亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The relationships between leaf economics and hydraulic traits of woody plants depend on water availability

黄土高原 干旱 导水率 生物 亚热带 比叶面积 气孔导度 农学 植物 生态学 环境科学 土壤科学 土壤水分 光合作用
作者
Qiulong Yin,Lei Wang,Maolin Lei,Han Dang,Jiaxin Quan,Tingting Tian,Yimin Chai,Ming Yue
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:621: 245-252 被引量:57
标识
DOI:10.1016/j.scitotenv.2017.11.171
摘要

Leaf economics and hydraulic traits are simultaneously involved in the process of trading water for CO2, but the relationships between these two suites of traits remain ambiguous. Recently, Li et al. (2015) reported that leaf economics and hydraulic traits were decoupled in five tropical-subtropical forests in China. We tested the hypothesis that the relationships between economics and hydraulic traits may depend on water availability. We analysed five leaf economics traits, four hydraulic traits and anatomical structures of 47 woody species on the Loess Plateau with poor water availability and compared those data with Li et al. (2015) obtained in tropical-subtropical regions with adequate water. The results showed that plants on the Loess Plateau tend to have higher leaf tissue density (TD), leaf nitrogen concentrations and venation density (VD) and lower stomatal guard cell length (SL) and maximum stomatal conductance to water vapour (gwmax). VD showed positive correlations with leaf nitrogen concentrations, palisade tissue thickness (PT) and ratio of palisade tissue thickness to spongy tissue thickness (PT/ST). Principal component analysis (PCA) showed a result opposite from those of tropical-subtropical regions: leaf economics and hydraulic traits were coupled on the Loess Plateau. A stable correlation between these two suites of traits may be more cost-effective on the Loess Plateau, where water availability is poor. The correlation of leaf economics and hydraulic traits may be a type of adaptation mechanism in arid conditions.

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
lld发布了新的文献求助10
1秒前
ceeray23发布了新的文献求助200
2秒前
科研通AI2S应助瓜兮兮CYY采纳,获得10
3秒前
开朗问晴发布了新的文献求助10
4秒前
orixero应助清秀的宝马采纳,获得10
6秒前
9秒前
9秒前
轻松听双完成签到,获得积分10
9秒前
11112321321完成签到 ,获得积分10
9秒前
量子星尘发布了新的文献求助10
11秒前
11秒前
Hello应助lld采纳,获得10
12秒前
轻松听双发布了新的文献求助10
15秒前
17秒前
李爱国应助开朗问晴采纳,获得10
23秒前
23秒前
斯文的凝珍完成签到,获得积分10
24秒前
Criminology34应助平淡道天采纳,获得10
29秒前
小黄还你好完成签到 ,获得积分10
30秒前
zlf完成签到,获得积分10
35秒前
40秒前
jinsijia发布了新的文献求助10
40秒前
z123完成签到,获得积分10
45秒前
AWY发布了新的文献求助10
45秒前
Tanya47应助Echopotter采纳,获得10
46秒前
酷波er应助七宝大当家采纳,获得10
52秒前
mmyhn发布了新的文献求助10
53秒前
54秒前
56秒前
英俊的铭应助荔荔采纳,获得50
56秒前
fangdonghai发布了新的文献求助10
1分钟前
Tanya47应助科研通管家采纳,获得10
1分钟前
Tanya47应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
Tanya47应助科研通管家采纳,获得10
1分钟前
若宫伊芙应助科研通管家采纳,获得10
1分钟前
Akim应助ceeray23采纳,获得20
1分钟前
熬夜波比应助七宝大当家采纳,获得10
1分钟前
lune发布了新的文献求助10
1分钟前
桐桐应助bigalexwei采纳,获得30
1分钟前
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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5664034
求助须知:如何正确求助?哪些是违规求助? 4856893
关于积分的说明 15107044
捐赠科研通 4822496
什么是DOI,文献DOI怎么找? 2581475
邀请新用户注册赠送积分活动 1535694
关于科研通互助平台的介绍 1493921