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Pollen indicators of human activity
  • ISSN号:1001-6538
  • 期刊名称:科学通报(英文版)
  • 时间:0
  • 页码:1281-1293
  • 语言:中文
  • 分类:Q94[生物学—植物学]
  • 作者机构:[1]Laboratory for Earth Surface Processes, Department of Geography, Peking University, Beijing 100871, China
  • 相关基金:Supported by the National Natural Science Foundation of China (Grant No.40271105) and the National Basic Research Programme of China (Grant No.2004CB720207)
  • 相关项目:中国北方湖泊表层孢粉记录的相关源区研究
中文摘要:

过去人的活动和他们的环境效果的学习在全球变化研究的议程高。花粉集合的一个记录是为在风景上检测人的活动的影响采用的最普通的代理之一。在这评论,我们作为人的活动的指示物提供最近的进步上的一篇摘要和花粉的使用的讨论。为大多数与人的影响有关的研究,下列特征上被集中了:(1 ) 某些树花粉衰退;(2 ) 先驱植物花粉繁荣;(3 ) 谷物类型的伴随物出现花粉和农田杂草花粉;(4 ) 在花粉集中和丰富陡变;并且(5 ) nitrophilous 的出现种并且牧剧杂草。人为的植物(杂草和谷物类型植物) 的花粉是人的活动的理想的指示物。人的活动的不同类型将导致不同花粉集合。影响人的花粉系列的模式将在 forested 区域和草地之间变化。在有花粉数据的人的影响的学习,在两时空的高分辨率必须被考虑。在空间的高分辨率将帮助通知复杂性风景。更重要地,它能帮助在风景上揭示人的活动的干扰,因此避免有限数据创造的偏爱指。好分辨率将及时成为精确可能的短命事件记录,因此避免与人的活动有关的事件的排除。有另外的代理的孢粉学的联合将帮助更精确地译解整个时间美化变化。炭是为在植被上记录人的骚乱的一个特别地有用的代理。它的山峰价值通常与树花粉的显著落下和人为的花粉的重要上升发生。

英文摘要:

The study of past human activities and their environmental effect is high in the agenda of global change research. A record of pollen assemblages is one of the most common proxies employed for detecting the impact of human activities on the landscape. In this review, we provide a summary and discussion on the recent progress on the use of pollen as indicators of human activity. For most of the studies related to human impact, the following features have been focused on: (1) decline of certain tree pollen; (2) flourishing of pioneer plant pollen; (3) concomitant occurrence of cereal-type pollen and cropland weed pollen; (4) abrupt changes in pollen concentration and richness; and (5) occurrence of nitrophi- Ious plants and pastoral weed. Pollen of anthropogenic plants (weeds and cereal-type plants) is ideal indicators of human activities. Different types of human activities will result in different pollen assem- blages. Patterns of human-impacted pollen spectra would vary between forested areas and grassland. In the study of human impact with pollen data, high resolution in both time and space must be consid- ered. High resolution in space will help to inform the complexity of the landscape. More importantly, it can help to reveal the interference of human activities on the landscape, hence avoiding the bias created by the limited data points. Fine resolution in time will make accurate recording of short-lived events possible, hence avoiding the exclusion of events related to human activities. The combination of palynology with other proxies will help to decipher more accurately landscape changes through time. Charcoal is a particularly useful proxy for recording the disturbance of humans on vegetation. Its peak values usually occur with pronounced drop of tree pollen and significant rise of anthropogenic pollen.

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