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Modeling Subalpine and Upper Montane Forest-Climate Interactions in Colorado: A Comparative Study Using GIS

机译:模拟科罗拉多州的亚高山和上山区森林-气候相互作用:使用GIS的比较研究

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摘要

The correlation of the distribution of five subalpine and montane tree species with precipitation and temperature were modeled using GIS. The results were compared with data presented by Thompson et al. (2000). Distributions of subalpine fir (Abies concolor), Engelmann spruce (Picea engelmannii), lodgepole pine (Pinus contorta), limber pine (Pinusflexilis) and bristlecone pine (Pinus aristata) were compared to estimated precipitation and temperature fields that had been constructed from the Parameter-elevation Regressions on Independent Slopes Model (PRISM), National Climatic Data Center (NCDC) station data, and Snowpack Telemetry (SNOTEL) system data. Plant distribution maps from Little (1971) and CoGAP (2001) were used to determine the temperature and precipitation associated with the selected tree species. The estimates from this study were compared to those of Thompson, Anderson & Bartlein (2000). In many cases precipitation and temperatures values were higher than those of Thompson, Anderson & Bartlein (2000). Suggestions are made to improve the predictive power of GIS analysis for mapping climate and plant variability.
机译:利用GIS对5种亚高山和山地树种的分布与降水和温度的相关性进行了建模。将结果与Thompson等人提供的数据进行了比较。 (2000)。将亚高山冷杉(Abies concolor),Engelmann云杉(Picea engelmannii),黑松(Pinus contorta),弯角松(Pinusflexilis)和刚毛松(Pinus aristata)的分布与根据该参数构造的估计降水量和温度场进行了比较。 -独立斜坡模型(PRISM),国家气候数据中心(NCDC)站数据和Snowpack遥测(SNOTEL)系统数据的高程回归。来自Little(1971)和CoGAP(2001)的植物分布图用于确定与所选树木物种相关的温度和降水。这项研究的估计值与汤普森,安德森和巴特林(2000)的估计值进行了比较。在许多情况下,降水和温度值均高于汤普森,安德森和巴特林(2000)的值。提出了改善GIS分析对气候和植物变异性作图的预测能力的建议。

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