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应用生态学报 ›› 2023, Vol. 34 ›› Issue (6): 1610-1620.doi: 10.13287/j.1001-9332.202306.024

• 研究论文 • 上一篇    下一篇

浙江省土地利用变化对生态系统固碳服务的影响及其预测

徐彩瑶1,2, 任燕2, 孔凡斌1,2,3*   

  1. 1浙江农林大学生态文明研究院/浙江省乡村振兴研究院, 杭州 311300;
    2浙江农林大学经济管理学院, 杭州 311300;
    3南京林业大学经济管理学院, 南京 210037
  • 收稿日期:2023-01-15 接受日期:2023-04-09 出版日期:2023-06-15 发布日期:2023-12-15
  • 通讯作者: *E-mail: kongfanbin@aliyun.com
  • 作者简介:徐彩瑶, 女, 1989年生, 博士, 讲师。主要从事可持续生态学、生态经济、资源环境经济研究。E-mail: caiyao@126.com
  • 基金资助:
    浙江省社会科学领军人才培育专项(21YJRC12-2YB)

Impacts and prediction of land use change on ecosystem carbon sequestration in Zhejiang Province, China

XU Caiyao1,2, REN Yan2, KONG Fanbin1,2,3*   

  1. 1Institute of Ecological Civilization/Zhejiang Institute of Rural Revitalization, Zhejiang A&F University, Hangzhou 311300, China;
    2School of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China;
    3School of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
  • Received:2023-01-15 Accepted:2023-04-09 Online:2023-06-15 Published:2023-12-15

摘要: 明确土地利用变化对生态系统固碳服务的影响对于探索基于自然的碳中和解决方案至关重要。以浙江省为研究对象,运用InVEST模型和FLUS模型,分析2000—2021年土地利用变化及其对生态系统固碳服务的影响,并分别预测2035和2050年土地利用格局在自然发展、生态保护和耕地保护3种情景下的生态系统固碳服务潜力及其经济价值。结果表明: 2000—2021年,浙江省耕地、林地、草地和水域面积不断减少,建设用地面积不断增加;浙江省生态系统固碳服务总量减少2996.58万t,固碳服务净收益为-17071.84万美元;生态系统固碳服务分布呈现西南高、东北低的空间格局。未来浙江省生态系统固碳服务总量均在生态保护情景下最高,耕地保护情景次之,自然发展情景最低。预计2021—2035、2021—2050年,浙江省生态系统固碳服务在生态保护情景下将分别增加323.26万和473.00万t,产生固碳服务净收益分别为7707.86万和11183.91万美元;在耕地保护情景下将分别减少1013.18万和1616.11万t,产生固碳服务经济价值净流失分别为24138.49万和38191.09万美元;在自然发展情景下将分别减少1164.90万和1616.51万t,导致固碳服务经济价值净流失分别为27753.93万和38200.63万美元。在积极应对气候变化和推动实现碳中和目标背景下,浙江省应着力保护林地、草地和水域等生态用地,扩大生态用地规模,优化生态用地空间结构,不断增强生态用地的固碳增汇功能。

关键词: 土地利用, 固碳服务, FLUS模型, InVEST模型, 情景预测

Abstract: It is crucial to clarify the impact of land use change on ecosystem carbon sequestration service for exploring natural-based carbon neutral solutions. We used InVEST and FLUS models to analyze land use change and its impacts on ecosystem carbon sequestration service in Zhejiang Province from 2000 to 2021, and predict ecosystem carbon sequestration service potential and its economic value of land use pattern in 2035 and 2050 under three scenarios of natural development, ecological protection, and cultivated land protection. The results showed that the area of cultivated land, forest, grassland, and water was continuously reducing and the area of construction land was continuously increasing from 2000 to 2021 in Zhejiang Province. The total amount of ecosystem carbon sequestration service decreased by 29.9658 million t, and the net income of carbon sequestrqtion service was -170.7184 million dollars. The distribution of ecosystem carbon sequestration services showed a spatial pattern of high in the southwest and low in the northeast. In the future, the total amount of ecosystem carbon sequestration services in Zhejiang Province would be the highest under the ecological protection scenario, followed by the cultivated land protection scenario, and the lowest under the natural development scenario. From 2021 to 2035 and 2050, ecosystem carbon sequestration services in Zhejiang Province would increase by 3.2326 million and 4.73 million t respectively under the ecological protection scenario, generating carbon sequestration service benefits of 77.0786 million and 111.8391 million dollars, respectively. Under the cultivated land protection scenario, it would be reduced by 10.1318 million and 16.1611 million t, and the net loss of carbon sequestration service value would be 241.3849 million and 381.9109 million dollars, respectively. Under the natural development scenario, it would be reduced by 11.6490 million and 16.1651 million t, resulting in a net loss of carbon sequestration service value of 277.5393 million and 382.0063 million dollars, respectively. In the context of actively addressing climate change and striving to achieve the goal of carbon neutrality, Zhejiang Province should focus on protecting ecological land such as woodlands, grasslands, and water, expand the scale of ecological land, optimize the spatial structure of ecological land, and continuously enhance carbon sequestration and sink enhancement functions of ecological land.

Key words: land use, carbon sequestration service, FLUS model, InVEST model, scenario prediction