Variation in foliar δ15N among oriental oak (Quercus variabilis) stands over eastern China: Patterns and interactions

栓皮栋 温带气候 亚热带 每年落叶的 温带落叶林 背景(考古学) 土壤水分 纬度 丰度(生态学) 生物 农学 植物 生态学 地理 大地测量学 古生物学
作者
Hongzhang Kang,Chunjiang Liu,Wenjuan Yu,Lili Wu,Dongmei Chen,Xiao Sun,Xiaoping Ma,Haibo Hu,Xueling Zhu
出处
期刊:Journal of Geochemical Exploration [Elsevier]
卷期号:110 (1): 8-14 被引量:20
标识
DOI:10.1016/j.gexplo.2011.02.002
摘要

The patterns of variation in natural abundance of foliar and soil (15N) (expressed as δ15N) related to geographical and climatic variables frequently vary over plant species or plant function groups. It is essential to identify the pattern of foliar δ15N for specific plant species which has a widespread distribution and to explore the underlying mechanisms in the context of environmental change such as global warming and anthropogenic nitrogen deposition. Oriental oak (Quercus variabilis Bl.), characterized by cork bark, is a widely distributing deciduous broadleaf tree species that can be found in temperate and subtropical areas of East Asia. In this study, the variations in foliar and soil 15N were investigated based on the data of leaf and soil samples collected in 22 stands over eastern China (from 24 to 41° N in latitude and 102 to 123° E in longitude), and the mechanisms were discussed. The results showed that for oriental oak stands, mean foliar and soil δ15N were − 4.8‰ and 2.0‰, respectively, indicating an evident 15N enrichment in the soils. The average foliar δ15N value of oriental oak in warm temperate forest was significantly lower (p < 0.01), while a higher enrichment factor was also observed in temperate forests, than that in the subtropical areas. Over the eastern China, the foliar δ15N increased linearly and significantly with increasing mean annual precipitation (MAP) (R2 = 0.481 and p < 0.001) and mean annual temperature (MAT) (R2 = 0.285 and p = 0.01) and decreasing pH value of rain water (R2 = 0.333 and p = 0.005). With these results in eastern China, there are great implications in understanding how nitrogen dynamics of ecosystems responds to warming, drought and acid rain.
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
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
丫丫完成签到,获得积分10
刚刚
科研通AI2S应助觅桃乌龙采纳,获得10
刚刚
耿强完成签到,获得积分10
刚刚
wanci应助dd采纳,获得10
1秒前
汉堡包应助cuihl123采纳,获得10
1秒前
李浓完成签到,获得积分10
1秒前
DreamMaker发布了新的文献求助10
1秒前
mao12wang完成签到,获得积分10
2秒前
2秒前
bdvdsrwteges发布了新的文献求助10
3秒前
如约而至发布了新的文献求助20
3秒前
纯真的莫茗完成签到,获得积分10
3秒前
彭于晏应助超11采纳,获得10
4秒前
4秒前
gavincsu发布了新的文献求助10
4秒前
KSGGS给KSGGS的求助进行了留言
4秒前
flow驳回了Aria应助
4秒前
lixiunan完成签到,获得积分10
4秒前
4秒前
dildil发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
边瑞明完成签到,获得积分10
7秒前
Wang发布了新的文献求助10
8秒前
Jenny应助拼搏思卉采纳,获得10
8秒前
8秒前
神勇的雅香应助不喝可乐采纳,获得10
8秒前
清脆的白开水完成签到,获得积分10
8秒前
Hello应助善良过客采纳,获得10
8秒前
现实的曼荷完成签到,获得积分10
8秒前
8秒前
9秒前
zyyyy完成签到,获得积分10
9秒前
dd完成签到,获得积分20
9秒前
9秒前
混子发布了新的文献求助10
9秒前
HYG完成签到,获得积分10
10秒前
二橦完成签到 ,获得积分10
10秒前
熊博士完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759