模拟科罗拉多州亚高山和高山森林-气候相互作用:利用GIS的比较研究

S. Jennings, E. Billmeyer
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引用次数: 3

摘要

利用GIS模拟了5种亚高山和山地树种的分布与降水和温度的相关性。结果与Thompson等人(2000)提供的数据进行了比较。利用独立斜坡参数高程回归模型(PRISM)、美国国家气候数据中心(NCDC)站数据和SNOTEL系统数据,对亚高山冷杉(Abies concolor)、Engelmann云杉(Picea engelmannii)、长杆松(Pinus contorta)、柔木松(Pinus flexilis)和硬尾松(Pinus aristata)的降水和温度场分布进行了比较。利用Little(1971)和CoGAP(2001)的植物分布图来确定与所选树种相关的温度和降水。本研究的估计与Thompson, Anderson & Bartlein(2000)的估计进行了比较。在许多情况下,降水量和温度值高于Thompson, Anderson & barttlein(2000)的结果。提出了提高GIS分析在气候和植物变率制图中的预测能力的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Subalpine and Upper Montane Forest-Climate Interactions in Colorado: A Comparative Study Using GIS
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 (Pinus flexilis) 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.
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