中条山森林碳密度时空变化及其驱动因素分析

段兰兰; 刘菊; 贺丽; 王琰; 严俊霞

doi:10.13870/j.cnki.stbcxb.2023.04.021

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中条山森林碳密度时空变化及其驱动因素分析

更新时间：2025-03-12

- 中条山森林碳密度时空变化及其驱动因素分析
- Spatio-temporal Variation and Driving Factors of Forest Carbon Density in Zhongtiao Mountains
- 水土保持学报 2023年37卷第4期页码：158-165
- 作者机构：
  
  1. 山西大学黄土高原研究所,太原,030006
  2. 山西省林业和草原科学研究院,太原,030012
- 作者简介：
  
  [ "段兰兰(1998-),女,硕士,主要从事生态系统碳循环研究。E-mail:duano927@163.com" ]
- 基金信息：
  
  山西省自然科学基金项目(20210302123449);山西省科技厅"山西省森林生态科学数据共享服务平台项目"(201605D121017);山西省科技创新人才团队专项(202204051001010);国家自然科学基金项目(41977412)
- DOI：10.13870/j.cnki.stbcxb.2023.04.021
  中图分类号： S718.55
- 纸质出版：2023
- 稿件说明：
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段兰兰, 刘菊, 贺丽, 等. 中条山森林碳密度时空变化及其驱动因素分析[J]. 水土保持学报, 2023,37(4):158-165.

DUAN Lanlan, LIU Ju, HE Li, et al. Spatio-temporal Variation and Driving Factors of Forest Carbon Density in Zhongtiao Mountains[J]. 2023, 37(4): 158-165.
段兰兰, 刘菊, 贺丽, 等. 中条山森林碳密度时空变化及其驱动因素分析[J]. 水土保持学报, 2023,37(4):158-165. DOI： 10.13870/j.cnki.stbcxb.2023.04.021.

DUAN Lanlan, LIU Ju, HE Li, et al. Spatio-temporal Variation and Driving Factors of Forest Carbon Density in Zhongtiao Mountains[J]. 2023, 37(4): 158-165. DOI： 10.13870/j.cnki.stbcxb.2023.04.021.

摘要

森林碳库在全球碳循环中发挥着重要的作用。为深入了解山西省中条山区森林植被碳密度的时空动态变化及其影响因素

以2005—2015年3期国家森林资源连续清查数据为基础

通过随机森林和结构方程模型

定量研究了森林植被的碳密度以及各驱动因子对碳密度空间分布的贡献度。结果表明:(1)2005年、2010年、2015年中条山森林植被碳密度和碳储量分别为24.87

26.56

31.42 Mg C/hm2和15.89

16.00

20.15 Tg C

二者均呈持续增加趋势

年均增长率分别为2.63%和2.68%。(2)植被碳密度空间分布特征为高(＞100 Mg C/hm2)和中高(60~100 Mg C/hm2)碳密度样地主要分布在中条山中部和西南部

低碳密度区(＜60 Mg C/hm2)主要在东北部。(3)林龄和年均降雨量是影响研究区植被碳密度空间格局的重要驱动因子

林龄对碳密度的直接正向影响最为显著

年均降雨量通过对林分因子的间接影响进而影响碳密度的空间分布格局。

Abstract

Forest carbon pool plays an important role in the global carbon cycle. In order to understand the temporal and spatial dynamics of carbon density of forest vegetation and its influencing factors in Zhongtiao Mountains region of Shanxi Province

we quantitatively studied the carbon density of forest vegetation and the contribution of each driving factor to the spatial distribution of carbon density by using stochastic forest and structural equation model based on the data of national forest resources continuous inventory from 2005 to 2015. The results showed that: (1) The carbon density and carbon storage of forest vegetation in Zhongtiao Mountains in 2005

2010 and 2015 were 24.87

26.56

31.42 Mg C/hm2 and 15.89

16.00

20.15 Tg C

respectively

which showed a continuous increasing trend with an average annual growth rate of 2.63% and 2.68%

respectively. (2) The spatial distribution characteristics of vegetation carbon density were as follows: high (> 100 Mg C/hm2) and medium-high (60~100 Mg C/hm2) carbon density plots were mainly distributed in the central and southwest of Zhongtiao Mountains

while low carbon density plots (< 60 Mg C/hm2) were mainly distributed in the northeast. (3) Stand age and average annual rainfall were two important driving factors affecting the spatial pattern of vegetation carbon density in the study area. The direct positive effect of stand age on carbon density was the most significant

and average annual rainfall affected the spatial distribution pattern of carbon density through an indirect effect on stand factors.

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references

朴世龙,岳超,丁金枝,等.试论陆地生态系统碳汇在"碳中和"目标中的作用[J].中国科学:地球科学,2022,52(7):1419-1426.

Dixon R K, Solomon A M, Brown S, et al. Carbon pools and flux of global forest ecosystems[J].Science,1994,263(5144):185-190.

Mc Kinley D C, Ryan M G, Birdsey R A, et al. A synthesis of current knowledge on forests and carbon storage in the United States[J].Ecological Applications,2011,21:1902-1924.

Li T, Li M Y, Tian L. Dynamics of carbon storage and its drivers in Guangdong Province from 1979 to 2012[J].Forests,2021,12(11):e1482.

Fang J Y, Chen A P, Peng C H, et al. Changes in forest biomass carbon storage in China between 1949 and 1998[J].Science,2001,292(5525):2320-2322.

方精云,郭兆迪,朴世龙,等.1981-2000年中国陆地植被碳汇的估算[J].中国科学D辑:地球科学,2007,37(6):804-812.

Guo Z D, Fang J Y, Pan Y D, et al. Inventory-based estimates of forest biomass carbon stocks in China: A comparison of three methods[J].Forest Ecology and Management,2010,259:1225-1231.

李海奎,赵鹏祥,雷渊才,等.基于森林清查资料的乔木林生物量估算方法的比较[J].林业科学,2012,48(5):44-52.

Wang S Q, Zhou L, Chen J M, et al. Relationships between net primary productivity and stand age for several forest types and their influence on China's carbon balance[J].Journal of Environmental Management,2011,92(6):1651-1662.

Sharma C M, Tiwari O P, Rana Y S, et al. Elevational behaviour on dominance-diversity, regeneration, biomass and carbon storage in ridge forests of Garhwal Himalaya, India[J].Forest Ecology and Management,2018,424:105-120.

Peng W, Pukkala T, Jin X J, et al. Optimal management of larch (

Larix olgensis

A. Henry) plantations in Northeast China when timber production and carbon stock are considered[J].Annals of Forest Science,2018,75(63):1-15.

Yang Y H, Luo Y Q, Finzi A C. Carbon and nitrogen dynamics during forest stand development: A global synthesis[J].New Phytologist,2011,190:977-989.

Xu L, Shi Y J, Fang H Y, et al. Vegetation carbon stocks driven by canopy density and forest age in subtropical forest ecosystems[J]. Science of the Total Environment,2018,631/632:619-626.

Zhou R W, Li W J, Zhang Y P, et al. Responses of the carbon storage and sequestration potential of forest vegetation to temperature increases in Yunnan Province, SW China[J].Forests,2018,9(5):1-15.

Fang J Y, Yu G R, Liu L L, et al. Climate change, human impacts, and carbon sequestration in China[J].Proceedings of the National Academy of Sciences,2018,115(16):4015-4020.

陈力,尹云鹤,赵东升,等.长白山不同海拔树木生长对气候变化的响应差异[J].生态学报,2014,34(6):1568-1574.

赵学鹏,白学平,李俊霞,等.气候变暖背景下不同海拔长白落叶松对气候变化的响应[J].生态学杂志,2019,38(3):637-647.

石亚飞,石善恒,黄晓敏.基于R的结构方程模型在生态学中的应用[J].生态学杂志,2022,41(5):1015-1023.

梁爱军,孙朝升,闫彩云,等.中条山林区人工林林分质量评价[J].西北林学院学报,2017,32(6):203-209.

裴顺祥,法蕾,杜满义,等.中条山油松人工林下物种对群落物种丰富度分布格局的贡献[J].西北植物学报,2021,41(8):1409-1416.

廉凯敏,段福军,苗科,等.中条山油松人工林胸径分布规律研究[J].陕西林业科技,2020,48(5):12-15.

上官铁梁,张峰,樊龙锁.中条山木本植物区系地理成分分析[J].植物研究,2000,20(2):143-155.

国家林业和草原局.GB/T 38590-2020森林资源连续清查技术规程[S].北京:中国标准出版社,2020.

李海奎,雷渊才.中国森林植被生物量和碳储量评估[M].北京:中国林业出版社,2010:13-25.

刘国华,傅伯杰,方精云.中国森林碳动态及其对全球碳平衡的贡献[J].生态学报,2000,20(5):733-740.

Manuel D B, Maestre F T, Reich P B, et al. Microbial diversity drives multifunctionality in terrestrial ecosystems[J].Nature Communications,2016,7(1):e10541.

俞艳霞,张建军,王孟本.山西省森林植被碳储量及其动态变化研究[J].林业资源管理,2008(6):35-39.

张春华,居为民,王登杰,等.2004—2013年山东省森林碳储量及其碳汇经济价值[J].生态学报,2018,38(5):1739-1749.

伊锋,韩有志,贺自书,等.山西太岳山森林生物量与碳密度研究[J].山西农业科学,2017,45(4):599-602.

Zhao M, Zhou G S. Carbon storage of forest vegetation in China and its relationship with climatic factors[J].Climatic Change,2006,74:175-189.

Piao S L, Fang J Y, Ciais P. The carbon balance of terrestrial ecosystems in China[J].Nature,2009,458:1009-1013.

张绘芳,张景路,侯晓巍,等.新疆天山山区乔木林碳密度变化特征及其影响因素[J].水土保持通报,2021,41(2):122-127.

Shipley B, Meziane D. The balanced-growth hypothesis and the allometry[J].Functional Ecology,2002,16(3):326-331.

Peichl M, Arain M A. Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests[J].Forest Ecology and Management,2007,253(1/3):68-80.

Zhang X P, Wang M B, Liang X M. Quantitative classification and carbon density of the forest vegetation in Lüliang Mountains of China[J].Plant Ecology,2009,201(1):1-9.

Wen D, He N P. Forest carbon storage along the north-south transect of eastern of China: Spatial patterns, allocation, and influencing factors[J].Ecological Indicators,2015,61(61):960-967.

辛晓平,丁蕾,程伟,等.北方草地及农牧交错区草地植被碳储量及其影响因素[J].中国农业科学,2020,53(13):2757-2768.

曹扬,陈云明,晋蓓,等.陕西省森林植被碳储量、碳密度及其空间分布格局[J].干旱区资源与环境,2014,28(9):69-73.

潘帅,于澎涛,王彦辉,等.六盘山森林植被碳密度空间分布特征及其成因[J].生态学报,2014,34(22):6666-6677.

孙拖焕,梁守伦,樊兰英,等.山西省森林生态连清与生态系统服务功能研究[M].北京:中国林业出版社,2019.

梁守伦,刘菊,孙拖焕,等.山西省森林经营规划与全周期森林经营模式[M].北京:中国林业出版社,2018.

赵海燕.中条山林区森林健康经营分析[J].山西林业,2014(4):35-36.

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