Skip to main content

Advertisement

Log in

Changes in water use efficiency and their relations to climate change and human activities in three forestry regions of China

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Water use efficiency (WUE) is an important link between carbon and water cycles, which is critical for the forests under future global climatic changes. WUENDVI was calculated by accumulated normalized difference vegetation index (NDVI) and actual evapotranspiration (ET) and could reflect the impacts of climatic changes and human activities on WUE. The three forestry regions of China are the northeast, southwest, and southeast areas. Among them, the northeast forest region is a natural forest region with forest stock accounting for more than 1/4 of China, and the southwest mountainous forest region is another natural forest region in China, with forest stock accounting for more than 1/3 of China, while the southeast forest area is mainly plantations. In 2018, the forest areas over three forestry regions of China were around 1,725,988 km2. This paper evaluated the changes in forest WUE and their relationships with climatic change and human activities over three forestry regions of China during 1961–2019. The main findings of this study were summarized as follows: (1) the spatial changes of WUE were gentle in the artificial forest region but fluctuant sharply in the natural forest regions. In the southwest forest region, the WUE increased with elevation, while it showed the opposite trends in the artificial forest region. Overall, the annual mean forest WUE increased in almost all regions of the study areas during 1961-2019; (2) in the northeast and southeast forest regions, the WUE presented a negative relationship with the temperature. In the southwest forest region, the WUE was positively correlated with the temperature and its increase rate slowed down significantly when the temperature increases by more than 1 °C. The WUE was negatively correlated with precipitation in the three regions and was more sensitive to the decrease of precipitation. The sensitivity of WUE to precipitation reduction was highest in the artificial forest region and lowest in the northeast forest region; (3) the forest WUE and WUENDVI were lowest in the artificial forest region but highest in the northeast forest region, while the net increase in forests area during 1980–2018 was largest in the artificial forest region (155,975 km2) but lowest in the northeast forest region (78,766 km2). In general, human activities had the greatest impact on the forest WUE in the northeast forest region. Human activities and climatic change had quite complex and interactive effects on forest WUE. Therefore, more attention should be paid to the joint influences of climate change and human activities on WUE.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Asrar G, Fuchs M, Kanemasu ET, Hatfield JL (1984) Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron J 76:300–306

    Article  Google Scholar 

  • Babst F, Poulter B, Trouet V, Tan K, Neuwirth B, Wilson R, Carrer M, Grabner M, Tegel W, Levanic T, Panayotov M, Urbinati C, Bouriaud O, Ciais P, Frank D (2013) Site- and species-specific responses of forest growth to climate across the European continent. Glob Ecol Biogeogr 22(6):706–717

    Article  Google Scholar 

  • Bellard C, Bertelsmeier C, Leadley P, Thuiller W, Courchamp F (2012) Impacts of climate change on the future of biodiversity. Ecol Lett 15(4):365–377

    Article  Google Scholar 

  • Chang J, Tian J, Zhang Z, Chen X, Chen Y, Chen S, Duan Z (2018) Changes of grassland rain use efficiency and NDVI in Northwestern China from 1982 to 2013 and its response to climate change. Water 10(11):1689–1708

    Article  Google Scholar 

  • Chen B, Zhang X, Tao J, Wu J, Wang J, Shi P, Zhang Y, Yu C (2014) The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agric For Meteorol 189-190:11–18

    Article  Google Scholar 

  • Chen T, Peng L, Liu S, Wang Q (2017a) Spatio-temporal pattern of net primary productivity in Hengduan Mountains area, China: impacts of climate change and human activities. Chin Geogr Sci 27(6):948–962

    Article  Google Scholar 

  • Chen X, Mo X, Hu S, Liu S (2017b) Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014. J Geogr Sci 27(6):661–680

    Article  Google Scholar 

  • Fensholt R, Rasmussen K (2011) Analysis of trends in the Sahelian ‘rain-use efficiency’ using GIMMS NDVI, RFE and GPCP rainfall data. Remote Sens Environ 115(2):438–451

    Article  Google Scholar 

  • Gower ST, McMurtrie RE, Murty D (1996) Aboveground net primary production decline with stand age: potential causes. Trends Ecol Evol 11(9):378–382

    Article  Google Scholar 

  • Hanane S, Cherkaoui SI, Magri N, Yassin M (2018) Bird species richness in artificial plantations and natural forests in a North African agroforestry system: assessment and implications. Agrofor Syst

  • Holm AM, Cridland SW, Roderick ML (2003) The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia. Remote Sens Environ 85(2):145–158

    Article  Google Scholar 

  • Hu Z, Wu G, Zhang L, Li S, Zhu X, Zheng H, Zhang L, Sun X, Yu G (2017) Modeling and partitioning of regional evapotranspiration using a satellite-driven water-carbon coupling model. Remote Sens 9(1):54–74

    Article  Google Scholar 

  • Lieth H, Whittaker RH (1975) Primary productivity of the biosphere. Spring Verlag, Berlin Heidelberg New York

    Book  Google Scholar 

  • Liu CY, Dong XF, Liu YY (2015) Changes of NPP and their relationship to climate factors based on the transformation of different scales in Gansu, China. Catena 125:190–199

    Article  Google Scholar 

  • Morecroft MD, Taylor ME, Oliver HR (1998) Air and soil microclimates of deciduous woodland compared to an open site. Agric For Meteorol 90(1):141–156

    Article  Google Scholar 

  • Niu SL, Xing XR, Zhang Z, Xia JY, Zhou XH, Song B, Li LH, Wan SQ (2011) Water-use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe. Glob Chang Biol 17(2):1073–1082

    Article  Google Scholar 

  • Pan Y, Birdsey RA, Fang J, Houghton R, Kauppi PE, Kurz WA, Phillips OL, Shvidenko A, Lewis SL, Canadell JG, Ciais P, Jackson RB, Pacala SW, McGuire AD, Piao S, Rautiainen A, Sitch S, Hayes D (2011) A Large and persistent carbon sink in the world’s forests. Science 333(6045):988–993

    Article  Google Scholar 

  • Pan Y, Zhang C, Gong H, Yeh PJF, Shen Y, Guo Y, Huang Z, Li X (2017) Detection of human-induced evapotranspiration using GRACE satellite observations in the Haihe River basin of China. Geophys Res Lett 44(1):190–199

    Article  Google Scholar 

  • Rafique R, Zhao F, de Jong R, Zeng N, Asrar GR (2016) Global and regional variability and change in terrestrial ecosystems net primary production and NDVI: a model-data comparison. Remote Sens 8(3):177–192

    Article  Google Scholar 

  • Shao W, Cai J, Wu H, Liu J, Zhang H, Huang H (2017) An assessment of carbon storage in China’s arboreal forests. Forests 8(4):110–123

    Article  Google Scholar 

  • Sheng WP, Ren SJ, Yu GR, Fang HJ, Jiang CM, Zhang M (2011) Patterns and driving factors of WUE and NUE in natural forest ecosystems along the North-South Transect of Eastern China. J Geogr Sci 21(4):651–665

    Article  Google Scholar 

  • Sun, F. B. (2007) Study on watershed evapotranspiration based on the Budyko hypothesis, 2007: 157.

  • Wang H, Li XB, Long HL, Gai YQ, Wei DD (2009) Monitoring the effects of land use and cover changes on net primary production: a case study in China’s Yongding River basin. For Ecol Manag 258(12):2654–2665

    Article  Google Scholar 

  • Wright SJ (2005) Tropical forests in a changing environment. Trends Ecol Evol 20(10):553–560

    Article  Google Scholar 

  • Xiao FJ, Ouyang H, Zhang Q, Fu BJ, Zhang ZC (2004) Forest ecosystem health assessment and analysis in China. J Geogr Sci 14(1):18–24

    Article  Google Scholar 

  • Xiao JF, Sun G, Chen JQ, Chen H, Chen SP, Dong G, Gao SH, Guo HQ, Guo JX, Han SJ, Kato T, Li YL, Lin GH, Lu WZ, Ma MG, McNulty S, Shao CL, Wang XF, Xie X, Zhang XD, Zhang ZQ, Zhao B, Zhou GS, Zhou J (2013) Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China. Agric For Meteorol 182-183:76–90

    Article  Google Scholar 

  • Xu LK, Hsiao TC (2004) Predicted versus measured photosynthetic water-use efficiency of crop stands under dynamically changing field environments. J Exp Bot 55(407):2395–2411

    Article  Google Scholar 

  • Yu GR, Xia S, Wang QF, Liu YF, Guan DX, Yan JH, Sun XM, Zhang LM (2008) Water-use efficiency of forest ecosystems in eastern China and its relations to climatic variables. New Phytol 177(4):927–937

    Article  Google Scholar 

  • Zhang FM, Ju WM, Shen SH, Wang SQ, Yu GR, Han SJ (2014) How recent climate change influences water use efficiency in East Asia. Theor Appl Climatol 116(1-2):359–370

    Article  Google Scholar 

  • Zhang Z, Jiang H, Liu JX, Zhou GM, Liu SR (2012) Assessment on water use efficiency under climate change and heterogeneous carbon dioxide in China terrestrial ecosystems. Procedia Environ Sci 13:2031–2044

    Article  Google Scholar 

  • Zou M, Niu J, Kang S, Li X, Lu H (2017) The contribution of human agricultural activities to increasing evapotranspiration is significantly greater than climate change effect over Heihe agricultural region. Sci Rep 7(1):1–14

    Article  Google Scholar 

  • Jiang Y, Ma Y, Chen W, Wang P, Song F, Fang C, Wang G (2007) Review on influence factor and improvement way of crop water use efficiency. Chin Agricult Sci Bull 23(9):269–273

    Google Scholar 

  • Sun YL, Yan XD, Xie DT, Wei CF (2007) Application of LPJ model in simulating vegetation distribution of China. J Southwest Univ 29(11):86–92

    Google Scholar 

  • Zhang YD, Pang R, Gu FX, Liu SR (2016) Temporal-spatial variations of WUE and its response to climate change in alpine area of southwestern China. Acta Ecol Sin 36(6):1515–1525

    Google Scholar 

Download references

Acknowledgements

This paper is financially supported by The National Key Research and Development Project of China (Grant NO. 2019YFC0409004) and National Natural Science Foundation of China (Grant NO. 91747203 and 41971025). The project is supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). We would like to thank the National Climate Centre in Beijing for providing valuable climate datasets.

Author information

Authors and Affiliations

Authors

Contributions

J.T. wrote and revised the original draft. Z.Z., R.K., and F.Z. provided the datasets including the required supporting geoinformation software needed for the analyses; B.Z. and X.C. cooperated in designing and improving the concept of the research project and related processes; J.T. and S.J. conducted the data processing and analysis. All the authors participated actively in preparing and reviewing the manuscript.

Corresponding author

Correspondence to Zengxin Zhang.

Ethics declarations

Conflicts of interest

The authors declare no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tian, J., Zhang, Z., Kong, R. et al. Changes in water use efficiency and their relations to climate change and human activities in three forestry regions of China. Theor Appl Climatol 144, 1297–1310 (2021). https://doi.org/10.1007/s00704-021-03600-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-021-03600-5

Navigation