Skip to main content
SpringerLink
Log in

Estimating Net Primary Production in Xinjiang Through Remote Sensing

  • Chapter
  • First Online:
Water and Sustainability in Arid Regions

Abstract

Land cover components of photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV) were analyzed with satellite remote sensing technology and knowledge of the typical climate–vegetation characteristics of the arid region of Xinjiang in western China. The objective was to develop a Net Primary Productivity-Geography Processing Ecology Model (NPP-GPEM) of solar energy utilization efficiency based on remote sensing and ecological processes that would fit the arid region with reference to such remote sensing–ecological models as the Global Production Efficiency Model (GLO-PEM), Carbon Exchange between Vegetation, Soil, and Atmosphere (CEVSA), and Carnegie-Ames-Stanford Approach (CASA). The terrestrial ecosystem of Xinjiang was taken as an example for this study. Supported by NOAA/AVHRR (Advanced Very High Resolution Radiometer) meteorological satellite remote sensing data and climate data, the annual NPP of Xinjiang’s mountain–oasis–desert ecosystem from 1981 to 2000 was estimated at 1 km spatial resolution. Detection and analysis of spatio-temporal change also was performed. The results showed there were great differences in NPP spatial–temporal patterns in various regions. NPP increased in most parts of Xinjiang from the 1980s to the 1990s. The west part of the piedmont plain on the north slope of the Tian Shan Mountains had the largest increase in NPP in north Xinjiang, and Kashi-Shache Delta had the largest increase in south Xinjiang. The spatial distribution of NPP was characterized by a general decrease from north to south and from east to west.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Asner, G.P., A.J. Elmore, L.P. Olander, et al. 2004. Grazing systems and global change. Annual Reviews of Environment and Resources 29:261–299.

    Article  Google Scholar 

  • Asner, G.P., and K.B. Heidebrecht. 2005. Desertification alters regional ecosystem-climate interactions. Global Change Biology 11 (1): 182–194.

    Article  Google Scholar 

  • Asner, G.P., and K.B. Heidebrecht. 2002. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations. International Journal of Remote Sensing 23:3939–3958.

    Article  Google Scholar 

  • Asner, G.P., and D.B. Lobell. 2000. A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment 74:99–112.

    Article  Google Scholar 

  • Cao, M.K., S.D. Prince, and H.H. Shugart. 2002. Increasing terrestrial carbon uptake from the 1980s to the 1990s with changes in climate and atmospheric CO2[J]. Global Biogeochemical Cycle 16 (4): 1069, doi: 10.1029/2001 GB001553.

    Article  Google Scholar 

  • Cao, M.K., S.D. Prince, J. Small, et al. 2004. Remotely sensed inter annual variations and trends in terrestrial net primary productivity 1981-2000. Ecosystems 7:233–242.

    Article  Google Scholar 

  • Cao, M.K., and F.I. Woodward. 1998. Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature 393:249–252.

    Article  Google Scholar 

  • Chen, L.J., G.H. Liu, and X. Feng. 2001. Estimating net primary productivity of terrestrial vegetation in China using remote sensing. Acta Botanica Sinica 43 (11): 1191–1198.

    Google Scholar 

  • Colltaz, G.J., and J.T. Ball. 1991. Physiological and environmental regulation of stomata conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agriculture Forest Meteorology 54:107–136.

    Article  Google Scholar 

  • Field, C.B., J.T. Randerson, and C.M. Malmström. 1995. Global net primary production: combining ecology and remote sensing. Remote Sensing of Environment 51:74–88.

    Article  Google Scholar 

  • Gao, Z., J. Liu, M. Cao, et al. 2004. Impact of land use and climate change on regional net primary productivity. Acta Geographica Sinica 59 (4): 581–591.

    Google Scholar 

  • Goetz, S.J., and S.D. Prince. 1999. Modeling terrestrial carbon exchange and storage: the evidence for and implications of functional convergence in light use efficiency. Advances in Ecological Research 28:57–92.

    Article  Google Scholar 

  • Goetz, S.J., and S.D. Prince. 1998. Variability in carbon exchange and light utilization among boreal forest stands: implications for remote sensing of net primary production. Canadian Journal of Forest Research 28:375–389.

    Article  Google Scholar 

  • Goetz, S.J., and S.D. Prince. 1996. Remote sensing of net primary production in boreal forest stands. Agricultural and Forest Meteorology 78:149–179.

    Article  Google Scholar 

  • Huenneke, L.F., J.P. Anderson, M. Remmenga, et al. 2002. Desertification alters patterns of aboveground net primary production in Chihuahuan ecosystems. Global Change Biology 8:247–264.

    Article  Google Scholar 

  • Leemans, R., and W.P. Cramer. 1991. The IIASA database for mean monthly values of temperature, precipitation, and cloudiness on a global terrestrial grid: international institute for applied systems analysis, Luxemburg, Austria, 62–63.

    Google Scholar 

  • Liu, J. 1997. Macroscopical remote sensing investigation and dynamics study of national resources and environment. Journal of Remote Sensing 1 (3).

    Google Scholar 

  • Monteith, J.L. 1977. Climate and efficiency of crop production in Britain. Phil. Trans. Royal Soc. London B 281:277–294.

    Article  Google Scholar 

  • Monteith, J.L. 1972. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology 9:747–766.

    Article  Google Scholar 

  • Pan, X., and J. Chao. 2001. The effect of climate on development of ecosystems in oases. Advances in Atmospheric Sciences 18 (1): 42–53.

    Article  Google Scholar 

  • Philip, E.D., and A.R. Dar. 2003. End-member selection for multiple end-member spectral mixture analysis using end-member average RMSE. Remote Sensing of Environment 87:123–135.

    Article  Google Scholar 

  • Potter, C.S., J.T. Randerson, C.B. Field, et al. 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biochemical Cycle 7:811–841.

    Article  Google Scholar 

  • Prince, S.D. 1995. Global primary production: a remote sensing approach. Journal of Biogeography 22:316–336.

    Article  Google Scholar 

  • Prince, S.D. 1991. Satellite remote sensing of primary production: comparison of results from Sahelian grasslands 1981–1988. International Journal of Remote Sensing 12:1301–1311, 2361.

    Google Scholar 

  • Prince, S.D., and C.J. Tucker. 1986. Satellite remote sensing of rangelands in Bostwana. Part II: NOAA AVHRR and herbaceous vegetation. International Journal of Remote Sensing 7 (11): 1555–1570.

    Article  Google Scholar 

  • Running, S.W., R. Nemani, and J.M. Glassy. 1996. MOD17 PSN/NPP Algorithm Theoretical Basis Document, NASA.

    Google Scholar 

  • Running, S.W., P.E. Thornton, R. Nemani, et al. 2000. Global terrestrial gross and net primary productivity from the earth observing system. In: O. Sala, R. Jackson, H. Mooney (Eds.), Methods in Ecosystem Science. New York: Springer Verlag, 44–57.

    Google Scholar 

  • Schlesinger, W.H., J.F. Reynolds, G.L. Cunningham, et al. 1990. Biological feedbacks in global desertification. Science 247:1043–1048.

    Article  Google Scholar 

  • Steven, M.D., P.V. Biscoe, and K.W. Jaggard. 1983. Estimation of sugar beet productivity from reflection in the red and infrared bands. International Journal of Remote Sensing 4 (2): 325–334.

    Article  Google Scholar 

  • Sun, R., and Q. Zhu. 2000. Study on net primary productivity and seasonal changes of terrestrial vegetation in China. Acta Geographica Sinica 55 (1): 36–45.

    Google Scholar 

  • Sun, R., and Q. Zhu. 1999. Net primary productivity of terrestrial vegetation: a review on related researches. Chinese Journal of Applied Ecology 10 (6): 757–760.

    Google Scholar 

  • Tao, B., K. Li, X. Shao, and M. Cao. 2003. The temporal and spatial patterns of terrestrial net primary productivity in China, Journal of Geographical Sciences 13 (2): 163–171.

    Article  Google Scholar 

  • Tucker, C.J, C.L. Vanpraet, E. Boerwinkel, et al. 1983. Satellite remote sensing of total dry accumulation in the Senegalese Sahel. Remote Sensing of Environment 13:461–474.

    Article  Google Scholar 

  • Zhou, G., and X. Zhang. 1996. Climate-vegetation classification of China under global climate change. Acta Botanica Sinica 38 (1): 8–17.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Resources and Environmental Science, Key Laboratory of Oasis Ecology of Chinese Education Ministry, Xinjiang University;, Urumqi, Xinjiang, China

    Guanghui Lv

  2. College of Resources and Environmental Science, Key Laboratory of Oasis Ecology, Ministry of Education; Ecological Environment Institute of Xinjiang University, Urumqi, Xinjiang, China

    Weiguo Liu (Associate Professor), Jiangjun Yang (Lecturer) & Entao Yu (PhD Candidate)

Authors
  1. Guanghui Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Weiguo Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiangjun Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Entao Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. GDR CNRS 2524 Res-Eau-Ville, rue Saint Guillaume 28, Paris, 75007, France

    Graciela Schneier-Madanes

  2. Dépt. Sciences Humaines et Sociales, CNRS, rue Michel-Ange 3, Paris CX 16, 75794, France

    Marie-Francoise Courel

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Lv, G., Liu, W., Yang, J., Yu, E. (2010). Estimating Net Primary Production in Xinjiang Through Remote Sensing. In: Schneier-Madanes, G., Courel, MF. (eds) Water and Sustainability in Arid Regions. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2776-4_3

Download citation

Publish with us

Policies and ethics

Search

Navigation