首页> 外文会议>Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International >GIS-assisted modelling of the spatial distribution of Qinghai spruce (Picea crassifolia) in the Qilian Mountains, northwestern China
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GIS-assisted modelling of the spatial distribution of Qinghai spruce (Picea crassifolia) in the Qilian Mountains, northwestern China

机译:GIS支持的祁连山青海云杉(Picea crassifolia)空间分布的建模

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The aim of this study was to predict Qinghai spruce (Picea crassifolia) distribution at the regional scale, i.e., where the extent of the prediction was within the biogeographic range of Qinghai spruce in the study area. First, we selected the main resource variables such as mean July temperature, soil moisture and solar radiation. These variables were spatialized as functions of elevation and geographical coordinates or as functions of aspect and slope via a GIS. Second, the niche spaces of Qinghai spruce were determined by incorporating the spatially-distributed resource variables with the current distribution of the species, which came from remote sensing data (Landsat TM image). The niche spaces defined then were extrapolated over the study area. Third the distribution pattern was calibrated by field investigations. The results show the niche spaces of Qinghai spruce: the scope of mean July temperature ranging from 8.5 /spl deg/C to 13.5/spl deg/C, average annual precipitation from 370 mm to 660 mm, the soil moisture index from 2.3 m/sup 3//m yr to 4.5 m/sup 3//m yr and the shortwave radiation for an average July day from 3.8 mm m/sup -2/ day/sup -1/ to 7.8 mm m/sup -2/ day/sup -1/. According to the niche, the elevation range belonging to Qinghai spruce in Qilian Mountains was extracted from DEM, which was about from 2600 m to 3400 m. The result was consistent with other investigations. We found that the density of the species has higher value from 2650 m to 3100 m based on the field investigation, and from the height 3100 m the density decreased with elevation increase. The basal area of Qinghai spruce had the same trend as the density. That is, the suitable niche of the species ranged from 2650 m to 3100 m.
机译:这项研究的目的是在区域范围内预测青海云杉(Picea crassifolia)的分布,即预测范围在研究区域内青海云杉的生物地理范围内。首先,我们选择了主要的资源变量,例如7月平均温度,土壤湿度和太阳辐射。这些变量通过GIS在空间上作为高程和地理坐标的函数,或者作为纵横比和坡度的函数。其次,通过将空间分布的资源变量与物种的当前分布相结合来确定青海云杉的生态位空间,这些变量来自遥感数据(Landsat TM图像)。然后将定义的利基空间外推到研究区域。第三,通过实地调查对分布模式进行了校准。结果表明,青海云杉的生态位空间为:7月平均温度范围为8.5 / spl deg / C至13.5 / spl deg / C,年平均降水量为370 mm至660 mm,土壤水分指数为2.3 m /每年sup 3 // m到4.5 m / s yr,平均7月的短波辐射从3.8 mm m / sup -2 /天/ sup -1 /到7.8 mm m / sup -2 /天/ sup -1 /。根据生态位,从DEM中提取了祁连山青海云杉的海拔范围,约为2600 m至3400 m。结果与其他调查一致。根据野外调查,我们发现该物种的密度在2650 m至3100 m之间具有较高的值,而从3100 m的高度,密度随海拔的升高而降低。青海云杉的基底面积与密度具有相同的趋势。也就是说,该物种的合适生态位在2650 m至3100 m的范围内。

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