[1]LI Jian-guo,LIU Jin-ping,LIU Li-li,et al.A Measure Method and Its Application in the Development Level of Regional Plant Production—Taking Shilin Town at Wansheng District of Chongqing City as an Example[J].Research of Soil and Water Conservation,2010,17(03):201-207.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
17
Number of periods:
2010 03
Page number:
201-207
Column:
Public date:
2010-06-20
- Title:
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A Measure Method and Its Application in the Development Level of Regional Plant Production—Taking Shilin Town at Wansheng District of Chongqing City as an Example
- Author(s):
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LI Jian-guo1, LIU Jin-ping1,2, LIU Li-li1, GUO Qing-qing1, DOU Xian-ming3, GUAN Bing1, CHENG Xiao-yun1, SHAO Jing-an1
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1. School of Geographical Sciences, Chongqing Normal University, Chongqing 400047, China;
2. The Key Laboratory of Application of GIS in Chongqing, Chongqing 400047, China;
3. School of Resource and Earth Science, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China
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- Keywords:
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plant production development index; cultivated land change; Shilin town
- CLC:
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S344
- DOI:
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- Abstract:
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With the rapid development of economy and advancement of industrialization and urbanization, agriculture problems are becoming increasingly obvious. It becomes particularly important whether we are able to make comprehensive and objective quantitative assessment on the development level of regional plant production. This paper presents the concept of regional plant production development index. And the measurement model for the development level of regional plant production was built based on the agricultural production fluctuation coefficient, minimum per capita cropland and pressure index on cropland. Taking Shilin Town at Wansheng District of Chongqing as an example, we carried on dynamic research and forecasting in its development level of regional plant production by the model. The results show that the development index in regional plant production of Shilin Town is taking in downward trend and such phenomenon may become even worse in the next five years. So we put forwards the corresponding adjusting and controling measures based on the dynamic analysis and forecasting results.