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
查看参考文献33篇
文摘
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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. |
其他语种文摘
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Quantitative evaluation on the vegetation recovery after the earthquake is of great scientific significance for local ecological system rebuilding and regional social-economic sustainable development. 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 vegetation 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. |
来源
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应用生态学报
,2016,27(11):3479-3486 【核心库】
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DOI
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10.13287/j.1001-9332.201611.011
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关键词
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植被恢复
;
植被覆盖度
;
龙溪河
;
汶川地震
;
遥感
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地址
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1.
西北大学城市与环境学院, 中国科学院污染生态与环境工程重点实验室, 西安, 710127
2.
西北大学城市与环境学院, 西安, 710127
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
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1001-9332 |
学科
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植物学 |
基金
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国家自然科学基金
;
四川省科技计划项目
;
陕西省自然科学基础研究计划项目
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文献收藏号
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CSCD:5851375
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参考文献 共
33
共2页
|
1.
Cui P. Destruction of vegetation due to geo-hazards and its environmental impacts in the Wenchuan earthquake areas.
Ecological Engineering,2012,44:61-69
|
被引
16
次
|
|
|
|
2.
Cui X. Using remote sensing to quantify vegetation change and ecological resilience in a semi-arid system.
Land,2013,2:108-130
|
被引
3
次
|
|
|
|
3.
吴宁. 地震对山地生态系统的影响——以5.12汶川大地震为例.
生态学报,2008,28(12):5810-5819
|
被引
25
次
|
|
|
|
4.
Jiao Q. Assessment of spatiotemporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data.
Natural Hazards,2014,70:1309-1326
|
被引
4
次
|
|
|
|
5.
万红梅. 基于多源遥感数据的荒漠植被覆盖度估测.
应用生态学报,2012,23(12):3331-3337
|
被引
13
次
|
|
|
|
6.
Yang C. Chichi earthquake caused landslide: Grey prediction model for pioneer vegetation recovery monitored by satellite images.
Botanical Bulletin of Academia Sinica,2002,43:69-75
|
被引
2
次
|
|
|
|
7.
Lin C. Vegetation recovery assessment at the Jou-Jou Mountain landslide area caused by the 921 earthquake in Central Taiwan.
Ecological Modelling,2004,176:75-81
|
被引
1
次
|
|
|
|
8.
Lin W. Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan.
Forest Ecology and Management,2005,210:55-66
|
被引
2
次
|
|
|
|
9.
Lin W. Assessment of vegetation recovery and soil erosion at landslides caused by a catastrophic earthquake: A case study in Central Taiwan.
Ecological Engineering,2006,28:79-89
|
被引
2
次
|
|
|
|
10.
许积层. 基于NDVI监测5.12震后岷江河谷映秀汶川段滑坡体植被恢复.
植物研究,2012,32(6):750-755
|
被引
4
次
|
|
|
|
11.
吴春生. 基于TM遥感数据的汶川地震极重灾区生态恢复研究.
地球信息科学学报,2012,14(5):666-671
|
被引
6
次
|
|
|
|
12.
Yang C. The vegetation damage assessment of the Wenchuan earthquake of May 2008 using remote sensing and GIS.
Natural Hazards,2012,62:45-55
|
被引
2
次
|
|
|
|
13.
赵旦. 汶川地震灾后农田和森林植被恢复遥感监测.
遥感学报,2014,18(4):958-970
|
被引
12
次
|
|
|
|
14.
Ge Y. 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
|
被引
1
次
|
|
|
|
15.
Zhang H. Spatial analysis of Wenchuan earthquake-damaged vegetation in the mountainous basins and its applications.
Remote Sensing,2015,7:5785-5804
|
被引
2
次
|
|
|
|
16.
Leon J R R. Using MODISNDVI for the modeling of post-wildfire vegetation response as a function of environmental conditions and prefire restoration treatments.
Remote Sensing,2012,4:598-621
|
被引
5
次
|
|
|
|
17.
Gomes R. Combining spatial models for shallow landslides and debris - flows prediction.
Remote Sensing,2013,5:2219-2237
|
被引
5
次
|
|
|
|
18.
Tofani V. 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
|
被引
1
次
|
|
|
|
19.
Scaioni M. Remote sensing for landslide investigations: From research into practice.
Remote Sensing,2013,5:5488-5492
|
被引
3
次
|
|
|
|
20.
Jiang Z. Analysis of NDVI and scaled difference vegetation index retirevals of vegetation fraction.
Remote Sensing of Environment,2006,101:366-378
|
被引
22
次
|
|
|
|
|