Skip to main content
Log in

Causal effects of shelter forests and water factors on desertification control during 2000–2010 at the Horqin Sandy Land region, China

  • ORIGINAL PAPER
  • Published:
Journal of Forestry Research Aims and scope Submit manuscript

Abstract

The Horqin Sandy Land (HSL), the largest sandy land in the semi-arid agro-pastoral ecotone of Northeast China, has been subject to desertification during the past century. In response, and to control the desertification, government implemented the Three-North Shelter/Protective Forest Program, world’s largest ecological reforestation/afforestation restoration program. The program began in 1978 and will continue for 75 years until 2050. Understanding the dynamics of desertification and its driving forces is a precondition for controlling desertification. However, there is little evidence to directly link causal effects with desertification process (i.e., on the changing area of sandy land) because desertification is a complex process, that can be affected by vegetation (including vegetation cover and extent of shelter forests) and water factors such as precipitation, surface soil moisture, and evapotranspiration. The objectives of this study were to identify how influencing factors, especially shelter forests, affected desertification in HSL over a recent decade. We used Landsat TM imagery analysis and path analysis to identify the effects of spatio-temporal changes in water and vegetation parameters during 2000–2010. Desertification was controlled during the study period, as indicated by a decrease in desert area at a rate of 163.3 km2 year−1 and an increase in the area with reduced intensity or extent of desertification. Total vegetation cover in HSL increased by 10.6 % during the study period and this factor exerted the greatest direct and indirect effects on slowing desertification. The contribution of total vegetation cover to controlling desertification increased with the intensity of desertification. On slightly and extremely severe desertified areas, vegetation cover contributed 5 and 42 % of the desertification reduction, respectively. There were significant correlations between total vegetation cover and water conditions (i.e., evapotranspiration and precipitation) and the area of shelter forests (P < 0.0001), in which water conditions and the existence of shelter forests contributed 49.7 and 12.8 % to total vegetation cover, respectively. The area of shelter forests increased sharply due to program efforts, but only shrub forests had significant direct effects on reducing the area of desertification categorized as slightly desertified. The reason for the lack of direct effect of increased arbor forests (accounting for 95.3 % of the total increase in shelter forests) on reducing desertification might be that the selected arbor species were not suited to water conditions (low precipitation, high evapotranspiration) prevailing at HSL. The establishment of shelter forests aided control of desertification in the HSL region, but the effect was less than expected. Effective control of desertification in the HSL region or other similar sandy areas will require greater improvements in vegetation cover. In particular, shrub species should be selected for plantation with reference to their potential to survive and reproduce in the harsh climatic and weather conditions typical of desertified areas.

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

Similar content being viewed by others

References

  • Bayramov E, Buchroithner MF, McGurty E (2012) Determination of main climate and ground factors controlling vegetation cover regrowth along oil and gas pipelines using multiple, spatial and geographically weighted regression procedures. Environ Earth Sci 66:2047–2062

    Article  Google Scholar 

  • Bureau of the Three-North Shelter Forest Construction (1993) Master plan scheme for the shelter forest system program in Three-North regions of China. Ningxia People’s Publishing House, Yinchuan

    Google Scholar 

  • Cao SX (2011) Impact of China’s large-scale ecological restoration program on the environment and society in arid and semiarid areas of China: achievements, problems, synthesis, and applications. Crit Rev Environ Sci Technol 41:317–335

    Article  CAS  Google Scholar 

  • Cao S, Wang G, Chen L (2010) Questionable value of planting thirsty trees in dry regions. Nature 465:31

    Article  CAS  PubMed  Google Scholar 

  • Cao SX, Chen L, Shankman D, Wang CM, Wang XB, Zhang H (2011) Excessive reliance on afforestation in China’s arid and semi-arid regions: lessons in ecological restoration. Earth Sci Rev 104:240–245

    Article  Google Scholar 

  • Chang XL, Zhao XY, Han ZX, Cui BL, Chen YL (2005) Cumulative impacts of human activities and natural elements on desertification in Horqin Sand Land. J Desert Res 25:466–471

    Google Scholar 

  • Du ZT, Zhan YL, Wang CY, Song GZ (2009) The dynamic monitoring of desertification in Horqin Sandy Land on the basis of MODIS NDVI. Remote Sens Land Resour 2:14–18

    Google Scholar 

  • Duan L, Liu T, Wang X, Wang G, Ma L, Luo Y (2011) Spatio-temporal variations in soil hydrology of a typical semiarid sand-meadow-desert landscape. Hydrol Earth Syst Sci 8:1895–1928

    Article  Google Scholar 

  • Elmore AJ, Manning SJ, Mustard JF, Craine JM (2006) Decline in alkali meadow vegetation cover in California: the effects of groundwater extraction and drought. J Appl Ecol 43:770–779

    Article  Google Scholar 

  • Gutman G, Ignalov A (1998) The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int J Remote Sens 19:1533–1543

    Article  Google Scholar 

  • Han ZW, Wang T, Yan CZ, Liu YB, Liu LC, Li AM, Du HQ (2010) Change trends for desertified lands in the Horqin Sandy Land at the beginning of the twenty-first century. Environ Earth Sci 59:1749–1757

    Article  Google Scholar 

  • Hao SJ, Li YC, Guo YY, Li WJ, Sun DM (2004) Demonstration research on comprehensive shelter system at sandy land of Wengniute County. Inn Mong For Investig Des 3:60–61

    Google Scholar 

  • Hao FH, Zhang X, Ouyang W, Skidmore AK, Toxopeus AG (2012) Vegetation NDVI linked to temperature and precipitation in the upper catchments of Yellow River. Environ Model Assess 17:389–398

    Article  Google Scholar 

  • Hu MC (1991) A primary about the quantitative classification indexes of desertification-prone land, Horqin Sand Land. J Desert Res 11:57–60

    Google Scholar 

  • Huffman GJ, Adler RF, Rudolf B, Schneider U, Keehn PR (1995) Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information. J Clim 8:1284–1295

    Article  Google Scholar 

  • Jiang H, Strittholt JR, Frost PA, Slosser NC (2004) The classification of late seral forests in the Pacific Northwest, USA using Landsat ETM + imagery. Remote Sens Environ 91:320–331

    Article  Google Scholar 

  • Jiapaer GL, Chen X, Bao AM (2011) A comparison of methods for estimating fractional vegetation cover in arid regions. Agric For Meteorol 151:1698–1710

    Article  Google Scholar 

  • Kassas M (1995) Desertification: a general review. J Arid Environ 30:115–128

    Article  Google Scholar 

  • Lapitan RL, Parton WJ (1996) Seasonal variabilities in the distribution of the microclimatic factors and evapotranspiration in a shortgrass steppe. Agric For Meteorol 79:113–130

    Article  Google Scholar 

  • Lei JQ, Li SY, Jin ZZ, Fan JL, Wang HF, Fan DD, Zhou HW, Gu F, Qiu YZ, Xu B (2008) Comprehensive eco-environmental effects of the shelter-forest ecological engineering along the Tarim Desert Highway. Chin Sci Bull 53:190–202

  • Li XY, Yang J, Wang LX (2004) Quantitative analysis on driving role of human activity on the land desertification in arid area: the case of Tarim River Basin. Resour Sci 26:30–37

  • Li YL, Cui JY, Zhang TH, Okuro T, Drake S (2009) Effectiveness of sand-fixing measures on desert land restoration in Kerqin Sandy Land, northern China. Ecol Eng 35:118–127

    Article  Google Scholar 

  • Lichter J (2000) Colonization constraints during primary succession on coastal Lake Michigan sand dunes. J Ecol 88:825–839

    Article  Google Scholar 

  • Lillesand TM, Kiefer RW (2000) Remote sensing and image interpretation, 4th edn. Wiley, New York

    Google Scholar 

  • Loik ME, Breshears DD, Lauenroth WK, Belnap J (2004) A multi-scale perspective of water pulses in dryland ecosystems: climatology and ecohydrology of the western USA. Oecologia 141:269–281

    Article  PubMed  Google Scholar 

  • Ma Q (2004) Appraisal of tree planting options to control desertification: experiences from Three-North Shelterbelt Programme. Int For Rev 6:327–334

    Google Scholar 

  • Mitsch WJ, Jorgensen SE (2003) Ecological engineering: a field whose time has come. Ecol Eng 20:363–377

    Article  Google Scholar 

  • Moiwo JP, Tao FL, Lu WX (2011a) Estimating soil moisture storage change using quasi-terrestrial water balance method. Agric Water Manag 102:25–34

    Article  Google Scholar 

  • Moiwo JP, Yang YH, Yan NN, Wu BF (2011b) Comparison of evapotranspiration estimated by ETWatch with that derived from combined GRACE and measured precipitation data in Hai River Basin, North China. Hydrol Sci J 56:249–267

    Article  Google Scholar 

  • Njoku EG, Jackson TJ, Lakshmi V, Chan TK, Nghiem SV (2003) Soil moisture retrieval from AMSR-E. IEEE Trans Geosci Remote Sens 41:215–229

    Article  Google Scholar 

  • Odorico PO, Caylor K, Okin GS, Scanlon TM (2007) On soil moisture-vegetation feedbacks and their possible effects on the dynamics of dryland ecosystems. J Geophys Res 112:1–10

    Google Scholar 

  • Price JC (1993) Estimating leaf area index from satellite data. IEEE Trans Geosci Remote Sens 31:727–734

    Article  Google Scholar 

  • Sexton JO, Urban DL, Donohue MJ, Song CH (2013) Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record. Remote Sens Environ 128:246–258

    Article  Google Scholar 

  • Shipley B (2000) Cause and correlation in biology: a user’s guide to path analysis, structural equations and causal inference. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Su YZ, Zhao WZ, Su PX, Zhang ZH, Wang T, Ram R (2007) Ecological effects of desertification control and desertified land reclamation in an oasis-desert ecotone in an arid region: a case study in Hexi Corridor, northwest China. Ecol Eng 29:117–124

    Article  Google Scholar 

  • Wang T (2000) Land use and sandy desertification in the north China. J Desert Res 20:103–113

    CAS  Google Scholar 

  • Wang HJ, Zhou H (2003) A simulation study on the eco-environmental effects of 3 N Shelterbelt in North China. Glob Planet Chang 37:231–246

    Google Scholar 

  • Wang T, Wu W, Zhao HL, Hu MC, Zhao AG (2004) Analyses on driving factors to sandy desertification process in Horqin Region, China. J Desert Res 24:519–528

    CAS  Google Scholar 

  • Wang X, Chen F, Hasi E, Li J (2008) Desertification in China: an assessment. Earth Sci Rev 88:188–206

    Article  Google Scholar 

  • Wang XM, Zhang CX, Hasi E, Dong ZB (2010) Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China? J Arid Environ 74:13–22

    Article  Google Scholar 

  • Williams WA, Jones MB, Demment MW (1990) A concise table for path analysis. Agron J 82:1022–1024

    Article  Google Scholar 

  • Wu B, Xiong J, Yan N, Yang L, Du X (2008) ETWatch for monitoring regional evapotranspiration with remote sensing. Adv Water Resour 19:671–678

    Google Scholar 

  • Yan CZ, Song X, Zhou YM, Duan HC, Li S (2009) Assessment of aeolian desertification trends from 1975’s to 2005’s in the watershed of the Longyangxia Reservoir in the upper reaches of China’s Yellow River. Geomorphology 112:205–211

    Article  Google Scholar 

  • Yan QL, Zhu JJ, Hu ZB, Sun OJ (2011) Environmental impacts of the shelter forests in Horqin Sandy Land, Northeast China. J Environ Qual 40:815–824

    Article  CAS  PubMed  Google Scholar 

  • Yin RS (2009) An integrated assessment of China’s ecological restoration programs. Springer, New York

    Book  Google Scholar 

  • Zhang GL, Dong JW, Xiao XM, Hu ZM, Sheldon S (2012) Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data. Ecol Eng 38:20–29

    Article  Google Scholar 

  • Zhao W, Zhang TH, Zhao XY, Pan MH (2008) Dynamics of groundwater depth in typical zone of Horqin Sand Land from 2002 to 2006. J Desert Res 28:995–1000

  • Zhu JJ, Li FQ, Xu ML, Kang HZ, Wu XY (2008) The role of ectomycorrhizal fungi in alleviating pine decline in semiarid sandy soil of northern China: an experimental approach. Ann For Sci 65:1–12

    Article  Google Scholar 

Download references

Acknowledgments

We thank Jianping Zhang, Weiyue Li and Liyan Huang for help with image processing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiaojun Zhu.

Additional information

Project funding: This research was supported by grants from the National Nature Science Foundation of China (31025007) and the Knowledge Innovation Program of the Chinese Academy of Sciences (KZCX1-YW-08-02).

The online version is available at http://www.springerlink.com

Corresponding editor: Hu Yanbo

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, Q., Zhu, J., Zheng, X. et al. Causal effects of shelter forests and water factors on desertification control during 2000–2010 at the Horqin Sandy Land region, China. J. For. Res. 26, 33–45 (2015). https://doi.org/10.1007/s11676-014-0012-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11676-014-0012-x

Keywords

Navigation