Stem growth phenology, not canopy greening, constrains deciduous tree growth

天蓬 物候学 每年落叶的 水青冈 无梗花栎 温带落叶林 树冠 环境科学 温带森林 温带雨林 树木年代学 生态学 生物 森林生态学 大气科学 生态系统 山毛榉 地质学 古生物学
作者
Matthias Arend,Günter Hoch,Ansgar Kahmen
出处
期刊:Tree Physiology [Oxford University Press]
卷期号:44 (2) 被引量:2
标识
DOI:10.1093/treephys/tpad160
摘要

Canopy phenology is a widely used proxy for deciduous forest growth with various applications in terrestrial ecosystem modeling. Its use relies on common assumptions that canopy greening and stem growth are tightly coordinated processes, enabling predictions on the timing and the quantity of annual tree growth. Here, we present parallel observations of canopy and stem growth phenology and annual stem increment in around 90 deciduous forest trees with diffuse-porous (Fagus sylvatica, Acer pseudoplatanus, Carpinus betulus) or ring-porous (Quercus robur × petraea) wood anatomy. These data were collected in a mixed temperate forest at the Swiss-Canopy-Crane II site, in 4 years with strongly contrasting weather conditions. We found that stem growth resumption lagged several weeks behind spring canopy greening in diffuse-porous but not in ring-porous trees. Canopy greening and stem growth resumption showed no or only weak signs of temporal coordination across the observation years. Within the assessed species, the seasonal timing of stem growth varied strongly among individuals, as trees with high annual increments resumed growth earlier and also completed their main growth earlier. The length of main growth activity had no influence on annual increments. Our findings not only challenge tight temporal coordination of canopy and stem growth phenology but also demonstrate that longer main growth activity does not translate into higher annual increments. This may compromise approaches modeling tree growth and forest productivity with canopy phenology and growth length.

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
刚刚
刚刚
Edward完成签到,获得积分10
1秒前
隐形曼青应助Rsoup采纳,获得10
2秒前
无花果应助ljh采纳,获得10
3秒前
3秒前
忧郁绿柏发布了新的文献求助10
5秒前
小李发布了新的文献求助10
5秒前
高兴薯片完成签到 ,获得积分10
6秒前
lzd发布了新的文献求助10
6秒前
6秒前
畅快盼望完成签到,获得积分10
7秒前
会武功的阿吉完成签到,获得积分10
7秒前
Peyton Why发布了新的文献求助10
8秒前
teng发布了新的文献求助10
8秒前
8秒前
姜楠楠完成签到,获得积分10
9秒前
marbas完成签到,获得积分10
11秒前
14秒前
Rsoup发布了新的文献求助10
15秒前
可爱的函函应助Peyton Why采纳,获得10
15秒前
羡羡发布了新的文献求助10
16秒前
彩色的鸡翅完成签到 ,获得积分10
17秒前
17秒前
睡一觉算了完成签到,获得积分10
18秒前
坚定的海露完成签到,获得积分10
19秒前
19秒前
心灵美的盼晴完成签到,获得积分20
20秒前
21秒前
华仔应助tzjz_zrz采纳,获得10
22秒前
科研通AI6.4应助wanghuifen123采纳,获得10
22秒前
Brief发布了新的文献求助20
23秒前
独狼完成签到 ,获得积分10
23秒前
23秒前
小马甲应助Mae采纳,获得10
25秒前
WYN发布了新的文献求助10
25秒前
26秒前
27秒前
29秒前
yang发布了新的文献求助10
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 6359503
求助须知:如何正确求助?哪些是违规求助? 8173510
关于积分的说明 17214610
捐赠科研通 5414555
什么是DOI,文献DOI怎么找? 2865497
邀请新用户注册赠送积分活动 1842839
关于科研通互助平台的介绍 1691052