中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Climatic Changes Dominant Interannual Trend in Net Primary Productivity of Alpine Vulnerable Ecosystems

文献类型:期刊论文

作者Yang Yihan2; Wang Junbang2; Liu Peng3; Lu Guangxin1; Li Yingnian4
刊名Journal of Resources and Ecology
出版日期2019
卷号10期号:4页码:379
关键词三江源 草地 净初级生产力 气温 降水
ISSN号1674-764X
英文摘要The Three-River Headwaters(TRH), which is the source area of Yangtze River, Yellow River and Lancang River, is vulnerable and sensitive, and its alpine ecosystem is considered an important barrier for China's ecological security. Understanding the impact of climate changes is essential for determining suitable measures for ecological environmental protection and restoration against the background of global climatic changes. However, different explanations of the interannual trends in complex alpine ecosystems have been proposed due to limited availability of reliable data and the uncertainty of the model itself. In this study, the remote sensing-process coupled model(GLOPEM-CEVSA) was used to estimate the net primary productivity(NPP) of vegetation in the TRH region from 2000 to 2012. The estimated NPP significantly and linearly correlated with the above-ground biomass sampled in the field(the multiple correlative coefficient R~2 = 0.45, significant level P < 0.01) and showed better performance than the MODIS productivity product, i.e. MOD17A3,(R~2 = 0.21). The climate of TRH became warmer and wetter during 1990-2012, and the years 2000 to 2012 were warmer and wetter than the years1990–2000. Responding to the warmer and wetter climate, the NPP had an increasing trend of 13.7 g m~(–2)(10 yr)~(–1) with a statistical confidence of 86%(P = 0.14). Among the three basins, the NPP of the Yellow River basin increased at the fastest rate of 17.44 g m~(–2)(10 yr)~(–1)(P = 0.158), followed by the Yangtze River basin, and the Lancang River, which was the slowest with a rate of 12.2 g m~(–2)(10 yr)~(–1) and a statistical confidence level of only 67%. A multivariate linear regression with temperature and precipitation as the independent variables and NPP as the dependent variable at the pixel level was used to analyze the impacts of climatic changes on the trend of NPP. Both temperature and precipitation can explain the interannual variability of 83% in grassland NPP in the whole region, and can explain high, medium and low coverage of 78%, 84% and 83%, respectively, for grassland in the whole region. The results indicate that climate changes play a dominant role in the interannual trend of vegetation productivity in the alpine ecosystems on Qinghai-Tibetan Plateau. This has important implications for the formulation of ecological protection and restoration policies for vulnerable ecosystems against the background of global climate changes.
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/155533]  
专题中国科学院地理科学与资源研究所
作者单位1.青海大学
2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
3.Henan Academy of Land and Resources Sciences
4.Northwest Institute of Plateau Biology,Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Yang Yihan,Wang Junbang,Liu Peng,et al. Climatic Changes Dominant Interannual Trend in Net Primary Productivity of Alpine Vulnerable Ecosystems[J]. Journal of Resources and Ecology,2019,10(4):379.
APA Yang Yihan,Wang Junbang,Liu Peng,Lu Guangxin,&Li Yingnian.(2019).Climatic Changes Dominant Interannual Trend in Net Primary Productivity of Alpine Vulnerable Ecosystems.Journal of Resources and Ecology,10(4),379.
MLA Yang Yihan,et al."Climatic Changes Dominant Interannual Trend in Net Primary Productivity of Alpine Vulnerable Ecosystems".Journal of Resources and Ecology 10.4(2019):379.

入库方式: OAI收割

来源:地理科学与资源研究所

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