Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.09.010 |
Analyzing urban forest coverage variation in Guangzhou-Foshan region using factorial analysis based multivariate statistical prediction models | |
Wang, J.1,2; Li, Y. P.1,3; Sun, J.1,2; Lin, Y. T.1,2 | |
2019-01-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 432页码:121-131 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Canada |
英文摘要 | In this study, factorial analysis based multivariate statistical prediction (FAMSP) models are developed to analyze the variation of urban forest coverage area (FCA). Through incorporating techniques of multivariate linear regression (MLR), multivariate quantile regression (MQR), stepwise cluster analysis (SCA), and support vector machine (SVM) within factorial analysis framework, four FAMSP models are advanced. The developed models have advantages in reflecting the complex relationships (e.g., linear/nonlinear and/or continuous/discrete) among urban FCA, human activity, and natural factors. Factorial analysis is used for exploring the interactions among multiple factors on FCA variation. The FAMSP models are also applied to Guangzhou-Foshan region for illustrating their applicabilities in FCA variation analysis. Results reveal that different multivariate statistical prediction methods lead to different performances for FCA variation. SCA and SVM can get more satisfactory performances than MLR and MQR due to their superior ability in characterizing the nonlinear features of FCA variation. Population is one of the key drivers for FCA variation due to its high sensitivity to timber consumption and stock; population would affect the regional climatological condition (e.g., precipitation), which consequently alters forest growth. The factors of Guangzhou would primarily impact regional FCA variation due to its higher population and higher timber demand than those in Foshan. These findings are helpful for the urban forest sustainable development and timber resources management. |
英文关键词 | Factorial analysis Forest coverage area Human activity Interaction Multivariate statistical prediction |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000455068700103 |
WOS关键词 | STEPWISE CLUSTER-ANALYSIS ; SUPPORT VECTOR MACHINE ; PARAMETER UNCERTAINTY ; DYNAMICS ; SYSTEMS ; WATER |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22399 |
专题 | 气候变化 |
作者单位 | 1.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China; 2.North China Elect Power Univ, Sina Canada Energy & Environm Res Ctr, Beijing 102206, Peoples R China; 3.Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 7H9, Canada |
推荐引用方式 GB/T 7714 | Wang, J.,Li, Y. P.,Sun, J.,et al. Analyzing urban forest coverage variation in Guangzhou-Foshan region using factorial analysis based multivariate statistical prediction models[J]. FOREST ECOLOGY AND MANAGEMENT,2019,432:121-131. |
APA | Wang, J.,Li, Y. P.,Sun, J.,&Lin, Y. T..(2019).Analyzing urban forest coverage variation in Guangzhou-Foshan region using factorial analysis based multivariate statistical prediction models.FOREST ECOLOGY AND MANAGEMENT,432,121-131. |
MLA | Wang, J.,et al."Analyzing urban forest coverage variation in Guangzhou-Foshan region using factorial analysis based multivariate statistical prediction models".FOREST ECOLOGY AND MANAGEMENT 432(2019):121-131. |
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