摘要
利用2000—2020年的相关数据计算农业和森林碳汇量,研究黄河流域农林碳汇的时空变化特征,并运用地理探测器模型对其影响因素进行分析。结果表明:黄河流域各省份农林碳汇量均有不同幅度的提升,但空间分布不均衡现象仍存在;降水、气温、坡度、坡向及人口数量是黄河流域农林碳汇的主导因子;交互作用的解释力度增强,且以双因子增强型为主;各因素均与农林碳汇有显著差别,可以得到农林碳汇量达到最大的因子范围。
The relevant data from 2000 to 2020 are used to calculate the carbon sinks of agriculture and forests,the spatial and temporal variation characteristics of agricultural and forestry carbon sinks in the Yellow River Basin are studied,and the influencing factors are analyzed by using the geographic detector model.The results show that the carbon sink of agriculture and forestry in all provinces increased by different amplitudes,but the spatial distribution is still unbalanced.Precipitation,temperature,slope,aspect and population are the leading factors of agricultural and forestry carbon sinks in the Yellow River Basin.The explanatory strength of the interaction is enhanced,and the two-factor enhancement type is the main one.All factors are significantly different from agricultural and forestry carbon sinks,and the factor range of agricultural and forestry carbon sinks reaching the largest can be obtained.
作者
李珂
史维良
LI Ke;SHI Weiliang(School of Statistics,Xi’an University of Finance and Economics,Xi’an 710100,China)
出处
《科技和产业》
2023年第17期92-97,共6页
Science Technology and Industry
关键词
农林碳汇
地理探测器
时空演变
agricultural and forestry carbon sinks
geoprobes
space-time evolution
作者简介
李珂(1999—),女,陕西汉中人,西安财经大学统计学院,硕士研究生,研究方向为应用统计;通信作者:史维良(1973—),女,陕西西安人,西安财经大学统计学院,副教授,硕士,研究方向为应用统计。
