Advertisement

Journal of Geographical Sciences

, Volume 29, Issue 11, pp 1807–1822 | Cite as

Estimation and analysis of the ratio of transpiration to evapotranspiration in forest ecosystems along the North-South Transect of East China

  • Xiaoli RenEmail author
  • Qianqian Lu
  • Honglin He
  • Li Zhang
  • Zhongen Niu
Article
  • 44 Downloads

Abstract

The ratio of transpiration to evapotranspiration (T/ET) is a key parameter for quantifying water use efficiency of ecosystems and understanding the interaction between ecosystem carbon uptake and water cycling in the context of global change. The estimation of T/ET has been paid increasing attention from the scientific community in recent years globally. In this paper, we used the Priestly-Taylor Jet Propulsion Laboratory Model (PT-JPL) driven by regional remote sensing data and gridded meteorological data, to simulate the T/ET in forest ecosystems along the North-South Transect of East China (NSTEC) during 2001–2010, and to analyze the spatial distribution and temporal variation of T/ET, as well as the factors influencing the variation in T/ET. The results showed that: (1) The PT-JPL model is suitable for the simulation of evapotranspiration and its components of forest ecosystems in Eastern China, and has relatively good stability and reliability. (2) Spatial distribution of T/ET in forest ecosystems along NSTEC was heterogeneous, i.e., T/ET was higher in the north and lower in the south, with an averaged value of 0.69; and the inter-annual variation of T/ET showed a significantly increasing trend, with an increment of 0.007/yr (p<0.01). (3) Seasonal and inter-annual variations of T/ET had different dominant factors. Temperature and EVI can explain around 90% (p<0.01) of the seasonal variation in T/ET, while the inter-annual variation in T/ET was mainly controlled by EVI (53%, p<0.05).

Keywords

The North-South Transect of East China (NSTEC) forest ecosystems ratio of transpiration to evapotranspiration (T/ET) water use efficiency (WUE) 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgement

The flux data of CBS, QYZ, DHS sites were obtained from ChinaFLUX, and the simulated transpiration data of the three sites were provided by Dr. Xianjin Zhu and Prof. Guirui Yu, which are highly acknowledged.

References

  1. Berkelhammer M, Noone D C, Wong T E et al., 2016. Convergent approaches to determine an ecosystem’s transpiration fraction. Global Biogeochemical Cycles, 30(6): 933–951.CrossRefGoogle Scholar
  2. Cheng L, Zhang L, Wang Y P et al., 2017. Recent increases in terrestrial carbon uptake at little cost to the water cycle. Nature Communications, 8: 110. doi:  https://doi.org/10.1038/s41467-017-00114-5.CrossRefGoogle Scholar
  3. Coenders-Gerrits A M J, van der Ent R J, Bogaard T A et al., 2014. Uncertainties in transpiration estimates. Nature, 506(7487): E1–E2.CrossRefGoogle Scholar
  4. Fatichi S, Pappas C, 2017. Constrained variability of modeled T:ET ratio across biomes. Geophysical Research Letters, 44(13): 6795–6803.CrossRefGoogle Scholar
  5. Fisher J B, Tu K P, Baldocchi D D, 2008. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment, 112(3): 901–919.CrossRefGoogle Scholar
  6. Gao Y H, Liu X X, Min C C et al., 2013. Estimation of the North-South Transect of Eastern China forest biomass using remote sensing and forest inventory data. International Journal of Remote Sensing, 34(15): 5598–5610.CrossRefGoogle Scholar
  7. Gao Y, Zhu X J, Yu G R et al., 2014. Water use efficiency threshold for terrestrial ecosystem carbon sequestration in China under afforestation. Agricultural and Forest Meteorology, 195: 32–37. doi:  https://doi.org/10.1016/j.agrformet.2014.04.010.CrossRefGoogle Scholar
  8. Good S P, Noone D, Bowen G, 2015. Hydrologic connectivity constrains partitioning of global terrestrial water fluxes. Science, 349(6244): 175–177.CrossRefGoogle Scholar
  9. Hu Z M, Yu G R, Wang Q F et al., 2009a. Ecosystem level water use efficiency: A review. Acta Ecologica Sinica, 29(3): 1498–1507. (in Chinese)Google Scholar
  10. Hu Z M, Yu G R, Zhou Y L et al., 2009b. Partitioning of evapotranspiration and its controls in four grassland ecosystems: Application of a two-source model. Agricultural and Forest Meteorology, 149(9): 1410–1420.CrossRefGoogle Scholar
  11. Jasechko S, Sharp Z D, Gibson J J et al., 2013. Terrestrial water fluxes dominated by transpiration. Nature, 496(7445): 347–351.CrossRefGoogle Scholar
  12. Lawrence D M, Thornton P E, Oleson K W et al., 2007. The partitioning of evapotranspiration into transpiration, soil evaporation, and canopy evaporation in a GCM: Impacts on land-atmosphere interaction. Journal of Hydrometeorology, 8(4): 862–880.CrossRefGoogle Scholar
  13. Lu Q Q, He H L, Zhu X J et al., 2015. Study on the variations of forest evapotranspiration and its components in eastern China. Journal of Natural Resources, 30(9): 1436–1448. (in Chinese)Google Scholar
  14. Maxwell R M, Condon L E, 2016. Connections between groundwater flow and transpiration partitioning. Science, 353(6297): 377–380.CrossRefGoogle Scholar
  15. Miralles D G, De Jeu R A M, Gash J H et al., 2011. Magnitude and variability of land evaporation and its components at the global scale. Hydrology and Earth System Sciences, 15(3): 967–981.CrossRefGoogle Scholar
  16. Miralles D G, Jimenez C, Jung M et al., 2016. The WACMOS-ET project — Part 2: Evaluation of global terrestrial evaporation data sets. Hydrology and Earth System Sciences, 20(2): 823–842.CrossRefGoogle Scholar
  17. Quan Q, Zhang F Y, Tian D S et al., 2018. Transpiration dominates ecosystem water-use efficiency in response to warming in an alpine meadow. Journal of Geophysical Research-Biogeosciences, 123(2): 453–462.CrossRefGoogle Scholar
  18. Schlesinger W H, Jasechko S, 2014. Transpiration in the global water cycle. Agricultural and Forest Meteorology, 189: 115–117. doi:  https://doi.org/10.1016/j.agrformet.2014.01.011.CrossRefGoogle Scholar
  19. Scott R L, Biederman J A, 2017. Partitioning evapotranspiration using long-term carbon dioxide and water vapor fluxes. Geophysical Research Letters, 44(13): 6833–6840.CrossRefGoogle Scholar
  20. Wang-Erlandsson L, van der Ent R J, Gordon L J et al., 2014. Contrasting roles of interception and transpiration in the hydrological cycle — Part 1: Temporal characteristics over land. Earth System Dynamics, 5(2): 441–469.CrossRefGoogle Scholar
  21. Wang K C, Dickinson R E, 2012. A Review of Global Terrestrial Evapotranspiration: Observation, Modeling, Climatology, and Climatic Variability. Reviews of Geophysics, 50: RG2005. doi:  https://doi.org/10.1029/2011RG000373.CrossRefGoogle Scholar
  22. Wang L X, Good S P, Caylor K K, 2014. Global synthesis of vegetation control on evapotranspiration partitioning. Geophysical Research Letters, 41(19): 6753–6757.CrossRefGoogle Scholar
  23. Wei H Q, He H L, LIu M et al., 2012. Modeling evapotranspiration and its components in Qianyanzhou plantation based on remote sensing data. Journal of Natural Resources, 27(5): 778–789. (in Chinese)Google Scholar
  24. Wei Z W, Yoshimura K, Wang L X et al., 2017. Revisiting the contribution of transpiration to global terrestrial evapotranspiration. Geophysical Research Letters, 44(6): 2792–2801.CrossRefGoogle Scholar
  25. Wu H S, Liu H P, Huang D J, 1998. Interception of Precipitation in Dinghushan Evergreen Broadleaf Forest. Research of Forest Ecosystems in Subtropical and Tropical Regions. Beijing: China Meteorological Press. (in Chinese)Google Scholar
  26. Xu M J, Wen X F, Wang H M et al., 2014. Effects of climatic factors and ecosystem responses on the inter-annual variability of evapotranspiration in a coniferous plantation in subtropical China. Plos One, 9(1): e85593. doi:  https://doi.org/10.1371/journal.pone.0085593.CrossRefGoogle Scholar
  27. Yu G R, Wang Q F, 2010. Ecophysiology of Plant Photosynthesis, Transpiration, and Water Use. Beijing: Science Press. (in Chinese)Google Scholar
  28. Yu G R, Zhang L M, Sun X M et al., 2008. Environmental controls over carbon exchange of three forest ecosystems in eastern China. Global Change Biology, 14(11): 2555–2571.Google Scholar
  29. Zhang L X, Hu Z M, Fan J W et al., 2014. A meta-analysis of the canopy light extinction coefficient in terrestrial ecosystems. Frontiers of Earth Science, 8(4): 599–609.CrossRefGoogle Scholar
  30. Zhou S, Yu B F, Zhang Y et al., 2016. Partitioning evapotranspiration based on the concept of underlying water use efficiency. Water Resources Research, 52(2): 1160–1175.CrossRefGoogle Scholar
  31. Zhu X J, Yu G R, Hu Z M et al., 2015. Spatiotemporal variations of T/ET (the ratio of transpiration to evapotranspiration) in three forests of eastern China. Ecological Indicators, 52: 411–421. doi:  https://doi.org/10.1016/j.ecolind.2014.12.030.CrossRefGoogle Scholar

Copyright information

© Science in China Press 2019

Authors and Affiliations

  • Xiaoli Ren
    • 1
    Email author
  • Qianqian Lu
    • 2
  • Honglin He
    • 1
    • 3
  • Li Zhang
    • 1
    • 3
  • Zhongen Niu
    • 1
    • 4
  1. 1.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina
  2. 2.Zhongke Tongde (Beijing) Ecology Technology Co.BeijingChina
  3. 3.College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijingChina
  4. 4.University of Chinese Academy of SciencesBeijingChina

Personalised recommendations