江西石城不同起源阔叶林碳储量驱动因子分析

沈浩; 姜姜; 周晨; 潘庆全

doi:10.12302/j.issn.1000-2006.202110023

沈浩, 姜姜, 周晨, 潘庆全

南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (4) : 185-190.

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南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (4) : 185-190. DOI: 10.12302/j.issn.1000-2006.202110023

研究论文

江西石城不同起源阔叶林碳储量驱动因子分析

沈浩 ¹ ,
姜姜 ¹^,^* ,
周晨 ² ,
潘庆全 ³

作者信息 +

Research on factors driving carbon storage in broad-leaved forests of different origins from Shicheng, Jiangxi Province

SHEN Hao ¹ ,
JIANG Jiang ¹^,^* ,
ZHOU Chen ² ,
PAN Qingquan ³

Author information +

文章历史 +

摘要

【目的】基于县域森林资源清查数据,估算不同起源阔叶林的碳储量,量化驱动因子对植被碳储量的贡献,并评价主要驱动因素的直接和间接影响,为森林资源的科学管理提供理论依据。【方法】根据江西省石城县2016年森林资源清查统计数据,采用生物量换算因子连续函数法,计算石城县阔叶林的碳储量,结合随机森林 (RF) 分析和结构方程模型(SEM),量化并评价驱动因子对植被碳储量的贡献及影响。【结果】随机森林模型和结构方程模型研究结果表明,研究区天然阔叶林植被碳储量变化主要由林龄决定,标准化总效应值为0.54,其次为郁闭度,效应值为0.36;人工阔叶林碳储量变化主要由郁闭度与林分密度决定,总效应值分别为0.49和0.19,林龄对人工阔叶林碳储量变化没有显著影响。【结论】郁闭度、林龄与林分密度是驱动亚热带阔叶林生态系统碳储量的重要因素,这为研究中亚热带森林生态系统碳循环和碳积累对气候变化的响应提供了新的见解,也为人工林林分管理和森林碳汇潜力评估提供了理论依据。

Abstract

【Objective】Based on the forest resources inventory of Shicheng County, Jiangxi Province, the carbon stored in broad-leaved forests of different origins was estimated to quantify the contribution of driving factors to vegetation carbon storage, then evaluate the direct and indirect effects of such factors, providing a theoretical basis for the scientific management of forest resources.【Method】The biomass of the broad-leaved forest in Shicheng County was calculated based on statistical data from the 2016 forest resource inventory for Shicheng County, Jiangxi Province. Carbon stocks were calculated using the biomass conversion factor continuous function method, and random forest (RF) analysis and structural equation modeling (SEM) were combined to quantify and evaluate the contribution and impact of different drivers on the vegetation carbon stock.【Result】 The results of the random forest and structural equation models indicate that changes in the natural broad-leaved forest vegetation carbon storage are mainly determined by forest age, with a standardized total effect value of 0.54, followed by canopy closure at 0.36. No significant changes were observed in the amount of carbon stored in the forests, which is determined by canopy closure and stand density with total effect values of 0.49 and 0.19, respectively.【Conclusion】Canopy density, forest age and stand density are the main factors driving the carbon storage of subtropical broad-leaved forest ecosystems, providing new insights for understanding the carbon cycle and carbon accumulation in mid-subtropical forest ecosystems in response to climate change. The results of this study provide a theoretical basis for the managements of planted forests and assessment of the carbon sink potential of such forests.

导出引用

沈浩, 姜姜, 周晨, 等. 江西石城不同起源阔叶林碳储量驱动因子分析[J]. 南京林业大学学报（自然科学版）. 2023, 47(4): 185-190 https://doi.org/10.12302/j.issn.1000-2006.202110023

SHEN Hao, JIANG Jiang, ZHOU Chen, et al. Research on factors driving carbon storage in broad-leaved forests of different origins from Shicheng, Jiangxi Province[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(4): 185-190 https://doi.org/10.12302/j.issn.1000-2006.202110023

中图分类号： S156.4

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	YU G R, CHEN Z, PIAO S L, et al. High carbon dioxide uptake by subtropical forest ecosystems in the east Asian Monsoon region[J]. Proc Natl Acad Sci USA, 2014, 111(13):4910-4915.DOI: 10.1073/pnas.1317065111. 本文引用 [1]

[2]	SHI Y J, XU L, ZHOU Y F, et al. Quantifying driving factors of vegetation carbon stocks of Moso bamboo forests using machine learning algorithm combined with structural equation model[J]. For Ecol Manag, 2018, 429:406-413.DOI: 10.1016/j.foreco.2018.07.035. 本文引用 [1]

[3]	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]. Sci Total Environ, 2018, 631/632:619-626.DOI: 10.1016/j.scitotenv.2018.03.080. 本文引用 [1]

[4]	胡理乐, 林伟, 罗遵兰, 等. 井冈山重要森林生态系统碳密度对比[J]. 环境科学研究, 2011, 24(4):401-408. HU L L, LIN W, LUO Z L, et al. Comparison of carbon densities of five dominant forest ecosystems on Jinggang Mountain[J]. Res Environ Sci, 2011, 24(4):401-408.DOI: 10.13198/j.res.2011.04.41.huly.002. 本文引用 [2]

[5]	李默然, 丁贵杰. 贵州黔东南主要森林类型碳储量研究[J]. 中南林业科技大学学报, 2013, 33(7):119-124. LI M R, DING G J. Study on carbon storage of main forest types in southeast part of Guizhou Province[J]. J Central South Univ For Technol, 2013, 33(7):119-124.DOI: 10.14067/j.cnki.1673-923x.2013.07.024. 本文引用 [1]

[6]	李永进, 汤玉喜, 唐洁, 等. 湖南省阔叶林生态系统碳储量及其分布[J]. 湖南林业科技, 2019, 46(2):1-7. LI Y J, TANG Y X, TANG J, et al. Carbon storage and its distribution of broad-leaved forest ecosystems in Hunan Province[J]. Hunan For Sci Technol, 2019, 46(2):1-7.DOI: 10.3969/j.issn.1003-5710.2019.02.001. 本文引用 [1]

[7]	陈济友, 徐昕, 刘晓勇. 江西省第九次森林资源清查主要结果与动态变化分析[J]. 林业资源管理, 2018(2):18-23. CHEN J Y, XU X, LIU X Y. Analysis on the main results and dynamic changes of the ninth forest resources inventory in Jiangxi[J]. For Resour Manag, 2018(2):18-23.DOI: 10.13466/j.cnki.lyzygl.2018.02.004. 本文引用 [1]

[8]	邱凤英, 肖复明, 郭捷, 等. 江西金盆山林区天然常绿阔叶林生态系统碳储量研究[J]. 中南林业科技大学学报, 2020, 40(1):105-113. QIU F Y, XIAO F M, GUO J, et al. Carbon storage of evergreen broad-leaved forest,Jinpenshan,Jiangxi Province[J]. J Central South Univ For Technol, 2020, 40(1):105-113.DOI: 10.14067/j.cnki.1673-923x.2020.01.013. 本文引用 [1]

[9]	王丽艳, 刘光正, 林小凡, 等. 江西德兴地区次生常绿阔叶林生物量[J]. 西部林业科学, 2015, 44(6):115-121. WANG L Y, LIU G Z, LIN X F, et al. Biomass of natural secondary evergreen broad-leaved forest in Dexing area of Jiangxi Province[J]. J West China For Sci, 2015, 44(6):115-121.DOI: 10.16473/j.cnki.xblykx1972.2015.06.023. 本文引用 [1]

[10]	周勇, 徐童心, 罗书文, 等. 江西省石城县降雨径流对森林质量的响应[J]. 浙江农林大学学报, 2021, 38(3):502-509. ZHOU Y, XU T X, LUO S W, et al. Response of rainfall runoff to forest quality in Shicheng County,Jiangxi Province[J]. J Zhejiang A&F Univ, 2021, 38(3):502-509.DOI: 10.11833/j.issn.2095-0756.20200505. 本文引用 [1]

[11]	LI Y C, LI C, LI M Y, et al. Influence of variable selection and forest type on forest aboveground biomass estimation using machine learning algorithms[J]. Forests, 2019, 10(12):1073.DOI: 10.3390/f10121073. 本文引用 [1]

[12]	孙敏, 周春国. 小班尺度森林资源质量评价:以南京市老山林场为例[J]. 江苏农业科学, 2019, 47(2):101-104. SUN M, ZHOU C G. Evaluation of forest resource quality in small class: taking Nanjing Laoshan forest farm as an example[J]. Jiangsu Agric Sci, 2019, 47(2):101-104.DOI: 10.15889/j.issn.1002-1302.2019.02.023. 本文引用 [1]

[13]

中国林业科学研究院资源信息研究所,国家林业局造林绿化管理司. 低效林改造技术规程[Z]. 北京: 国家林业局, 2017: 1-16.

Institute of Resource Information, Chinese Academy of Forestry, Afforestation and Greening Management Department of State Forestry Administration. Technical regulation of restoration of low function forest[Z]. Beijing: State Forestry Administration, 2017: 1-16.

本文引用 [1]

[14]

吴国训, 唐学君, 阮宏华, 等. 基于森林资源清查的江西省森林碳储量及固碳潜力研究[J]. 南京林业大学学报(自然科学版), 2019, 43(1):105-110.

G X

, TANG

X J

, RUAN

H H

, et al. Carbon storage and carbon sequestration potential based on forest inventory data in Jiangxi Province,China[J]. J Nanjing For Univ (Nat Sci Ed), 2019, 43(1):105-110.DOI: 10.3969/j.issn.1000-2006.201711051.

本文引用 [2]

[15]	SANTA P, SATOSHI T, TIMOTHY D. Exploring the inclusion of Sentinel-2 MSI texture metrics in above-ground biomass estimation in the community forest of Nepal[J]. Geocarto Int, 2020, 35(16):1832-1849. 本文引用 [1]

[16]	BORDIN K M, ESQUIVEL-MUELBERT A, BERGAMIN R S, et al. Climate and large-sized trees, but not diversity, drive above-ground biomass in subtropical forests[J]. For Ecol Manag, 2021, 490: 119126. DOI:10.1016/j.foreco.2021.119126. 本文引用 [2]

[17]	LI S F, LIU W D, LANG X D, et al. Species richness,not abundance,drives ecosystem multifunctionality in a subtropical coniferous forest[J]. Ecol Indic, 2021, 120:106911.DOI: 10.1016/j.ecolind.2020.106911. 本文引用 [1]

[18]

黄兴召, 许崇华, 徐俊, 等. 利用结构方程解析杉木林生产力与环境因子及林分因子的关系[J]. 生态学报, 2017, 37(7):2274-2281.

HUANG

X Z

, XU

C H

, XU

, et al. Structural equation model analysis of the relationship between environmental and stand factors and net primary productivity in Cunninghamia lanceolata forests[J]. Acta Ecol Sin, 2017, 37(7):2274-2281.DOI: 10.5846/stxb201512132482.

本文引用 [1]

[19]	黄妮娜, 黄新春. 江西省石城县林业产业存在问题及发展策略[J]. 世界热带农业信息, 2020(10):41-43. HUANG N N, HUANG X C. Problems and development strategies of forestry industry in Shicheng County, Jiangxi Province[J]. World Trop Agric Inf, 2020(10):41-43. 本文引用 [1]

[20]

金彪, 杨华, 杨蕊, 等. 中亚热带常绿阔叶林乔木层碳储量特征[J]. 湖南林业科技, 2018, 45(3):49-52.

JIN

, YANG

, et al. The characteristics of different tree biomass carbon of evergreen broad-leaf forests in mid-subtropical region of China[J]. Hunan For Sci Technol, 2018, 45(3):49-52.DOI: 10.3969/j.issn.1003-5710.2018.03.010.

本文引用 [1]

[21]

张继平, 张林波, 刘春兰, 等. 井冈山中亚热带森林植被碳储量及固碳潜力估算[J]. 生态环境学报, 2016, 25(1):9-14.

ZHANG

J P

, ZHANG

L B

, LIU

C L

, et al. Estimation of carbon stock and carbon sequestration potential of mid-subtropical forest in Jinggang Mountain national nature reserve[J]. Ecol Environ Sci, 2016, 25(1):9-14.DOI: 10.16258/j.cnki.1674-5906.2016.01.002.

本文引用 [1]

[22]

张秋根, 任超, 王苏琴, 等. 江西省亚热带常绿阔叶林碳储量和碳密度的影响因子[J]. 南昌航空大学学报(自然科学版), 2018, 32(4):86-92.

ZHANG

Q G

, REN

, WANG

S Q

, et al. Carbon storage and carbon density impact factor of subtropical evergreen broad-leaved forests in Jiangxi Province[J]. J Nanchang Hangkong Univ (Nat Sci), 2018, 32(4):86-92.DOI: 10.3969/j.issn.1001-4926.2018.04.014.

本文引用 [1]

[23]	杨娟, 袁位高, 江波, 等. 环境因子对浙江省重点公益林生物量的影响研究[J]. 浙江林业科技, 2007, 27(2):20-23,29. YANG J, YUAN W G, JIANG B, et al. Effect of environment on biomass of major ecological forest in Zhejiang[J]. J Zhejiang For Sci Technol, 2007, 27(2):20-23,29.DOI: 10.3969/j.issn.1001-3776.2007.02.005. 本文引用 [1]

[24]	邓瑞明. 戴云山不同类型森林生物量差异特征及其与土壤养分的关系[J]. 林业建设, 2018(6):29-32. DENG R M. Relationship between the biomass characteristics and soil nutrients among different forest types in Daiyun Mountain[J]. For Constr, 2018(6):29-32. 本文引用 [1]

[25]

胡雪寒, 刘娟, 姜培坤, 等. 亚热带森林转换对不同粒径土壤有机碳的影响[J]. 土壤学报, 2018, 55(6):1485-1493.

X H

, LIU

, JIANG

P K

, et al. Effects of change in forest type on soil organic carbon in soil particles relative to size in subtropical China[J]. Acta Pedol Sin, 2018, 55(6):1485-1493.DOI: 10.11766/trxb201803140028.

本文引用 [1]

[26]

周沁, 文仕知, 何功秀, 等. 湖南阔叶林生态系统生物量和碳储量分布特征[J]. 福建林业科技, 2020, 47(3):8-13,50.

ZHOU

, WEN

S Z

, HE

G X

, et al. Distribution characteristics of biomass and carbon storage of broad-leaved forest ecosystem in Hunan Province[J]. J Fujian For Sci Technol, 2020, 47(3):8-13,50.DOI: 10.13428/j.cnki.fjlk.2020.03.002.

本文引用 [1]

[27]	JUCKER T, BOURIAUD O, COOMES D A. Crown plasticity enables trees to optimize canopy packing in mixed-species forests[J]. Funct Ecol, 2015, 29(8):1078-1086.DOI: 10.1111/1365-2435.12428. 本文引用 [1]

[28]

郑宇, 郑怀舟. 人为干扰对福建建瓯常绿阔叶林空间结构的影响[J]. 闽江学院学报, 2008, 29(5):113-119.

ZHENG

, ZHENG

H Z

. Effects of human disturbance on the spatial structure of the evergreen broad-leaf forest in Jianou City of Fujian Province[J]. J Minjiang Univ, 2008, 29(5):113-119.DOI: 10.3969/j.issn.1009-7821.2008.05.027.

本文引用 [1]

[29]	WANG J S, SUN J, XIA J Y, et al. Soil and vegetation carbon turnover times from tropical to boreal forests[J]. Funct Ecol, 2018, 32(1):71-82.DOI: 10.1111/1365-2435.12914. 本文引用 [1]

[30]

李尚益, 方晰, 陈金磊, 等. 人为干扰对中亚热带森林生物量及其空间分布格局的影响[J]. 生态学报, 2018, 38(17):6111-6124.

S Y

, FANG

, CHEN

J L

, et al. Effects of different degrees of anthropogenic disturbance on biomass and spatial distribution in subtropical forests in central Southern China[J]. Acta Ecol Sin, 2018, 38(17):6111-6124.DOI: 10.5846/stxb201709101629.

本文引用 [1]

[31]	张会儒, 雷相东, 张春雨, 等. 森林质量评价及精准提升理论与技术研究[J]. 北京林业大学学报, 2019, 41(5):1-18. ZHANG H R, LEI X D, ZHANG C Y, et al. Research on theory and technology of forest quality evaluation and precision improvement[J]. J Beijing For Univ, 2019, 41(5):1-18.DOI: 10.13332/j.1000-1522.20190219. 本文引用 [1]