Leaf chlorophyll contents dominates the seasonal dynamics of SIF/GPP ratio: Evidence from continuous measurements in a maize field

天蓬 初级生产 大气科学 环境科学 光合作用 叶绿素 植物 物理 生态系统 生态学 生物
作者
Ruonan Chen,Liangyun Liu,Liangyun Liu
出处
期刊:Agricultural and Forest Meteorology [Elsevier BV]
卷期号:323: 109070-109070 被引量:11
标识
DOI:10.1016/j.agrformet.2022.109070
摘要

The coupling of solar-induced chlorophyll fluorescence (SIF) and gross primary production (GPP) is the foundation of SIF-based GPP estimations; however, the relationship between them varies in different conditions. Structural changes contribute much to the dynamics of their relationship at the canopy scale, whereas the role of physiological mechanisms is not very clear. Here, based on three-year continuous observations from 2018 to 2020 in a maize field in Northwest China, we obtained the total SIF (tSIF) at the photosystem scale and investigated the seasonal dynamics of its link with GPP. Using the ratio of tSIF to GPP, we eliminated the contribution of canopy structure and discovered an increase in the ratio during the late reproductive and ripening stages. Seasonal variation in the ratio was tracked by the leaf chlorophyll contents (LCC) related to the photosynthetic functional maturity (represented by maximum carboxylation rate, Vcmax). In addition, we also found that there was variation in the regression slope of the relationship between SIF/GPP and LCC at different growth stages. The correlation between tSIF/GPP and LCC was better than that between dSIF/GPP (dSIF, the ratio of directional SIF at canopy scale to GPP) and LCC, which demonstrated that the physiological information is reinforced after the elimination of structural contributions. Overall, the seasonal dynamics of the GPP–tSIF relationship in our study highlighted the necessity of considering the growing stage in SIF-based GPP estimations. Although they are usually covered up by the contribution of the canopy structure, physiological mechanisms still impacted the dynamics of the GPP–SIF relationship.

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
1秒前
KAZEN完成签到 ,获得积分10
4秒前
zkf完成签到,获得积分10
6秒前
6秒前
东风发布了新的文献求助10
6秒前
务实的若剑完成签到,获得积分10
6秒前
不会失忆完成签到,获得积分10
7秒前
cyu完成签到 ,获得积分10
8秒前
玄学大哥完成签到,获得积分10
10秒前
HHHao完成签到,获得积分20
11秒前
海蓝云天应助zhiqing采纳,获得80
12秒前
12秒前
乐观海燕发布了新的文献求助10
12秒前
yxlln完成签到 ,获得积分10
13秒前
英姑应助HHHao采纳,获得10
14秒前
科目三应助落去归来采纳,获得10
16秒前
oneoldcd完成签到,获得积分10
16秒前
HH发布了新的文献求助10
18秒前
Pdnnnnn完成签到,获得积分20
18秒前
MAVS完成签到,获得积分10
19秒前
绵羊小姐应助干净的琦采纳,获得50
19秒前
朴素凝冬发布了新的文献求助10
21秒前
不会学术的羊完成签到,获得积分10
21秒前
abcd_1067发布了新的文献求助10
22秒前
28秒前
31秒前
如意伟诚发布了新的文献求助10
31秒前
深情安青应助HH采纳,获得10
32秒前
科研路上的干饭桶完成签到,获得积分10
32秒前
雪白冷风完成签到 ,获得积分10
33秒前
33秒前
缥缈的背包完成签到,获得积分10
34秒前
Plumo完成签到 ,获得积分10
35秒前
yusuiwq发布了新的文献求助20
35秒前
36秒前
旺旺发布了新的文献求助30
37秒前
乐观海燕完成签到,获得积分10
38秒前
38秒前
hjh完成签到,获得积分10
38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 6359465
求助须知:如何正确求助?哪些是违规求助? 8173434
关于积分的说明 17214429
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