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应用生态学报 ›› 2026, Vol. 37 ›› Issue (3): 814-824.doi: 10.13287/j.1001-9332.202603.028

• 研究论文 • 上一篇    下一篇

基于碳增汇目标的江西省资溪县林地空间分区

鄢妤倩1,2, 张浩填1,3, 朱美青4, 黄宏胜1,2*   

  1. 1江西农业大学国土资源与环境学院, 南昌 330045;
    2自然资源部大湖流域国土空间生态保护修复工程技术创新中心, 南昌 330045;
    3揭阳职业技术学院, 广东揭阳 522000;
    4江西信息应用职业技术学院测绘与空间信息学院, 南昌 330043
  • 收稿日期:2025-08-28 接受日期:2026-01-19 出版日期:2026-03-18 发布日期:2026-09-18
  • 通讯作者: *E-mail: huanghs@jxau.edu.cn
  • 作者简介:鄢妤倩, 女, 2000年生, 硕士研究生。主要从事土地利用变化研究。E-mail: 1987811673@qq.com
  • 基金资助:
    抚州市揭榜挂帅项目(2022JDA07)和国家自然科学基金项目(42161073)

Spatial zoning of forest in Zixi County, Jiangxi Province based on carbon sink enhancement targets

YAN Yuqian1,2, ZHANG Haotian1,3, ZHU Meiqing4, HUANG Hongsheng1,2*   

  1. 1College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China;
    2Engineering Technology Innovation Center for Ecological Protection and Restoration of Territorial Space in the Great Lake Basin, Ministry of Natural Resources, Nanchang 330045, China;
    3Jieyang Polytechnic, Jieyang 522000, Guangdong, China;
    4College of Surveying, Mapping and Spatial Information, Jiangxi Vocational & Technical College of Information Application, Nanchang 330043, China
  • Received:2025-08-28 Accepted:2026-01-19 Online:2026-03-18 Published:2026-09-18

摘要: 森林是陆地生态系统最大的碳汇库,国土空间规划是林地植被碳汇管理的重要措施,基于碳增汇目标探索林地空间分区管制,对于实现我国碳中和目标具有重要的现实意义。本研究以江西省资溪县为例,基于蓄积量-生物量方程、改进的CASA模型分析县域2009—2020年不同林地类型的植被碳储量和净初级生产力(NPP)时空变化特征,并结合林龄和国土空间规划“三线”划定成果在乡镇尺度进行多属性综合评价和空间分区。结果表明:2009—2020年间,全县土地利用结构总体稳定,林地结构变化对植被碳储量影响较大,阔叶林地2009和2020年碳储量占比分别为78.8%、80.4%,是植被碳储量的主要贡献者;截至2020年,资溪县林地的植被碳储量较2009年增长了13.4%;随着林龄的增长,大部分林地的碳储量呈现先增后减的“倒U型”变化特征,反映了林分老化对碳汇功能的制约;2009—2020年林地植被NPP总体降幅为7.3%,其变化主要与人为干扰和林分老化有关。基于碳汇特征和国土空间管控约束,将资溪县12个乡镇(场)划分为碳汇成长区、碳汇保持区、碳汇更新区3类,碳汇管理策略为重点保护碳汇成长区、合理利用碳汇保持区、有序调整碳汇更新区。

关键词: 碳增汇, 林地分区, CASA模型, 资溪县

Abstract: Forests are the largest carbon sink in terrestrial ecosystem. Territorial spatial planning is an important carrier for the management of carbon sinks in forest vegetation. Exploring the spatial zoning of forest based on the goal of carbon sink increase is of great practical significance for achieving China's carbon neutrality goal. With Zixi County from Jiangxi Province as an example, based on the volume-biomass equation and the improved Carnegie-Ames-Stanford Approach (CASA) model, we analyzed the spatio-temporal variations of vegetation carbon storage and net primary productivity (NPP) of different forest types from 2009 to 2020. Combined with forest age and the results of the “three spatial control lines” demarcation in the national spatial planning, we conducted a multi-attribute comprehensive evaluation and spatial zoning at the township scale. The results showed that the overall land-use structure of the county remained relatively stable from 2009 to 2020, while structural changes in forestland had a significant impact on vegetation carbon storage. Broad-leaved forests were the dominant contributors to vegetation carbon storage, accounting for 78.8% and 80.4% of the total in 2009 and 2020, respectively. By 2020, vegetation carbon storage of forest in Zixi County had increased by 13.4% compared with 2009. With increasing forest age, vegetation carbon storage in most forestlands exhibited an inverted U-shaped pattern, reflecting the constraining effects of forest aging on carbon sink functions. From 2009 to 2020, forest vegetation NPP decreased by 7.3% overall, primarily due to anthropogenic disturbances and stand aging. Based on carbon sink characteristics and territorial spatial regulation constraints, we classified the 12 townships (including forest farms) in Zixi County into three functional zones: carbon sink growth zone, carbon sink conservation zone, and carbon sink renewal zone. Corresponding management strategies included prioritizing protection in growth zones, promoting rational utilization in conservation zones, and implementing orderly adjustment in renewal zones.

Key words: carbon sink enhancement, forest zoning, CASA model, Zixi County