The effects of stand age on leaf N:P cannot be neglected: A global synthesis

常绿 每年落叶的 非生物成分 温带气候 热带和亚热带湿润阔叶林 亚热带 生物 温带森林 温带雨林 生态学 生态系统
作者
Hui Zhang,Meng Sun,Yuxiang Wen,Ran Tong,G. Geoff Wang,Qiqian Wu,Yan Li,Tonggui Wu
出处
期刊:Forest Ecology and Management [Elsevier BV]
卷期号:518: 120294-120294 被引量:8
标识
DOI:10.1016/j.foreco.2022.120294
摘要

The effects of abiotic and biotic factors on plant stoichiometry have been widely reported at the global scale. However, stand age has not always been considered and its effect on stoichiometry showed large uncertainties at the global scale. In this study, we examined the role of stand age in leaf N:P, and observed the general pattern of leaf N:P for global planted forests across age gradients through the compilation and analysis of published data from individual studies. We found that stand age, together with life form and climatic variables, strongly affected leaf N:P. This result indicates that stand age is an indispensable underlying mechanism on stoichiometry. Leaf N:P increased with stand age for all planted forests pooled together, revealing the existence of the general pattern in leaf stoichiometry for planted forests across age gradients. Leaf N:P exhibited no trend in evergreen trees, but an increasing trend was obtained in deciduous trees along age sequences. Meanwhile, leaf N:P rose with stand age for planted forests in humid subtropical regions, but it did not vary in dry temperate regions. Our results reveal that the effects of age on tree stoichiometry cannot be neglected. These age-related patterns of stoichiometry indicated that global planted forests changed from N limitation to P limitation with increasing stand age, particularly for deciduous planted forests and in planted forests in humid regions. The study highlights the importance of considering stand age when exploring nutrient patterns in planted forests, which contributes to improving the plant stoichiometry theory and offers guidance for the nutrient management of planted forests at regional and global scales.
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
ah爱科研完成签到,获得积分10
刚刚
3秒前
NexusExplorer的应助被Uuu采纳,获得10
3秒前
孙兆杰发布了新的文献求助10
3秒前
xxx完成签到 ,获得积分10
3秒前
赘婿的应助被nextconnie采纳,获得10
3秒前
4秒前
4秒前
5秒前
5秒前
linxm完成签到,获得积分10
5秒前
Hao完成签到,获得积分10
5秒前
6秒前
冷艳的紫的应助被阳光的白晴采纳,获得10
6秒前
6秒前
7秒前
吃人陈完成签到,获得积分10
7秒前
瀚的喵发布了新的文献求助60
7秒前
舒适的觅云完成签到,获得积分10
9秒前
shixueshashou发布了新的文献求助10
9秒前
10秒前
Dellamoffy完成签到,获得积分10
10秒前
Air牙发布了新的文献求助10
10秒前
11秒前
11秒前
平淡夏青发布了新的文献求助10
11秒前
慕青的应助被龙之鼻息采纳,获得10
12秒前
科研通AI6.4的应助被zz采纳,获得30
13秒前
15秒前
xiaowang完成签到,获得积分10
16秒前
16秒前
bkagyin的应助被柒柒采纳,获得10
16秒前
16秒前
lhz完成签到 ,获得积分10
16秒前
16秒前
17秒前
一科研土豆完成签到,获得积分10
18秒前
chess发布了新的文献求助10
18秒前
李健的应助被Smile23采纳,获得10
19秒前
LJH发布了新的文献求助10
19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
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7991164
求助须知:如何正确求助?哪些是违规求助? 9447212
关于积分的说明 21110530
捐赠科研通 7564398
什么是DOI,文献DOI怎么找? 3378408
关于科研通互助平台的介绍 2512364
邀请新用户注册赠送积分活动 2411955