Abstract:

The carbon sequestration ability of vegetation is very sensitive to meteorological conditions, so it’s important to investigate the meteorological contribution to carbon sequestration variation for enhancing the ecological environment and achieving the goal of carbon neutralization. Using net primary productivity data and ground meteorological observation data, this study examined the spatiotemporal distribution variation of vegetation carbon sequestration and its meteorological contribution, using correlation analysis and model simulation. The results showed that the carbon sequestration ability of vegetation was strong in most areas of Guangdong. The order of regions based on their average carbon sequestration over the years in a descending order was as follows: North Guangdong, West Guangdong, East Guangdong, and the Pearl River Delta. The carbon sequestration had a fluctuating upward trend in Guangdong Province from 2001 to 2020. The annual average carbon sequestration of vegetation ranged from 838.7 g∙m^-2 to 1070.8 g∙m^-2, and the 20-year average carbon sequestration of vegetation was 981.2 g∙m^-2. In terms of the seasonal variation, the carbon sequestration of vegetation had the largest value in summer and the smallest in winter. The interannual fluctuation of vegetation carbon sequestration in winter and spring was large, while that in summer and autumn was gentle. For the monthly variation, the lowest carbon sequestration value appeared in January and the highest in July. With the quantitative simulation of Integrated Biosphere Simulator (IBIS) model, it was found that the impact of meteorological factors on vegetation carbon sequestration was positively driven, and the meteorological contribution to vegetation carbon sequestration accounted for 48.4% in recent 20 years. Among these factors, temperature had the strongest impact on vegetation carbon sequestration, followed by precipitation and sunshine. The vegetation carbon sequestration had no lag in the response to sunshine and temperature, and had one to two months lag in the response to precipitation.

Key words: vegetation, carbon sequestration, spatiotemporal variation, meteorological factors, meteorological contribution, Integrated Biosphere Simulator (IBIS)

摘要：

植被固碳能力对气象条件十分敏感,研究植被固碳量变化的气象贡献率,对提升生态环境质量、实现“碳中和”目标具有重要意义。文章基于植被净初级生产力数据和地面气象观测数据,利用相关性分析和模型模拟方法,分析广东省植被固碳量的时空分布特征及其对气象条件的响应规律,并定量研究植被固碳量变化的气象贡献率。结果表明,从空间分布而言,广东省大部分地区植被固碳能力强,多年平均固碳量按从高到低顺序分区域排序为：粤北、粤西、粤东、珠三角。从时间变化而言,2001—2020年广东省植被固碳量呈波动上升趋势,年植被固碳量介于838.7—1070.8 g∙m^-2,近20年平均年固碳量达981.2 g∙m^-2。植被固碳量季节变化规律明显,夏季最大、冬季最小,秋季、春季介于两者之间,冬季、春季植被固碳量年际波动大,而夏季、秋季植被固碳量年际变化平缓。植被月固碳量最低值出现在1月,最高值出现在7月。从集成生物圈模型（IBIS）模型的定量模拟可知,近20年气象要素对植被固碳量的影响以正向驱动为主,植被固碳量变化的气象贡献率为48.4%。其中,气温对植被固碳量的影响最为显著,其次为降水,再次为日照。植被固碳量对日照、气温的响应不存在滞后,对降水的响应存在1—2个月的滞后。

关键词: 植被, 固碳量, 时空变化, 气象要素, 气象贡献率, 集成生物圈模型（IBIS）