Research Article | OPEN ACCESS
Ecosystem Services Estimation Based on Food Production in Xinjian County of Nanchang City, East China
1Xiaofan Zhao and 2Fengming Xi
1Department of Management, Shenyang Normal University, Shenyang 110034, China
2Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Advance Journal of Food Science and Technology 2015 12:948-952
Received: November 10, 2014 | Accepted: January 8, 2015 | Published: April 25, 2015
Abstract
This study investigated estimation on ecosystem services value based on food production in Xinjian County of Nanchang City, East China. We used two Landsat TM data sets (1996, 2004) to estimate changes in the size of seven land use categories and we used the most recently published value equivalent to estimate changes in the values of ecosystem services. The total value of ecosystem services in Xinjian County was 4588.2 million Yuan in 1996 and 4587.8 million Yuan in 2004, with a decrease of 340.8 thousand Yuan mainly due to the relatively biggish decrement in values of ecosystem service functions for waste treatment, hydrology regulation and food production, although the values for all the other six ecosystem service functions showed an escalating trend from 1996 to 2004. We concluded that future local land use plan should give priority to the conservation of these reductive ecosystems, in order to promote and maintain the balance of local ecosystem.
Keywords:
Ecosystem services, food production, land use, value estimation, Xinjian county,
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.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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