清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

Flowering and leaf phenology are more variable and stronger associated to functional traits in herbaceous compared to tree species

草本植物 物候学 生物 植物 比叶面积 生态学 木本植物 特质 灌木 程序设计语言 光合作用 计算机科学
作者
Sophie Horbach,Robert Rauschkolb,Christine Römermann
出处
期刊:Flora [Elsevier BV]
卷期号:300: 152218-152218 被引量:16
标识
DOI:10.1016/j.flora.2023.152218
摘要

Phenology of plants is changing rapidly due to global change which may have a large impact on many interactions in ecosystems. So far studies on the phenology of herbaceous species are largely underrepresented in phenology research which is mainly focused on trees and shrubs. In this study we investigated how different phenological stages during the annual life cycle differ between herbaceous species and trees and how they interact with functional traits. To answer these questions, we recorded multiple generative and vegetative phenological stages of 21 herbaceous and 19 tree species in the Botanical Garden of Jena in 2021. We further measured several functional traits for which relationships to flowering phenology have been found in comparable studies. We found evidence that the studied herbaceous species in comparison to the trees showed a larger variability in phenology indicated by a larger within compared to between growth form standard deviation for all phenological stages. This suggests that herbaceous species occupy more temporal niches to avoid competition. We also found that vegetative height is more strongly associated with the phenology of herbaceous species than with trees. For other functional traits, we were able to confirm known relationships between functional traits and phenology across both growth forms, whereby leaf dry matter content was particularly associated with phenological stages. This work is an explicit example of how useful phenological observations in botanical gardens can be to study and understand the complex relationships between plant phenology and functional traits. Further research is needed to investigate avenues to use widely available trait data to predict species-specific phenology.
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
Del发布了新的文献求助10
7秒前
Del完成签到,获得积分10
16秒前
32秒前
ding应助Phiephie采纳,获得10
32秒前
要减肥的婷冉完成签到,获得积分10
43秒前
Lt完成签到 ,获得积分10
48秒前
Artin完成签到,获得积分10
49秒前
优秀的紫菜完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
浚稚完成签到 ,获得积分10
1分钟前
糟糕的翅膀完成签到,获得积分10
1分钟前
斯文败类应助科研通管家采纳,获得10
1分钟前
alvin完成签到 ,获得积分10
2分钟前
2分钟前
Phiephie发布了新的文献求助10
2分钟前
钱来完成签到,获得积分10
2分钟前
dougsong完成签到,获得积分10
3分钟前
HS完成签到,获得积分10
3分钟前
Phiephie完成签到,获得积分10
4分钟前
bingo完成签到,获得积分10
4分钟前
4分钟前
Phiephie关注了科研通微信公众号
4分钟前
xing完成签到,获得积分20
4分钟前
nihao发布了新的文献求助10
4分钟前
5分钟前
5分钟前
俭朴山灵完成签到 ,获得积分10
5分钟前
5分钟前
NexusExplorer应助xing采纳,获得10
6分钟前
sadh2完成签到 ,获得积分10
6分钟前
6分钟前
lalala完成签到,获得积分10
6分钟前
峰成完成签到 ,获得积分10
6分钟前
两个榴莲完成签到,获得积分0
6分钟前
xiewuhua完成签到,获得积分10
6分钟前
默默无闻完成签到 ,获得积分10
7分钟前
伊戈达拉一个大拉完成签到 ,获得积分10
7分钟前
Phiephie发布了新的文献求助20
7分钟前
yudoyaer完成签到 ,获得积分10
7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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 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 6348282
求助须知:如何正确求助?哪些是违规求助? 8163366
关于积分的说明 17172986
捐赠科研通 5404698
什么是DOI,文献DOI怎么找? 2861773
邀请新用户注册赠送积分活动 1839573
关于科研通互助平台的介绍 1688896