已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Are small trees more responsive to nutrient addition than large trees in an evergreen broadleaved forest?

常绿 生物 营养物 比叶面积 相对增长率 光合能力 植物 光合作用 园艺 农学 生态学 增长率 数学 几何学
作者
Xuemin Ye,Wensheng Bu,Xiaofei Hu,Fangchao Wang,Rongxi Sun,Pengcheng He,Xingyun Liang,Fusheng Chen
出处
期刊:Forest Ecology and Management [Elsevier BV]
卷期号:543: 121129-121129 被引量:2
标识
DOI:10.1016/j.foreco.2023.121129
摘要

Nitrogen (N) and phosphorus (P) availability exert a profound influence on forest productivity and function. However, forecasting tree responses is still challenging because trait plasticity among different size classes and tree species remains largely unclear. We conducted a field experiment in an evergreen broadleaved forest fertilized with four treatments: +N (100 kg N ha−1 yr−1), +P (50 kg P ha−1 yr−1), N+P (100 kg N ha−1 yr−1 + 50 kg P ha−1 yr−1), and a control. We selected four species across size classes (small trees, DBH < 15 cm; large trees, DBH ≥ 15 cm) to quantify the relative growth rate (RGR) and functional traits related to the leaf economic spectrum (LES). +P increased the RGR in small trees rather than in large trees, and its effect on RGR varied with tree species in small trees. In contrast, +N and N+P did not affect the RGR in small or large trees. Small trees exhibited greater trait plasticity in light-saturated photosynthetic rate (Pmax) and photosynthetic N and P use efficiencies (PNUE and PPUE) than large trees under P addition. In contrast, nutrient addition did not change LES traits in large trees. Most notably, treatment-induced changes in RGR were significantly correlated with changes in Pmax and PNUE in small trees and with leaf mass per area (LMA) in large trees in this subtropical forest, suggesting that trait plasticity drives tree growth responses. Our results highlight that small subtropical trees have a greater capacity to respond to nutrient alterations and have the potential to change species abundance under future N and P deposition.
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
kento完成签到,获得积分0
刚刚
1秒前
科研天才完成签到 ,获得积分10
1秒前
斯文败类应助soilbeginner采纳,获得10
1秒前
3秒前
小小牛马应助科研通管家采纳,获得10
4秒前
nn应助科研通管家采纳,获得10
4秒前
zzz1310发布了新的文献求助10
5秒前
5秒前
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
学术小白完成签到,获得积分10
5秒前
5秒前
小蘑菇应助科研通管家采纳,获得10
5秒前
光亮的唇膏完成签到 ,获得积分10
6秒前
A0564发布了新的文献求助10
6秒前
7秒前
Akim应助老实的水蜜桃采纳,获得10
7秒前
沙莎完成签到 ,获得积分10
8秒前
momo完成签到 ,获得积分10
9秒前
Dlan完成签到,获得积分10
10秒前
qqa完成签到,获得积分10
10秒前
斯文败类应助OK采纳,获得10
11秒前
11秒前
qqa发布了新的文献求助10
14秒前
ww完成签到,获得积分10
15秒前
15秒前
小白加油完成签到 ,获得积分10
16秒前
西瓜发布了新的文献求助10
16秒前
soilbeginner发布了新的文献求助10
17秒前
Xixi完成签到 ,获得积分10
17秒前
会撒娇的面包完成签到,获得积分10
18秒前
Young完成签到 ,获得积分10
18秒前
kaka完成签到,获得积分0
18秒前
20秒前
20秒前
小休完成签到 ,获得积分10
22秒前
科研通AI6.4应助小卢同学采纳,获得10
24秒前
24秒前
大狒狒发布了新的文献求助10
25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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
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 7633078
求助须知:如何正确求助?哪些是违规求助? 9207462
关于积分的说明 19747264
捐赠科研通 7202069
什么是DOI,文献DOI怎么找? 3274916
关于科研通互助平台的介绍 2436819
邀请新用户注册赠送积分活动 2271731