黑龙江省森林覆盖及类型变化对森林碳汇的影响OA
The Impact of Changes in Forest Cover and Types on Forest Carbon Sinks in Heilongjiang Province
明确森林覆盖及类型变化对森林碳汇的影响有助于制定提升森林碳汇的科学政策,为国家实现碳达峰、碳中和目标提供支撑.以黑龙江省为研究区,结合卫星数据驱动的生理生长预测模型(physiological principles predicting growth with satellites model,3-PGS)和土壤呼吸地统计学模型(geostatistical model of soil respiration,GSMSR)估算碳汇量,运用图谱分析法和结构方程模型量化森林覆盖及类型变化对碳汇的影响,并结合标准化异常指数(standardized anomaly index,SAI)分析碳汇的年际异常变化特征.结果表明,2000-2020年,黑龙江省森林覆盖率从48.95%升至51.76%.碳汇水平整体波动上升,累积碳汇量达57.92×107 t C,约抵消同期34.85%的碳排放.碳汇变化分为3个阶段,2000-2004年在波动中出现一定的降低,年均固碳量为2.31×107 t C;2005-2013年碳汇平稳上升,年均固碳量高于多年均值2.03%;2014-2020年碳汇水平先加速增长,2017年达到峰值后出现放缓,2020年极端降水灾害导致碳汇出现中度异常减少.在影响碳汇的关键因素方面,退耕还林和草地造林等生态修复活动对碳汇提升有着积极的作用,同时森林内部结构调整也是碳汇提升的重要驱动因子,阔叶林和混交林对碳汇提升有显著正向效应.空间分布上,黑龙江省森林生态系统呈现出"中部和东部高效固碳、北部区域稳步提升"的格局.
Clarifying the effects of forest cover and type changes on forest carbon sinks helps formulate scientific policies to enhance forest carbon sinks,and provides support for the country to achieve carbon peaking and carbon neutrality goals.Taking Heilongjiang Province as the study area,this study estimated carbon sinks by combining the 3-PGS(physi-ological principles predicting growth with satellites)model and the GSMSR(geostatistical model of soil respiration)model.Atlas analysis and structural equation model were used to quantify the impacts of forest cover and type changes on carbon sinks,and the standardized anomaly index(SAI)was applied to analyze the interannual anomaly characteristics of carbon sinks.The results showed that:from 2000 to 2020,the forest coverage rate in Heilongjiang Province rose from 48.95%to 51.76%.The overall carbon sink level showed a fluctuating upward trend,with a cumulative carbon sink of 57.92×107 t C,offsetting approximately 34.85%of carbon emissions over the same period.Carbon sink changes were divided into three stages:a fluctuating decrease from 2000 to 2004,with an average annual carbon sequestration of 2.31×107 t C;a steady increase from 2005 to 2013,2.03%higher than the average;an accelerated growth followed by a slowdown after peaking in 2017 from 2014 to 2020,and a moderate abnormal reduction occurred in 2020 due to extreme rainfalls.In terms of key factors influencing carbon sinks,ecological restoration such as returning farmland to forests and grassland afforestation positively promotes carbon sink enhancement.Meanwhile,internal forest structure adjustment is also a key driver,and broad-leaved and mixed forests show significant positive effects.Spatially,the forest ecosystem in Heilongjiang Province presents a pattern of"efficient carbon sequestration in the central and eastern parts and steady im-provement in the northern region".
阎针溪;于颖;杨曦光
东北林业大学 林学院,哈尔滨 150040东北林业大学 林学院,哈尔滨 150040||森林生态系统可持续经营教育部重点实验室,哈尔滨 150040东北林业大学 林学院,哈尔滨 150040
农业科技
卫星版3-PGS生长模型土壤呼吸地统计学模型森林碳汇森林覆盖及类型变化图谱分析法标准化异常指数结构方程模型黑龙江省
3-PGS modelGSMSR modelforest ecosystem carbon sinkschanges in forest cover and typesatlas analy-sis methodstandardized anomaly indexstructural equation modelheilongjiang province
《森林工程》 2026 (4)
669-680,12
东北林业大学碳中和专项科学基金项目(HFW220100054).
评论