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贵州省喀斯特不同土地利用方式碳排放和碳足迹生态效应

  • 宋山梅 ,
  • 向俊峰
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  • 贵州大学 管理学院,贵阳 550025
宋山梅(1963-),女,贵州册亨人,教授,研究方向:农林经济管理。Email: Shanmei_songGZ@163.com

收稿日期: 2018-09-11

  修回日期: 2018-11-06

  网络出版日期: 2020-09-27

基金资助

贵州省科技计划项目(黔科合支撑[2016]2610号);贵州省教育厅高等学校人文社会科学研究项目“投融资模式改革与乡村振兴金融支持研究——以贵州省为例”(2018jd012);2017年度贵州省国内一流学科大数据科学与技术学科群建设项目“2018年度贵州大学管理学院大数据管理创新理论方法及其应用”(GNYL[2017]005)

Effects of Land Use on Carbon Emission and Carbon Footprint in Karst Area of Guizhou

  • Shanmei SONG ,
  • Junfeng XIANG
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  • School of Management,Guizhou Uiniversity,Guiyang 550025,China

Received date: 2018-09-11

  Revised date: 2018-11-06

  Online published: 2020-09-27

摘要

研究了贵州省2006—2016年不同土地利用方式的碳排放效应。结果表明:1)贵州省2006—2016年土地利用结构信息熵和均衡度呈现上升趋势。2)碳排放总量总体呈增长趋势,其中,建设用地是主要碳源,林地是主要碳汇。3)碳吸收呈逐年增长的趋势,林地、草地的碳吸收总量趋于上升,但保持相对稳定趋势。4)碳排放强度总体呈下降趋势,由2006年的2.65t/万元下降到2016年的1.23t/万元。而碳排放强度下降率远小于GDP增长率,远远不能实现碳排放的绝对减排。5)生态承载力呈增加趋势,但远远不及总碳足迹的增加速度,生态赤字随着总碳足迹的增加逐年增加,说明贵州省自身的生态系统不足以补偿能源消费的碳排放;从不同能源消费碳足迹来看,煤炭能源碳足迹远远大于石油和天然气碳足迹,说明以煤炭为主的能源消费会带来更大的总碳足迹。6)碳排放量存在显著的年际变化,人均碳排放逐年增加,主要是由于净碳排放量的逐年增加,耕地、林地、草地和建设用地碳排放均呈增加趋势,以建设用地碳排放量为主。

本文引用格式

宋山梅 , 向俊峰 . 贵州省喀斯特不同土地利用方式碳排放和碳足迹生态效应[J]. 林草资源研究, 2018 , 0(6) : 57 -63 . DOI: 10.13466/j.cnki.lyzygl.2018.06.010

Abstract

Based on the statistic area data of land utilization and energy consumption from 2006 to 2016 in Guizhou Province,we analyzed the effects of land uses on carbon emission and carbon footprint in Guizhou province.The conclusion could be drawn as follows:(1) The information entropy and equilibrium degree of land use structure showed an increase trend,indicating that the land use structure of Guizhou Province is becoming more and more balanced,the heterogeneity is enhanced,and the land use system evolves to a relatively disorderly state.(2) The carbon emission gradually increased from 2006 to 2016,and construction land is the main carbon source,while woodland is the main carbon sink.(3) Carbon absorption gradually decreased from 2006 to 2016,and the total amount of carbon absorbed by forest land and grassland remains relatively stable.(4) Carbon emission intensity gradually decreased from 2006 (2.65 t/ten thousand yuan) to 2016 (1.23 t/ten thousand yuan),while less than GDP growth rate.(5) The area of forest and grassland increased from 2006 to 2016,and the ecological carrying capacity generally increased,but it is far from the increase speed of the total carbon footprint.The ecological deficit increased with the increase of the total carbon footprint year by year,indicating that Guizhou's own ecosystem is not enough to compensate for the carbon emissions of energy consumption.In terms of the carbon footprint of different energy consumption,the carbon footprint of coal energy is far larger than that of oil and gas,indicating that the energy consumption dominated by coal will bring a larger total carbon footprint.(6) There is a significant annual change in the carbon emissions,with the per capita carbon emissions increasing year by year,mainly due to the annual increase of net carbon emissions,and the carbon emissions of cultivated land,woodland,grassland and construction land all show an increasing trend,mainly for the carbon emissions of construction land.

参考文献

[1] Smith P, House J I, Bustamante M, et al. Global change pressures on soils from land use and management[J]. Global Change Biology, 2016,22(3):1008-1028.
[2] Newbold T, Hudson L N, Hill S L L, et al. Global effects of land use on local terrestrial biodiversity[J]. Nature, 2015,520(7545):45.
[3] Alexander P, Rounsevell M D A, Dislich C, et al. Drivers for global agricultural land use change:the nexus of diet,population,yield and bioenergy[J]. Global Environmental Change, 2015,35:138-147.
[4] Williams A G, Dominguez H, Leinonen I. A simple approach to land use change emissions for global crop commodities reflecting demand [C]//Proc.of the 9th Int.Conf.San Francisco:on Life Cycle Assessment in the Agri-Food Sector, 2014: 8-10.
[5] Di Minin E, Slotow R, Hunter L T B, et al. Global priorities for national carnivore conservation under land use change[J]. Scientific Reports, 2016,6:23814.
[6] Jantz S M, Barker B, Brooks T M, et al. Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation[J]. Conservation Biology, 2015,29(4):1122-1131.
[7] Tubiello F N, Salvatore M, Ferrara A F, et al. The contribution of agriculture,forestry and other land use activities to global warming,1990—2012[J]. Global change biology, 2015,21(7):2655-2660.
[8] Borrelli P, Robinson D A, Fleischer L R, et al. An assessment of the global impact of 21st century land use change on soil erosion[J]. Nature communications, 2017,8(1):2013.
[9] Devaraju N, Bala G, Caldeira K, et al. A model based investigation of the relative importance of CO2-fertilization,climate warming,nitrogen deposition and land use change on the global terrestrial carbon uptake in the historical period[J]. Climate dynamics, 2016,47(1/2):173-190.
[10] Rawat J S, Kumar M. Monitoring land use/cover change using remote sensing and GIS techniques:A case study of Hawalbagh block,district Almora,Uttarakhand,India[J]. The Egyptian Journal of Remote Sensing and Space Science, 2015,18(1):77-84.
[11] 顾凯平, 张坤, 张丽霞. 森林碳汇计量方法的研究[J]. 南京林业大学学报:自然科學版, 2008,32(5):105-109.
[12] 朴世龙, 方精云, 贺金生, 等. 中国草地植被生物量及其空间分布格局[J]. 植物生态学报, 2004,28(4):49-498.
[13] 刘纪远, 王绍强, 陈镜明, 等. 1990—2000 年中国土壤碳氮蓄积量与土地利用变化[J]. 2004,59(4):483-496.
[14] 王义祥, 翁伯琦, 黄毅斌. 土地利用和覆被变化对土壤碳库和碳循环的影响[J]. 亚热带农业研究, 2005,1(3):44-51.
[15] 葛全胜, 戴君虎, 何凡能, 等. 过去300年中国土地利用土地覆被变化与碳循环研究[J]. 中国科学:D辑地球科学, 2008,38(2):197-210.
[16] 李颖, 黄贤金, 甄峰. 江苏省区域不同土地利用方式的碳排放效应分析[J]. 农业工程学报, 2008 (S2):102-107.
[17] 姚岚, 吴次芳, 陆张维. 喀斯特地区城镇化质量与土地利用系统健康协同演化关系研究[J]. 长江流域资源与环境, 2018,27(4):768.
[18] 姚岚, 吴次芳, 吕添贵, 等. 基于三角模型的喀斯特地区土地利用系统健康评价[J]. 农业工程学报, 2015,31(14):246-254.
[19] 胡金龙, 周志翔, 滕明君, 等. 基于土地利用变化的典型喀斯特流域生态风险评估——以漓江流域为例[J]. 应用生态学报, 2017,28(6):2003-2012.
[20] 赵荣钦, 陈志刚, 黄贤金, 等. 南京大学土地利用碳排放研究进展[J]. 地理科学, 2016,32(12):1473-1480.
[21] 王安静, 冯宗宪, 孟渤. 中国30省份的碳排放测算以及碳转移研究[J]. 数量经济技术经济研究, 2017,34(8):89-104.
[22] 邓吉祥, 刘晓, 王铮. 中国碳排放的区域差异及演变特征分析与因素分解[J]. 自然资源学报, 2014,29(2):189-200.
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