汶川地震区灾后植被恢复时空过程及特征——以都江堰龙溪河流域为例

doi:10.13287/j.1001-9332.201611.011

应用生态学报 ›› 2016, Vol. 27 ›› Issue (11): 3479-3486.doi: 10.13287/j.1001-9332.201611.011

汶川地震区灾后植被恢复时空过程及特征——以都江堰龙溪河流域为例

李京忠^1,2,3, 曹明明¹, 邱海军¹, 薛冰³, 胡胜¹, 崔鹏^4*

¹西北大学城市与环境学院, 西安 710127;
²许昌学院城乡规划与园林学院, 河南许昌 461000;
³中国科学院沈阳应用生态研究所中国科学院污染生态与环境工程重点实验室, 沈阳 110016;
⁴中国科学院水利部成都山地灾害与环境研究所中国科学院山地灾害与地表过程重点实验室, 成都 610041

收稿日期:2016-04-01 出版日期:2016-11-18 发布日期:2016-11-18
通讯作者: E-mail: pengcui@imde.ac.cn
作者简介:李京忠,男,1978年生,博士研究生.主要从事遥感应用与环境计算研究.E-mail: zhong_lij@163.com
基金资助:
本文由国家自然科学基金项目(41471116,41401602)、四川省科技计划项目(2014SZ0163)和陕西省自然科学基础研究计划项目(2014JQ2-4021)资助

Spatial-temporal process and characteristics of vegetation recovery after Wenchuan earthquake: A case study in Longxi River basin of Dujiangyan, China.

LI Jing-zhong^1,2,3, CAO Ming-ming¹, QIU Hai-jun¹, XUE Bing³, HU Sheng¹, CUI Peng^4*

¹College of Urban and Environmental Science, Northwest University, Xi’an 710127, China;
²College of Urban Planning and Landscape Garden, Xuchang University, Xuchang 461000, Henan, China;
³Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
⁴Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

Received:2016-04-01 Online:2016-11-18 Published:2016-11-18
Contact: E-mail: pengcui@imde.ac.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41471116, 41401602), the Sichuan Science and Technology Project (2014SZ0163) and the Natural Science Basic Research Plan in Shaanxi Province of China (2014JQ2-4021).

摘要/Abstract

摘要： 定量评估地震区灾后植被恢复,对于灾区生态系统恢复重建及区域社会经济可持续发展规划具有重要科学意义.以都江堰龙溪河流域为案例区,采用MODIS-NDVI的时间序列数据,确定植被恢复评估的Landsat影像时间,并以Landsat影像定量揭示龙溪河流域植被在“5.12”汶川地震前后的动态变化;进而根据区域水系和地形因子,定量解析并揭示植被覆盖度受损恢复率的时空变化特征.结果表明:研究区植被覆盖受损恢复情况整体较好,但植被覆盖度对地震损害的响应存在滞后现象;受损植被恢复率与河流水系距离、海拔、坡度和坡向存在显著的相关性.本研究结果可为地震灾后植被恢复的决策干预提供技术支撑.

Abstract: Quantitative evaluation on the vegetation recovery after the earthquake is of great scienti-fic significance for local ecological system rebuilding and regional social-economic sustainable deve-lopment. By taking the Longxi River Basin in Dujiangyan of Sichuan Province as an example, and employing the MODIS-NDVI time-series data, this paper illustrated the dynamic changes of the ve-getation cover rates in Longxi River basin before and after the “5.12” Wenchuan Earthquake by using Landsat data, and then time-space characters of the recovery rates of the damaged vegetation was quantified structurally by referring the factors of river-system and terrain. The results showed that the recovery of impaired vegetation coverage worked well from a holistic point of view, but the response of vegetation coverage to earthquake disaster showed a lagging-phenomenon. The recovery rate of damaged vegetation was significantly correlated to its distance to surrounding river systems, elevation, slope degree, and slope aspect. This finding could provide technical supports for decision-makers to intervene the recovering process after earthquake.

李京忠, 曹明明, 邱海军, 薛冰, 胡胜, 崔鹏. 汶川地震区灾后植被恢复时空过程及特征——以都江堰龙溪河流域为例[J]. 应用生态学报, 2016, 27(11): 3479-3486.

LI Jing-zhong, CAO Ming-ming, QIU Hai-jun, XUE Bing, HU Sheng, CUI Peng. Spatial-temporal process and characteristics of vegetation recovery after Wenchuan earthquake: A case study in Longxi River basin of Dujiangyan, China.[J]. Chinese Journal of Applied Ecology, 2016, 27(11): 3479-3486.

参考文献

[1] Cui P, Lin Y, Chen C. Destruction of vegetation due to geo-hazards and its environmental impacts in the Wenchuan earthquake areas. Ecological Engineering, 2012, 44: 61-69
[2] Cui X, Gibbes C, Southworth J, et al. Using remote sensing to quantify vegetation change and ecological resilience in a semi-arid system. Land, 2013, 2: 108-130
[3] Wu N (吴宁), Lu T (卢涛), Luo P (罗鹏), et al. A review of the impacts of earthquake on mountain ecosystems: Taking 5.12 Wenchuan earthquake as an example. Acta Ecologica Sinica (生态学报), 2008, 28(12): 5810-5819 (in Chinese)
[4] Jiao Q, Zhang B, Liu L, et al. Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data. Natural Hazards, 2014, 70: 1309-1326
[5] Wan H-M (万红梅), Li X (李霞), Dong D-R (董道瑞). Estimation of desert vegetation coverage based on multi-source remote sensing data. Chinese Journal of Applied Ecology (应用生态学报), 2012, 23(12): 3331-3337 (in Chinese)
[6] Yang C, Chen J, Peng L, et al. Chichi earthquake caused landslide: Grey prediction model for pioneer vege-tation recovery monitored by satellite images. Botanical Bulletin of Academia Sinica, 2002, 43: 69-75
[7] Lin C, Lo H, Chou W, et al. Vegetation recovery assessment at the Jou-Jou Mountain landslide area caused by the 921 earthquake in Central Taiwan. Ecological Modelling, 2004, 176: 75-81
[8] Lin W, Chou W, Lin C, et al. Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan. Forest Ecology and Management, 2005, 210: 55-66
[9] Lin W, Lin C, Chou W. Assessment of vegetation reco-very and soil erosion at landslides caused by a catastro-phic earthquake: A case study in Central Taiwan. Ecological Engineering, 2006, 28: 79-89
[10] Xu J-C (许积层), Lu T (卢涛), Shi F-S (石福孙), et al. Monitoring the vegetation recovery at landslides along the Minjiang River Valley after 5.12 earthquake using NDVI: A case study of the Yingxiu-Wenchuan Section. Bulletin of Botanical Research (植物研究), 2012, 32(6): 750-755 (in Chinese)
[11] Wu C-S (吴春生), Wang W-J (王文杰), Liu X-F (刘孝富), et al. Research on ecological restoration in Wenchuan earthquake badly-damaged regions based on TM. Journal of Geo-information Science (地球信息科学学报), 2012, 14(5): 666-671 (in Chinese)
[12] Yang C, Ren X, Huang H. The vegetation damage assessment of the Wenchuan earthquake of May 2008 using remote sensing and GIS. Natural Hazards, 2012, 62: 45-55
[13] Zhao D (赵旦), Zhang M (张淼), Yu M-Z (于名召), et al. Monitoring agriculture and forestry reco-very after the Wenchuan earthquake. Journal of Remote Sensing (遥感学报), 2014, 18(4): 958-970 (in Chinese)
[14] Ge Y, Xu J, Liu Q, et al. image interpretation and statistical analysis of vegetation damage caused by the Wenchuang earthquake and related secondary disasters. Journal of Applied Remote Sensing, 2009, 3: 1-19
[15] Zhang H, Chi T, Fan J, et al. Spatial analysis of Wenchuan earthquake-damaged vegetation in the mountainous basins and its applications. Remote Sensing, 2015,7: 5785-5804
[16] Leon JRR, Leeuwen WJD, Casady GM. Using MODIS-NDVI for the modeling of post-wildfire vegetation response as a function of environmental conditions and pre-fire restoration treatments. Remote Sensing, 2012, 4: 598-621
[17] Gomes R, Guimarães R, Júnior O, et al. Combining spatial models for shallow landslides and debris-flows prediction. Remote Sensing, 2013, 5: 2219-2237
[18] Tofani V, Del Ventisette C, Moretti S, et al. Integration of remote sensing techniques for intensity zonation within a landslide area: A case study in the northern Apennines, Italy. Remote Sensing, 2014, 6: 907-924
[19] Scaioni M. Remote sensing for landslide investigations: From research into practice. Remote Sensing, 2013, 5: 5488-5492
[20] Jiang Z, Huete A, Chen J, et al. Analysis of NDVI and scaled difference vegetation index retirevals of vegetation fraction. Remote Sensing of Environment, 2006, 101: 366-378
[21] Li J, Liu Y, Cao M, et al. Space-time characteristics of vegetation cover and distribution: Case of the Henan Province in China. Sustainability, 2015, 7: 11967-11979
[22] Masoud A, Koike K. Relationship between remotely sensed vegetation change and fracture zones induced by the 2008 Wenchuan earthquake, China. Journal of Earth Science, 2013, 24: 282-296
[23] Li M-M (李苗苗), Wu B-F (吴炳方), Yan C-Z (颜长珍), et al. Estimation of vegetation fraction in the upper basin of Miyun Reservoir by remote sensing. Resources Science (资源科学), 2004, 26(4): 153-159 (in Chinese)
[24] Liao Q-F (廖清飞), Zhang X (张鑫), Ma Q (马全), et al. Spatiotemporal variation of fractional vegetation cover and remote sensing monitoring in the eastern agricultural region of Qinghai Province. Acta Ecologica Sinica (生态学报), 2014, 34(20): 5936-5943 (in Chinese)
[25] Fan J-Z (范建忠), Li D-K (李登科), Dong J-F (董金芳). Remote sensing analysis of vegetation restoration in key ecological construction areasof Shaanxi Province. Transactions of the Chinese Society of Agricultural Engeering (农业工程学报), 2012, 28(7): 228-234 (in Chinese)
[26] Niu T (牛婷). Quantitative Evaluation of Vegetation Restore in the Lower Reach of Tarim River Using Remote Sensing Data. PhD Thesis. Urumqi: Xinjiang Agricultural University, 2014 (in Chinese)
[27] Li Y (李杨). Research on Interaction Mechanism of Hydrology-Soil-Vegetation and Vegetation Restoration in Aquatic-terrestrial Ecotone, Li River. PhD Thesis. Beijing: Beijing Forestry University, 2014 (in Chinese)
[28] Hou P (侯鹏), Wang Q (王桥), Fang Z (房志), et al. Satellite-based monitoring and appraising vegetation growth in national key regions of ecological protection. Acta Ecologica Sinica (生态学报), 2013, 33(3): 780-788 (in Chinese)
[29] Jiang Z-L (江振蓝), Jing C-W (荆长伟), Li D (李丹), et al. Dynamics of vegetation and its responses to terrain factors with Mann-Kendall approach: A case study in Tiaoxi watershed, Taihu Lake. Journal of Zhejiang University (Agriculture and Life Sciences) (浙江大学学报:农业与生命科学版), 2011, 37(6): 684-692 (in Chinese)
[30] Li D-K (李登科), Fan J-Z (范建忠), Quan W-T (权文婷). Analysis of vegetation degradation and its driving factors in Shaanxi Province. Chinese Journal of Ecology (生态学杂志), 2015, 34(10): 2907-2913 (in Chinese)
[31] Fu B (傅斌), Xu P (徐佩), Wang Y-K (王玉宽), et al. Spatial pattern of water retention in Dujiangyan County. Acta Ecologica Sinica (生态学报), 2013, 33(3): 789-797 (in Chinese)
[32] Hu Z-C (胡志超), Li Z-H (李政海), Zhou Y-L (周延林), et al. The partitioning of degradation and analysis of its spatio-temporal pattern of Hulunbeier Grassland, China. Chinese Journal of Grassland (中国草地学报), 2014, 36(5): 12-18 (in Chinese)
[33] Song G-H (宋国虎). Study the Rainfall Infiltration and Runoff in Wenchuan Earthquake Zone. Master Thesis. Chengdu: Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 2013 (in Chinese)

汶川地震区灾后植被恢复时空过程及特征——以都江堰龙溪河流域为例

Spatial-temporal process and characteristics of vegetation recovery after Wenchuan earthquake: A case study in Longxi River basin of Dujiangyan, China.

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