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Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus

机译:水和土地资源利用对农业碳排放的影响:水土能 - 碳Nexus

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摘要

Exploring the effect of water & land resource exploitation on agricultural carbon emissions helps explain agricultural "water-land-energy-carbon" (WLEC) nexus and improve the efficiency of agricultural water and land use. Based on the estimation of agricultural carbon emissions and provincial Matching Degree of Water and Land Resources (MDWL), this paper discussed the relationship between water & land resource exploitation and agricultural carbon emissions by Logarithmic Mean Divisia Index (LMDI) model, and put forward policy suggestions for the future low-carbon development of agriculture in China. The main conclusions are as follows: (1) The agricultural carbon emissions increased from 53.42 x 10(6)tC in 2005-65.12 x 10(6)tC in 2013, with an increasing rate of 21.89%. The carbon emission and its intensity have great spatial differences. (2) The MDWL of China fluctuated from 2005 to 2013, during which the MDWL in 2010 was the highest (1.56 x 10(6)m(3)/km(2)). It has huge spatial difference across China. Generally, the MDWL of southern and eastern provinces was higher than that of northern and western provinces. (3) The order of contributing effect of each factor on agricultural carbon emissions is: economic output of water resources the ratio of water and land resources population factor land use area per capita agricultural carbon emission intensity. In those factors, agricultural carbon emission intensity is the main inhibitory factor, while the economic output of water resources is the main contributing factor. (4) The ratio of water and land resources has different effect on agricultural carbon emissions in different provinces. Generally, the inhibitory effect was much higher in the provinces with high MDWL than that of provinces with relatively lower MDWL. (5) To improve agricultural energy efficiency and promote carbon emission reduction, the agricultural technology should be improved, and land consolidation, large-scale operation, water-saving irrigation and the fallow rotation system of crops should be adopted.
机译:探索水路资源利用对农业碳排放的影响有助于解释农业“水土能 - 碳”(WLEC)Nexus,提高农业用水和土地利用效率。基于农业碳排放和省级水路资源匹配程度(MDWL)的估计,讨论了对数均值划分指数(LMDI)模型的水与土地资源开发与农业碳排放的关系,提出了政策中国农业未来低碳发展的建议。主要结论如下:(1)2013年2005-65.12 x 10(6)吨至TC的53.42 x 10(6)吨,增长率增加了21.89%。碳排放及其强度具有很大的空间差异。 (2)中国的MDWL波动于2005年至2013年波动,在此期间,2010年的MDWL最高(1.56 x 10(6)米(3)/ km(2))。它对中国具有巨大的空间差异。一般来说,南部和东部省份的MDWL高于北部和西部省份。 (3)各因素对农业碳排放的贡献效果的秩序是:水资源的经济产量&水和土地资源的比例&人口因子&人均土地使用区&农业碳排放强度。在这些因素中,农业碳排放强度是主要抑制因素,而水资源的经济产量是主要贡献因素。 (4)水和土地资源的比例对不同省份的农业碳排放产生了不同的影响。通常,省份具有高于MDWL的省份的省份抑制效果远高于具有相对较低的MDWL的省份。 (5)为提高农业能源效率和促进碳排放减排,应采用农业技术,采用土地整理,大规模运行,节水灌溉和作物休耕旋转系统。

著录项

  • 来源
    《Land Use Policy》 |2018年第2018期|共13页
  • 作者单位

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    Zhengzhou Inst Aeronaut Ind Management Coll Civil Construct Engn Zhengzhou 450046 Henan Peoples R China;

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    Nanjing Univ Sch Geog &

    Oceanog Sci Nanjing 210023 Jiangsu Peoples R China;

    North China Univ Water Resources &

    Elect Power Sch Resources &

    Environm Zhengzhou 450046 Henan Peoples R China;

    Nanyang Nonnal Univ Collaborat Innovat Ctr Water Secur Water Source R Nanyang 473061 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土地经济学;
  • 关键词

    Agricultural carbon emission; Water resources; Land resources; Exploitation; China;

    机译:农业碳排放;水资源;土地资源;剥削;中国;

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