Spatially-explicit modelling of grassland classes - an improved method of integrating a climate-based classification model with interpolated climate surfaces

doi:10.1071/RJ13103

LZUFE-KMS > 艺术学院

	Spatially-explicit modelling of grassland classes - an improved method of integrating a climate-based classification model with interpolated climate surfaces
	Liu, Xiaoni ; Wang, Hongxia ; Guo, Jing; Wei, Jingqiong ; Ren, Zhengchao ; Zhang, Jinglan ; Zhang, Degang ; Pan, Dongrong ; Wang, Fengping
	2014
发表期刊	RANGELAND JOURNAL
卷号	36 期号:2 页码:175-183
摘要	Spatially-explicit modelling of grassland classes is important to site-specific planning for improving grassland and environmental management over large areas. In this study, a climate-based grassland classification model, the Comprehensive and Sequential Classification System (CSCS) was integrated with spatially interpolated climate data to classify grassland in Gansu province, China. The study area is characterised by complex topographic features imposed by plateaus, high mountains, basins and deserts. To improve the quality of the interpolated climate data and the quality of the spatial classification over this complex topography, three linear regression methods, namely an analytic method based on multiple regression and residues (AMMRR), a modification of the AMMRR method through adding the effect of slope and aspect to the interpolation analysis (M-AMMRR) and a method which replaces the inverse distance-weighted approach for residue interpolation in M-AMMRR with an ordinary kriging approach (I-AMMRR), for interpolating climate variables were evaluated. The interpolation outcomes from the best interpolation method were then used in the CSCS model to classify the grassland in the study area. Climate variables interpolated included the annual cumulative temperature and annual total precipitation. The results indicated that the AMMRR and M-AMMRR methods generated acceptable climate surfaces but the best model fit and cross validation result were achieved by the I-AMMRR method. Twenty-six grassland classes were classified for the study area. The four grassland vegetation classes that covered more than half of the total study area were 'cool temperate-arid temperate zonal semi-desert', 'cool temperate-humid forest steppe and deciduous broad-leaved forest', 'temperate-extra-arid temperate zonal desert', and 'frigid per-humid rain tundra and alpine meadow'. The vegetation classification map generated in this study provides spatial information on the locations and extents of the different grassland classes. This information can be used to facilitate government agencies' decision-making in land-use planning and environmental management, and for vegetation and biodiversity conservation. The information can also be used to assist land managers in the estimation of safe carrying capacities, which will help to prevent overgrazing and land degradation.
关键词	AMMRR, CSCS, GIS, grassland classification, interpolation method, spatial climate variables.
DOI	10.1071/RJ13103
收录类别	SCI ; SCOPUS ; SCIE
ISSN	1036-9872
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology
WOS记录号	WOS:000333740900007
出版者	CSIRO PUBLISHING
原始文献类型	Article
EISSN	1834-7541
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/2235
专题	艺术学院
作者单位	1.Gansu Agr Univ, Minist Educ, Key Lab Grassland Ecol Syst, Lanzhou 730070, Peoples R China; 2.Gansu Agr Univ, Coll Grassland Sci, Lanzhou 730070, Peoples R China; 3.Queensland Univ Technol, Fac Sci & Engn, Brisbane, Qld 4001, Australia; 4.Lanzhou Univ Finance & Econ, Lanzhou 730020, Peoples R China; 5.Cent Stn Popularising Grassland Tech Gansu Prov, Lanzhou 730020, Peoples R China
推荐引用方式 GB/T 7714	Liu, Xiaoni,Wang, Hongxia,Guo, Jing,et al. Spatially-explicit modelling of grassland classes - an improved method of integrating a climate-based classification model with interpolated climate surfaces[J]. RANGELAND JOURNAL,2014,36(2):175-183.
APA	Liu, Xiaoni.,Wang, Hongxia.,Guo, Jing.,Wei, Jingqiong.,Ren, Zhengchao.,...&Wang, Fengping.(2014).Spatially-explicit modelling of grassland classes - an improved method of integrating a climate-based classification model with interpolated climate surfaces.RANGELAND JOURNAL,36(2),175-183.
MLA	Liu, Xiaoni,et al."Spatially-explicit modelling of grassland classes - an improved method of integrating a climate-based classification model with interpolated climate surfaces".RANGELAND JOURNAL 36.2(2014):175-183.