1. 西南科技大学农学院,四川,绵阳,621010
2. 赫尔辛基大学农业与林业学院,赫尔辛基,00014
3. 四川农业大学商旅学院, 四川 都江堰,611830
4. 西北农林科技大学林学院, 陕西 杨凌,712100
[ "吴昊玥(1996-),女,博士,讲师,主要从事耕地利用碳源/汇研究。E-mail:tsuki710064315@163.com" ]
纸质出版:2022
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吴昊玥, 孟越, 黄瀚蛟, 等. 中国耕地利用净碳汇与农业生产的时空耦合特征[J]. 水土保持学报, 2022,36(5):360-368.
WU Haoyue, MENG Yue, HUANG Hanjiao, et al. Spatiotemporal Coupling Between the Net Carbon Sequestration of Cropland Use and Agricultural Production in China[J]. 2022, 36(5): 360-368.
吴昊玥, 孟越, 黄瀚蛟, 等. 中国耕地利用净碳汇与农业生产的时空耦合特征[J]. 水土保持学报, 2022,36(5):360-368. DOI: 10.13870/j.cnki.stbcxb.2022.05.044.
WU Haoyue, MENG Yue, HUANG Hanjiao, et al. Spatiotemporal Coupling Between the Net Carbon Sequestration of Cropland Use and Agricultural Production in China[J]. 2022, 36(5): 360-368. DOI: 10.13870/j.cnki.stbcxb.2022.05.044.
深入分析中国耕地利用碳源/汇
可为实现"双碳"目标提供耕地领域的数据参考。以中国30省(市、自治区)作为研究范围(港、澳、台、西藏数据缺失过多
难以纳入分析)
核算耕地利用碳排放、碳吸收量
根据二者差值分析净碳效应
刻画其时空演进特征
进而采用耦合协调度与改进的Tapio耦合指数探索净碳效应与农业产值的关系变化。结果表明:(1)20年间
耕地利用碳排放量均值为2.33×108 t
呈先升后降态势
于2015年达到峰值2.63×108 t;碳吸收量则由5.19×108 t升至7.86×108 t;净碳汇由3.19×108 t增至5.40×108 t
表明中国耕地利用系统始终呈现为碳盈余
碳汇效应随时间推移不断增强。(2)就时序特征而言
净碳汇历经波动不定、高速增长、稳定增长3个阶段。从空间格局来看
净碳汇呈自东向西逐次递减的分布特征。(3)从数量角度而言
中国耕地利用净碳汇与农业生产的关系已由全局失调改善为部分协调;从速率角度而言
二者增速关系在多数年份体现为经济主导型耦合
省域状态由若干类型并存演进为以经济主导型耦合居多。据此
应加快耕地利用方式自农资驱动向技术驱动转型
促进种植业全产业链碳减排
分类分批推进排放大省减源增汇。
An in-depth analysis of China's cropland use carbon source / sink can provide data reference in the field of cropland for the realization of the "double carbon" goal. Taking mainland China as the study area while excluding Hong Kong
Macao
Taiwan
and Tibet because of data unavailability
the carbon emission and carbon sequestration of cropland use in 30 provinces (cities and autonomous regions) of China from2000 to 2019 were calculated. and the net carbon effect was analyzed according to the difference between emissions and sequestration
then its spatial and temporal evolution characteristics were described. Furthermore
the coupling coordination degree and the improved Tapio coupling index were used to explore the relationship between net carbon effect and agricultural output value. The results showed that: (1) In the past 20 years
the average carbon emission of cropland use was 2.33×108 t
rising first and then falling
and reaching the peak of 2.63×108 t in 2015. The sequestration increased from 5.19×108 to 7.86×108 t. Accordingly
the net carbon sequestration rose from 3.19×108 to 5.40×108 t
indicating that the cropland use system in China always displayed an increasing carbon surplus
and the carbon sink effect increased over time. (2) In terms of the temporal characteristics
the net carbon sequestration experienced three stages fluctuating
high speed growth and stable growth. From the perspective of spatial pattern
the net carbon sequestration exhibited gradual decline from east to west. (3) In terms of quantity
the relationship between the net carbon sequestration and agricultural economy evolved from overall imbalance to partial coordination. From the perspective of speed
the growth relationship of the two was in economy-leading coupling in most years
and the provincial coupling status of the two evolved from coexistence of several types to the economy-leading coupling. Consequently
it’s necessary to accelerate the transformation of cropland use mode from agricultural materials driven to technology driven. Besides
we should promote the carbon emission reduction of the whole industrial chain of the planting industry
and promote the emission reduction and the increase of sources in large emission provinces by categories and batches.
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