测绘通报 ›› 2024, Vol. 0 ›› Issue (2): 8-13,31.doi: 10.13474/j.cnki.11-2246.2024.0202

• 全球地表覆盖时空变化研究和应用 • 上一篇    下一篇

全球典型流域地表覆盖变化与净生态系统碳交换量时空相关性分析

陈磊1, 马颖1, 查逢丽2, 蔺妍臻1, 时广彬3   

  1. 1. 天津师范大学地理与环境科学学院, 天津 300387;
    2. 二十一世纪(安徽)空间技术应用有限公司, 安徽 淮南 232008;
    3. 天津师范大学体育科学学院, 天津 300387
  • 收稿日期:2023-10-09 发布日期:2024-03-12
  • 通讯作者: 时广彬。E-mail:shiguangbin2002@126.com
  • 作者简介:陈磊(1989—),男,讲师,从事定量遥感分析与建模相关研究。E-mail:chenleii0106@126.com
  • 基金资助:
    国家科技基础资源调查专项(2019FY202501);天津市研究生科研创新项目(2022SKYZ268;2022SKYZ272)

Temporal and spatial correlation analysis of land cover change and net ecosystem carbon exchange in globally representative river basins

CHEN Lei1, MA Ying1, ZHA Fengli2, LIN Yanzhen1, SHI Guangbin3   

  1. 1. School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China;
    2. 21st Century (Anhui) Spatial Technology Application Co., Ltd., Huainan 232008, China;
    3. School of Sports Science, Tianjin Normal University, Tianjin 300387, China
  • Received:2023-10-09 Published:2024-03-12

摘要: 随着社会经济的发展,流域管理目标已从早期的防洪、供水、航运等转变为注重资源利用和生态保护的综合管理,并在全球生态系统碳平衡中扮演着重要角色。作为量化生态系统固碳能力的重要指标,净生态系统碳交换量(NEE)在不同地表覆盖类型中的碳源/汇能力存在显著差异。探究全球典型流域地表覆盖类型与NEE的时空相关性对流域生态管理等具有重要意义。本文以全球30 m地表覆盖数据(GlobeLand30)和全球陆地净生态系统碳交换量数据为基础,分析2000—2020年全球8个典型流域的地表覆盖及NEE时空变化特征,研究地表覆盖类型变化与NEE的时空相关性。结果表明:①2000—2020年,流域内耕地、裸地、人造地表、湿地、水体及苔原面积增加,草地面积先增加后减少,整体为增加状态;②2000—2020年,流域整体NEE先减小后增加,整体为减小趋势,碳汇能力增强;③2000—2020年,草地与NEE呈显著负相关,耕地、裸地、人造地表、湿地及水体面积与NEE在2010—2020年呈正相关,地表覆盖类型变化对NEE有显著影响。本文可为流域碳中和管制和土地利用空间优化调控提供理论参考,推动流域协同减排和高质量发展。

关键词: 净生态系统碳交换量, 地表覆盖类型, 时空变化, 典型流域

Abstract: With socio-economic development, the management objectives of river basins shift from early flood control, water supply, and navigation to comprehensive management focusing on resource utilization and ecological protection, playing a significant role in the global ecosystem carbon balance. As an important indicator for quantifying ecosystem carbon sequestration capacity, net ecosystem carbon exchange (NEE) exhibits significant differences in carbon source/sink capacity among different surface cover types. Exploring the temporal and spatial correlation between globally representative river basin surface cover types and NEE is of great significance for basin ecological management. Based on the global 30 m surface cover dataset (GlobeLand30) and global land net ecosystem carbon exchange data, this study analyzes the temporal and spatial characteristics of surface cover and NEE changes in 8 typical river basins worldwide from 2000 to 2020, and investigates the temporal and spatial correlation between surface cover type changes and NEE. The results show that: ① From 2000 to 2020, the area of cropland, bare, artificial surfaces, wetlands, water, and tundra increased significantly, while grassland increased first and then decreases, it showed an overall increasing trend. ② From 2000 to 2020, the NEE value of the basin decreased first and then increased with the overall decreasing trend and enhanced carbon sink capacity. The basin exhibited a carbon sink, but the mean NEE showed an overall increasing trend, indicating a weakening carbon sink capacity. ③ During 2000—2020, there was a significant negative correlation between grassland and NEE, where the relationship between cropland, bare, artificial surface, wetland and water with NEE was positive in 2010—2020. The change of land cover type had a significant impact on NEE. This research provides theoretical references for basin carbon neutrality regulation and spatial optimization control, and promotes coordinated emission reduction and high-quality development of river basins.

Key words: net ecosystem carbon exchange, surface cover type, temporal and spatial changes, typical river basins

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