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的填写文献信息,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!

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 树(集合论) 数学 数学分析
作者
Sophie E.R. Horbach,Robert Rauschkolb,Christine Römermann
出处
期刊:Flora [Elsevier]
卷期号:300: 152218-152218 被引量:1
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
球球了发布了新的文献求助10
1秒前
有机发布了新的文献求助10
2秒前
完美世界应助yutj采纳,获得10
5秒前
科研通AI2S应助球球了采纳,获得10
9秒前
SJ完成签到,获得积分10
10秒前
NexusExplorer应助有机采纳,获得10
11秒前
14秒前
饱满芷卉发布了新的文献求助10
14秒前
15秒前
科研通AI2S应助和谐乐珍采纳,获得10
16秒前
雾蒽完成签到,获得积分10
22秒前
23秒前
27秒前
Yw_M发布了新的文献求助10
28秒前
善学以致用应助123采纳,获得10
30秒前
32秒前
33秒前
Lucas应助可爱怀莲采纳,获得10
34秒前
38秒前
40秒前
40秒前
41秒前
周周发布了新的文献求助10
44秒前
123发布了新的文献求助10
44秒前
可爱怀莲发布了新的文献求助10
46秒前
46秒前
郭盾发布了新的文献求助10
47秒前
47秒前
不配.应助欣喜尔蝶采纳,获得10
49秒前
我我我发布了新的文献求助10
50秒前
领导范儿应助周周采纳,获得10
51秒前
英俊的铭应助郭盾采纳,获得30
52秒前
xiaoming应助科研通管家采纳,获得10
52秒前
酷波er应助科研通管家采纳,获得10
52秒前
大个应助科研通管家采纳,获得10
52秒前
思源应助科研通管家采纳,获得10
52秒前
NexusExplorer应助科研通管家采纳,获得10
52秒前
52秒前
52秒前
明亮萤发布了新的文献求助10
53秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136894
求助须知:如何正确求助?哪些是违规求助? 2787866
关于积分的说明 7783497
捐赠科研通 2443945
什么是DOI,文献DOI怎么找? 1299488
科研通“疑难数据库(出版商)”最低求助积分说明 625461
版权声明 600954