Initial stomatal conductance increases photosynthetic induction of trees leaves more from sunlit than from shaded environments: A meta-analysis

气孔导度 光合作用 电导 植物 气孔密度 园艺 生物 化学 数学 组合数学
作者
Huixing Kang,Yuan Yu,Xinran Ke,Hajime Tomimatsu,Dongliang Xiong,Louis S. Santiago,Qingmin Han,Reki Kardiman,Yanhong Tang
出处
期刊:Tree Physiology [Oxford University Press]
被引量:1
标识
DOI:10.1093/treephys/tpae128
摘要

It has long been held that tree species/leaves from shaded environments show faster rate of photosynthetic induction than species/leaves from sunlit environments. But the evidence so far is conflicting and the underlying mechanisms are still under debate. To address the debate, we compiled a dataset for 87 tree species and compared the initial increasing slope during the first 2-minute induction (SA) and stomatal and biochemical characteristics between sun and shade species from the same study, and those between sun and shade leaves within the same species. In 77% of between-species comparisons, the species with high steady-state photosynthetic rate in the high light (Af) exhibited a larger SA than the species with low Af. In 67% within-species comparisons, the sun leaves exhibited a larger SA than the shade leaves. However, in only a few instances did the sun species/leaves more rapidly achieve 50% of full induction, with an even smaller SA, than the shade species/leaves. At both the species and leaf level, SA increased with increasing initial stomatal conductance before induction (gsi). Despite exhibiting reduced intrinsic water use efficiency in low light, a large SA proportionally enhances photosynthetic carbon gain during the first 2-minute induction in the sun species and leaves. Thus, in terms of the increase in absolute rate of photosynthesis, tree species/leaves from sunlit environments display faster photosynthetic induction responses than those from shaded environments. Our results call for re-consideration of contrasting photosynthetic strategies in photosynthetic adaption/acclimation to dynamic light environments across species.
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
1秒前
清澈水眸完成签到 ,获得积分10
1秒前
圈圈发布了新的文献求助10
1秒前
zhanlonglsj关注了科研通微信公众号
1秒前
缥缈的万天完成签到 ,获得积分10
2秒前
木禾火发布了新的文献求助10
2秒前
2秒前
2秒前
May完成签到,获得积分10
2秒前
爱静静应助忧郁凌波采纳,获得10
3秒前
Maestro_S发布了新的文献求助10
3秒前
乾坤完成签到,获得积分10
3秒前
4秒前
WxChen完成签到,获得积分10
4秒前
椰子发布了新的文献求助10
4秒前
WJ发布了新的文献求助10
5秒前
xhuryts完成签到,获得积分10
5秒前
Ll发布了新的文献求助10
5秒前
徐翩跹完成签到,获得积分10
6秒前
不喝可乐发布了新的文献求助10
6秒前
Dream完成签到,获得积分10
6秒前
科研通AI5应助F冯采纳,获得10
6秒前
感谢大哥的帮助完成签到 ,获得积分10
6秒前
qiongqiong完成签到,获得积分10
6秒前
米娅完成签到,获得积分10
7秒前
7秒前
强健的妙菱完成签到,获得积分10
8秒前
8秒前
小蘑菇应助温柔若采纳,获得10
8秒前
李爱国应助通~采纳,获得10
8秒前
经竺应助小马哥采纳,获得10
8秒前
10秒前
单纯的芷蝶完成签到,获得积分10
10秒前
研友完成签到,获得积分10
10秒前
勤奋若风完成签到,获得积分10
10秒前
英姑应助每天都想下班采纳,获得10
11秒前
shooin完成签到,获得积分10
11秒前
佳佳发布了新的文献求助10
11秒前
MADKAI发布了新的文献求助10
11秒前
lin完成签到,获得积分20
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740