Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s40333-015-0016-1 |
Investigating natural drivers of vegetation coverage variation using MODIS imagery in Qinghai, China | |
Zhou Lei1; Lyu Aifeng2 | |
通讯作者 | Lyu Aifeng |
来源期刊 | JOURNAL OF ARID LAND |
ISSN | 1674-6767 |
EISSN | 2194-7783 |
出版年 | 2016 |
卷号 | 8期号:1页码:109-124 |
英文摘要 | The climatically sensitive Qinghai province of China has been recognized as a hotspot for studies on the feedbacks of terrestrial ecosystems to global climate change. Thus, investigating vegetation coverage and its natural drivers in Qinghai is an important focus of ecosystem research. On the basis of Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) time series data, we estimated the vegetation coverage in this region using the dimidiate pixel model. Trend analyses, correlations between meteorological parameters, changes in vegetation coverage, and the temporal and spatial relationships between soil texture and vegetation coverage were used to investigate the possible drivers of vegetation coverage variations. The results indicated that the reduction of vegetation coverage slowed down in the period from 2000 to 2012. Annual mean temperature was the main climatic driver of the total extremely low and low vegetation coverage areas in Qinghai, followed by the precipitation anomalies. The extremely low and low vegetation coverage areas were mainly distributed in regions with a mean annual relative air humidity of < 40% and the spatial distributions of these two area types differentiated along the 200-mm rainfall contours. The total extremely low and low vegetation coverage areas were mainly characterized by sandy clay loam soil, followed by loamy sand and sandy soil. Regions with sandy loam or loam soil have the greatest risk of vegetation coverage reductions. Knowledge of vegetation coverage variation and its natural drivers in the ecologically fragile region of Qinghai can provide scientific support for managing environmental change and desertification. |
英文关键词 | vegetation coverage remote sensing MODIS climate change |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000365032100009 |
WOS关键词 | DESERTIFICATION ; VARIABILITY ; DYNAMICS ; LAND ; DROUGHT ; CLIMATE ; DERIVATION ; SOIL |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 中国科学院地理科学与资源研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/194173 |
作者单位 | 1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou Lei,Lyu Aifeng. Investigating natural drivers of vegetation coverage variation using MODIS imagery in Qinghai, China[J]. 中国科学院地理科学与资源研究所,2016,8(1):109-124. |
APA | Zhou Lei,&Lyu Aifeng.(2016).Investigating natural drivers of vegetation coverage variation using MODIS imagery in Qinghai, China.JOURNAL OF ARID LAND,8(1),109-124. |
MLA | Zhou Lei,et al."Investigating natural drivers of vegetation coverage variation using MODIS imagery in Qinghai, China".JOURNAL OF ARID LAND 8.1(2016):109-124. |
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