Acta Agrestia Sinica ›› 2025, Vol. 33 ›› Issue (10): 3396-3404.DOI: 10.11733/j.issn.1007-0435.2025.10.027

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Simulation of the Spatio-temporal Patterns of Carbon Source/Sink of Grassland Ecosystem in Gansu Province

WANF Fei1, XU Gan-jun1, KANG Xiao-ming2,3, WANG Guo-feng1, YAN Liang2,3, WANG Yi-ge1, ZHANG Xiao-dong2,3, ZHANG Ke-rou2,3   

  1. 1. State Forestry Administration Key Laboratory of Eco-hydrology and Disaster Prevention in Arid areas, Northwest Surveying, Planning and Designing Institute of National Forestry and Grassland Administration, Xi'an, Shanxi Province 710048, China;
    2. State Key Laboratory of Wetland Conservation and Restoration, Beijing Key Laboratory of Wetland Services and Restoration, Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China;
    3. Sichuan Zoige Wetland Ecosystem Research Station, Tibetan Autonomous Prefecture of Aba, Aba, Sichuan Province 624500, China
  • Received:2024-12-10 Revised:2025-03-20 Published:2025-10-17

甘肃省草地生态系统碳源/汇时空格局模拟

王飞1, 徐干君1, 康晓明2,3, 王国锋1, 颜亮2,3, 王弋戈1, 张骁栋2,3, 张克柔2,3   

  1. 1. 旱区生态水文与灾害防治国家林业局重点实验室, 国家林业和草原局西北调查规划院, 陕西 西安 710048;
    2. 湿地环境保护与生态修复全国重点实验室, 湿地生态功能与恢复北京市重点实验室, 中国林业科学研究院生态保护与修复研究所, 北京 100091;
    3. 四川若尔盖高寒湿地生态系统定位观测研究站, 四川 阿坝 624500
  • 通讯作者: 张克柔,E-mail:zhangkerou1991@nwafu.edu.cn
  • 作者简介:张克柔,E-mail:zhangkerou1991@nwafu.edu.cn
  • 基金资助:
    甘肃省林业和草原局科技支撑项目(GSYS-ZFCG-20241104);国家林业和草原局西北调查规划院科技创新项目(XBY-KJCX-2023-02);国家自然科学基金项目(32171597)资助

Abstract: The grassland in Gansu province is a key area for studying carbon budget in China, and its net ecosystem productivity (NEP) is the core for measuring the carbon source/sink function in this region. However, the complex terrain and climatic conditions lead to a large uncertainty in the estimation of NEP in this region. This study, simulated the spatio-temporal patterns of grassland NEP in Gansu from 1980 to 2022 using the Integrated Biosphere Simulator (IBIS) model and validated the results with observational data. The IBIS model performed well in simulating grassland NEP (R2=0.70,P<0.0001). From 1980 to 2022, the annual mean NEP was 194.5 g·m-2 ·a-1 C, with a slight increasing trend. The spatial pattern of the annual average NEP generally showed a trend of being higher in the southeast and lower in the northwest, with a gradual decrease from southeast to northwest. Most of the southern grassland is a carbon sink area, while some arid grasslands in the north are carbon source areas, with their NEP distribution patterns mainly dominated by rainfall. These findings enhance the understanding of grassland carbon sequestration in Gansu and support regional “carbon neutrality” goal.

Key words: Grassland ecosystem, Carbon sink, NEP, Spatial-temporal pattern

摘要: 甘肃省草地是我国碳收支研究的关键区域,其净生态系统生产力(NEP)是衡量碳源/汇功能的核心。然而复杂的地形和气候条件导致该地区NEP估算存在较大不确定性。本研究基于集成生物圈模型(IBIS),模拟了1980—2022年甘肃省草地NEP的时空格局,并结合观测数据验证了模型精度。结果表明,IBIS模型能够较好地模拟该区域草地NEP动态(R2=0.70,P<0.0001)。1980—2022年,甘肃省草地年均NEP为194.5 g m-2·a-1 C,呈轻微上升趋势。年均NEP空间格局总体呈现东南高西北低,从东南向西北逐渐递减的趋势。南部草地大部分地区为碳汇区,北部部分干旱草原为碳源区,其NEP分布格局主要由降雨主导。本研究为甘肃省草地碳汇功能评估提供了科学依据,对实现区域“碳中和”目标具有重要参考价值。

关键词: 草地生态系统, 碳汇, NEP, 时空格局

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