Continuous Parameterization of Leaf Area Index and Phenological Phases Within Deciduous Forests Based on Temperature Measurements

叶面积指数 每年落叶的 物候学 环境科学 天蓬 山毛榉 大气科学 气候变化 遥感 林业 地理 生态学 生物 地质学 考古
作者
Anita Zolles,Silvio Schueler,Karl Gartner,Gartner Scheifinger
出处
期刊:Frontiers in forests and global change [Frontiers Media]
卷期号:4 被引量:1
标识
DOI:10.3389/ffgc.2021.768085
摘要

The Leaf-Area-Index (LAI) is commonly used to characterize the plant canopy and is a fundamental indication of plant vitality and photosynthetic activity. The forest health status is not only vital for economical reasons, but also has a significant impact on global carbon sequestration. The LAI has a highly dynamic character among deciduous forests and is prone to significant seasonal fluctuations. Accurate continuous LAI measurements do provide valuable information on growth characteristics, but they require considerable measurement effort. In this study, we tested a novel method that would allow for continuous low-effort LAI parameterizations. For our study we used temperature measurements from 2011 to 2019 obtained at two meteorological stations: Station one is an open land station, station two is located inside a forest stand characterized by European beech (measurements were undertaken as part of the ICP Forests program), both are located in Klausen Leopoldsdorf (Austria). We chose the difference in daily maximum temperature between the two sites for our LAI parametrization ( LAI par ) since the forest canopy has a significant impact on local radiation conditions. We were able to identify phenological events such as leaf unfolding, the end of leaf growth, and the beginning and end of defoliation by examining at the average course of the year for LAI par . The resultant LAI par values were compared to annual values derived from hemispheric photographs taken near the stand temperature sensor. For the years 2011–2017, we found a strong correlation of 0.93 between LAI measures and LAI par , which dropped to 0.69 after adding the year 2018 and 0.32 after adding 2019. We further compared the phenological events obtained from LAI par to phenological observations. The impact of forests on their site climate, according to our findings, can be utilized to identify phenological and growth characteristics. The proposed method, however, is not a replacement for conventional LAI measurements.
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
khalifa发布了新的文献求助10
1秒前
baibai完成签到,获得积分10
1秒前
JamesPei应助科研通管家采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
研友_VZG7GZ应助科研通管家采纳,获得10
3秒前
3秒前
科研通AI2S应助赫连紫采纳,获得10
3秒前
小沅完成签到,获得积分10
4秒前
老隋发布了新的文献求助10
5秒前
littleprince发布了新的文献求助10
5秒前
111完成签到 ,获得积分10
5秒前
khalifa完成签到,获得积分10
7秒前
姜姜完成签到,获得积分10
7秒前
小沅发布了新的文献求助10
7秒前
8秒前
back you up应助nold采纳,获得30
8秒前
李爱国应助zz采纳,获得10
9秒前
9秒前
10秒前
项阑悦发布了新的文献求助10
11秒前
淡然老头完成签到 ,获得积分10
11秒前
852应助老隋采纳,获得10
11秒前
我是老大应助漂亮水绿采纳,获得10
12秒前
zeng发布了新的文献求助20
12秒前
ggg完成签到,获得积分10
12秒前
12秒前
书篆发布了新的文献求助30
13秒前
现代雁桃发布了新的文献求助10
14秒前
15秒前
15秒前
16秒前
项阑悦完成签到,获得积分10
16秒前
AHR发布了新的文献求助10
16秒前
高高冰蝶应助SuLi_ALL采纳,获得10
16秒前
舒心的芸发布了新的文献求助10
17秒前
17秒前
落寞臻发布了新的文献求助10
18秒前
小蘑菇应助谓风采纳,获得10
18秒前
18秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
Walking a Tightrope: Memories of Wu Jieping, Personal Physician to China's Leaders 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3789703
求助须知:如何正确求助?哪些是违规求助? 3334574
关于积分的说明 10270902
捐赠科研通 3051026
什么是DOI,文献DOI怎么找? 1674401
邀请新用户注册赠送积分活动 802553
科研通“疑难数据库(出版商)”最低求助积分说明 760777