干旱区生态环境知识资源中心(Arid): Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration

Arid

	Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration
	Miao Renhui; Qiu Xueli; Guo Meixia; Musa Ala; Jiang Deming
来源期刊	Journal of Plant Ecology
ISSN	1752-9921
出版年	2018
卷号	11 期号:2 页码:208-217
英文摘要	Aims: Space-for-time substitution (SFT) is often used for vegetation status estimation during the recovery process of deserts. However, the evaluated accuracy of SFT remains uncertain. An eight-year located observation was used to assess the validity of SFT for vegetation state prediction. Methods: This study analyzed a chronosequence of Caragana microphylla Lam. plantings using the located observation method to test the accuracy of SFT for vegetation state prediction in the mobile sand dunes of the Horqin Sandy Land in northeastern China from July 2005 to June 2013. Important Findings: According to SFT, simple vegetation parameters (density, coverage and biomass) were found to be unstable, while sophisticated vegetation parameters (species diversity and evenness) were relatively stable across the experimental treatments during the study period. Conversely, both the simple and sophisticated parameters were found to be relatively stable when tested using the located observation method. Furthermore, most simple vegetation parameters slightly increased, while sophisticated parameters slightly decreased after eight years of field observations. Thus, long-term restoration management facilitated improvements in the simple parameters, but may have adversely impacted the sophisticated parameters in the post-restoration community. Our results suggest that sophisticated vegetation parameter states can be predicted by SFT, while simple vegetation parameter states are not well predicted by SFT. In conclusion, located observations or other effective evaluation methods must be employed to offset the deficiency of the SFT method for the prediction of vegetation parameters.
英文关键词	community structure desertification location observation restoration stability
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Life Sciences & Biomedicine - Other Topics
CSCD记录号	CSCD:6217360
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335938
作者单位	Miao Renhui, International Joint Research Laboratory for Global Change Ecology, College of Life Sciences, Henan University, Kaifeng, Henan 475004, China.; Qiu Xueli, International Joint Research Laboratory for Global Change Ecology, College of Life Sciences, Henan University, Kaifeng, Henan 475004, China.; Guo Meixia, Graduate School of the Chinese Academy of Sciences, Beijing 100049, China.; Musa Ala, Graduate School of the Chinese Academy of Sciences, Beijing 100049, China.; Jiang Deming, Graduate School of the Chinese Academy of Sciences, Beijing 100049, China.
推荐引用方式 GB/T 7714	Miao Renhui,Qiu Xueli,Guo Meixia,et al. Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration[J],2018,11(2):208-217.
APA	Miao Renhui,Qiu Xueli,Guo Meixia,Musa Ala,&Jiang Deming.(2018).Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration.Journal of Plant Ecology,11(2),208-217.
MLA	Miao Renhui,et al."Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration".Journal of Plant Ecology 11.2(2018):208-217.