Heterogeneity of leaf stoichiometry of different life forms along environmental transects in typical ecologically fragile areas of China

生态化学计量学 横断面 化学计量学 生物地球化学循环 营养物 灌木 带状断面 植物 生物 生态学 化学 有机化学
作者
Yun Chen,Yuqiang Li,Lilong Wang,Yulong Duan,Wenjie Cao,Xuyang Wang,Yulin Li,Yulin Li,Yulin Li
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:910: 168495-168495 被引量:19
标识
DOI:10.1016/j.scitotenv.2023.168495
摘要

The coupling between carbon (C):nitrogen (N):phosphorus (P) stoichiometry in plant leaves is closely related to ecological functions such as photosynthesis, growth, and biogeochemical cycling. To explore the biogeographic patterns, nutrient limitations, and the relationships between leaf and soil stoichiometry, as well as the factors influencing leaf stoichiometry, we quantified community-level leaf C:N:P stoichiometry in trees, shrubs, and herbs along transects with a total length of about 4300 km. The leaf C:N:P ratios of trees, shrubs, and herbs were approximately 349:13:1, 267:14:1, and 226:12:1, respectively. Leaf C:N:P stoichiometry differed significantly (p < 0.05) among the life forms. Compared with global and Chinese scales, the C, N, and P concentrations were higher and C:N, C:P, and N:P ratios were lower. The leaf C:N:P stoichiometry patterns along a latitude gradient differed among life forms. There was no significant correlation between leaf N and soil total N, whereas leaf P of all three life forms increased significantly with increasing soil total P. Those results suggested a community-level N limitation for trees, shrubs, and herbs growth. Environmental factors explained 43.9, 26.5, and 6.1 % of leaf stoichiometric variations for trees, shrubs, and herbs, respectively. However, the key environmental driving factors gradually changed from climatic factors for trees and shrubs to soil factors for herbs. The results provide new insights into community-level biogeographical patterns and potential factors of leaf stoichiometry among plant life forms.
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
呆呆鱼完成签到,获得积分10
刚刚
刚刚
虎啸天123完成签到,获得积分10
3秒前
蘑菇鱼发布了新的文献求助10
5秒前
6秒前
8秒前
amour发布了新的文献求助10
8秒前
科研通AI6.4应助121231233采纳,获得10
8秒前
8秒前
8秒前
9秒前
9秒前
10秒前
10秒前
瘦瘦冷松完成签到 ,获得积分10
10秒前
10秒前
11秒前
无花果应助wu采纳,获得10
12秒前
希望完成签到 ,获得积分10
12秒前
zz驳回了bkagyin应助
12秒前
zack6119应助GG采纳,获得10
13秒前
13秒前
费城青年完成签到,获得积分10
13秒前
luck完成签到,获得积分10
14秒前
李健应助马佳凯采纳,获得10
14秒前
15秒前
科研通AI6.4应助jjj采纳,获得10
15秒前
长安应助小唐采纳,获得10
15秒前
yyytttt发布了新的文献求助10
15秒前
15秒前
QKD发布了新的文献求助20
16秒前
luck发布了新的文献求助10
17秒前
17秒前
WSND发布了新的文献求助10
18秒前
19秒前
无花果应助成年大香蕉采纳,获得30
19秒前
恢复出厂设置完成签到,获得积分10
19秒前
20秒前
20秒前
顾矜应助半拉油豆角采纳,获得10
22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
A Study of the Model by which Principals’ Leadership Behaviour Influences Student Learning Outcomes in Elementary Schools 1000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
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 7710440
求助须知:如何正确求助?哪些是违规求助? 9267179
关于积分的说明 20063686
捐赠科研通 7286431
什么是DOI,文献DOI怎么找? 3296952
关于科研通互助平台的介绍 2451484
邀请新用户注册赠送积分活动 2303954