基于地理信息系统(GIS)的黄喉貂生境特征分析(食肉目:貂科)

S. Lim, J. Min, Y. Park
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引用次数: 4

摘要

利用地理信息系统(GIS)对黄喉貂(Martes flavigula)的生境特征进行了研究。利用目标哺乳动物足迹的GPS坐标和7个生境因子进行GIS分析。选择五台山国家公园(ONP)作为研究区,进行生境特征的GIS分析。根据ONP全区的GIS分析,主要的森林类型为阔叶树,占森林的72%。4至6龄级的树木占ONP森林的93%。ONP的平均高程和坡度分别为901 m和22.1 o。通过对黄曲霉生境的GIS分析,黄曲霉主要分布在黄曲霉的主要林型阔叶林和针叶林中。此外,在未放养的森林中,黄喉貂的出现率相对较高,为7%,远低于ONP面积的1%。大多数貂的痕迹是在森林中发现的,森林中有4至6年级的树木。与ONP相比,高海拔(1080.3 m)和低坡度(15.0 o)的林型中均有这些痕迹。在距水体600 m范围内,貂儿痕迹的出现率为96%。在距离人类居住区和耕地1400米以外的地方也经常发现这些痕迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Habitat Characteristics of the Yellow-throated Marten Martes flavigula (Carnivora : Mustelidae) Using Geographic Information System (GIS)
We investigated habitat characteristics of the yellow-throated marten Martes flavigula (Carnivora : Mustelidae) using geographic information system (GIS). GPS coordinates of the target mammal traces and seven habitat factors were used for the GIS analysis. The Odaesan National Park (ONP) is selected as a study area for GIS analysis of the habitat characteristics. According to the GIS analysis of whole area of ONP, main forest type was broadleaf trees which occupy 72% of forests. Trees of 4th to 6th age-calss account for 93% of the ONP forests. The mean elevation and slope of ONP was 901 m and 22.1 o , respectively. According to the GIS analysis of M. flavigula habitats in ONP, most M. flavigula traces were found in borad-leaf forests and coniferous forests which are main forest types of ONP. In addition, the yellow-throated marten recorded a relatively high appearance rate of 7% in unstocked forests, which account for much less than 1% of the area of ONP. Most of the marten traces were found in forests with trees of 4th to 6th age-classes. The traces were found in the forest types in higher elevation (1,080.3 m) and lower slope (15.0 o ) on average, compared with those of ONP. Appearance rate of the marten traces was 96% in range less than 600 m from the water. The traces were frequently found in areas far distantly beyond 1,400 m range from human residental areas and cultivated areas.
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