基于日光诱导叶绿素荧光的东北林区森林碳汇估算

doi:10.6046/zrzyyg.2023268

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摘要森林碳汇是维持地球生态平衡和应对气候变化的重要因素。森林碳汇吸收大量二氧化碳并储存碳元素,有助于减缓气候变化,在全球碳循环中扮演着关键角色。同时,森林碳汇也提供了生物多样性保护、水资源调节和土壤保持等重要生态服务,因此对于森林碳汇的估算十分重要。该文选取我国东北林区为研究区域,基于日光诱导叶绿素荧光(solar-induced chlorophyll fluorescence,SIF)运用植被总初级生产力(gross primary productivity,GPP)作为中间变量来估算2011—2020年6—9月植被生长期的森林碳汇。结果显示: 东北林区森林碳汇与SIF在空间上存在较强相关性; 东北林区的SIF值和碳汇分布相似,长白山地区的碳汇能力较强,而大兴安岭地区的碳汇能力较弱; 在时间分布上,植被生长期的6—9月,碳汇能力总体呈先递增后递减的趋势。总的来说,利用SIF来估算碳汇在东北林区具有较高的可行性。

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	赵子方
	梁艾琳

关键词 ：森林碳汇, SIF, GPP

Abstract：

Forest carbon sink, an important factor in maintaining the ecological balance of the earth and coping with climate change, plays a key role in the global carbon cycle. It absorbs large amounts of carbon dioxide and stores carbon element, helping mitigate climate change. Additionally, forest carbon sink provides essential ecological services, such as biodiversity conservation, water resource regulation, and soil conservation. Therefore, the estimation of forest carbon sink is critical. Based on solar-induced chlorophyll fluorescence (SIF) and using the gross primary productivity (GPP) as an intermediate variable, this study estimated forest carbon sink in the forest region of Northeast China during the vegetation growth period (i.e., from June to September) between 2011 and 2020. The results reveal a strong spatial correlation between forest carbon sink and SIF in this region. The similar distributions of SIF values and carbon sink in the forest region of Northeast China indicate that the Changbai Mountains and the Da Hinggan Mountains had high and low carbon sink capacities, respectively. Over the vegetation growth period from June to September, the carbon sink capacity in the region showed a gradual upward trend initially, followed by a gradual downward trend. Overall, it is highly feasible to estimate carbon sink using SIF in the forest region of Northeast China.

Key words： forest carbon sink solar-induced chlorophyll fluorescence (SIF) gross primary productivity (GPP)

收稿日期: 2023-09-01 出版日期: 2025-02-17

ZTFLH:

TP79

基金资助:江苏省基础研究计划(自然科学基金)青年基金项目“星载CO2-IPDA的高精度探测方法研究”(BK20190779);国家自然科学基金青年科学基金项目“基于星载多波长差分吸收激光雷达的二氧化碳高精度反演方法研究”(42001273)

通讯作者: 梁艾琳(1991-),女,博士,讲师,主要从事环境遥感领域研究。Email: ireneliang@nuist.edu.cn。

作者简介: 赵子方(2000-),男,硕士研究生,主要从事测绘遥感与碳排放领域研究。Email: 1192624116 @qq.com。

引用本文:

赵子方, 梁艾琳. 基于日光诱导叶绿素荧光的东北林区森林碳汇估算[J]. 自然资源遥感, 2025, 37(1): 204-212.
ZHAO Zifang, LIANG Ailin. Estimating forest carbon sink in the forest region of Northeast China using solar-induced chlorophyll fluorescence. Remote Sensing for Natural Resources, 2025, 37(1): 204-212.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023268 或 https://www.gtzyyg.com/CN/Y2025/V37/I1/204

Fig.1 东北林区森林区域

Fig.2 GPP采样前后对比

Fig.3 通量站GPP与对应GOSIF数据

Fig.4 各月GPP/SIF比值

Fig.5 各月份拟合系数

Tab.1 生长期拟合系数值

Fig.6 估算GPP与实测GPP散点图

Fig.7 拟合值与实测值散点图

Fig.8 东北林区碳汇模型结果示例

Fig.9 月碳汇平均值与SIF平均值

Fig.10 月碳汇量

Fig.11 各参数断面图

Fig.12 大、小兴安岭和长白山地区的碳汇平均值

Fig.13 碳汇相对误差

Fig.14 碳汇数据对比

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