IMHE OpenIR  > 山地灾害与地表过程重点实验室
Spatial Autocorrelation Analysis of Multi-Scale Damaged Vegetation in the Wenchuan Earthquake-Affected Area, Southwest China
Li, Jian1,2; He, Jingwen1; Liu, Ying1; Wang, Daojie3; Rafay, Loretta4; Chen, Can1,2; Hong, Tao1,2; Fan, Hailan1,2; Lin, Yongming1,2
Corresponding AuthorLin, Yongming(000q131082@fafu.edu.cn)
2019-02-01
Source PublicationFORESTS
ISSN1999-4907
Volume10Issue:2Pages:21
AbstractMajor earthquakes can cause serious vegetation destruction in affected areas. However, little is known about the spatial patterns of damaged vegetation and its influencing factors. Elucidating the main influencing factors and finding out the key vegetation type to reflect spatial patterns of damaged vegetation are of great interest in order to improve the assessment of vegetation loss and the prediction of the spatial distribution of damaged vegetation caused by earthquakes. In this study, we used Moran's I correlograms to study the spatial autocorrelation of damaged vegetation and its potential driving factors in the nine worst-hit Wenchuan earthquake-affected cities and counties. Both dependent and independent variables showed a positive spatial autocorrelation but with great differences at four aggregation levels (625 x 625 m, 1250 x 1250 m, 2500 x 2500 m, and 5000 x 5000 m). Shrubs can represent the characteristics of all damaged vegetation due to the significant linear relationship between their Moran's I at the four aggregation levels. Clustering of similar high coverage of damaged vegetation occurred in the study area. The residuals of the standard linear regression model also show a significantly positive autocorrelation, indicating that the standard linear regression model cannot explain all the spatial patterns in damaged vegetation. Spatial autoregressive models without spatially autocorrelated residuals had the better goodness-of-fit to deal with damaged vegetation. The aggregation level 8 x 8 is a scale threshold for spatial autocorrelation. There are other environmental factors affecting vegetation destruction. Our study provides useful information for the countermeasures of vegetation protection and conservation, as well as the prediction of the spatial distribution of damaged vegetation, to improve vegetation restoration in earthquake-affected areas.
KeywordVegetation destruction Spatial autocorrelation Spatial autoregressive model Wenchuan earthquake Multi-scale
DOI10.3390/f10020195
Indexed BySCI
WOS KeywordCATASTROPHIC EARTHQUAKE ; RED HERRINGS ; LAND-USE ; LANDSLIDES ; RECOVERY ; RESTORATION ; DISTURBANCE ; IMPACTS ; HABITAT ; RIVER
Language英语
Funding ProjectNational Natural Science Foundation of China[41471010] ; National Natural Science Foundation of China[41201564] ; Excellent Youth Talents Foundation of Fujian Agriculture and Forestry University[xjq2017016] ; Scientific and Technological Innovation Foundation of Fujian Agriculture and Forestry University[CXZX2016058]
WOS Research AreaForestry
WOS SubjectForestry
WOS IDWOS:000460744000119
Funding OrganizationNational Natural Science Foundation of China ; Excellent Youth Talents Foundation of Fujian Agriculture and Forestry University ; Scientific and Technological Innovation Foundation of Fujian Agriculture and Forestry University
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/25318
Collection山地灾害与地表过程重点实验室
Corresponding AuthorLin, Yongming
Affiliation1.Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Fujian, Peoples R China
2.Key Lab Forest Ecosyst Proc & Management Fujian P, Fuzhou 350002, Fujian, Peoples R China
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
4.Antioch Univ Writers Exchange, Yellow Springs, OH 45387 USA
Recommended Citation
GB/T 7714
Li, Jian,He, Jingwen,Liu, Ying,et al. Spatial Autocorrelation Analysis of Multi-Scale Damaged Vegetation in the Wenchuan Earthquake-Affected Area, Southwest China[J]. FORESTS,2019,10(2):21.
APA Li, Jian.,He, Jingwen.,Liu, Ying.,Wang, Daojie.,Rafay, Loretta.,...&Lin, Yongming.(2019).Spatial Autocorrelation Analysis of Multi-Scale Damaged Vegetation in the Wenchuan Earthquake-Affected Area, Southwest China.FORESTS,10(2),21.
MLA Li, Jian,et al."Spatial Autocorrelation Analysis of Multi-Scale Damaged Vegetation in the Wenchuan Earthquake-Affected Area, Southwest China".FORESTS 10.2(2019):21.
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