Knowledge Management System Of Institute Of Botany,CAS
Comparison modeling for alpine vegetation distribution in an arid area | |
Zhou, Jihua1; Lai, Liming; Guan, Tianyu1; Cai, Wetao1; Gao, Nannan1; Zhang, Xiaolong1; Yang, Dawen2; Cong, Zhentao2; Zheng, Yuanrun | |
2016 | |
发表期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT |
ISSN | 0167-6369 |
卷号 | 188期号:7 |
摘要 | Mapping and modeling vegetation distribution are fundamental topics in vegetation ecology. With the rise of powerful new statistical techniques and GIS tools, the development of predictive vegetation distribution models has increased rapidly. However, modeling alpine vegetation with high accuracy in arid areas is still a challenge because of the complexity and heterogeneity of the environment. Here, we used a set of 70 variables from ASTER GDEM, WorldClim, and Landsat-8 OLI (land surface albedo and spectral vegetation indices) data with decision tree (DT), maximum likelihood classification (MLC), and random forest (RF) models to discriminate the eight vegetation groups and 19 vegetation formations in the upper reaches of the Heihe River Basin in the Qilian Mountains, northwest China. The combination of variables clearly discriminated vegetation groups but failed to discriminate vegetation formations. Different variable combinations performed differently in each type of model, but the most consistently important parameter in alpine vegetation modeling was elevation. The best RF model was more accurate for vegetation modeling compared with the DT and MLC models for this alpine region, with an overall accuracy of 75 % and a kappa coefficient of 0.64 verified against field point data and an overall accuracy of 65 % and a kappa of 0.52 verified against vegetation map data. The accuracy of regional vegetation modeling differed depending on the variable combinations and models, resulting in different classifications for specific vegetation groups. |
关键词 | Classification tree Random forest Landsat8 OLI Spectral vegetation indices Vegetation mapping Qilian Mountains |
学科领域 | Environmental Sciences |
DOI | 10.1007/s10661-016-5417-x |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | RANDOM FOREST CLASSIFICATION ; SPATIAL-DISTRIBUTION ; QILIAN MOUNTAINS ; THEMATIC MAPPER ; UPPER HEIHE ; LANDSAT TM ; VARIABLES ; IMAGERY ; DISCRIMINATION ; INTEGRATION |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000378840300025 |
出版者 | SPRINGER |
文献子类 | Article |
出版地 | DORDRECHT |
EISSN | 1573-2959 |
资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [91225302] |
作者邮箱 | zhengyr@ibcas.ac.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/25288 |
专题 | 中科院北方资源植物重点实验室 |
作者单位 | 1.Chinese Acad Sci, West China Subalpine Bot Garden, Inst Bot, Key Lab Resource Plants,Beijing Bot Garden, 20 Nanxincun, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Jihua,Lai, Liming,Guan, Tianyu,et al. Comparison modeling for alpine vegetation distribution in an arid area[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2016,188(7). |
APA | Zhou, Jihua.,Lai, Liming.,Guan, Tianyu.,Cai, Wetao.,Gao, Nannan.,...&Zheng, Yuanrun.(2016).Comparison modeling for alpine vegetation distribution in an arid area.ENVIRONMENTAL MONITORING AND ASSESSMENT,188(7). |
MLA | Zhou, Jihua,et al."Comparison modeling for alpine vegetation distribution in an arid area".ENVIRONMENTAL MONITORING AND ASSESSMENT 188.7(2016). |
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Zhou-2016-Comparison(787KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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