Journal of Plant Ecology

• •    

森林碳汇四维特征—以黑龙江省为例

  

  • 收稿日期:2025-07-06 接受日期:2025-11-10

Changes in four-dimensional carbon sinks in forest ecosystems: Evidence from the Heilongjiang Province of China

Zixuan Zhou1,2, Jie Li1,2, Xuezheng Han1,2, Weifeng Gao1,2, Nianpeng He1,3,4*   

  1. 1Key Laboratory of Boreal Forest Ecosystem Conservation and Restoration, National Forestry and Grassland Administration, Harbin, 150040, China

    2Institute of Carbon Neutrality, School of Ecology, Northeast Forestry University, Harbin 150040, China

    3Heilongiiang Maoershan Forest Ecosystem National Observation and Research Station, Northeast Forestry University, Harbin 150040, China

    4Earth Critical Zone and Flux Research Station of Xing’an Mountains, Chinese Academy of Sciences, Daxing’anling 165200, China

    *Corresponding Author: Nianpeng He, henp@igsnrr.ac.cn

  • Received:2025-07-06 Accepted:2025-11-10
  • Supported by:
    This study was supported by the National Natural Science Foundation of China (32301362, 32430067), the Project of Heilongjiang Forestry Technology Service Center (GXGJ[CS]20250007), and the project of Evaluation Methodology of Afforestation Carbon Sinks in Heilongjiang Province.

PDF (PC)

1

摘要： 森林生态系统的固碳速率 (CSR) 能够在不同时空尺度上实现较为精确的预测。然而，不同生态系统组分之间的固碳速率差异及其与社会经济发展的耦合关系仍未得到充分揭示，而这些信息对于确保长期稳定实现高固碳水平具有重要意义。本研究构建了一个涵盖空间、时间、组分及社会经济因素的四维森林碳汇 (4-D carbon sink) 分析框架。采用森林固碳模型 (FCS)，在三种气候情景 (SSP119、SSP245和SSP585) 下，对2020–2060年黑龙江省森林生态系统的四维碳汇进行了系统评估，并划分为两个研究时期 (2020–2030年与2030–2060年)。结果表明，黑龙江省森林的平均固碳速率为23.25 ± 1.14 Tg C yr–1，其中大兴安岭地区、黑河市、伊春市和牡丹江市合计贡献了全省碳汇增量的75%。从时间变化来看，固碳速率预计将在2035–2040年达到峰值。植被和土壤始终是主要的固碳来源，而枯落物在不同空间和时间尺度上的贡献相对有限。值得注意的是，黑龙江北部地区的单位GDP的固碳率显著高于东部地区 (占全省总量的80%以上)。总体来看，黑龙江省森林碳汇在空间、时间、组分及社会经济等多维尺度上呈现出显著差异，不同地区、时期、森林组分及社会经济条件之间存在明显的异质性与不平衡性，亟需在未来予以充分关注。本研究的结果为在中国2060年碳中和目标背景下提升区域固碳能力并促进经济协同发展提供了新的科学依据与政策启示。

关键词: 森林, 碳循环, 碳汇, 不平衡, 碳中和, 碳交易

Abstract: Carbon sequestration rates (CSRs) in forest ecosystems can be accurately predicted at different spatial and temporal scales. However, the variation of CSRs among different ecosystem components and the correlation with socioeconomic development remain unclear, although they are important to know to ensure that high CSRs are achieved on schedule in the long run. We aimed to develop a novel four-dimensional forest carbon sink (4-D carbon sink) framework considering spatial, temporal, component, and socioeconomic factors. The Forest Carbon Sequestration Model (FCS) was applied under three climate scenarios (SSP119, SSP245, and SSP585) to assess the 4-D carbon sinks in the forest ecosystems of the Heilongjiang Province from 2020 to 2060, across two periods (2020–2030 and 2030–2060). The average CSR in Heilongjiang’s forests was 23.25 ± 1.14 Tg C yr–1, with Daxing’anling, Heihe, Yichun and Mudanjiang accounting 75% of the provincial total. Temporally, CSRs should reach a maximum in 2035–2040. Vegetation and soil consistently accounted for most CSRs, whereas litter exerted minimal influence across spatial and temporal contexts. Notably, northern Heilongjiang displayed markedly higher CSR per unit GDP (> 80% of the provincial total) than eastern areas. Overall, carbon sinks in Heilongjiang varied greatly across spatial, temporal, component, and socioeconomic scales, and the strong heterogeneity and clear imbalances among different regions, time periods, forest components, and socioeconomic conditions should be emphasized in the future. Our results offer new insights and guidance for strengthening carbon sequestration and regional economic development under China’s 2060 carbon neutrality goal.

Key words: Forests, Carbon cycle, Carbon sequestration, Imbalance, Carbon neutrality, Carbon trading

Copyright ©2022 版权所有 《植物生态学报》编辑部
地址: 北京香山南辛村20号, 邮编: 100093
Tel.: 010-62836134, 62836138;　Fax: 010-82599431;　E-mail: apes@ibcas.ac.cn, cjpe@ibcas.ac.cn
网站备案号: 京ICP备16067583号-19