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 古生物学 大地测量学
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 BV]
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.

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
puon发布了新的文献求助10
1秒前
CGDAZE完成签到,获得积分10
2秒前
xbchen完成签到,获得积分10
2秒前
科研通AI6.1应助刘明采纳,获得10
4秒前
Pipi发布了新的文献求助10
5秒前
y1ding发布了新的文献求助10
6秒前
7秒前
从容易云完成签到,获得积分10
7秒前
8秒前
10秒前
10秒前
11秒前
无问完成签到,获得积分10
11秒前
kgf完成签到 ,获得积分10
12秒前
12秒前
12秒前
rita4616发布了新的文献求助10
12秒前
13秒前
linting0530发布了新的文献求助10
13秒前
ronaldxy完成签到,获得积分20
13秒前
嘤嘤怪完成签到 ,获得积分10
14秒前
科研通AI6.1应助sen采纳,获得10
14秒前
ljy完成签到,获得积分10
15秒前
XIA完成签到 ,获得积分10
15秒前
15秒前
酷波er应助未来采纳,获得10
16秒前
16秒前
zhizhi完成签到,获得积分20
16秒前
烟花应助渡星河采纳,获得10
17秒前
端庄青雪发布了新的文献求助10
17秒前
ss完成签到,获得积分10
17秒前
刘金磊完成签到,获得积分10
18秒前
暴走章鱼发布了新的文献求助10
18秒前
18秒前
规划发布了新的文献求助10
19秒前
Vincent完成签到,获得积分10
20秒前
bluebell完成签到,获得积分10
20秒前
12138完成签到,获得积分10
20秒前
23秒前
AJ完成签到,获得积分10
23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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363441
求助须知:如何正确求助?哪些是违规求助? 8177355
关于积分的说明 17232546
捐赠科研通 5418531
什么是DOI,文献DOI怎么找? 2867088
邀请新用户注册赠送积分活动 1844300
关于科研通互助平台的介绍 1691850