The vegetation history of Qinling Mountains, China

植被(病理学) 沼泽 花粉 地理 高度(三角形) 林业 自然地理学 冷杉云杉 生态学 环境科学 生物 医学 病理 几何学 数学
作者
Xiaoyan Zhao,Chaoqun Ma,Xiao Liu
出处
期刊:Quaternary International [Elsevier BV]
卷期号:325: 55-62 被引量:32
标识
DOI:10.1016/j.quaint.2013.10.054
摘要

The Qinling Mountains provide a natural boundary between the north and south parts in China, and support a huge variety of plants and wildlife. However, the research on the vegetation history of Qinling forests has remained a blank. In order to choose the most suitable tree species to restore the Qinling forests, it is necessary to carry out studies on the history of forest vegetation in the area. Swamp sediments of mountain basins can store pollen from different historical periods in various levels. Through research on the deposition age of particular sediments in different levels and the characteristics of the pollen assemblage, we can understand the history of the forest vegetation in the area and further provide the scientific basis for the proper management of forests. In this paper, we have divided the vegetation history and climatic variations in the Qinling Mountains into four stages based on the pollen analysis and 14C age determination of a swamp sediment profile of mountain basins at an altitude of 2200 m as well as the pollen analysis on surface soil. In Stage 1 (18,715–7629 cal BP), the vegetation was composed of Abies and Picea. The climate was cold and humid. In Stage 2 (7629–3131 cal BP), the vegetation was dominantly Abies, Picea, Betula, Quercus and Alnus. The climate was warm and humid. During Stage 3 (3131–50 cal BP), the vegetation was dominantly Abies. The climate was cold and humid. During Stage 4 (0–50 cal BP), the vegetation was dominantly Betula, Quercus, Corylus, Alnus, and Tsuga, with fewer Pinus as well as groups of Abies. The climate was warm and dry. There is a noticeable decrease of Abies and Picea in accordance with a climate change from cold and humid to warm and dry. We also noticed an increase of Betula, Quercus, Corylus, Alnus, and Tsuga, which prefer warm and dry environments.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张大旭77发布了新的文献求助10
1秒前
3秒前
科研通AI5应助感动苡采纳,获得10
4秒前
雪山大地完成签到,获得积分10
4秒前
Beton_X发布了新的文献求助40
5秒前
6秒前
6秒前
嘿嘿嘿发布了新的文献求助10
6秒前
6秒前
7秒前
小肥鑫发布了新的文献求助10
8秒前
9秒前
scoot完成签到 ,获得积分10
9秒前
wjx关闭了wjx文献求助
9秒前
9秒前
蛋挞完成签到,获得积分20
9秒前
hhh完成签到 ,获得积分10
11秒前
爱学习发布了新的文献求助10
11秒前
张张发布了新的文献求助10
11秒前
wangsai0532完成签到,获得积分10
12秒前
12秒前
SciGPT应助1111111111111111采纳,获得10
12秒前
12秒前
Aaron完成签到 ,获得积分10
13秒前
xx完成签到,获得积分10
13秒前
嘿嘿嘿发布了新的文献求助10
13秒前
晗晗发布了新的文献求助10
14秒前
14秒前
研友_VZG7GZ应助小肥鑫采纳,获得10
14秒前
万能图书馆应助Joey采纳,获得10
16秒前
16秒前
17秒前
香蕉觅云应助EmmaLin采纳,获得10
17秒前
17秒前
77发布了新的文献求助10
18秒前
19秒前
FashionBoy应助泠漓采纳,获得10
19秒前
19秒前
19秒前
于大强完成签到,获得积分10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5194361
求助须知:如何正确求助?哪些是违规求助? 4376657
关于积分的说明 13629793
捐赠科研通 4231614
什么是DOI,文献DOI怎么找? 2321134
邀请新用户注册赠送积分活动 1319292
关于科研通互助平台的介绍 1269676