Environmental Research Letters (Jan 2015)

Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends

  • Jiafu Mao,
  • Wenting Fu,
  • Xiaoying Shi,
  • Daniel M Ricciuto,
  • Joshua B Fisher,
  • Robert E Dickinson,
  • Yaxing Wei,
  • Willis Shem,
  • Shilong Piao,
  • Kaicun Wang,
  • Christopher R Schwalm,
  • Hanqin Tian,
  • Mingquan Mu,
  • Altaf Arain,
  • Philippe Ciais,
  • Robert Cook,
  • Yongjiu Dai,
  • Daniel Hayes,
  • Forrest M Hoffman,
  • Maoyi Huang,
  • Suo Huang,
  • Deborah N Huntzinger,
  • Akihiko Ito,
  • Atul Jain,
  • Anthony W King,
  • Huimin Lei,
  • Chaoqun Lu,
  • Anna M Michalak,
  • Nicholas Parazoo,
  • Changhui Peng,
  • Shushi Peng,
  • Benjamin Poulter,
  • Kevin Schaefer,
  • Elchin Jafarov,
  • Peter E Thornton,
  • Weile Wang,
  • Ning Zeng,
  • Zhenzhong Zeng,
  • Fang Zhao,
  • Qiuan Zhu,
  • Zaichun Zhu

DOI
https://doi.org/10.1088/1748-9326/10/9/094008
Journal volume & issue
Vol. 10, no. 9
p. 094008

Abstract

Read online

We examined natural and anthropogenic controls on terrestrial evapotranspiration (ET) changes from 1982 to 2010 using multiple estimates from remote sensing-based datasets and process-oriented land surface models. A significant increasing trend of ET in each hemisphere was consistently revealed by observationally-constrained data and multi-model ensembles that considered historic natural and anthropogenic drivers. The climate impacts were simulated to determine the spatiotemporal variations in ET. Globally, rising CO _2 ranked second in these models after the predominant climatic influences, and yielded decreasing trends in canopy transpiration and ET, especially for tropical forests and high-latitude shrub land. Increasing nitrogen deposition slightly amplified global ET via enhanced plant growth. Land-use-induced ET responses, albeit with substantial uncertainties across the factorial analysis, were minor globally, but pronounced locally, particularly over regions with intensive land-cover changes. Our study highlights the importance of employing multi-stream ET and ET-component estimates to quantify the strengthening anthropogenic fingerprint in the global hydrologic cycle.

Keywords