Canopy photosynthetic capacity drives contrasting age dynamics of resource use efficiencies between mature temperate evergreen and deciduous forests

常绿 每年落叶的 天蓬 温带雨林 温带气候 温带森林 生态学 环境科学 森林动态 温带落叶林 树冠 生物 农林复合经营 生态系统 地理 森林生态学
作者
Hang Xu,Jingfeng Xiao,Zhiqiang Zhang,Scott V. Ollinger,David Y. Hollinger,Yude Pan,Jiaming Wan
出处
期刊:Global Change Biology [Wiley]
卷期号:26 (11): 6156-6167 被引量:28
标识
DOI:10.1111/gcb.15312
摘要

Abstract Forest resource use efficiencies (RUEs) can vary with tree age, but the nature of these trends and their underlying mechanisms are not well understood. Understanding the age dynamics of forest RUEs and their drivers is vital for assessing the trade‐offs between forest functions and resource consumption, making rational management policy, and projecting ecosystem carbon dynamics. Here we used the FLUXNET2015 and AmeriFlux datasets and published literature to explore the age‐dependent variability of forest light use efficiency (LUE) and inherent water use efficiency as well as their main regulatory variables in temperate regions. Our results showed that evergreen forest RUEs initially increased before reaching the mature stage (i.e., around 90 years old), and then gradually declined; in contrast, RUEs continuously increased with age for mature deciduous forests. Changing canopy photosynthetic capacity ( A max ) was the primary cause of age‐related changes in RUEs across temperate forest sites. More importantly, soil nitrogen (N) increased in mature deciduous forests through time but decreased in older evergreen forests. The age‐dependent changes in soil N were closely linked with the age dynamics of A max for mature temperate forests. Additionally, soil nutrient conditions played a greater role in deciduous forest RUEs than evergreen forest RUEs. This study highlights the importance of stand age and forest type on temperate forest RUEs over the long term.
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
刚刚
了晨完成签到 ,获得积分10
1秒前
小xy完成签到,获得积分10
1秒前
2秒前
小昼完成签到 ,获得积分10
2秒前
尊敬的完成签到,获得积分10
3秒前
3秒前
整齐海秋完成签到,获得积分10
3秒前
3秒前
善学以致用应助白榆采纳,获得10
3秒前
JamesPei应助易达采纳,获得10
4秒前
4秒前
4秒前
圣晟胜发布了新的文献求助10
4秒前
xx发布了新的文献求助10
5秒前
忧郁觅柔完成签到 ,获得积分10
5秒前
追寻夜香发布了新的文献求助10
5秒前
昊康好完成签到,获得积分10
5秒前
6秒前
yy完成签到,获得积分10
6秒前
7秒前
缓慢天抒完成签到 ,获得积分10
7秒前
科研通AI5应助路之遥兮采纳,获得10
7秒前
爱睡觉的亮亮完成签到,获得积分10
8秒前
圈圈发布了新的文献求助10
8秒前
顾矜应助无聊先知采纳,获得10
8秒前
8秒前
8秒前
9秒前
9秒前
9秒前
咕咕咕完成签到,获得积分10
9秒前
经法发布了新的文献求助10
10秒前
晚亭完成签到,获得积分10
10秒前
欲望被鬼举报戚薇求助涉嫌违规
11秒前
yangyang发布了新的文献求助10
11秒前
优雅的琳发布了新的文献求助10
12秒前
时光发布了新的文献求助10
12秒前
yuki完成签到,获得积分10
12秒前
南逸然完成签到,获得积分10
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 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678