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     Advance Journal of Food Science and Technology


Study of Value Assessment Model of Forest Biodiversity Based on the Habitat Area in China

1Ying Zhang, 1Hui Li and 2Ye Feng
1School of Economics and Management, Beijing Forestry University, Beijing 100083, China
2The School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
Advance Journal of Food Science and Technology  2014  3:297-302
http://dx.doi.org/10.19026/ajfst.6.27  |  © The Author(s) 2014
Received: January 14, 2013  |  Accepted: February 07, 2013  |  Published: March 10, 2014

Abstract

Forest biodiversity is an important part of biodiversity. There is an essential significance of studying forest biodiversity assessment for promoting the conservation of biodiversity and enhancing biodiversity management in China. This study collected forest biodiversity habitat area, output value of forestry and so on forest biodiversity assessment-related data from 2001 to 2010 in China and using optimal control methods in cybernetics to establish value assessment model of forest biodiversity based on the data of habitat area, as well as calculated the optimal price for forest biodiversity assessment. The result showed that forest biodiversity habitat assessment of the optimal price is 9,970 RMB Yuan/ha and there is a dynamic model for forest biodiversity assessment. Finally, the study suggested that studies of forest biodiversity assessment in China, in particular, studying of valuation of forest biodiversity should consider using shadow price and the social, economic and other factors should be taken into account.

Keywords:

Biodiversity, forest, habitat assessment model, management,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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