因;(3)2020—2030年,北京市森林覆盖率呈增长变化。3种情景下退化土地比例大小为NIS > EPS > CPS,造成的ESV损失量为3.8×108、4.1×108和8.1×108元。
        结论  水体、耕地和建筑用地是北京市土地利用变化的主要类型,三者间的转换也是ESV总量浮动的关键原因。在未来土地利用规划中,应综合考量生态保护和耕地保护措施,以期达到区域生态系统服务价值最大化和可持续发展目标实现。

       

      Abstract:
        Objective  Land use/cover change (LUCC) is an essential driving factor affecting regional ecosystem service values. The study analyzed the impact of land use evolution on the value of ecosystem service values (ESV), so as to provide scientific reference for regional construction of ecological civilization.
        Method  Based on land use status maps in 2010 and 2020, this study simulated land use patterns of Beijing in 2030 under three different development scenarios, and analyzed the impact of land use changes on total ESV with sustainable development goal 15 (SDG 15).
        Result  (1) From 2010 to 2020, the overall land use changes in Beijing showed a pattern of reduced arable land, grassland and water area, while forest land and construction land expanded. From 2020 to 2030, the trend of changes in various regions under the natural increase scenario (NIS) had slowed down compared with that from 2010 to 2020. Under the ecosystem protection scenario (EPS), forest and water area increased significantly compared with that in 2020, whose change rates were 4.96% and 14.26%, respectively. Under the cropland protection scenario (CPS), the trend of cropland reduction and urban expansion got curbed efficiently. (2) The total amount of ESV in 2010, 2020 and 2030 (NIS, EPS and CPS) was 41.84 billion CNY, 40.99 billion CNY, 40.36 billion CNY, 43.24 billion CNY and 40.70 billion CNY, respectively. For each land type, forest land, waters and arable land accounted for over 90% of the total ESV, with construction land encroachment and water restoration being the main reasons for ESV loss and gain, respectively. (3) Forest cover rate was increasing gradually in Beijing from 2020 to 2030. Additionally, the proportion of degraded land under the three scenarios was NIS > EPS > CPS, resulting in the loss of ESV of 380 million CNY, 410 million CNY and 810 million CNY, respectively, both exhibited opposite trends in size.
        Conclusion  Waters, arable land and construction land are the main types of land use changes in Beijing, and the conversion between the three is also a key reason for the fluctuation of the total ESV. In future land use planning, ecological protection and arable land protection measures should be comprehensively considered to achieve the maximization of regional ecosystem service value and the achievement of sustainable development goals.

       

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