SPATIOTEMPORAL FEATURES AND DRIVING FACTORS OF CARBON SOURCES & SINKING EFFECTS OF JIANGXI'S FARMLAND ECOSYSTEM

doi:10.13776/j.cnki.resourcesindustries.20250702.008

Abstract

Abstract: Study on spatiotemporal features and driving factors of carbon sources and sinking effects of Jiangxi's farmland ecosystem can provide references to make emission reduction and fixing carbon measures in regional agriculture. This paper, taking Jiangxi province as the study area, uses parameters estimation and GIS to evaluate the spatiotemporal evolution of carbon sources & sinking effects of Jiangxi's farmland ecosystem during 2012 to 2021, and applies LMDI model to explore its driving factors of spatial differentiation. The carbon sources & sinking effects of Jiangxi's farmland ecosystem have increased to 3.11 in 2021 from 2.81 in 2012 at an average yearly rising rate of 1.14%, and bear a dramatic regional variance showing spatial conglomeration, high carbon sources and high sinking effects in Ganzhou, low carbon sources and low sinking effects in central Jiangxi area. Among their driving factors, economy plays a fundamental role, directly affecting farmers' planting decisions and agricultural management. The structural elements show duality and heterogeneity, marked by impacts of different land uses on carbon sources and sinking effects. Productivity and labor element entangles mutually, technical advances may reduce labor demands but increase carbon emissions, labor-intensive agriculture may reduce carbon emissions but increase costs. This paper presents suggestions on making localized agricultural emission reduction and fixing carbon measures in terms of Jiangxi's natural resource occurrences, economy and agricultural production, providing theoretical supports for realizing carbon peaking and neutralization in ecological civilization demonstration areas.

Key words: farmland ecosystem, carbon sources and sinking effects, LMDI model, Jiangxi province

摘要： 探究江西省农田生态系统碳源和碳汇效应时空变化特征及其驱动因素，可为科学制定区域农业减排固碳措施提供参考。论文以江西省为研究对象，基于参数估计法、GIS空间分析等评估2012—2021年江西省农田生态系统碳源汇效应时空演变，并借助LMDI模型探究农田生态系统碳源汇效应空间分异的驱动因素。研究结果显示：1）江西省农田生态系统碳源汇效应由2012年的2.81增加至2021年的3.11，增长了1.14%；2）江西省农田生态系统的碳源汇效应区域差异显著，并呈空间集聚特征，表现在赣州地区是高碳源-高碳汇效应的主要集中区，而赣中地区则以低碳源-低碳汇效应为主；3）在农田生态系统碳源与碳汇的驱动因素中，经济因素起决定性作用，直接影响农民的种植决策和农业管理方式，结构要素呈现二元性和异质性，表现为不同土地利用方式对碳源与碳汇的影响差异，生产力与劳动力要素则相互制约，技术进步可能减少劳动力需求但增加碳排放，劳动力密集型农业则可能减少碳排放但增加成本。研究结论认为，未来应当采取因地制宜策略，结合江西省不同区域的自然资源禀赋、经济发展水平和农业生产特点，制定符合区域实际的农业减排固碳措施，为实现生态文明示范区的碳达峰碳中和目标提供理论支撑。

关键词: 农田生态系统, 碳源汇效应, LMDI模型, 江西省

CLC Number:

F301.21

LU Tiangui, LIANG Hui, CHEN Anying, FU Shufei, ZHAO Qiao. SPATIOTEMPORAL FEATURES AND DRIVING FACTORS OF CARBON SOURCES & SINKING EFFECTS OF JIANGXI'S FARMLAND ECOSYSTEM[J]. Resources & Industries, 2025, 27(4): 13-22.

吕添贵, 梁慧, 陈安莹, 付舒斐, 赵巧. 江西省农田生态系统碳源汇效应时空特征及驱动因素研究[J]. 资源与产业, 2025, 27(4): 13-22.

References

丁宝根, 赵玉, 邓俊红, 2022.中国种植业碳排放的测度、脱钩特征及驱动因素研究[J].中国农业资源与区划, 43(5): 1-11.〔DING B G, ZHAO Y, DENG J H, 2022. Calculation, decoupling effects and driving factors of carbon emission from planting industry in China[J].Chinese Journal of Agricultural Resources and Regional Planning, 43(5): 1-11.〕

段华平, 张悦, 赵建波, 等, 2011.中国农田生态系统的碳足迹分析[J].水土保持学报, 25(5): 203-208.〔DUAN H P, ZHANG Y, ZHAO J B, et al., 2011. Carbon footprint analysis of farmland ecosystem in China[J]. Journal of Soil and Water Conservation, 25(5): 203-208.〕

范大莎, 杨旭, 吴相利, 等, 2017.东北三省农田生态系统碳排放时空分异特征及驱动因素研究[J].环境科学学报, 37(7): 2797-2804.〔FAN D S, YANG X, WU X L, et al., 2017. Spatial-temporal differentiation of agro-ecosystem carbon emissions in Northeast China and its driving factors[J].Acta Scientiae Circumstantiae, 37(7): 2797-2804.〕

何艳秋, 陈柔, 吴昊玥, 等, 2018. 中国农业碳排放空间格局及影响因素动态研究[J].中国生态农业学报, 26(9): 1269-1282.〔HE Y Q, CHEN R, WU H Y, et al., 2018. Spatial dynamics of agricultural carbon emissions in China and the related driving factors[J]. Chinese Journal of Eco-Agriculture, 26(9): 1269-1282.〕

胡春胜, 王玉英, 董文旭, 等, 2018.华北平原农田生态系统碳过程与环境效应研究[J].中国生态农业学报, 26(10): 1515-1520.〔HU C S, WANG Y Y, DONG W X, et al., 2018. Carbon process and environmental effect on agro-ecosystem in the North China Plain[J].Chinese Journal of Eco-Agriculture, 26(10): 1515-1520.〕

黄嘉瑜, 焦露, 2023.“双碳”约束下黄河下游生态效率测度与时空演变分析[J].贵州师范大学学报(自然科学版), 41(2): 24-32.〔HUANG J Y, JIAO L, 2023. Measurement and spatial-temporal evolution of ecological efficiency in the lower Yellow River under the “dual carbon” target[J]. Journal of Guizhou Normal University(Natural Sciences), 41(2): 24-32.〕

江西省统计局, 国家统计局江西调查总队, 2022. 江西统计年鉴[M].北京：中国统计出版社.

李建豹, 陈红梅, 张彩莉, 等, 2024.长三角地区碳源碳汇时空演化特征及碳平衡分区[J].环境科学, 45(7): 4090-4100.〔LI J B, CHEN H M, ZHANG C L, et al., 2024. Spatialtemporal evolution characteristics of carbon sources and carbon sinks and carbon balance zoning in the Yangtze River Delta Region[J].Environmental Sciences, 45(7): 4090-4100.〕

吕添贵, 邱蓉, 赵巧, 等, 2024a. 基于DPSIRM模型的长江中游城市群生态安全时空特征及障碍因素[J].水土保持研究, 31(2): 379-388.〔LV T G, QIU R, ZHAO Q, et al., 2024. Temporal-spatial evaluation of regional ecological security and obstacle diagnosis of the urban agglomerations in the middle reaches of the Yangtze River based on DPSIRM model[J]. Research of Soil and Water Conservation, 31(2): 379-388.〕

吕添贵, 付舒斐, 胡晗, 等, 2024b.农业绿色转型约束下耕地利用生态效率时空分异特征及空间效应[J].水土保持研究, 31(1): 269-279.〔LV T G, FU S F, HU H, et al., 2024. Spatialtemporal differentiation characteristics and spatial effects of eco-efficiency of cultivated land use based on the constraints of agricultural green transformation[J]. Research of Soil and Water Conservation, 31(1): 269-279, 289.〕

孟成民, 刘清, 王建武, 2014.广东省农田生态系统碳源汇时空差异[J].广东农业科学, 41(8): 198-201.〔MENG C M, LIU Q, WANG J W, 2014. Temporospatial variation analysis on carbon source/sink of farmland ecosystem in Guangdong[J]. Guangdong Agricultural Sciences, 41(8): 198-201.〕

闵继胜, 胡浩, 2012. 中国农业生产温室气体排放量的测算[J]. 中国人口·资源与环境, 22(7): 21-27.〔MIN J S, HU H, 2012. Calculation of greenhouse gases emission from agricultural production in China[J]. China Population, Resources and Environment, 22(7): 21-27.〕

钱敏, 高璐, 2020.基于GDIM的陕西省工业碳排放影响因素研究[J].资源与产业, 22(2): 18-24.〔QIAN M, GAO L, 2020. Industrial carbon emission factors in Shaanxi Province based on GDIM[J].Resources and Industry, 22(2): 18-24.〕

孙小祥, 张华兵, 于英鹏, 2021.江苏沿海地区农田生态系统碳源/汇时空变化及公平性研究[J].中国农业资源与区划, 42(10): 56-64.〔SUN X X, ZHANG H B, YU Y P, 2021. Spatial and temporal dynamics in carbon source/sink and equity of the farmland ecosystem in Jiangsu coastal area, China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 42(10): 56-64.〕

谭美秋, 崔耀平, 马晓哲, 等, 2022.河南省农田生态系统碳汇核算研究[J].生态与农村环境学报, 38(9): 1129-1137.〔TAN M Q, CUI Y P, MA X Z, et al., 2022. Study on carbon sink estimation of cropland ecosystem in Henan Province[J].Journal of Ecology and Rural Environment, 38(9): 1129-1137.〕

田云, 张君, 2020.地理分区视角下的农业碳效应驱动机理研究[J].华中农业大学学报(社会科学版)(2): 78-87.〔TIAN Y, ZHANG J, 2020.Research on the driving mechanism of agricultural carbon effect from the perspective of geographical divisions[J].Journal of Huazhong Agricultural University(Social Science Edition)(2): 78-87.〕

田云, 张俊飚, 2013.中国农业生产净碳效应分异研究[J].自然资源学报, 28(8): 1298-1309.〔TIAN Y, ZHANG J B, 2013. Regional differentiation research on net carbon effect of agricultural production in China[J].Journal of Natural Resources, 28(8): 1298-1309.〕

田志会, 刘瑞涵, 2016.北京市农田生态系统碳汇及释氧功能年际变化研究[J].生态经济, 32(1): 68－71.〔TIAN Z H, LIU R H, 2016. Study on the interannual variability of carbon sink and oxygen release function of farmland ecosystem in Beijing[J].Ecological Economy, 32(1): 68-71.〕

王梁, 赵杰, 陈守越, 2016.山东省农田生态系统碳源、碳汇及其碳足迹变化分析[J].中国农业大学学报, 21(7): 133-141.〔WANG L, ZHAO J, CHEN S Y, 2016. Analysis of ecosystem carbon source/sink and carbon footprint in farmland of Shandong Province[J].Journal of China Agricultural University, 21(7): 133-141.〕

吴昊玥, 何宇, 黄瀚蛟, 等, 2021.中国种植业碳补偿率测算及空间收敛性[J].中国人口资源与环境, 31(6): 113-123.〔WU H Y, HE Y, HUANG H J, et al., 2021. Estimation and spatial convergence of carbon compensating rate of planting industry in China[J].China Population Resources and Environment, 31(6): 113-123.〕

伍芬琳, 张海林, 李琳, 等, 2008.保护性耕作下双季稻农田甲烷排放特征及温室效应[J].中国农业科学(9): 2703-2709.〔WU F L, ZHANG H L, LI L, et al., 2008. Characteristics of CH₄ emission and greenhouse effects in double paddy soil with conservation tillage[J]. Scientia Agricultura Sinica(9): 2703-2709.〕

谢婷, 张慧, 苗洁, 等, 2021.湖北省农田生态系统温室气体排放特征与源/汇分析[J].农业资源与环境学报, 38(5): 839-848.〔XIE T, ZHANG H, MIAO J, et al., 2021. Greenhouse gas emission characteristics and source/sink analysis of farmland ecosystem in Hubei Province[J]. Journal of Agricultural Resources and Environment, 38(5): 839-848.〕

谢永浩, 刘争, 2022.中国省域种植业碳汇量、碳排放量的时空分异及公平性研究[J].世界农业(2): 100-109.〔XIE Y H, LIU Z, 2022. Study on the temporal and spatial differentiation and equity of carbon sinks and carbon emissions of China's provincial planting industry[J].World Agriculture(2): 100-109.〕

许萍萍, 赵言文, 陈颢明, 等, 2018.江苏省农田生态系统碳源/汇、碳足迹动态变化[J].水土保持通报, 38(5): 238-243.〔XU P P, ZHAO Y W, CHEN H M, et al., 2018. Dynamic change of carbon source/sink and carbon footprint of farmland ecosystem in Jiangsu Province[J]. Bulletin of Soil and Water Conservation, 38(5): 238-243.〕

杨嵘, 常烜钰, 2012.基于LMDI的西部地区碳排放因素分解[J].资源与产业, 14(2): 172-179.〔YANG R, CHANG X Y, 2012. Decomposition of carbon emission factors in western China based on LMDI[J].Resources and Industry, 14(2): 172-179.〕

张精, 方堉, 魏锦达, 等, 2021.基于碳足迹的安徽省农田生态系统碳源/汇时空差异[J].福建农业学报, 36(1): 78-90.〔ZHANG J, FANG Y, WEI J D, et al., 2021. Carbon footprint based temporal and spatial analysis on carbon sources/sinks at farmlands in Anhui Province[J].Fujian Journal of Agriculture Sciences, 36(1): 78-90.〕

赵宁, 周蕾, 庄杰, 等, 2021.中国陆地生态系统碳源/汇整合分析[J].生态学报, 41(19): 7648-7658.〔ZHAO N, ZHOU L, ZHUANG J, et al., 2021. Integration analysis of the carbon sources and sinks in terrestrial ecosystems, China[J]. Acta Ecologica Sinica, 41(19): 7648-7658.〕

FAN J L, MCCONKEY B G, LIANG B C, et al., 2019. Increasing crop yields and root input make Canadian farmland a large carbon sink[J].Geoderma, 336:49-58.

KAY S, REGA C, MORENO G, et al., 2019. Agroforestry creates carbon sinks whilst enhancing the environment in agricultural landscapes in Europe[J]. Land Use Policy, 83:581-593.

ZALAGHI R, LANDI A, 2009. Evaluating carbonic greenhouse gasses emission and organic carbon balance from soils under current agricultural land used[J].Journal of Applied Sciences, 9(12): 93-98.

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