Skip to main content
Log in

Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

Quantifying the contributions of climate change and human activities to ecosystem evapotranspiration (ET) and gross primary productivity (GPP) changes is important for adaptation assessment and sustainable development. Spatiotemporal patterns of ET and GPP were estimated from 2000 to 2014 over North China Plain (NCP) with a physical and remote sensing-based model. The contributions of climate change and human activities to ET and GPP trends were separated and quantified by the first difference de-trending method and multivariate regression. Results showed that annual ET and GPP increased weakly, with climate change and human activities contributing 0.188 mm yr–2 and 0.466 mm yr–2 to ET trend of 0.654 mm yr–2, and–1.321 g C m–2 yr–2 and 7.542 g C m–2 yr–2 to GPP trend of 6.221 g C m–2 yr–2, respectively. In cropland, the increasing trends mainly occurred in wheat growing stage; the contributions of climate change to wheat and maize were both negative. Precipitation and sunshine duration were the major climatic factors regulating ET and GPP trends. It is concluded that human activities are the main drivers to the long term tendencies of water consumption and gross primary productivity in the NCP.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bai H Z, Tao F L, Xiao D P et al., 2016. Attribution of yield change for rice-wheat rotation system in China to climate change, cultivars and agronomic management in the past three decades. Climatic Change, 135(3): 539–553.

    Article  Google Scholar 

  • Bai J, Chen X, Li L et al., 2014. Quantifying the contributions of agricultural oasis expansion, management practices and climate change to net primary production and evapotranspiration in croplands in arid northwest China. Journal of Arid Environments, 100: 31–41.

    Article  Google Scholar 

  • Cao G L, Han D M, Song X F, 2014. Evaluating actual evapotranspiration and impacts of groundwater storage change in the North China Plain. Hydrological Processes, 28(4): 1797–1808.

    Article  Google Scholar 

  • Chen B X, Zhang X Z, Tao J et al., 2014. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agricultural and Forest Meteorology, 189: 11–18.

    Article  Google Scholar 

  • Choudhury B J, Di Girolamo N E, 1998. A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data: I. Model description and comparison with observations. Journal of Hydrology, 205(3/4): 164–185.

    Google Scholar 

  • Dai E F, Huang Y, Wu Z et al., 2016. Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem. Journal of Geographical Sciences, 26(3): 297–312.

    Article  Google Scholar 

  • Dass P, Rawlins M A, Kimball J S et al., 2016. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia. Biogeosciences, 13(1): 45–62.

    Article  Google Scholar 

  • Gao Y N, Yu G R, Yan H M et al., 2014. A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in northern China and the Tibetan Plateau. Remote Sensing of Environment, 148: 108–118.

    Article  Google Scholar 

  • Guo J P, Zhao J F, Wu D R et al., 2014. Attribution of maize yield increase in China to climate change and technological advancement between 1980 and 2010. Journal of Meteorological Research, 28(6): 1168–1181.

    Article  Google Scholar 

  • Jaksa W T, Sridhar V, 2015. Effect of irrigation in simulating long-term evapotranspiration climatology in a human- dominated river basin system. Agricultural and Forest Meteorology, 200: 109–118.

    Article  Google Scholar 

  • Ji X J, Yu Y Q, Zhang W et al., 2010. Spatial-temporal patterns of winter wheat harvest index in China in recent twenty years. Scientia Agricultura Sinica, 43(17): 3511–3519. (in Chinese)

    Google Scholar 

  • Jia Z Z, Liu S M, Xu Z W et al., 2012. Validation of remotely sensed evapotranspiration over the Hai River Basin, China. Journal of Geophysical Research-Atmospheres, 117(D13113): 1–21.

    Google Scholar 

  • Lei H M, Yang D W, 2010. Interannual and seasonal variability in evapotranspiration and energy partitioning over an irrigated cropland in the North China Plain. Agricultural and Forest Meteorology, 150(4): 581–589.

    Article  Google Scholar 

  • Li D, 2014. Assessing the impact of interannual variability of precipitation and potential evaporation on evapotranspiration. Advances in Water Resources, 70: 1–11.

    Article  Google Scholar 

  • Li F Q, Kustas W P, Prueger J H et al., 2005. Utility of remote sensing-based two-source energy balance model under low- and high-vegetation cover conditions. Journal of Hydrometeorology, 6(6): 878–891.

    Article  Google Scholar 

  • Lin Z H, Mo X G, Li H X et al., 2002. Comparison of three spatial interpolation methods for climate variables in China. Acta Geographica Sinica, 57(1): 47–56. (in Chinese)

    Google Scholar 

  • Liu B, Sun Y L, Wang Y C et al., 2013. Monitoring and assessment of vegetation variation in North China based on SPOT/NDVI. Journal of Arid Land Resources and Environment, 27(9): 98–103. (in Chinese)

    Google Scholar 

  • Liu Q A, Yang Z F, 2010. Quantitative estimation of the impact of climate change on actual evapotranspiration in the Yellow River Basin, China. Journal of Hydrology, 395(3/4): 226–234.

    Article  Google Scholar 

  • Liu S M, Xu Z W, Zhu Z L et al., 2013. Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 487: 24–38.

    Article  Google Scholar 

  • Liu X P, Zhang W J, Yang F et al., 2012. Changes in vegetation-environment relationships over long-term natural restoration process in Middle Taihang Mountain of North China. Ecological Engineering, 49: 193–200.

    Article  Google Scholar 

  • Liu X Y, Li Y Z, Hao W P, 2005. Trend and causes of water requirement of main crops in North China in recent 50 years. Transactions of the CSAE, 21(10): 155–159. (in Chinese)

    Google Scholar 

  • Liu Y A, Wang E L, Yang X G et al., 2010. Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980s. Global Change Biology, 16(8): 2287–2299.

    Article  Google Scholar 

  • Liu Z J, Shao Q Q, Liu J Y, 2015. The performances of MODIS-GPP and -ET products in China and their sensitivity to input data (FPAR/LAI). Remote Sensing, 7(1): 135–152.

    Article  Google Scholar 

  • Liu Z J, Wang L C, Wang S S, 2014. Comparison of different GPP models in China using MODIS image and ChinaFLUX data. Remote Sensing, 6(10): 10215–10231.

    Article  Google Scholar 

  • Lobell D B, Asner G P, 2003. Climate and management contributions to recent trends in US agricultural yields. Science, 299(5609): 1032–1032.

    Article  Google Scholar 

  • Lobell D B, Field C B, 2007. Global scale climate-crop yield relationships and the impacts of recent warming. Environmental Research Letters, 2(1): 014002.

    Article  Google Scholar 

  • Lobell D B, Schlenker W, Costa-Roberts J, 2011. Climate trends and global crop production since 1980. Science, 333(6042): 616–620.

    Article  Google Scholar 

  • Ma X N, Zhang M J, Li Y J et al., 2012. Decreasing potential evapotranspiration in the Huanghe River Watershed in climate warming during 1960–2010. Journal of Geographical Sciences, 22(6): 977–988.

    Article  Google Scholar 

  • Mo X G, Liu S X, Lin Z H et al., 2011. Patterns of evapotranspiration and GPP and their responses to climate variations over the North China Plain. Acta Geographica Sinica, 66(5): 589–598. (in Chinese)

    Google Scholar 

  • Mo X, Liu S, Lin Z et al., 2015. Trends in land surface evapotranspiration across China with remotely sensed NDVI and climatological data for 1981–2010. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 60(12): 2163–2177.

    Article  Google Scholar 

  • Mu Q Z, Zhao M S, Running S W, 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment, 115(8): 1781–1800.

    Article  Google Scholar 

  • Nicholls N, 1997. Increased Australian wheat yield due to recent climate trends. Nature, 387(6632): 484–485.

    Article  Google Scholar 

  • Qiu G Y, Wang L M, He X H et al., 2008. Water use efficiency and evapotranspiration of winter wheat and its response to irrigation regime in the North China Plain. Agricultural and Forest Meteorology, 148(11): 1848–1859.

    Article  Google Scholar 

  • Savitzky A, Golay M J E, 1964. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry, 36(8): 1627–1639.

    Article  Google Scholar 

  • Shi W J, Tao F L, Zhang Z, 2013. A review on statistical models for identifying climate contributions to crop yields. Journal of Geographical Sciences, 23(3): 567–576.

    Article  Google Scholar 

  • Shi X Y, Mao J F, Thornton P E et al., 2013. Spatiotemporal patterns of evapotranspiration in response to multiple environmental factors simulated by the community land model. Environmental Research Letters, 8(2): 024012.

    Article  Google Scholar 

  • Sun H Y, Liu C M, Zhang X Y et al., 2006. Effects of irrigation on water balance, yield and WUE of winter wheat in the North China Plain. Agricultural Water Management, 85(1/2): 211–218.

    Article  Google Scholar 

  • Sun H Y, Zhang X Y, Wang E L et al., 2016. Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain. Field Crops Research, 194: 94–102.

    Article  Google Scholar 

  • Tao F L, Yokozawa M, Liu J Y et al., 2008. Climate-crop yield relationships at provincial scales in China and the impacts of recent climate trends. Climate Research, 38(1): 83–94.

    Article  Google Scholar 

  • Tao F L, Zhang Z, 2013. Climate change, wheat productivity and water use in the North China Plain: A new super- ensemble-based probabilistic projection. Agricultural and Forest Meteorology, 170: 146–165.

    Article  Google Scholar 

  • Turner D P, Ritts W D, Cohen W B et al., 2006. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment, 102(3/4): 282–292.

    Article  Google Scholar 

  • Ukkola A M, Prentice I C, 2013. A worldwide analysis of trends in water-balance evapotranspiration. Hydrology and Earth System Sciences, 17(10): 4177–4187.

    Article  Google Scholar 

  • Veron S R, de Abelleyra D, Lobell D B, 2015. Impacts of precipitation and temperature on crop yields in the Pampas. Climatic Change, 130(2): 235–245.

    Article  Google Scholar 

  • Wang H S, Jia G S, Fu C B et al., 2010. Deriving maximal light use efficiency from coordinated flux measurements and satellite data for regional gross primary production modeling. Remote Sensing of Environment, 114(10): 2248–2258.

    Article  Google Scholar 

  • Wang P T, Yan J P, Jiang C et al., 2014. Spatial and temporal variations of reference crop evapotranspiration and its influencing factors in the North China Plain. Acta Ecologica Sinica, 34(19): 5589–5599. (in Chinese)

    Google Scholar 

  • Wang S S, Mo X G, 2015. Comparison of multiple models for estimating gross primary production using remote sensing data and fluxnet observations. Remote Sensing and GIS for Hydrology and Water Resources, 368: 75–80.

    Google Scholar 

  • Wang Z, Ye T, Wang J et al., 2016. Contribution of climatic and technological factors to crop yield: Empirical evidence from late paddy rice in Hunan Province, China. Stochastic Environmental Research and Risk Assessment, 30(7): 2019–2030.

    Article  Google Scholar 

  • Xiao D P, Tao F L, 2014. Contributions of cultivars, management and climate change to winter wheat yield in the North China Plain in the past three decades. European Journal of Agronomy, 52: 112–122.

    Article  Google Scholar 

  • Xiao J F, Zhou Y, Zhang L, 2015. Contributions of natural and human factors to increases in vegetation productivity in China. Ecosphere, 6(11): 1–20.

    Article  Google Scholar 

  • Xiao J F, Zhuang Q L, Law B E et al., 2010. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data. Remote Sensing of Environment, 114(3): 576–591.

    Article  Google Scholar 

  • Xie G H, Han D Q, Wang X Y et al., 2011. Harvest index and residue factor of cereal crops in China. Journal of China Agricultural University, 16(1): 1–8. (in Chinese)

    Google Scholar 

  • Zhang S H, Liu S X, Mo X G et al., 2010. Assessing the Impact of Climate Change on Reference Evapotranspiration in Aksu River Basin. Acta Geographica Sinica, 65(11): 1363–1370. (in Chinese)

    Google Scholar 

  • Zhang X Y, Chen S Y, Sun H Y et al., 2011. Changes in evapotranspiration over irrigated winter wheat and maize in North China Plain over three decades. Agricultural Water Management, 98(6): 1097–1104.

    Article  Google Scholar 

  • Zhang X Y, Wang S F, Sun H Y et al., 2013. Contribution of cultivar, fertilizer and weather to yield variation of winter wheat over three decades: A case study in the North China Plain. European Journal of Agronomy, 50: 52–59.

    Article  Google Scholar 

  • Zhang Y J, Xu M, Chen H et al., 2009. Global pattern of NPP to GPP ratio derived from MODIS data: Effects of ecosystem type, geographical location and climate. Global Ecology and Biogeography, 18(3): 280–290.

    Article  Google Scholar 

  • Zhang Y L, Song C H, Sun G et al., 2016. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agricultural and Forest Meteorology, 223: 116–131.

    Article  Google Scholar 

  • Zhang Y Q, Yu Q, Jiang J et al., 2008. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology, 14(4): 757–767.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

Download references

Acknowledgments

We thank to all the data providers. We also appreciate editors and reviewers for their constructive comments and suggestions. Finally, the first author is grateful to the invaluable support received from doctoral student ZOU Yi.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xingguo Mo.

Additional information

Foundation: National Natural Science Foundation of China, No.41471026; National Key Research and Development Program of China, No.2016YFC0401402

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, X., Mo, X., Hu, S. et al. Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014. J. Geogr. Sci. 27, 661–680 (2017). https://doi.org/10.1007/s11442-017-1399-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-017-1399-z

Keywords

Navigation