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量化降水波动对中国东北森林生长的影响。

Quantifying the impact of precipitation fluctuations on forest growth in Northeast China.

作者信息

Hai Yue, Han Tian, Wang Yu, Li Ruonan, Yang Yanzheng, Wen Zhi, Zheng Hua

机构信息

State Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

Front Plant Sci. 2025 May 20;16:1570005. doi: 10.3389/fpls.2025.1570005. eCollection 2025.

Abstract

INTRODUCTION

In the context of climate change, the escalating frequency of global precipitation fluctuations amplifies uncertainties in assessing the impact on forest ecosystem productivity. Hence, elucidating the dynamic relationship between precipitation characteristics and forest growth can provide effective management strategies for addressing climate change.

METHODS

This study utilizes precipitation data from 1982 to 2022 to construct the frequency and amplitude of precipitation fluctuations and analyzes the response of forest growth in northern China to these precipitation variations.

RESULTS

The growth of 13.7% of the region's forest is declining, with 8.1% of the area showing significant degradation. The core degradation zones for forest growth are located in semi-arid regions with precipitation frequencies ≥ 12 and amplitudes ≤ 60 mm and subhumid regions with precipitation frequencies ≥ 14 and amplitudes ≤ 65 mm. In the core semi-arid zone, deciduous broadleaf shrublands have greatest degraded area (2.8×104 ha), but deciduous needleleaf forests have the highest proportion of degradation (57.1%), while in the subhumid core degradation zone, deciduous broadleaf forests have the highest area (1.7×105 ha) and proportion of degradation (9.3%).

DISCUSSION

This study not only provides a novel perspective for evaluating forest ecosystem responses to precipitation characteristics, but also offers crucial theoretical support for advancing the implementation of Nature-based Solutions in practical applications.

摘要

引言

在气候变化的背景下,全球降水波动频率不断增加,这加大了评估其对森林生态系统生产力影响的不确定性。因此,阐明降水特征与森林生长之间的动态关系,可为应对气候变化提供有效的管理策略。

方法

本研究利用1982年至2022年的降水数据构建降水波动的频率和幅度,并分析中国北方森林生长对这些降水变化的响应。

结果

该地区13.7%的森林生长呈下降趋势,其中8.1%的面积出现显著退化。森林生长的核心退化区位于降水频率≥12且幅度≤60毫米的半干旱地区,以及降水频率≥14且幅度≤65毫米的亚湿润地区。在核心半干旱区,落叶阔叶灌丛退化面积最大(2.8×104公顷),但落叶针叶林退化比例最高(57.1%);而在亚湿润核心退化区,落叶阔叶林退化面积最大(1.7×105公顷),退化比例最高(9.3%)。

讨论

本研究不仅为评估森林生态系统对降水特征的响应提供了新视角,也为推动基于自然的解决方案在实际应用中的实施提供了关键的理论支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df12/12130735/b3f1d07edf6c/fpls-16-1570005-g001.jpg

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