第四纪古生物学的挑战与机遇

IF 6 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Science China Earth Sciences Pub Date : 2024-06-17 DOI:10.1007/s11430-023-1310-4
Qinghai Xu, Houyuan Lu, Zhuo Zheng
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引用次数: 0

摘要

第四纪古乐彩网学在研究全球气候变化和其他多个研究领域发挥着举足轻重的作用,是定量分析古环境变化的重要工具。然而,由于陆地生态系统种类繁多,植被、气候和人类活动之间的相互作用错综复杂,该学科在以下几个方面还需要进一步提高。(1)花粉形态学分类和花粉化石鉴定的准确性有待提高,尤其是在物种水平上。这是目前第四纪古植物学面临的重大挑战。计算机辅助智能识别技术有望成为根据更详细的花粉形态进行物种鉴定的解决方案。(2) 大多数基于花粉的植被和气候重建都忽视了裸露地面的重要性。在定量重建过去的植被和气候时,忽视裸地会导致严重的误差。(3) 虽然花粉记录提供了古气候变化的可靠信息,但目前的定量气候重建模型严重依赖于从或多或少受到人类活动干扰的现今植被中提取的现代花粉数据集。这给古气候重建带来了偏差和不确定性。(4) 虽然花粉可以作为人类活动的指标,但准确量化人类影响的强度仍然具有挑战性。提高农作物花粉的准确识别率、重建可靠的土地覆盖/使用数据以及整合多学科数据可能会提高花粉记录中与人类活动相关信号的识别和量化。
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Challenges and opportunities in Quaternary palynology

Quaternary palynology plays a pivotal role in investigating global climate change and various other research fields, serving as an essential tool for the quantitative analysis of paleoenvironment changes. However, due to the vast diversity of terrestrial ecosystems and intricate interactions between vegetation, climate, and human activities, further advancements are required in the following aspects within this discipline. (1) The accuracy of classification in pollen morphology and fossil pollen identification needs improvement, particularly at the species level. This represents a significant challenge in present Quaternary palynology. Computer-aided intelligent recognition holds promise as a solution for species identification based on more detail pollen morphology. (2) Most pollen-based vegetation and climate reconstructions overlook the significance of bare ground. Neglecting bare ground can lead to substantial inaccuracies when quantitatively reconstructing past vegetation and climate. (3) While pollen records provide reliable information on paleoclimate changes, current quantitative climate reconstruction models heavily rely on modern pollen datasets derived from present-day vegetation disturbed more or less by human activities. This introduces bias and uncertainties into paleoclimate reconstruction. (4) Although pollen can serve as an indicator of human activities, accurately quantifying the intensity of human influence remains challenging. Improving accurate identification of crop pollen, reconstructing reliable land cover/use data, and integrating multidisciplinary data may enhance the identification and quantification of signals related to human activity in pollen records.

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来源期刊
Science China Earth Sciences
Science China Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
9.60
自引率
5.30%
发文量
135
审稿时长
3-8 weeks
期刊介绍: Science China Earth Sciences, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research.
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