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Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature

Overview of attention for article published in SpringerPlus, March 2016
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Title
Identification of suitable sites for mountain ginseng cultivation using GIS and geo-temperature
Published in
SpringerPlus, March 2016
DOI 10.1186/s40064-016-2031-x
Pubmed ID
Authors

Hag Mo Kang, Soo Im Choi, Hyun Kim

Abstract

This study was conducted to explore an accurate site identification technique using a geographic information system (GIS) and geo-temperature (gT) for locating suitable sites for growing cultivated mountain ginseng (CMG; Panax ginseng), which is highly sensitive to the environmental conditions in which it grows. The study site was Jinan-gun, South Korea. The spatial resolution for geographic data was set at 10 m × 10 m, and the temperatures for various climatic factors influencing CMG growth were calculated by averaging the 3-year temperatures obtained from the automatic weather stations of the Korea Meteorological Administration. Identification of suitable sites for CMG cultivation was undertaken using both a conventional method and a new method, in which the gT was added as one of the most important factors for crop cultivation. The results yielded by the 2 methods were then compared. When the gT was added as an additional factor (new method), the proportion of suitable sites identified decreased by 0.4 % compared with the conventional method. However, the proportion matching real CMG cultivation sites increased by 3.5 %. Moreover, only 68.2 % corresponded with suitable sites identified using the conventional factors; i.e., 31.8 % were newly detected suitable sites. The accuracy of GIS-based identification of suitable CMG cultivation sites improved by applying the temperature factor (i.e., gT) in addition to the conventionally used factors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 22%
Student > Master 2 22%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Engineering 2 22%
Medicine and Dentistry 2 22%
Environmental Science 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 3 33%