摘要
淮海经济区垦殖率约70%,是中国粮食主产区之一,掌握其耕地碳储量时空变化规律、识别耕地碳汇碳源区,对保护区域耕地质量和发挥耕地生态系统碳汇功能,助力“双碳”目标实现有重要意义。该研究基于淮海经济区土壤类型碳密度计算耕地土壤碳储量,再运用NEP(Net Ecosystem Productivity)模型计算耕地植被固碳量,同时借助ArcGIS空间分析和地理探测器等方法研究2005—2020年淮海经济区耕地碳储量时空演变特征、耕地“碳”属性及其驱动因子。结果表明:1)2005—2020年淮海经济区耕地土壤碳储量由于地类转移总体减少了1.393×107 t,在空间上呈“东高西低”分布;耕地植被固碳量则呈现出以2015年为拐点“先增加后减少”变化趋势,NEP在空间上呈现出“东南高,西北低”分布特征;随时间推移,耕地总碳储量空间分布集聚性呈下降趋势,其“高-高”类型区数量也逐渐减少,主要向不显著区和“低-高”离散区转变;2)淮海经济区耕地碳汇区县数32个,中强度碳汇区21个主要分布于淮海经济区西部,高强度碳汇区5个集中分布于东北部;3)驱动淮海经济区耕地碳储量时空分异的因子中,主要因子是交通通达度、粮食产量、归一化植被指数(Normalized Difference Vegetation Index,NDVI)、高程、坡度和坡向,次要因子是人口。未来耕地保护过程中,耕地碳源区县可借鉴碳汇区耕地保护政策和管理措施,以减少耕地碳储量的流失、维持耕地质量,同时也让更多区县的耕地生态系统发挥碳汇作用。
Huaihai Economic Zone with a reclamation rate of about 70%is one of the main grain-producing areas in China.It is very necessary to grasp the spatiotemporal variation of the carbon storage for the carbon sink source areas of cultivated land.The driving factors can be used to ensure national food security for agricultural guidance in the achievement of China’s“Dual carbon”goals.In this study,the carbon storage of cultivated land soil was calculated using the soil type carbon density of the Huaihai Economic Zone.The net ecosystem productivity(NEP)model was also established to calculate the carbon sequestration of cultivated land vegetation.At the same time,the ArcGIS and Geo-Detector software were selected to study the spatiotemporal evolution characteristics of cultivated land carbon storage,the“carbon”attribute of cultivated land and the driving factors in Huaihai Economic Zone from 2005 to 2020.The results showed that:1)The soil carbon storage values of cultivated land were 6.0282×108,6.0554×108,5.9278×108,and 5.8889×108 t in the four years from 2005 to 2020,respectively.The land type transfer decreased by 1.393×107 t,indicating a spatial distribution of“high in the east and low in the west”.2)The carbon sequestration of cultivated land vegetation in the four years from 2005 to 2020 was 2.7067×108,2.7270×108,2.8823×108,and 2.8021×108 t,indicating changing trend of“first increasing and then decreasing”with 2015 as the inflection point.The NEP showed a spatial distribution feature of“high in the southeast,low in the northwest”.The middle high-value area was extended to the southwest with time.3)The overall Moran's I of the total carbon storage in the cultivated land were 0.19,0.19,0.16,and 0.14 from 2005 to 2020,respectively.There was a downward trend in the spatial distribution and concentration.Specifically,the number of“high-high”type areas also gradually decreased,mainly shifting to the insignificant and“low-high”outlier areas.4)There were 32 carbon sink areas of cultivated land in the study area,where 21 medium-strength carbon sink areas were mainly distributed in the west,and five high-strength carbon sink areas were concentrated in the northeast.5)The main factors were traffic accessibility,grain production,NDVI,elevation,slope,and aspect.The secondary factor was population,among the factors driving the spatiotemporal differentiation of cultivated land carbon storage.Therefore,the carbon source counties of cultivated land can take farmland protection and management measures in the carbon sink area,in order to reduce the loss of carbon storage of cultivated land.As such,the quality of cultivated land can be maintained for the carbon sink in the cultivated land ecosystem in the process of farmland protection in the future.
作者
林子奇
王培俊
刘旗
杨亚丽
Lin Ziqi;Wang Peijun;Liu Qi;Yang Yali(School of Public Management,Fujian Agriculture and Forestry University,Fuzhou 350002,China;School of Public Policy&Management School of Emergency Management,China University of Mining and Technology,Xuzhou 221116,China;College of Resources and Environment,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2022年第19期259-268,共10页
Transactions of the Chinese Society of Agricultural Engineering
基金
福建省自然科学基金项目(2019J01397)。
关键词
土地利用
碳
耕地碳储量
碳汇区
土壤有机碳密度
净生态系统生产力
驱动因子
淮海经济区
land use
carbon
carbon storage of cultivated land
carbon sink area
soil organic carbon density
net ecosystem productivity
driving factors
Huaihai economic zone
