Arid Environmental Characters Based on Eco-Information Transfer

Article Preview

Abstract:

Information type is complex diversity in accord with their characteristics including in arid area. Patterns of information linkage are studied in different matters,such as,between organisms and water, and between plant and animal, etc.The characters and process of the information transfer are also expounded, which is significant importance for understanding the mechanism, pattern, and tendency of building up models for restoration of the degraded arid environment. Based on investigation and analysis,ecological information characteristics have been pointed out,such as,multi-variate,multi-source,scale,compound,multi-dimension,complexity and systemic feature,and so on.Information flow and its simulation in arid environment also has its special features.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1840-1843

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hacke U G., J S. Sperry, J Pittermann. (2000). Drought experience and cavitation resistance in six shrubs from the Great Basin, Utah. Basic and Appl. Ecol. 1(1), pp.31-41.

DOI: 10.1078/1439-1791-00006

Google Scholar

[2] Todd J., J, Brown E J. G. and Wells E . (2003). Ecological design applied. Ecol. Eng. 20(5), pp.421-440.

Google Scholar

[3] Van den Brink, P. J., C D. (2006). Brown and I G. Dubus, Using the expert model PERPEST to translate measured and predicted pesticide exposure data into ecological risks, Ecol. Model. 191(1), pp.106-117.

DOI: 10.1016/j.ecolmodel.2005.08.015

Google Scholar

[4] Varley, N, M S. Boyce . (2006). Adaptive management for reintroductions: Updating a wolf recovery model for Yellowstone National Park, Ecol. Model. 193(3-4), pp.315-339.

DOI: 10.1016/j.ecolmodel.2005.09.001

Google Scholar

[5] Wiegand T., F. Jeltsch, I. Hanski and V. Grimm . (2003). Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and conservation practice, Oikos, 100(2), pp.209-222.

DOI: 10.1034/j.1600-0706.2003.12027.x

Google Scholar

[6] Solovjova, N. V. (1999). Synthesis of ecosystem and ecoscreening modeling in solving problems of ecological safety, Ecol. Model. 124(1), pp.1-10.

DOI: 10.1016/s0304-3800(99)00122-2

Google Scholar

[7] Ranghui Wang. (2011). Introduvtion to Ecological Information Science. Beijing: Science Press.

Google Scholar

[8] Favier, C., Chave, J., Fabing, A., Schwartz, D., Dubois, M.A., (2004). Modelling forest–savanna mosaic dynamics in man-influenced environments: effects of fire, climate and soil heterogeneity. Ecol. Model. 171, 85–102.

DOI: 10.1016/j.ecolmodel.2003.07.003

Google Scholar

[9] Daneil, D. E., John, L. T., (1981). Water in Arid Ecosystems. Academic Press, America.

Google Scholar

[10] Hess, G R, R A. Bartel, A K. Leidner. (2006). Effectiveness of biodiversity indicators varies with extent, grain, and region. Biol. Conserv. 132(4), pp.448-457.

DOI: 10.1016/j.biocon.2006.04.037

Google Scholar

[11] Gevrey M, S Worner, N Kasabov, J Pitt and J-L Giraudel. (2006). Estimating risk of events using SOM models: A case study on invasion species establishment, Ecol. Model. 197(3-4), pp.361-372.

DOI: 10.1016/j.ecolmodel.2006.03.032

Google Scholar