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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
刚刚
大蘑菇炒小蘑菇完成签到,获得积分10
1秒前
舒适的金鱼完成签到 ,获得积分10
1秒前
刘哔完成签到,获得积分10
1秒前
Wang完成签到,获得积分10
4秒前
乐乐应助苗笑卉采纳,获得10
4秒前
琥珀发布了新的文献求助10
4秒前
4秒前
6秒前
Jasper应助yy采纳,获得10
6秒前
皓首穷经发布了新的文献求助10
6秒前
热情曼云发布了新的文献求助10
7秒前
heniancheng完成签到 ,获得积分10
8秒前
9秒前
东少发布了新的文献求助10
10秒前
丘比特应助左丘山河采纳,获得10
10秒前
Kao应助三木采纳,获得10
10秒前
第一霸完成签到,获得积分10
11秒前
合适夜柳完成签到 ,获得积分10
12秒前
12秒前
Leo发布了新的文献求助10
12秒前
zy发布了新的文献求助10
14秒前
鹿蜀的青睐完成签到,获得积分10
14秒前
luo发布了新的文献求助10
14秒前
七友完成签到,获得积分10
15秒前
15秒前
16秒前
something完成签到,获得积分10
17秒前
randytaylor69发布了新的文献求助10
19秒前
哈哈哈完成签到,获得积分10
19秒前
可爱的函函应助真人采纳,获得10
20秒前
影儿完成签到,获得积分10
20秒前
念姬完成签到,获得积分10
21秒前
舒适的金鱼关注了科研通微信公众号
22秒前
22秒前
23秒前
23秒前
Jbiolover完成签到,获得积分10
23秒前
yy发布了新的文献求助10
24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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7044902
求助须知:如何正确求助?哪些是违规求助? 8711207
关于积分的说明 18446247
捐赠科研通 6558107
什么是DOI,文献DOI怎么找? 3118067
关于科研通互助平台的介绍 2203369
邀请新用户注册赠送积分活动 2093462