Abstract
Recently, research on ecosystem health assessment has become dominance in environmental and ecological science. In this paper, terrestrial ecosystem in the Yellow River Basin was chosen as the assessment subject and characteristics of the ecological pattern, functions and pressure were analyzed. 29 sub-watersheds were selected as assessment units and the terrestrial ecosystem health from 2000 to 2010 was assessed by using RS and GIS technologies with natural social economical features and influence factors. The results showed: (1) the overall health condition of the terrestrial ecosystem was moderate; (2) in the view of spatial distribution, ecosystem health condition in the upper reaches was better than that in the middle and lower reaches, and the condition in the lower reaches turned the worst; (3) in the view of time distribution, the terrestrial ecosystem health was degenerated from 2000 to 2010 and health conditions of only a few sub-watersheds were improved.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chen, X., Zhou, C.H.: Ecological security: Review of domestic and foreign. Progress in Geography 24(68-20) (2005)
Long, D., Zhang, S.C., Fan, C.Y.: The research of watershed ecosystem health assessment. Resources Science 28(4), 38–43 (2006)
Rapport, D.J.: Evolution of indicators of ecosystem health. In: Daniel, H. (ed.) Ecological Indicators, pp. 121–134. Elsevier Science Publishers Ltd., Barking (1992)
Ling, C.H., Cui, W., Pang, A.P., et al.: The progress of watershed ecological health assessment theory and methods. Progress in Geography 72(1), 9–17 (2008)
Hou, Q.L., Li, X.Q.: Discuss on healthy life of river. Yellow River Water Conservancy Press (2007)
Cai, Q.H.: Implementation opinions on maintain healthy Changjiang and promote harmony between human and water. Yangtze River (03), 1–3 (2005)
Wang, L.X.: Strengthen the fundamental role of hydrology, servicewatershed ecological protection. Hebei Water Resources (4), 22–41 (2005)
Ma, T.M.: Discussion on index system of health assessment in Liao River basin. Water Resources & Hydropower of Northeast China 26(293), 1–3+71 (2008)
Zhang, Z.: An assessment of watershed ecosystem health in Dongting Lake based on RS and GIS. Hebei Normal University (2010)
Chen, C., Wang, W.J., Wang, W., et al.: Assessment of ecosystem health in Jiulong river basin and measures for management. Journal of Hunan University of Science & Technology(Natural Science Edition) 28(3), 121–128 (2013)
Shangguan, X.M.: Research on the wetland ecosystem health assessment of the Yellow River Basin Delta. Shandong Normal University (2013)
Fu, Y.X., Zhao, J., Li, W.: Ecological Sensitivity Assessment of Maqu Wetland in Upper Yellow River. Yellow River 36(1), 65–66, 67 (2014)
Wu, B.F., Luo, Z.M.: Ecosystem health assessment of Daning river basin in the three gorges reservoir based on remote sensing. Resources and Environment in the Yangtze Basin 16(1), 102–106 (2007)
Zheng, M.H., Li, Z., Liu, L., et al.: Discussion on the Yellow River ecological protection measures. Water Resources Development Research (2012)
Zhang, S.K., Huang, J.H., Yang, C.Y., et al.: Survey and Analysis of Pollution Sources in Yellow River Basin. Yellow River 33(12), 45–47 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, C. et al. (2015). Assessment of Terrestrial Ecosystem Health in the Yellow River Basin. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_41
Download citation
DOI: https://doi.org/10.1007/978-3-662-45737-5_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
Online ISBN: 978-3-662-45737-5
eBook Packages: Computer ScienceComputer Science (R0)