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广元市森林植被碳储量空间分布特征

Spatial distribution characteristics of forest vegetation carbon storage in Guangyuan City

  • 摘要: 为探明广元市森林植被碳储量与碳密度的数量特征,并为林业碳汇发展提供依据,基于2023年广元市林草生态综合监测数据,采用生物量转换因子法估算森林植被碳储量和碳密度,旨在揭示秦巴山区腹地复合生态系统的碳汇格局及空间分布特征。结果表明:(1)广元市森林植被总碳储量为4094.72×104 t,平均碳密度为36.26 t/hm2,其中乔木林贡献了总碳储量的97.02%,是区域碳汇功能的核心载体;(2)碳储量与碳密度呈现明显的经向与垂直地带性特征,高值区集中分布于西北部龙门山和东北部秦岭-米仓山盆周山区,低值区主要位于南部丘陵地带;(3)碳储量随海拔升高而降低,主要集中在海拔<2000 m区域,坡度16°~25°的斜坡地带碳储量最高,阴坡/半阴坡碳密度略高于阳坡/半阳坡。与历史数据对比表明,近二十年来广元市乔木林碳储量显著增长,但碳密度仍低于全国和四川省平均水平,反映出森林质量仍有较大提升空间。研究结果可为广元市森林碳汇精准评估与区域生态管理提供数据支撑和决策依据。

     

    Abstract: To clarify the quantitative characteristics of carbon storage and carbon density of forest vegetation in Guangyuan City, and provide a basis for the development of forestry carbon sink, based on the comprehensive monitoring data of forest and grassland ecology in Guangyuan in 2023, this study estimated the carbon storage and carbon density of forest vegetation by using the biomass conversion factor method, aiming at revealing the carbon sink pattern and spatial distribution characteristics of the complex ecosystem in the hinterland of Qinba Mountain area. The results showed that: (1) The total carbon storage of forest vegetation in Guangyuan City was 4094.72×102 t, and the average carbon density was 36.26 t/hm2, among which the tree forest contributed 97.02% of the total carbon storage, which was the core carrier of regional carbon sink function. (2) The carbon storage and carbon density showed obvious zonal characteristics in longitude and vertical direction. The high-value areas were mainly distributed in the mountainous regions around the Longmen Mountains in the northwest and the Qinling-Micang Mountains in the northeast, and the low-value areas were mainly located in the hilly areas in the south. (3) The carbon storage decreased with increasing altitude and was mainly concentrated in areas with an altitude of less than 2 000 m above sea level. The highest carbon storage was distributed in sloping areas with a gradient of 16° to 25°, and the carbon density on the shady slope/semi-shady slope was slightly higher than that of sunny slope/semi-sunny slope. Compared with historical data, the carbon storage of tree forests in Guangyuan City increased significantly in the past two decades, but the carbon density was still lower than the average level of national and Sichuan province, reflecting that there was still considerable space for improvement in forest quality. The results of this study could provide data support and decision-making basis for accurate assessment of forest carbon sink and regional ecological management in Guangyuan City.

     

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