Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1093/jpe/rtw133 |
Accuracy of space-for-time substitution for vegetation state prediction following shrub restoration | |
Miao, Renhui1; Qiu, Xueli1; Guo, Meixia2; Musa, Ala2; Jiang, Deming2 | |
通讯作者 | Musa, Ala |
来源期刊 | JOURNAL OF PLANT ECOLOGY |
ISSN | 1752-9921 |
EISSN | 1752-993X |
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 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000427134100005 |
WOS关键词 | HORQIN SANDY LAND ; GRASSLAND RESTORATION ; CARAGANA-MICROPHYLLA ; INNER-MONGOLIA ; MICROBIOLOGICAL PROPERTIES ; COMMUNITY STABILITY ; GRAZING EXCLUSION ; SPECIES-DIVERSITY ; CLIMATE EXTREMES ; NORTHEAST CHINA |
WOS类目 | Plant Sciences ; Ecology |
WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/211229 |
作者单位 | 1.Henan Univ, Coll Life Sci, Int Joint Res Lab Global Change Ecol, Kaifeng 475004, Peoples R China; 2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R 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. |
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