Kang Hag Mo, Choi Soo Im, Kim Hyun
Department of Forest Environmental Science, Chonbuk National University, Jeonju, 54896 South Korea.
Department of Forest Resources, Sunchon National University, Suncheon, 57922 South Korea.
Springerplus. 2016 Mar 31;5:394. doi: 10.1186/s40064-016-2031-x. eCollection 2016.
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.
本研究旨在探索一种利用地理信息系统（GIS）和地温（gT）来精确识别选址的技术，以确定适合种植园参（CMG；Panax ginseng）的地点，园参对其生长的环境条件高度敏感。研究地点为韩国济南郡。地理数据的空间分辨率设定为10米×10米，影响园参生长的各种气候因素的温度通过韩国气象厅自动气象站获取的3年温度平均值来计算。采用传统方法和一种新方法来确定适合园参种植的地点，新方法中将地温作为作物种植最重要的因素之一加入。然后比较两种方法得出的结果。当地温作为附加因素（新方法）加入时，与传统方法相比，确定的适宜地点比例下降了0.4%。然而，与实际园参种植地点匹配的比例提高了3.5%。此外，只有68.2%与使用传统因素确定的适宜地点相对应；即，31.8%是新检测到的适宜地点。除了传统使用的因素外，通过应用温度因素（即地温），基于GIS的园参适宜种植地点识别的准确性得到了提高。
