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

doi:10.12302/j.issn.1000-2006.202110023

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4): 185-190.doi: 10.12302/j.issn.1000-2006.202110023

Previous Articles Next Articles

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

SHEN Hao¹(), JIANG Jiang¹^,^*(), ZHOU Chen², PAN Qingquan³

1. Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
2. JiangxiAcademy of Forestry, Nanchang 330032, China
3. Shicheng County Forestry Bureau, Ganzhou 341000, China

Received:2021-10-11 Revised:2022-01-19 Online:2023-07-30 Published:2023-07-20

Abstract

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.

Key words: broad-leaved forest, plantation, carbon storage, driving factor

CLC Number:

S156.4

SHEN Hao, JIANG Jiang, ZHOU Chen, PAN Qingquan. 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.

Figures/Tables 5

Table 1

Fig. 1

Fig. 2

Fig. 3

Fig. 4

References 31

[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
	WU 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.
[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.
[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.
[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.
[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 J, 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.
[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.
[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 B, YANG H, YANG R, 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.
[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.
[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 C, 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.
[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.
[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.
[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.
	HU X H, LIU J, 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.
[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 Q, 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.
[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.
[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 Y, 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.
[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.
[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.
	LI S Y, FANG X, 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.
[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.

Related Articles 15

[1]	SUI Xiran, LI Jun, CHEN Juan, HUA Jun, SHEN Qian, YANG Hongsheng, HE Qiancheng, LI You, WANG Wei, PENG Ye, GE Zhiwin, ZHANG Zengxin. Species diversity changes of Platycladus orientalis community at different succession stages in Xuzhou City [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2025, 49(1): 171-178.
[2]	ZHANG Miao, RUAN Honghua, SHEN Caiqin, DING Xuenong, CAO Guohua. Effects of long-term application of biogas slurry on soil carbon, nitrogen, phosphorus and their metering ratio in poplar plantations [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(6): 102-110.
[3]	YANG Yuping, CHEN Caihong, SHE Jiyun, LIN Chuxuan, XIAO Fen, CHEN Chulin. Prediction of the spatiotemporal evolution of county habitat quality under multi-scenario simulation: a case of Taoyuan County [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(6): 201-209.
[4]	ZHOU Mengtian, LIU Li, FU Ruoxian, LI Xiaogang. Effects of litter decomposition of Cunninghamia lanceolata and Schima superba on soil carbon contents, nitrogen contents and enzyme activities in Cunninghamia lanceolata plantations [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(5): 131-138.
[5]	CHEN Leiru, WEN Zhengyu, XU Xiaoniu, YIN Ruoyong, GAO Yu. Effects of long-term nitrogen and phosphorus additions on soil organic carbon storage and its components in a subtropical forest [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(5): 139-146.
[6]	YI Jing, MA Kaisen, XIANG Jianping, TANG Jie, JIANG Fugen, CHEN Song, SUN Hua. Research on TLS single tree detection method based on point cloud slicing combined with clustering algorithm [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(4): 113-122.
[7]	WANG Zimeng, RUAN Honghua, WU Xiaoqiao, YANG Yan, XIE Youchao, SHEN Caiqin, DING Xuenong, CAO Guohua. Effects of nitrogen addition on soil springtail(Collembolan) community in a poplar plantation [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(4): 243-253.
[8]	ZHAO Jinman, HAN Xinyue, CHENG Ruiming, ZHANG Zhidong. Health assessment of Larix gmelinii var. principis-rupprechtii and Pinus sylvestris var. mongolica plantations in Saihanba Nature Reserve [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(3): 199-206.
[9]	WU Yan, HUANG Qing, LIU Xun, ZHENG Rui, CEN Jiabao, DING Bo, ZHANG Yunlin, FU Yuhong. Effects of Pinus massoniana plantation age on soil physical and chemical properties in Karst areas in southwest China [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(3): 99-107.
[10]	ZHAO Zhiqiang, XU Xiaolong, YUAN Qing, WU Yan. Landscape pattern evolution and driving factors of Songhua River wetland in Harbin [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(2): 219-226.
[11]	DONG Yujie, MAO Lingfeng, ZHANG Min, LU Xudong, WU Xiuping. Relationship between aboveground biomass and environmental factors of subtropical typical evergreen broad-leaved forest in east China [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(1): 74-80.
[12]	YAN Zhengming, RUAN Honghua, LIAO Jiahui, SHI Ke, NI Juanping, CAO Guohua, SHEN Caiqin, DING Xuenong, ZHAO Xiaolong, ZHUANG Xin. Abundance and diversity of soil beetles on the forest floor in different aged poplar plantations [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(6): 236-242.
[13]	WANG Yu, YI Yanling, LIU Hai, WEN Xiaochen, LI Tianyi, YIN Haifeng, LI Xianwei, FAN Chuan. Initial impacts of two thinning methods on the spatial structure of Pinus massoniana plantations [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(5): 138-146.
[14]	LI Changai, LIU Ling, QIU Bing, NI Cunming, NING Lili, LI Yaliang, WANG Hui, LIU Xingyu, YANG Suhui. Spatial-temporal change and driving factors of land use/cover in Anhui Province [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(5): 213-223.
[15]	YANG Yuping, HU Wenmin, JIA Guanyu, LI Guo, LI Yi. Scenario simulation integrating the ANN-CA model with the InVEST model to investigate land-based carbon storage in the Dongting Lake area [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(4): 175-184.

Metrics

Comments

www.nldxb.njfu.edu.cn

Edited ＆ Published by Editorial Department of Nanjing Forestry University(Natural Sciences Edition)
Address： No.159 Longpan Road,Nanjing 210037 Jiangsu,P.R.China
E-mail ：xuebao@njfu.edu.cn , xuebao@njfu.com.cn
Telephone +86-25-85428247,85427076
Distributed by China International Book Trading Corporation P.O. Box 399, Beijing ,P.R. China

植被类型 vegetation type	a/ (Mg·m^-3)	b/ (Mg·hm^-2)	平均含碳率 average carbon content
杉木林CF	0.399 9	22.541 0	0.520 1
针叶混交林MF	0.589 4	24.515 1	0.500 0
针阔混交林MNBF	0.714 3	16.915 4	0.500 0
阔叶混交林MBF	0.839 2	9.415 7	0.500 0
硬阔类BHF	0.756 0	8.310 0	0.487 4
软阔类BSF	0.475 4	30.603 4	0.495 6
马尾松林PF	0.510 1	1.045 1	0.459 6

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

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 31

Related Articles 15

Recommended Articles

Metrics

Comments

Author

Reader

Reviewer