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Pollen-climate response surfaces of selected taxa from Northern China

机译:中国北方部分生物分类的花粉气候响应面

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Pollen-climate response surfaces of major taxa from surface pollen data of Northern China is studied. Response surfaces are nonlinear functions that describe the way in which each taxon's expected abundance (the response variables) depends on the combined effects of several envirommental variables (prediction variables). Response surfaces for 8 major taxa—Pinus, Picea, Betula, Artemisia, Ephedra, Chenopodiaceae, Asteraceae and Poaceae―from 215 surface pollen samples and related climatic data (mean July temperature and annual precipitation) have been generated by analysis of second- or third-degree polynomial regression. Surface samples were collected from surface soil under natural vegetation of Northern China. The results can be used to re-evaluate the ecological significance of abundances of some taxa by quantifying the paleoclimatic variables from fossil pollen abundances.
机译:从中国北方的表面花粉数据研究了主要分类单元的花粉气候响应面。响应面是非线性函数,用于描述每个分类单元的预期丰度(响应变量)取决于多个环境变量(预测变量)的组合影响的方式。通过分析第二或第三次花粉样品,从215个表面花粉样品和相关的气候数据(7月平均温度和年降水量)中生成了8个主要分类单元(松,云杉,桦,艾蒿,麻黄,藜科,菊科和禾本科)的响应面。度多项式回归。从中国北方自然植被下的表层土壤中收集地表样品。通过量化化石花粉丰度的古气候变量,该结果可用于重新评估某些分类群的生态学意义。

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