Assessing spatio-temporal variations of precipitation-use efficiency over Tibetan grasslands using MODIS and in-situ observations

Zhengjia LIU, Mei HUANG

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Front. Earth Sci. ›› 2016, Vol. 10 ›› Issue (4) : 784-793. DOI: 10.1007/s11707-016-0566-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Assessing spatio-temporal variations of precipitation-use efficiency over Tibetan grasslands using MODIS and in-situ observations

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Abstract

Clarifying the spatial and temporal variations in precipitation-use efficiency (PUE) is helpful for advancing our knowledge of carbon and water cycles in Tibetan grassland ecosystems. Here we use an integrated remote sensing normalized difference vegetation index (NDVI) and in-situ above-ground net primary production (ANPP) measurements to establish an empirical exponential model to estimate spatial ANPP across the entire Tibetan Plateau. The spatial and temporal variations in PUE (the ratio of ANPP to mean annual precipitation (MAP)), as well as the relationships between PUE and other controls, were then investigated during the 2001–2012 study period. At a regional scale, PUE increased from west to east. PUE anomalies increased significantly (>0.1 g·m–2·mm–1/10 yr) in the southern areas of the Tibetan Plateau yet decreased (>0.02 g·m–2·mm–1/10 yr) in the northeastern areas. For alpine meadow, we obtained an obvious breaking point in trend of PUE against elevation gradients at 3600 m above the sea level, which showed a contrasting relationship. At the inter-annual scale, PUE anomalies were smaller in alpine steppe than in alpine meadow. The results show that PUE of Tibetan grasslands is generally high in dry years and low in wet years.

Keywords

normalized difference vegetation index (NDVI) / Tibetan Plateau / inter-annual variations / alpine grasslands / exponential model

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Zhengjia LIU, Mei HUANG. Assessing spatio-temporal variations of precipitation-use efficiency over Tibetan grasslands using MODIS and in-situ observations. Front. Earth Sci., 2016, 10(4): 784‒793 https://doi.org/10.1007/s11707-016-0566-3

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Acknowledgments

We thank Hongsheng Liu, Xiujing Yang, Lei Li, Yibo Liu, Weiliang Fan, Hui Zhan and others for help with sampling. This study was supported by the National Natural Science Foundation of China (Grant Nos. 41271118, 41471227, and 41371013) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA05050209). We are grateful to Yuanhe Yang and coauthors for sharing their in-situ data, and thank Drs. Muhammad Hasan Ali Baig and A. Gonsamo for providing valuable suggestions.Supplementary materialƒis available in the online version of this article at http://dx.doi.org/10.1007/s11707-016-0566-3 and is accessible for authorized users.

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2016 Higher Education Press and Springer-Verlag Berlin Heidelberg
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