Environmental Earth Sciences

, Volume 71, Issue 2, pp 647–658

Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China

  • Peijuan Wang
  • Donghui Xie
  • Yuyu Zhou
  • Youhao E
  • Qijiang Zhu
Original Article

Abstract

The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper, we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R2 of 0.746 and lower root mean square error (RMSE) of 46.53 gC m−2 compared to R2 of 0.662 and RMSE of 60.19 gC m−2 from original BEPS. The modeled NPP of three vegetation types using improved BEPS shows evident differences compared to that using original BEPS, with the highest difference ratio of 9.21 % in forest and the lowest value of 4.29 % in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS is higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones.

Keywords

Net primary productivity Arid and semi-arid regions BEPS 

References

  1. Chen JM, Liu J, Cihlar J, Guolden ML (1999) Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing application. Ecol Model 124:99–119CrossRefGoogle Scholar
  2. Chen JM, Chen XY, Ju WM, Geng XJ (2005) Distribution hydrological model for mapping evapotranspiration using remote sensing inputs. J Hydrol 305:15–39CrossRefGoogle Scholar
  3. Chen XF, Chen JM, An SQ, Ju WM (2007) Effects of topography on simulated net primary productivity at landscape scale. J Environ Manage 85:585–596CrossRefGoogle Scholar
  4. Feng XF, Liu GH, Chen JM, Chen MZ, Liu J, Ju WM, Sun R, Zhou WZ (2007) Net primary productivity of China’s terrestrial ecosystem from a process model driven by remote sensing. J Environ Manage 85:563–573CrossRefGoogle Scholar
  5. Foley JA, Prentice IC, Ramankutty N, Levis S, Pollard D, Sitch S, Haxeltine A (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochem Cycles 10(4):603–628CrossRefGoogle Scholar
  6. Hunt ER Jr, Running SW (1992) Simulated dry matter yields for aspen and spruce stand in the North American Boreal Forest. Can J Remote Sensing 18:126–133Google Scholar
  7. Ju WM, Chen JM, Black TA, Barr AG, Liu J, Chen BZ (2006) Modelling multi-year coupled carbon and water flues in a boreal aspen forest. Agric For Meteorol 140:136–151CrossRefGoogle Scholar
  8. Leith H, Whittaker RH (1975) Primary productivity of the biosphere. Springer-Verlag, New YorkCrossRefGoogle Scholar
  9. Liu MG (2010) Atlas of physical geography of China. SinoMaps Press, BeijingGoogle Scholar
  10. Liu J, Chen JM, Cihlar J, Park W (1997) A process—based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sens Environ 62:158–175CrossRefGoogle Scholar
  11. Liu J, Chen JM, Cihlar J, Chen W (1999) Net primary productivity distribution in the boreal region from a process model using satellite and surface data. J Geophys Res 104(D22):27735–27754CrossRefGoogle Scholar
  12. Liu J, Chen JM, Cihlar J, Chen W (2002) Net primary productivity mapped for Canada at 1-km resolution. Glob Ecol Biogeogr 11:115–129CrossRefGoogle Scholar
  13. Liu J, Chen JM, Cihlar J (2003) Mapping evapotranspiration based on remote sensing: an application to Canada’s landmass. Water Resour Res 39(7):1189–1203CrossRefGoogle Scholar
  14. Liu CM, Wang ZG, Zhen HX, Zhang L, Wu XF (2008) Development and applications of HIMS system and its modules. Scientia Sinica Technologica 38(3):350–360 (in Chinese)Google Scholar
  15. Liu JF, Xiao WF, Guo CM, Wu HP, Jiang ZP (2011a) Pattern analysis of net primary productivity of China terrestrial vegetation using 3-PGS model. Scientia Silvae Sinicae 47(5):16–22 (in Chinese with English abstract)Google Scholar
  16. Liu X, He B, Li Z, Zhang J, Wang L, Wang Z (2011b) Influence of land terracing on agricultural and ecological environment in the loess plateau regions of China. Environ Earth Sci 62:797–807CrossRefGoogle Scholar
  17. Lu L, Li X, Veroustraete F (2005) Terrestrial net primary productivity and its spatial-temporal variability in western China. Acta Ecologica Sinica 25(5):1026–1032 (in Chinese with English abstract)Google Scholar
  18. Matsushita B, Tamura M (2002) Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia. Remote Sens Environ 81(1):58–66CrossRefGoogle Scholar
  19. Matsushita B, Xu M, Chen J, Kameyama S, Tamura M (2004) Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: how important is the accuracy of climate data? Ecol Model 178:371–388CrossRefGoogle Scholar
  20. Piao SL, Fang JY (2002) Terrestrial net primary production and its spatio-temporal patterns in Qinghai-Xizang Plateau, China during 1982–1999. J Nat resour 17(3):373–380 (in Chinese with English abstract)Google Scholar
  21. Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Kloster SA (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem Cycles 7(4):811–841CrossRefGoogle Scholar
  22. Running SW, Coughlan JC (1988) A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes. Ecol Model 42:125–154CrossRefGoogle Scholar
  23. Soulis ED, Snelgrove KR, Kouwen N, Seglenieks F, Verseghy DL (2000) Towards closing the vertical water balance in Canadian atmospheric models: coupling of the land surface scheme class with the distributed hydrological model watflood. Atmos Ocean 38:251–269CrossRefGoogle Scholar
  24. Sun R, Zhu QJ (2000) Distribution and seasonal change of net primary productivity in China from April, 1922 to March, 1993. Acta Geographica Sinica 55(1):36–45 (in Chinese with English abstract)Google Scholar
  25. Wang PJ, Sun R, Zhu QJ, Xie DH, Chen JM (2006) Improvement on the abilities of BEPS under accidented terrain. J Imag Gr 11(7):1017–1025 (in Chinese with English abstract)Google Scholar
  26. Wang PJ, Sun R, Hu JC, Zhu QJ, Zhou YY, Li L, Chen JM (2007) Measurements and simulation of forest leaf area index and net primary productivity in Northern China. J Environ Manage 85:607–615CrossRefGoogle Scholar
  27. Wang B, Yang S, Lv C, Zhang J, Wang Y (2010) Comparison of net primary productivity in karst and non-karst areas: a case study in Guizhou Province, China. Environ Earth Sci 59:1337–1347CrossRefGoogle Scholar
  28. Winslow JC, Hunt ER, Piper SC (2001) A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data. Ecol Model 143:227–243CrossRefGoogle Scholar
  29. Zhang J, Pan XL (2010) Spatial pattern and seasonal dynamics of net primary productivity in mountain—oasis—desert ecosystem on the north piedmont of Tianshan Mountains in arid north-west China. Arid Land Geography 33(1):78–86 (in Chinese with English abstract)Google Scholar
  30. Zhang Y, Zhou G (2011) Exploring the effects of water on vegetation change and net primary productivity along the IGBP Northeast China Transect. Environ Earth Sci 62:1481–1490CrossRefGoogle Scholar
  31. Zhang KK, Bu CF, Gao GX (2011) Effect of microbiotic crust on soil water infiltration in the loess plateau. Arid Zone Res 28(5):808–812 (in Chinese with English abstract)Google Scholar
  32. Zhou WZ, Liu GH, Pan JJ, Feng XF (2005) Distribution of available soil water capacity in China. J Geog Sci 15(1):3–12Google Scholar
  33. Zhou YY, Zhu QJ, Chen JM, Wang YQ, Liu J, Sun R (2007) Observation and simulation of net primary productivity in Qilian Mountain, western China. J Environ Manage 85:574–584CrossRefGoogle Scholar
  34. Zhou X, Yan Y, Wang H, Zhang F, Wu L, Ren J (2011) Assessment of eco-environment vulnerability in the northeastern margin of the Qinghai-Tibetan Plateau, China. Environ Earth Sci 63:667–674CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Peijuan Wang
    • 1
  • Donghui Xie
    • 2
  • Yuyu Zhou
    • 3
  • Youhao E
    • 1
  • Qijiang Zhu
    • 2
  1. 1.Chinese Academy of Meteorological SciencesBeijingChina
  2. 2.State Key Laboratory of Remote Sensing ScienceJointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of SciencesBeijingChina
  3. 3.Joint Global Change Research InstituteCollege ParkUSA

Personalised recommendations