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湖北省农作物碳汇的阶段性特征、空间差异与动态演进

张金鑫 彭雄 张金华 刘军彤 胡婉玲

张金鑫,彭雄,张金华,等.湖北省农作物碳汇的阶段性特征、空间差异与动态演进:基于1997—2022年湖北省农作物数据[J].环境工程技术学报,2024,14(5):1513-1522 doi: 10.12153/j.issn.1674-991X.20240301
引用本文: 张金鑫,彭雄,张金华,等.湖北省农作物碳汇的阶段性特征、空间差异与动态演进:基于1997—2022年湖北省农作物数据[J].环境工程技术学报,2024,14(5):1513-1522 doi: 10.12153/j.issn.1674-991X.20240301
ZHANG J X,PENG X,ZHANG J H,et al.Stage characteristics, spatial differences and dynamic evolution of crop carbon sink in Hubei Province based on the crop data from 1997 to 2022[J].Journal of Environmental Engineering Technology,2024,14(5):1513-1522 doi: 10.12153/j.issn.1674-991X.20240301
Citation: ZHANG J X,PENG X,ZHANG J H,et al.Stage characteristics, spatial differences and dynamic evolution of crop carbon sink in Hubei Province based on the crop data from 1997 to 2022[J].Journal of Environmental Engineering Technology,2024,14(5):1513-1522 doi: 10.12153/j.issn.1674-991X.20240301

湖北省农作物碳汇的阶段性特征、空间差异与动态演进—基于1997—2022年湖北省农作物数据

doi: 10.12153/j.issn.1674-991X.20240301
基金项目: 湖北省教育厅人文社会科学研究项目(20Q006);国家社会科学基金项目(19ZDA085);国家自然科学基金项目(71871086)
详细信息
    作者简介:

    张金鑫(1988—),男,高级实验师,博士,主要从事农业暨典型行业碳减排碳交易研究,zhangjinxin999@foxmail.com

    通讯作者:

    刘军彤(2004—),男,主要从事农业碳减排碳交易研究,tonggai@foxmail.com

  • 中图分类号: X171.1;X321

Stage characteristics, spatial differences and dynamic evolution of crop carbon sink in Hubei Province based on the crop data from 1997 to 2022

  • 摘要:

    湖北省是我国农业大省,科学测算湖北省农作物碳汇,摸清本底,对碳汇交易和农业低碳发展具有重要意义。对湖北省1997—2022年的农作物碳汇量进行测算,运用Dagum基尼系数、Kernel密度估计和Markov链,探讨湖北省农作物碳汇量的地区差异和动态演进特征。结果表明:1997—2022年,湖北省农作物碳汇量呈现“W”形波动上升的态势,平均值为12 085.30万t,其中粮食作物为湖北省农作物碳汇的主要贡献来源。“双碳”背景下对湖北省的三大地区及各市(州、林区)展开分析,发现1997—2022年鄂东地区农作物碳汇量位于湖北省三大地区的第一位。Dagum基尼系数分析显示湖北省农作物碳汇存在一定的地区差异,其差异主要来自于超变密度,平均贡献率为53.58%,湖北省农作物碳汇总量具有较强的稳定性,具有一定的俱乐部趋同特征。最后提出相关对策建议,如开发农作物碳汇核算方法学和标准,制定差异化的农业碳汇增汇政策,探索农业碳汇交易机制及价值实现。

     

  • 图  1  1997—2022年湖北省农作物碳汇量变化

    Figure  1.  Carbon sink changes of crops in Hubei Province from 1997 to 2022

    图  2  1997—2022年湖北省粮食作物和经济作物碳汇分布

    Figure  2.  Carbon sink distributions of grain and cash crops in Hubei Province from 1997 to 2022

    图  3  1997—2022年湖北省三大地区农作物碳汇变化趋势

    Figure  3.  Trends in crop carbon sink changes in three major regions of Hubei Province from 1997 to 2022

    图  4  湖北省农作物碳汇的地区内差异、地区间差异子群分布

    Figure  4.  Distribution of sub groups of intra regional and inter regional differences in crop carbon sinks in Hubei Province

    图  5  1997—2022年湖北省农作物碳汇的时空分布格局

    注:地图底图为GS(2019)1822号。

    Figure  5.  Spatial and temporal distribution pattern of crop carbon sinks in Hubei Province from 1997 to 2022

    图  6  1997—2022年湖北省农作物碳汇的分布动态

    Figure  6.  Distribution dynamics of crop carbon sinks in Hubei Province from 1997 to 2022

    图  7  湖北省三大地区农作物碳汇的分布动态

    Figure  7.  Distribution dynamics of crop carbon sinks in the three major regions of Hubei Province

    表  1  湖北省主要农作物碳吸收率、含水率及经济系数

    Table  1.   Carbon absorption rate, moisture content and economic coefficient of main crops in Hubei Province

    作物类型作物种类碳吸收率含水率经济系数
    粮食作物水稻[21,26]0.4140.120.45
    小麦[21,26]0.4850.120.40
    玉米[21,26]0.4710.130.40
    豆类[21,26]0.4500.130.35
    薯类[21,26]0.4230.700.70
    经济作物棉花[21,26]0.4500.080.10
    油菜[18,21]0.4500.250.10
    花生[21,27-28]0.4500.430.10
    芝麻[28-29]0.4500.1450.12
    麻类[25]0.4500.130.10
    糖类[26]0.5500.850.45
    烟草[21,25,27]0.4500.550.16
    下载: 导出CSV

    表  2  1997—2022年湖北省农作物碳汇的地区差异

    Table  2.   Regional differences in crop carbon sink in Hubei Province from 1997 to 2022

    年份 总体 地区内差异 地区间净差异 地区间超变密度 贡献率/%
    地区内差异 地区间差异 地区间超变密度
    1997 0.406 3 0.130 0 0.049 4 0.227 0 31.986 12.154 55.860
    1998 0.408 4 0.129 1 0.048 4 0.230 9 31.605 11.840 56.555
    1999 0.412 1 0.132 9 0.047 5 0.231 7 32.243 11.529 56.228
    2000 0.395 6 0.125 1 0.053 5 0.216 9 31.635 13.536 54.829
    2001 0.404 6 0.127 0 0.064 6 0.213 0 31.390 15.961 52.649
    2002 0.406 6 0.129 9 0.037 7 0.239 0 31.942 9.280 58.778
    2003 0.403 7 0.128 8 0.053 3 0.221 6 31.904 13.196 54.900
    2004 0.407 9 0.130 1 0.055 4 0.222 4 31.887 13.576 54.537
    2005 0.404 0 0.129 4 0.053 5 0.221 1 32.025 13.245 54.730
    2006 0.400 2 0.127 8 0.049 0 0.223 3 31.946 12.241 55.813
    2007 0.409 1 0.130 2 0.055 2 0.223 7 31.815 13.495 54.689
    2008 0.407 5 0.129 7 0.052 5 0.225 2 31.844 12.894 55.262
    2009 0.406 5 0.129 2 0.055 1 0.222 2 31.786 13.558 54.656
    2010 0.407 7 0.129 2 0.057 9 0.220 7 31.687 14.194 54.120
    2011 0.404 5 0.127 8 0.064 1 0.212 6 31.584 15.857 52.559
    2012 0.406 2 0.128 5 0.062 2 0.215 5 31.624 15.310 53.066
    2013 0.410 1 0.129 9 0.071 0 0.209 3 31.681 17.299 51.020
    2014 0.411 3 0.130 0 0.070 5 0.210 8 31.612 17.145 51.243
    2015 0.410 6 0.129 9 0.069 5 0.211 2 31.629 16.931 51.440
    2016 0.421 5 0.132 4 0.062 9 0.226 2 31.414 14.923 53.664
    2017 0.423 1 0.131 9 0.079 0 0.212 2 31.183 18.667 50.151
    2018 0.423 1 0.132 9 0.072 6 0.217 6 31.407 17.156 51.438
    2019 0.425 0 0.133 1 0.076 6 0.215 4 31.316 18.016 50.668
    2020 0.428 2 0.134 4 0.072 6 0.221 1 31.389 16.967 51.644
    2021 0.427 6 0.134 4 0.074 5 0.218 7 31.438 17.421 51.141
    2022 0.428 3 0.135 0 0.073 1 0.220 2 31.515 17.077 51.408
    平均值 0.411 5 0.130 3 0.060 8 0.220 4 31.672 14.749 53.579
    下载: 导出CSV

    表  3  湖北省农作物碳汇的Markov转移概率矩阵

    Table  3.   Markov transfer probability matrix of crop carbon sink in Hubei Province

    t/(t+1)
    0.944 0.056 0 0
    0.057 0.896 0.047 0
    0 0.037 0.925 0.037
    0 0 0.038 0.962
    下载: 导出CSV
  • [1] 胡婉玲, 张金鑫, 王红玲. 中国农业碳排放特征及影响因素研究[J]. 统计与决策,2020,36(5):56-62.

    HU W L, ZHANG J X, WANG H L. Characteristics and influencing factors of agricultural carbon emission in China[J]. Statistics & Decision,2020,36(5):56-62.
    [2] 李艳苓, 朱昌雄, 李红娜, 等. 基于层次分析法的农业面源污染防治技术评价[J]. 环境工程技术学报,2019,9(4):355-361.

    LI Y L, ZHU C X, LI H N, et al. Evaluation of agricultural non-point source pollution control technologies based on analytic hierarchy process[J]. Journal of Environmental Engineering Technology,2019,9(4):355-361.
    [3] 董红敏, 李玉娥, 陶秀萍, 等. 中国农业源温室气体排放与减排技术对策[J]. 农业工程学报,2008,24(10):269-273. doi: 10.3321/j.issn:1002-6819.2008.10.055

    DONG H M, LI Y E, TAO X P, et al. China greenhouse gas emissions from agricultural activities and its mitigation strategy[J]. Transactions of the Chinese Society of Agricultural Engineering,2008,24(10):269-273. doi: 10.3321/j.issn:1002-6819.2008.10.055
    [4] 胡婉玲, 张金鑫, 王红玲. 中国种植业碳排放时空分异研究[J]. 统计与决策,2020,36(15):92-95.

    HU W L, ZHANG J X, WANG H L. Research on the spatiotemporal differentiation of carbon emissions in China's planting industry[J]. Statistics & Decision,2020,36(15):92-85.
    [5] LAL R, BRUCE J P. The potential of world cropland soils to sequester C and mitigate the greenhouse effect[J]. Environmental Science & Policy,1999,2(2):177-185.
    [6] 陈罗烨, 薛领, 雪燕. 中国农业净碳汇时空演化特征分析[J]. 自然资源学报,2016,31(4):596-607.

    CHEN L Y, XUE L, XUE Y. Spatial-temporal characteristics of China's agricultural net carbon sink[J]. Journal of Natural Resources,2016,31(4):596-607.
    [7] 尚杰, 杨滨键. 区域农业碳足迹动态影响效应研究: 以潍坊市种植业为例[J]. 农村经济,2020(5):75-82.
    [8] 丁宝根, 杨树旺, 赵玉. 长江经济带种植业碳排放时空特征及驱动因素研究[J]. 生态与农村环境学报,2019,35(10):1252-1258.

    DING B G, YANG S W, ZHAO Y. Study on spatial-temporal characteristics and driving factors of carbon emission from planting industry in the Yangtze River Economic Belt[J]. Journal of Ecology and Rural Environment,2019,35(10):1252-1258.
    [9] 陈红, 王浩坤, 秦帅. 农业碳排放的脱钩效应及驱动因素分析: 以黑龙江省为例[J]. 科技管理研究,2019,39(17):247-252.

    CHEN H, WANG H K, QIN S. Analysis of decoupling effect and driving factors of agricultural carbon emission: a case study of Heilongjiang Province[J]. Science and Technology Management Research,2019,39(17):247-252.
    [10] 翟国庆, 韩明钊, 李永江, 等. 黑土坡耕地有机碳变化及固碳潜力分析[J]. 生态学报,2020,40(16):5751-5760.

    ZHAI G Q, HAN M Z, LI Y J, et al. Organic carbon change and carbon sequestration potential of sloping farmland in the black soil area[J]. Acta Ecologica Sinica,2020,40(16):5751-5760.
    [11] 韩冰, 王效科, 逯非, 等. 中国农田土壤生态系统固碳现状和潜力[J]. 生态学报,2008,28(2):612-619.

    HAN B, WANG X K, LU F, et al. Soil carbon sequestration and its potential by cropland ecosystems in China[J]. Acta Ecologica Sinica,2008,28(2):612-619.
    [12] 董婧, 孙长虹, 王永刚, 等. 北京市典型农业区域大气环境氨浓度动态变化分析[J]. 环境工程技术学报,2017,7(3):262-267.

    DONG J, SUN C H, WANG Y G, et al. Dynamics of atmospheric ammonia concentrations over representative agricultural region in Beijing[J]. Journal of Environmental Engineering Technology,2017,7(3):262-267.
    [13] 谢高地, 李士美, 肖玉, 等. 碳汇价值的形成和评价[J]. 自然资源学报,2011,26(1):1-10. doi: 10.11849/zrzyxb.2011.01.001

    XIE G D, LI S M, XIAO Y, et al. Value of carbon sink: concept and evaluation[J]. Journal of Natural Resources,2011,26(1):1-10. doi: 10.11849/zrzyxb.2011.01.001
    [14] 朱燕茹, 王梁. 农田生态系统碳源/碳汇综述[J]. 天津农业科学,2019,25(3):27-32.

    ZHU Y R, WANG L. A review of carbon source and carbon sink in farmland ecosystem[J]. Tianjin Agricultural Sciences,2019,25(3):27-32.
    [15] 祁巍锋, 唐彩飞. 工业型村庄碳排放影响因素研究: 以杭州市萧山区凤凰村例[J]. 建筑与文化,2016(4):155-157.

    QI W F, TANG C F. Study on the influencing factors of carbon emission in industrial villages:a case study of Fenghuang Village, Xiaoshan City, Hangzhou[J]. Architecture & Culture,2016(4):155-157.
    [16] GOGLIO P, SMITH W N, GRANT B B, et al. A comparison of methods to quantify greenhouse gas emissions of cropping systems in LCA[J]. Journal of Cleaner Production,2018,172:4010-4017. doi: 10.1016/j.jclepro.2017.03.133
    [17] 尚杰, 杨滨键. 种植业碳源、碳汇测算与净碳汇影响因素动态分析: 山东例证[J]. 改革,2019(6):123-134.

    SHANG J, YANG B J. Estimation of carbon source and carbon sequestration in planting industry and dynamic analysis of influencing factors of net carbon sequestration: a case study of Shandong Province[J]. Reform,2019(6):123-134.
    [18] 李波, 张俊飚. 我国农作物碳汇的阶段特征与空间差异研究[J]. 湖北农业科学,2013,52(5):1229-1233.

    LI B, ZHANG J B. Study on phase characteristics and spatial differences of Chinese agricultural carbon sinks[J]. Hubei Agricultural Sciences,2013,52(5):1229-1233.
    [19] 李波, 王春妤, 张俊飚. 中国农业净碳汇效率动态演进与空间溢出效应[J]. 中国人口·资源与环境,2019,29(12):68-76.

    LI B, WANG C Y, ZHANG J B. Dynamic evolution and spatial spillover of China’s agricultural net carbon sink[J]. China Population, Resources and Environment,2019,29(12):68-76.
    [20] 张精, 方堉, 魏锦达, 等. 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,2021,36(1):78-90.

    ZHANG J, FANG Y, WEI J D, et al. Carbon footprint-based temporal and spatial analysis on carbon sources/sinks at farmlands in Anhui Province[J]. Fujian Journal of Agricultural Sciences,2021,36(1):78-90.
    [21] 李克让. 土地利用变化和温室气体净排放与陆地生态系统碳循环[M]. 北京: 气象出版社, 2002: 310.
    [22] 伍国勇, 刘金丹, 杨丽莎. 中国农业碳排放强度动态演进及碳补偿潜力[J]. 中国人口·资源与环境,2021,31(10):69-78. doi: 10.12062/cpre.20210606

    WU G Y, LIU J D, YANG L S. Dynamic evolution of China's agricultural carbon emission intensity and carbon offset potential[J]. China Population, Resources and Environment,2021,31(10):69-78. doi: 10.12062/cpre.20210606
    [23] 国家发展和改革委员会. 省级温室气体清单编制指南(试行)[S]. 北京: 国家发展和改革委员会, 2011.
    [24] 张金鑫, 胡婉玲, 王红玲. 湖北省农业碳排放的时序特征与影响因素分析[J]. 湖北农业科学,2020,59(24):67-74.

    ZHANG J X, HU W L, WANG H L. Analysis of the timing characteristics and influencing factors of agricultural carbon emissions in Hubei Province[J]. Hubei Agricultural Sciences,2020,59(24):67-74.
    [25] 王诗雨, 刘学伟, 崔鸿鹏, 等. 农田生态系统碳源/汇时空演变因素分析: 以黑龙江省为例[J]. 中国国土资源经济: 2024, 37(5): 4-13.

    WANG S Y, LIU X W, CUI H P, et al. Analysis of temporal and spatial evolution factors of carbon source/sink in farmland ecosystem: a case study of Heilongjiang Province[J]. Natural Resource Economics of China, 2024, 37(5): 4-13.
    [26] 王宝英, 齐爱云, 王子莎. 黄河流域与长江经济带种植业碳足迹供需平衡对比研究[J]. 湖北农业科学,2022,61(3):53-59.

    WANG B Y, QI A Y, WANG Z S. A comparative study on the supply and demand balance of the planting industry carbon footprint between the Yellow River Basin and the Yangtze River Economic Belt[J]. Hubei Agricultural Sciences,2022,61(3):53-59.
    [27] 王梁, 赵杰, 陈守越. 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,2016,21(7):133-141. doi: 10.11841/j.issn.1007-4333.2016.07.17

    WANG L, ZHAO J, CHEN S Y. Analysis of ecosystem carbon sources/sinks and carbon footprint in farmland ecosystem of Shandong Province[J]. Journal of China Agricultural University,2016,21(7):133-141. doi: 10.11841/j.issn.1007-4333.2016.07.17
    [28] RONG T Q, ZHANG P Y, ZHU H R, et al. Spatial correlation evolution and prediction scenario of land use carbon emissions in China[J]. Ecological Informatics,2022,71:101802. doi: 10.1016/j.ecoinf.2022.101802
    [29] 徐玥, 王辉, 韩秋凤. 中国农业净碳效应与农业经济发展的时空耦合规律研究[J]. 新疆农垦经济,2023(7):1-12. doi: 10.3969/j.issn.1000-7652.2023.07.002

    XU Y, WANG H, HAN Q F. A study of the spatial-temporal coupling patterns between the net carbon effect of agriculture and agricultural economic development in China[J]. Xinjiang State Farms Economy,2023(7):1-12. doi: 10.3969/j.issn.1000-7652.2023.07.002
    [30] MAI Q S, BAI M T, LI L. Study on the dynamic evolution and regional differences of the level of high-quality economic and social development in China[J]. Sustainability,2022,15(1):382. doi: 10.3390/su15010382
    [31] CHEN P H, RAO M Y, VASA L, et al. Spatial effects and heterogeneity analysis of the impact of environmental taxes on carbon emissions in China[J]. Heliyon,2023,9(11):e21393. doi: 10.1016/j.heliyon.2023.e21393
    [32] LV C C, BIAN B C, LEE C C, et al. Regional gap and the trend of green finance development in China[J]. Energy Economics,2021,102:105476. doi: 10.1016/j.eneco.2021.105476
    [33] 张卓群, 张涛, 冯冬发. 中国碳排放强度的区域差异、动态演进及收敛性研究[J]. 数量经济技术经济研究,2022,39(4):67-87.

    ZHANG Z Q, ZHANG T, FENG D F. Study on regional differences, dynamic evolution and convergence of carbon emission intensity in China[J]. The Journal of Quantitative & Technical Economics,2022,39(4):67-87.
    [34] 陈景华, 陈姚, 陈敏敏. 中国经济高质量发展水平、区域差异及分布动态演进[J]. 数量经济技术经济研究,2020,37(12):108-126.

    CHEN J H, CHEN Y, CHEN M M. China's high-quality economic development level, regional differences and dynamic evolution of distribution[J]. The Journal of Quantitative & Technical Economics,2020,37(12):108-126.
    [35] LI Z F, CAI Y L, HU S L. Research on systemic financial risk measurement based on HMM and text mining: a case of China financial market[J]. IEEE Access,2021,9:22171-22185. doi: 10.1109/ACCESS.2021.3055967
    [36] 刘巽浩, 徐文修, 李增嘉, 等. 农田生态系统碳足迹法: 误区、改进与应用: 兼析中国集约农作碳效率(续)[J]. 中国农业资源与区划,2014,35(1):1-7. doi: 10.7621/cjarrp.1005-9121.20140101

    LIU X H, XU W X, LI Z J, et al. The missteps, improvement and application of carbon footprint methodology in farmland ecosystems with the case study of analyzing the carbon efficiency of China’s intensive farming[J]. Chinese Journal of Agricultural Resources and Regional Planning,2014,35(1):1-7. doi: 10.7621/cjarrp.1005-9121.20140101
    [37] 谢婷, 张慧, 苗洁, 等. 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,2021,38(5):839-848.

    XIE T, ZHANG H, MIAO J, et al. Greenhouse gas emission characteristics and source/sink analysis of farmland ecosystem in Hubei Province[J]. Journal of Agricultural Resources and Environment,2021,38(5):839-848. ⊕
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  • 收稿日期:  2024-05-08
  • 录用日期:  2024-07-28
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