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基于兴隆山自然保护区及其周边地区30个样方的植被调查和表土花粉分析,运用R值计算方法和ERV模型估算了我国北方常见的几种乔木和草本植物花粉的代表性和相对花粉产量。R值显示蒿属花粉为超代表性,云杉属和沙棘属代表性略高,栎属和桦属代表性适中,禾本科和莎草科为低代表性。ERV模型估算结果显示云杉属、沙棘属和栎属的花粉产量较高,桦木属的花粉产量较低,而禾本科和莎草科的花粉产量很低。通过对结果的分析表明:云杉属、沙棘属、栎属、莎草科和禾本科根据R值计算得到的代表性结果和ERV模型估算得到的花粉产量结果有较好的一致性,但有很高背景花粉成分的桦属和蒿属的花粉产量较低,主要是由于R值没有考虑背景花粉成分对花粉百分比的影响。因此,在进行景观尺度的植被重建时一定要考虑背景花粉成分的影响,以确定当地是否有对应的母体植物大量分布。
Based on the vegetation survey and topsoil pollen analysis of 30 quadrats in Xinglongshan Nature Reserve and its surroundings, the representative and relative pollen yields of several species of arbor and herbaceous plants in northern China were estimated using R value calculation and ERV model . The R values showed that the pollen of Artemisia was super-representative, the representative of Picea and Hippophae was slightly higher, the Quercus and Betula were moderately representative, and the Poaceae and Cyperaceae were the lower representatives. The results of the ERV model show that pollen yields of Picea, Hippophae and Quercus are higher, pollen yields of Betula are lower, and pollen yields of Poaceae and Cyperaceae are very low. The analysis of the results shows that there are good agreement between the representative results obtained from the R value and the estimated pollen yield results obtained from the Picea, Hippophae, Quercus, Cyperaceae and Poaceae The high background pollen composition of the low yield of pollen of Betula and Artemisia is mainly due to R value does not consider the impact of background pollen composition on the percentage of pollen. Therefore, the impact of background pollen composition must be considered in the landscape-scale vegetation reconstruction to determine whether there is a large distribution of corresponding maternal plants in the area.