DOI: 10.1016/j.jag.2016.07.021
Scopus记录号: 2-s2.0-84997611224
论文题名: Analysis of the pattern of potential woody cover in Texas savanna
作者: Yang X ; , Crews K ; A ; , Yan B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 527
结束页码: 531
语种: 英语
英文关键词: MODIS VCF
; Nonlinear quantile regression
; Potential woody cover
; Texas savanna
; Woody plant encroachment
Scopus关键词: MODIS
; pattern recognition
; regression analysis
; savanna
; vegetation cover
; woody plant
; Texas
; United States
英文摘要: While woody plant encroachment has been observed worldwide in savannas and adversely affected the ecosystem structure and function, a thorough understanding of the nature of this phenomenon is urgently required for savanna management and restoration. Among others, potential woody cover (the maximum realizable woody cover that a given site can support), especially its variation over environment has huge implication on the encroachment management in particular, and on tree-grass interactions in general. This project was designed to explore the pattern of potential woody cover in Texas savanna, an ecosystem with a large rainfall gradient in west–east direction. Substantial random pixels were sampled across the study area from MODIS Vegetation Continuous Fields (VCF) tree cover layer (250 m). Since potential woody cover is suggested to be limited by water availability, a nonlinear 99th quantile regression was performed between the observed woody cover and mean annual precipitation (MAP) to model the pattern of potential woody cover. Research result suggests a segmented relationship between potential woody cover and MAP at MODIS scale. Potential biases as well as the practical and theoretical implications were discussed. Through this study, the hypothesis about the primary role of water availability in determining savanna woody cover was further confirmed in a relatively understudied US-located savanna. © 2016 Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80023
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Geography and the Environment, The University of Texas at Austin, Austin, TX, United States; Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX, United States
Recommended Citation:
Yang X,, Crews K,A,et al. Analysis of the pattern of potential woody cover in Texas savanna[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52