基于Biome-BGC模型的浙江凤阳山针阔混交林碳动态模拟

doi:10.12302/j.issn.1000-2006.202211005

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南京林业大学学报（自然科学版） ›› 2024, Vol. 48 ›› Issue (5): 11-20.doi: 10.12302/j.issn.1000-2006.202211005

所属专题：专题报道：自然保护地森林生态系统研究

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基于Biome-BGC模型的浙江凤阳山针阔混交林碳动态模拟

黄璐瑶¹(), 杜珊凤¹, 纪小芳², 管鑫¹, 刘胜龙³, 叶丽敏⁴, 姜姜¹^,^*()

1.南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室,南京林业大学林草学院、水土保持学院,江苏南京 210037
2.中国农业科学院农业资源与农业区划研究所,北京 100081
3.钱江源-百山祖国家公园龙泉保护中心,浙江龙泉 323700
4.景宁畲族自治县生态林业发展中心,浙江景宁 323500

收稿日期:2022-11-04 修回日期:2023-03-28 出版日期:2024-09-30 发布日期:2024-10-03
通讯作者: * 姜姜(jiangjiang@njfu.edu.cn),教授。
作者简介:
黄璐瑶(hly123066@163.com)。
基金资助:
百山祖国家公园科学研究项目(2022JBGS03);百山祖国家公园科学研究项目(2021ZDLY01);国家自然科学基金项目(32071612);江苏省碳达峰碳中和科技创新专项(BE2022307)

Carbon dynamic simulation based on Biome-BGC model in mixed coniferous and broadleaved forest of Fengyang Mountain, Zhejiang Province

HUANG Luyao¹(), DU Shanfeng¹, JI Xiaofang², GUAN Xin¹, LIU Shenglong³, YE Limin⁴, JIANG Jiang¹^,^*()

1. Co-Innovation Center for Sustainable Forestry in Southern China, Jiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration,College of Forestry and Grassland, College of Soil and Water Conservation, Nanjing Forestry University, Nanjing 210037, China
2. Institute of Agricultural Resources and Regional Planing, Chinese Academy of Agricultural Sciences, Beijing 100081, China
3. Longquan Conservation Center of Qianjiangyuan-Baishanzu National Park, Longquan 323700, China
4. Jingning She Autonomous County Ecological Forestry Development Center, Jingning 323500, China

Received:2022-11-04 Revised:2023-03-28 Online:2024-09-30 Published:2024-10-03

摘要/Abstract

摘要：

【目的】探究浙江省凤阳山亚热带针阔混交林的碳动态变化规律及其对气候变化的响应。【方法】运用Biome- BGC模型模拟了1979—2018年凤阳山的净初级生产力(NPP)、总初级生产力(GPP)和净生态系统生产力(NEP),对不同时间尺度的气候因子和NPP之间做皮尔逊相关性分析与二次函数拟合,探究NPP与主要气候因子的关系及响应模式,最后设定不同气候情景预测凤阳山未来100 a的碳动态变化趋势。【结果】过去40年凤阳山针阔混交林GPP、NPP、NEP的平均值分别为1 392.94、451.25、16.21 g/(m²·a),除了1984、2002、2005、2008及2010年,其余年份为碳汇,且呈现“碳源—碳汇”季节交替的特征。NPP对气温变化的敏感程度最高,夏季气温的上升对NPP的增加起积极作用,而冬季气温的升高却对NPP起到反作用。一定程度内,冬季降水对NPP有促进作用,而夏季降水对NPP为负作用。RCP2.6、RCP4.5、RCP6.0情景下凤阳山森林总初级生产力在21世纪均呈现上升趋势,至2100年,RCP2.6、RCP4.5和RCP6.0情景下凤阳山GPP分别达到1 552.73、1 660.30及1 960.41 g/(m²·a),相对于2018年GPP分别增加1.38%、8.41%和28.00%。【结论】凤阳山森林生态系统在正常情况下表现为碳汇,但山区夏季阴雨天气一定程度上抑制了气温对碳汇的增加作用。未来增温、降水量增加、CO₂浓度升高同时作用下,将有利于凤阳山针阔混交林的生长。

关键词: 针阔混交林, Biome-BGC模型, 碳动态, 气候变化, 浙江凤阳山

Abstract:

【Objective】This study aims to investigate the carbon dynamics of subtropical mixed coniferous and broadleaved forests in Fengyang Mountain, Zhejiang Province and their response to climate change. 【Method】The Biome-BGC model was used to simulate the net primary productivity (NPP), gross primary productivity (GPP), and net ecosystem productivity (NEP) in Fengyang Mountain from 1979 to 2018, to investigate the relationships between climate factors and NPP at different time scales. Pearson correlation analysis and quadratic function fitting were performed between climate factors and NPP at different temporal scales to explore the relationship and response patterns between NPP and major climate factors, and finally, different climate scenarios were applied to predict the carbon cycling trends in Fengyang Mountain in the next 100 years. 【Result】The average values of GPP, NPP and NEP of mixed coniferous and broadleaved forests in Fengyang Mountain for 40 years were 1 392.94, 451.25 and 16.21 g/(m²·a), respectively. Except for 1984, 2002, 2005, 2008 and 2010, which were carbon sinks and showed that the sensitivity of NPP to temperature change was the highest, and the increase of temperature in summer had a positive effect on the increase of NPP, while the increase of temperature in winter had a negative effect on NPP. To a certain extent, winter rainfall showed a positive effect on NPP, while summer precipitation showed a negative effect on NPP. The gross primary productivity of Fengyang Mountain forests in RCP2.6, RCP4.5 and RCP6.0 scenarios will keep increasing in the 21st century, and by 2100, the GPP of the studied forests in Fengyang Mountain under RCP2.6, RCP4.5 and RCP6.0 scenarios will reach 1 552.73, 1 660.30 and 1 960.41 g/(m²·a), respectively, and get increased 1.38%, 8.41% and 28.00% relative to the GPP in 2018. 【Conclusion】Overall, the forest ecosystem of Fengyang Mountain exhibited carbon sinks under normal conditions, but the cloudy and rainy summer weather in the mountainous area inhibited the increasing effect of temperature on carbon sinks to some extent. The future warming, increased rainfall and higher CO₂ concentration simultaneously will favor the vegetation growth of mixed coniferous forests in Fengyang Mountain.

Key words: mixed coniferous and broadleaved forest, Biome-BGC model, carbon dynamics, climate change, Fengyang Mountain of Zhejiang Province

中图分类号:

S718.5

黄璐瑶,杜珊凤,纪小芳,等. 基于Biome-BGC模型的浙江凤阳山针阔混交林碳动态模拟[J]. 南京林业大学学报（自然科学版）, 2024, 48(5): 11-20.

HUANG Luyao, DU Shanfeng, JI Xiaofang, GUAN Xin, LIU Shenglong, YE Limin, JIANG Jiang. Carbon dynamic simulation based on Biome-BGC model in mixed coniferous and broadleaved forest of Fengyang Mountain, Zhejiang Province[J].Journal of Nanjing Forestry University (Natural Science Edition), 2024, 48(5): 11-20.DOI: 10.12302/j.issn.1000-2006.202211005.

图/表 9

表1

Biome-BGC植被生理生态参数"

生理参数parameter	优化数值 reference value
叶与细根周转比/a^-1 annual leaf and fine root turnover fraction	0.502 4
年活立木周转率/a^-1 annual live wood turnover fraction	0.720 9
年整株植物死亡率/a^-1 annual whole-plant mortality fraction	0.005 0
年植物火灾死亡率/a^-1 annual fire mortality fraction	0.002 9
细根与叶碳分配比 ratio of new fine root C to new leaf C	0.909 8
茎与叶碳分配比 ratio of new stem C to new leaf C	0.787 8
新生木质组织与总木质组织碳分配比 ratio of new live wood C to total wood C	0.191 8
粗根与茎干碳分配比 coarse root C to new stem C ratio		0.329 2
当前生长部分比例 rate of current growth		0.411 4
叶片碳氮比 leaf C/N		42.0
落叶碳氮比 litter leaf C/N		49.479
细根碳氮比 fine root C/N		41.981
活木质组织碳氮比 live wood C/N		50.086
死木质组织碳氮比 dead wood C/N		295.56
凋落物不稳定比例 leaf litter labile proportion		0.32
凋落物纤维素比例 leaf litter cellulose proportion		0.44
凋落物木质素比例leaf litter lignin proportion		0.24
细根不稳定比例fine root labile proportion		0.30
细根纤维素比例fine root cellulose proportion		0.45
细根木质素比例fine root lignin proportion		0.25
死木纤维比例dead wood cellulose proportion		0.76
死木木质素比例dead wood lignin proportion		0.24
冠层截留系数 intercept coefficient of canopy		0.041
冠层消光系数 extinction coefficient of canopy		0.712
比叶面积/(m²·kg^-1) specific leaf area		11.98
阴阳叶比叶面积比ratio of shaded SLA to sunlit SLA		2.08
Rubisco酶中叶氮质量分数 fraction of leaf N in Rubisco		0.06
最大气孔导度/(m·s^-1) maximum stomatal conductance		0.005
表层电导/(m·s^-1) cuticular conductance		0.000 01
边界层导度/(m·s^-1) boundary layer conductance		0.01
叶水势传导上限/MPa leaf water potential to start of conductance reduction ratio		-0.6
叶水势传导下限/MPa leaf water potential to complete conductance reduction ratio		-3.9
水汽压差限制传导上限/Pa vapor pressure deficit to start of conductance reduction ratio		1 800.0
水汽压差限制传导下限/Pa vapor pressure deficit to complete conductance reduction ratio		4 100.0

表1

表2

图1

图2

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图5

图6

图7

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情景 scenario	气温升高 (每10 a)/℃ increased air temperature value	降水量增加 (每10 a)/% increased precipitation value	CO₂浓度 (至2100年)/ (μmol·mol^-1) CO₂ concentration
RCP2.6	0.08	0.6	421
RCP4.5	0.26	1.1	538
RCP6.0	0.61	1.6	670

基于Biome-BGC模型的浙江凤阳山针阔混交林碳动态模拟

Carbon dynamic simulation based on Biome-BGC model in mixed coniferous and broadleaved forest of Fengyang Mountain, Zhejiang Province

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