Methodological comparison of alpine meadow evapotranspiration on the Tibetan Plateau, China

PLoS One. 2017 Dec 13;12(12):e0189059. doi: 10.1371/journal.pone.0189059. eCollection 2017.

Abstract

Estimation of evapotranspiration (ET) for alpine meadow areas in the Tibetan Plateau (TP) is essential for water resource management. However, observation data has been limited due to the extreme climates and complex terrain of this region. To address these issues, four representative methods, Penman-Monteith (PM), Priestley-Taylor (PT), Hargreaves-Samani (HS), and Mahringer (MG) methods, were adopted to estimate ET, which were then compared with ET measured using Eddy Covariance (EC) for five alpine meadow sites during the growing seasons from 2010 to 2014. And each site was measured for one growing season during this period. The results demonstrate that the PT method outperformed at all sites with a coefficient of determination (R2) ranging from 0.76 to 0.94 and root mean square error (RMSE) ranging from 0.41 to 0.62 mm d-1. The PM method showed better performance than HS and MG methods, and the HS method produced relatively acceptable results with higher R2 (0.46) and lower RMSE (0.89 mm d-1) compared to MG method with R2 of 0.16 and RMSE of 1.62 mm d-1, while MG underestimated ET at all alpine meadow sites. Therefore, the PT method, being the simpler approach and less data dependent, is recommended to estimate ET for alpine meadow areas in the Tibetan Plateau. The PM method produced reliable results when available data were sufficient, and the HS method proved to be a complementary method when variables were insufficient. On the contrary, the MG method always underestimated ET and is, thus, not suitable for alpine meadows. These results provide a basis for estimating ET on the Tibetan Plateau for annual data collection, analysis, and future studies.

Publication types

  • Comparative Study

MeSH terms

  • Ecosystem*
  • Plant Transpiration*
  • Tibet

Grants and funding

This work is supported by The National Key Research and Development Program of China (grants nos. 2017YFC0404302), and the China National Natural Science Foundation (grants nos. 41671056, 41730751, 41421061). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.