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基于树木年轮的气候变化和人类活动对鲁中南山区丘陵植被覆盖变化的影响

Impacts of climate change and human activities on vegetation coverage variation in mountainous and hilly areas in Central South of Shandong Province based on tree-ring.

作者信息

Yin Tingting, Zhai Yinuo, Zhang Yan, Yang Wenjun, Dong Jinbin, Liu Xiao, Fan Peixian, You Chao, Yu Linqian, Gao Qun, Wang Hui, Zheng Peiming, Wang Renqing

机构信息

Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China.

Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.

出版信息

Front Plant Sci. 2023 Jun 5;14:1158221. doi: 10.3389/fpls.2023.1158221. eCollection 2023.

DOI:10.3389/fpls.2023.1158221
PMID:37342129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10277696/
Abstract

INTRODUCTION

It is of great significance to understand the characteristics and influencing factors of vegetation coverage variation in the warm temperate zone. As a typical region of the warm temperate zone in eastern China, the mountainous and hilly region in central-south Shandong Province has fragile ecological environment and soil erosion problem. Studying on vegetation dynamics and its influencing factors in this region will help to better understand the relationship between climate change and vegetation cover change in the warm temperate zone of eastern China, and the influence of human activities on vegetation cover dynamics.

METHODS

Based on dendrochronology, a standard tree-ring width chronology was established in the mountainous and hilly region of central-south Shandong Province, and the vegetation coverage from 1905 to 2020 was reconstructed to reveal the dynamic change characteristics of vegetation cover in this region. Secondly, the influence of climate factors and human activities on the dynamic change of vegetation cover was discussed through correlation analysis and residual analysis.

RESULTS AND DISCUSSION

In the reconstructed sequence, 23 years had high vegetation coverage and 15 years had low vegetation coverage. After low-pass filtering, the vegetation coverage of 1911-1913, 1945-1951, 1958-1962, 1994-1996, and 2007-2011 was relatively high, while the vegetation coverage of 1925-1927, 1936-1942, 2001-2003, and 2019-2020 was relatively low. Although precipitation determined the variation of vegetation coverage in this study area, the impacts of human activities on the change of vegetation coverage in the past decades cannot be ignored. With the development of social economy and the acceleration of urbanization, the vegetation coverage declined. Since the beginning of the 21st century, ecological projects such as Grain-for-Green have increased the vegetation coverage.

摘要

引言

了解暖温带植被覆盖变化特征及影响因素具有重要意义。山东中南部山区作为中国东部暖温带的典型区域,生态环境脆弱,存在水土流失问题。研究该区域植被动态及其影响因素,有助于更好地理解中国东部暖温带气候变化与植被覆盖变化的关系,以及人类活动对植被覆盖动态的影响。

方法

基于树木年轮学,在山东中南部山区建立了标准树轮宽度年表,重建了1905年至2020年的植被覆盖情况,以揭示该区域植被覆盖的动态变化特征。其次,通过相关性分析和残差分析,探讨了气候因素和人类活动对植被覆盖动态变化的影响。

结果与讨论

在重建序列中,有23年植被覆盖度高,15年植被覆盖度低。经过低通滤波后,1911 - 1913年、1945 - 1951年、1958 - 1962年、1994 - 1996年和2007 - 2011年的植被覆盖度相对较高,而1925 - 1927年、1936 - 1942年、2001 - 2003年和2019 - 2020年的植被覆盖度相对较低。尽管降水决定了本研究区域植被覆盖度的变化,但过去几十年人类活动对植被覆盖度变化的影响也不容忽视。随着社会经济发展和城市化加速,植被覆盖度下降。自21世纪初以来,退耕还林等生态工程增加了植被覆盖度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/8d486ac4a53a/fpls-14-1158221-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/1781091c0c1e/fpls-14-1158221-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/2fda201403b9/fpls-14-1158221-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/2e3f61c25ecd/fpls-14-1158221-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/8562eb8f3e07/fpls-14-1158221-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/f4431ff92ce2/fpls-14-1158221-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/e94637b48cf8/fpls-14-1158221-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/c0a4bcacc670/fpls-14-1158221-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/a22524d05c8f/fpls-14-1158221-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/8d486ac4a53a/fpls-14-1158221-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/1781091c0c1e/fpls-14-1158221-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/2fda201403b9/fpls-14-1158221-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/2e3f61c25ecd/fpls-14-1158221-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/8562eb8f3e07/fpls-14-1158221-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/f4431ff92ce2/fpls-14-1158221-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/e94637b48cf8/fpls-14-1158221-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/c0a4bcacc670/fpls-14-1158221-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/a22524d05c8f/fpls-14-1158221-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edf/10277696/8d486ac4a53a/fpls-14-1158221-g009.jpg

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