Carbon Allocation to Leaves and Its Controlling Factors and Impacts on Gross Primary Productivity in Forest Ecosystems of Northeast China

IF 2.4 2区 农林科学 Q1 FORESTRY Forests Pub Date : 2024-01-08 DOI:10.3390/f15010129
Zhiru Li, Quan Lai, Yuhai Bao, Bilige Sude, Zhengyi Bao, Xinyi Liu
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Abstract

Carbon allocation in forest ecosystems is essential for the optimization of growth. However, remote-sensing-based research on the estimation of carbon allocation in forests is inadequate. This article considers forests in northeastern China as the research area and uses leaf area index (LAI) data combined with random forest and structural equation modelling methods to study the spatiotemporal distribution characteristics and driving factors of carbon allocation to leaves (ΔLAI) in deciduous broad-leaved forests (DBF), deciduous coniferous forests (DNF), and mixed forests (MF) during the green-up period (GUP) at a monthly scale during April, May, June, and July from 2001 to 2021, and clarifies the impact of leaf carbon allocation on gross primary productivity (GPP). The ΔLAI was the highest in DBF in April and in DNF and MF in May. The ΔLAI in April with an increasing trend year by year in DBF and MF, and the ΔLAI in May with an increasing trend in DNF. Among all the direct and indirect relationships that affect ΔLAI, temperature (TEM) has the highest path coefficient for DBF’s ΔLAI in April (−1.213) and the start of the season (SOS) has the highest path coefficient for DNF (−1.186) and MF (0.815). ΔLAI in the GUP has a significant positive impact on the GPP. In the MF, the higher ΔLAI in May was most conducive to an increase in GPP. During the critical period, that is April and May, carbon allocation to leaves effectively improves the carbon sequestration capacity of forestland. This information is of great value for the development and validation of terrestrial ecosystem models.
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中国东北地区森林生态系统叶片碳分配及其控制因素和对总初级生产力的影响
森林生态系统中的碳分配对优化生长至关重要。然而,基于遥感技术的森林碳分配估算研究尚不充分。本文以中国东北地区的森林为研究对象,利用叶面积指数(LAI)数据,结合随机森林和结构方程建模方法,研究落叶阔叶林(DBF)叶片碳分配(ΔLAI)的时空分布特征和驱动因素、研究了2001-2021年4、5、6、7月间落叶阔叶林(DBF)和落叶针叶林(DNF)以及混交林(MF)在返青期(GUP)的时空分布特征和驱动因素,并阐明了叶片碳分配对总初级生产力(GPP)的影响。四月 DBF 的 ΔLAI 最高,五月 DNF 和 MF 的 ΔLAI 最高。DBF 和 MF 4 月份的 ΔLAI 有逐年增加的趋势,DNF 5 月份的 ΔLAI 有增加的趋势。在影响ΔLAI 的所有直接和间接关系中,温度(TEM)对 DBF 4 月份ΔLAI 的路径系数最大(-1.213),季节开始(SOS)对 DNF(-1.186)和 MF(0.815)的路径系数最大。GUP 中的ΔLAI 对 GPP 有显著的正向影响。在 MF 中,5 月份较高的ΔLAI 最有利于 GPP 的增加。在关键时期,即 4 月和 5 月,叶片的碳分配有效地提高了林地的固碳能力。这些信息对陆地生态系统模型的开发和验证具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Forests
Forests FORESTRY-
CiteScore
4.40
自引率
17.20%
发文量
1823
审稿时长
19.02 days
期刊介绍: Forests (ISSN 1999-4907) is an international and cross-disciplinary scholarly journal of forestry and forest ecology. It publishes research papers, short communications and review papers. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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