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).
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References
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.
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.
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.
Fatichi S, Pappas C, 2017. Constrained variability of modeled T:ET ratio across biomes. Geophysical Research Letters, 44(13): 6795–6803.
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.
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.
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.
Good S P, Noone D, Bowen G, 2015. Hydrologic connectivity constrains partitioning of global terrestrial water fluxes. Science, 349(6244): 175–177.
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)
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.
Jasechko S, Sharp Z D, Gibson J J et al., 2013. Terrestrial water fluxes dominated by transpiration. Nature, 496(7445): 347–351.
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.
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)
Maxwell R M, Condon L E, 2016. Connections between groundwater flow and transpiration partitioning. Science, 353(6297): 377–380.
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.
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.
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.
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.
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.
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.
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.
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.
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)
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.
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)
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.
Yu G R, Wang Q F, 2010. Ecophysiology of Plant Photosynthesis, Transpiration, and Water Use. Beijing: Science Press. (in Chinese)
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.
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.
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.
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.
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.
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Foundation: National Key Research and Development Program of China, No.2015CB954102; National Natural Science Foundation of China, No.31700417, No.41571424
Author: Ren Xiaoli (1984-), PhD
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Ren, X., Lu, Q., He, H. et al. Estimation and analysis of the ratio of transpiration to evapotranspiration in forest ecosystems along the North-South Transect of East China. J. Geogr. Sci. 29, 1807–1822 (2019). https://doi.org/10.1007/s11442-019-1691-1
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DOI: https://doi.org/10.1007/s11442-019-1691-1