长江流域资源与环境 >> 2014, Vol. 23 >> Issue (05): 735-.doi: 10.11870/cjlyzyyhj201405020

• 生态环境 • 上一篇    

岷江上游植被在汶川地震中的损毁及灾后恢复状况

田雨,方自力,谢强,潘红丽,刘兴良   

  1. (1.四川省环境保护科学研究院,四川 成都 610041;2.四川省林业科学研究院,四川 成都 610081)
  • 出版日期:2014-05-20

STUDY ON RELATIONSHIP BETWEEN PLANTING INDUSTRY CARBON EMISSIONS AND ITS INDUSTRY DEVELOPMENT IN CHINA

TIAN Yun1,2, ZHANGJunbiao1,2, FWNG Junhui1,2   

  1. (1.College of Economics & Management, Huazhong Agricultural University, Wuhan,430070;2.Hubei Rural Development Research Center of Huazhong Agricultural University,Wuhan,430070
  • Online:2014-05-20

摘要:

岷江上游是四川盆地和长江干流的重要生态屏障,其植被资源在汶川地震中遭受了严重破坏。以震前(2006年)和震后(2008年和2010年)的遥感影像数据为基础,研究了该区域植被在地震中的受损情况及灾后恢复状况。研究表明:受地震影响,岷江上游森林、灌木、草地和荒漠植被面积在2006~2008年分别下降23 124、15 409、7 482  和2 656 hm2,降幅依次为273%、253%、104%和412%,而沼泽面积变化不大;经过灾后恢复,森林、灌木、草地和荒漠植被面积在2008~2010年分别恢复12 104、21 283、10 554 和2 847 hm2,分别占受损面积的52%、138%、141%和107%,而沼泽面积变化依然不大。植被的这些变化对区域的生态服务功能产生了深远影响。对合理开发利用区域资源、妥善处理经济建设和生态环境保护矛盾以及科学保障长江流域的生态安全都具有一定的指导意义

Abstract:

Carbon emissions from planting industry in China during the period of 1992-2010 as well as those of 31 provinces in 2010 were first estimated in this study. Based on the estimation, to explore the relationship between planting industry development and its carbon emissions, some econometric methods, such as the sequence stationary test, cointegration test, were applied into the analysis of the relevant data of planting industry development and planting industry carbon emissions in China during the period of 1992-2010. The results showed that: (1)Planting industry carbon emissions in the year of 2010 was 183668 4 million tons, showing an increase of 3562% compared to 1992. Carbon emissions caused by agricultural material inputs, paddy fields and soil accounted for 5326%, 3492% and 1182% of the total, respectively. There existed obvious regional difference. The top ten regions accounted for 6297% of the total planting industry carbon emissions, while the last ten regions accounted for only 718%. And the planting industry carbon emission intensity of Jiangxi province was the highest, reaching as high as 1 19786 kilograms per ten thousand Yuan value of planting industrial output, while Beijing was the lowest, as low as 21986 kilograms per ten thousand Yuan value of planting industrial output. (2)There existed cointegration relationship between planting industry development and planting industry carbon emissions, suggesting a longterm equilibrium relationship. The planting industry development by 1% leads to an increase of 0413 5% of planting industry carbon emissions, resulted in that the longterm elasticity of planting industry carbon emissions for planting industry development was 0413 5. According to the shortterm error correction model, the shortterm elasticity of planting industry carbon emissions for planting industry development was 0641 7, and a dynamic adjustment mechanism existed between them. The error correction coefficient (-0423 4) was negative, in line with the reverse correction mechanism. With the existence of shortterm deviation of planting industry carbon emissions from the longrun equilibrium, 4234 % of shortterm deviation will be adjusted in order to achieve equilibrium in long term, while longterm deviation of planting industry development cannot be adjusted by system factors except external force. (3)The Granger causality test showed that planting industry development and planting industry carbon emissions were reciprocal causation relationship. There respectively existed unidirectional causal relationship of planting industry development to planting industry carbon emissions at the lag length of 1, and unidirectional causal relationship of planting industry carbon emissions to the planting industry development at the lag length of 2. At the lag length of 3, there was a twoway causal relationship between planting industry development and planting industry carbon emissions. Therefore, it can be broadly considered that planting industry development and planting industry carbon emissions are mutually reinforcing. (4)The analysis of impulse response function showed a weak response of planting industry development to a standard shock of planting industry carbon emissions, and a more intense reaction of planting industry carbon emissions to a standard shock of planting industry development. 3757 % of the change in planting industry carbon emissions could be explained by the impact of planting industry development while only 680 % of planting industry development could be explained by the increase in planting industry carbon emissions

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 李 娜,许有鹏, 陈 爽. 苏州城市化进程对降雨特征影响分析[J]. 长江流域资源与环境, 2006, 15(3): 335 -339 .
[2] 孙维侠, 赵永存, 黄 标, 廖菁菁, 王志刚, 王洪杰. 长三角典型地区土壤环境中Se的空间变异特征及其与人类健康的关系[J]. 长江流域资源与环境, 2008, 17(1): 113 .
[3] 时连强,李九发,应 铭,左书华,徐海根. 长江口没冒沙演变过程及其对水库工程的响应[J]. 长江流域资源与环境, 2006, 15(4): 458 -464 .
[4] 张代钧,许丹宇,任宏洋,曹海彬,郑 敏,刘惠强. 长江三峡水库水污染控制若干问题[J]. 长江流域资源与环境, 2005, 14(5): 605 -610 .
[5] 王肇磊, 贺新枝. 晚清时期湖北自然灾害的治理及其经验教训[J]. 长江流域资源与环境, 2009, 18(11): 1080 .
[6] 韦 杰, 贺秀斌. 人类活动对嘉陵江流域泥沙负荷的影响[J]. 长江流域资源与环境, 2010, 19(2): 196 .
[7] 彭 峰. 国际法与比较法视野中的水权研究[J]. 长江流域资源与环境, 2010, 19(03): 287 .
[8] 郑建蕊| 蒋卫国, 周廷刚, 侯鹏, 李雪. 洞庭湖区湿地景观指数选取与格局分析[J]. 长江流域资源与环境, 2010, 19(03): 305 .
[9] 黄, 薇, 陈 进, 王 波. 梯级开发对河流径流过程和水温过程均化作用的研究[J]. 长江流域资源与环境, 2010, 19(03): 335 .
[10] 罗秉征. 河口及近海的生态特点与渔业资源[J]. 长江流域资源与环境, 1992, 1(1): 4 .