北京松山天然落叶阔叶林生态系统净碳交换特征及其影响因子

doi:10.13287/j.1001-9332.202011.008

应用生态学报 ›› 2020, Vol. 31 ›› Issue (11): 3621-3630.doi: 10.13287/j.1001-9332.202011.008

北京松山天然落叶阔叶林生态系统净碳交换特征及其影响因子

李润东^1,2, 范雅倩³, 冯沛³, 宋泽³, 李鑫豪^1,2, 闫惠娟^1,2, 马莉⁴, 查天山^1,2*

¹北京林业大学水土保持学院, 北京 100083;
²北京林业大学水土保持国家林业局重点实验室, 北京 100083;
³北京松山国家级自然保护区管理处, 北京 102100;
⁴北京市园林设计工程有限公司, 北京 100029

收稿日期:2020-06-08 接受日期:2020-08-31 出版日期:2020-11-15 发布日期:2021-06-10
通讯作者: * E-mail: tianshanzha@bjfu.edu.cn
作者简介:李润东, 男, 1995年生, 硕士研究生。主要从事生态系统碳水循环过程研究。E-mail: lirundong11@163.com
基金资助:
国家自然科学基金项目(31361130340)资助

Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China

LI Run-dong^1,2, FAN Ya-qian³, FENG Pei³, SONG Ze³, LI Xin-hao^1,2, YAN Hui-juan^1,2, Ma Li⁴, ZHA Tian-shan^1,2*

¹School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
²Key Laboratory of State Forestry Administration on Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
³Beijing Songshan National Nature Reserve Administration, Beijing 102100, China;
⁴Beijing Landscape Design Engineering Co. Ltd., Beijing 100029, China

Received:2020-06-08 Accepted:2020-08-31 Online:2020-11-15 Published:2021-06-10
Contact: * E-mail: tianshanzha@bjfu.edu.cn
Supported by:
the National Natural Science Foundation of China (31361130340).

摘要/Abstract

摘要： 森林生态系统在陆地碳循环过程中发挥着重要作用,关于温带落叶阔叶林生态系统碳平衡过程影响机制的讨论尚未统一。本研究于2019年对北京松山典型落叶阔叶林生态系统的净碳交换量(NEE)及空气温度(T_a)、土壤温度(T_s)、光合有效辐射(PAR)、饱和水气压差(VPD)、土壤含水量(SWC)、降雨量(P)等环境因子进行原位连续监测,分析松山落叶阔叶林生态系统净碳交换特征及其对环境因子的响应。结果表明: 在日尺度上,NEE生长季(5—10月)各月平均日变化均呈“U”字形变化,日间为碳汇,夜间为碳源。其他月份NEE均为正值,变化平缓,表现为碳源。在季节尺度上,NEE呈单峰曲线变化规律,全年NEE为-111 g C·m^-2·a^-1,生态系统呼吸总量(R_e)为555 g C·m^-2·a^-1,总生态系统生产力(GEP)为666 g C·m^-2·a^-1。碳吸收与释放量分别在6月与11月达到最大值。PAR是影响日间净碳交换量(NEE_d)的主导因子,二者关系符合Michaelis-Menten模型,VPD是间接影响NEE_d的主导因子,最适宜日间净碳交换的VPD范围为1～1.5 kPa。土壤温度是影响夜间净碳交换量(NEE_n)的主导因子,SWC是NEE_n的限制因子,SWC过高或过低均会对NEE_n产生抑制,最适值为0.28 m³·m^-3。

关键词: 净生态系统交换, 涡度相关法, 环境因子, 通径分析

Abstract: Forests play an important role in terrestrial carbon cycles. The mechanism underlying carbon balance in temperate deciduous broad-leaved forests is not clear. In this study, net ecosystem exchange (NEE) and environmental factors, including air temperature (T_a), soil temperature (T_s), photosynthetically active radiation (PAR), vapor pressure deficit (VPD), soil water content (SWC) and precipitation (P) were continually measured using eddy covariance techniques in 2019 in a deciduous broad-leaved forest in Songshan, Beijing. We analyzed the characteristics of NEE and its response to environmental factors. The results showed that, at diurnal scale, the monthly averaged NEE exhibited a “U” shape curve (i.e., being a carbon sink over daytime while being a carbon source during nighttime) over the growing season. During the non-growing season, NEE was positive (i.e., carbon source) at diurnal scale. At the seasonal scale, NEE exhibited a unimodal curve. The annual cumulative NEE was -111 g C·m^-2·a^-1. Annual ecosystem respiration was 555 g C·m^-2·a^-1, while gross ecosystem productivity was 666 g C·m^-2·a^-1. Carbon sequestration peaked in June, while emission peaked in November. PAR was the dominant factor affecting daytime NEE (NEE_d). VPD was the main factor that indirectly affected daytime NEE_d, with an optimal VPD value that maximizes daytime NEE around 1-1.5 kPa. Soil temperature was the main factor affecting nighttime NEE (NEE_n). SWC was a limiting factor for NEE_n. Too high or too low SWC would inhibit NEE_n, with an optimal SWC value of 0.28 m³·m^-3.

Key words: net ecosystem carbon exchange, eddy covariance, environmental factor, path analysis

李润东, 范雅倩, 冯沛, 宋泽, 李鑫豪, 闫惠娟, 马莉, 查天山. 北京松山天然落叶阔叶林生态系统净碳交换特征及其影响因子[J]. 应用生态学报, 2020, 31(11): 3621-3630.

LI Run-dong, FAN Ya-qian, FENG Pei, SONG Ze, LI Xin-hao, YAN Hui-juan, Ma Li, ZHA Tian-shan. Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China[J]. Chinese Journal of Applied Ecology, 2020, 31(11): 3621-3630.

参考文献

[1] IPCC. Climate Change 2013: The Physical Science Basis. Contribution of Working Group Ⅰ to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press, 2013
[2] 陈云飞, 江洪, 周国模, 等. 人工高效经营雷竹林CO₂通量估算及季节变化特征. 生态学报, 2013, 33(11): 3434-3444 [Chen Y-F, Jiang H, Zhou G-M, et al. Estimation of CO₂ fluxes and its seasonal variations from the effective management Lei bamboo. Acta Ecolo-gica Sinica, 2013, 33(11): 3434-3444]
[3] 李小梅, 张秋良. 环境因子对兴安落叶松林生态系统CO₂通量的影响. 北京林业大学学报, 2015, 37(8): 31-39 [Li X-M, Zhang Q-L. Impact of climate factors on CO₂ flux characteristics in a Larix gmelinii forest ecosystem. Journal of Beijing Forestry University, 2015, 37(8): 31-39]
[4] Wharton S, Falk M. Climate indices strongly influence old-growth forest carbon exchange. Environmental Research Letters, 2016, 11: 044016
[5] Maneke-Fiegenbaum F, Klemm O, Lai YJ, et al. Carbon exchange between the atmosphere and a subtropical evergreen mountain forest in Taiwan. Advances in Meteoro-logy, 2018, 2018: 1-12
[6] Hinko-Najera N, Livesley SJ, Beringer J, et al. Net ecosystem carbon exchange of a dry temperate eucalypt forest. Biogeosciences, 2017, 2016: 1-33
[7] 纪小芳, 鲁建兵, 杨军, 等. 凤阳山针阔混交林碳通量变化特征及其影响因子. 东北林业大学学报, 2019, 47(3): 49-55 [Ji X-F, Lu J-B, Yang J, et al. Carbon flux variation characteristics and its influencing factors in coniferous and broad-leaved mixed forest in Fengyang Mountain. Journal of Northeast Forestry University, 2019, 47(3): 49-55]
[8] 徐丽君, 唐华俊, 杨桂霞, 等. 贝加尔针茅草原生态系统生长季碳通量及其影响因素分析. 草业学报, 2011, 20(6): 287-292 [Xu L-J, Tang H-J, Yang G-X, et al. Variation of net ecosystem carbon flux and its impact factors on Stipa baicalensis steppe in the growing season. Acta Prataculturae Sinica, 2011, 20(6): 287-292]
[9] Hayek MN, Marcos L, Jin W, et al. Carbon exchange in an Amazon forest: From hours to years. Biogeosciences, 2018, 15: 4833-4848
[10] Wu J, Albert LP, Lopes AP, et al. Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science, 2016, 351: 972-976
[11] 周媛媛, 李新荣, 高艳红, 等. 环境因子对沙坡头人工植被区碳通量的影响. 兰州大学学报: 自然科学版, 2017, 53(4): 512-520 [Zhou Y-Y, Li X-R, Gao Y-H, et al. Effects of environment factors on the carbon flux of artificial vegetation in Shapotou. Journal of Lanzhou University: Natural Science, 2017, 53(4): 512-520]
[12] Jia X, Zha TS, Wu B, et al. Biophysical controls on net ecosystem CO₂ exchange over a semiarid shrubland in northwest China. Biogeosciences, 2014, 11: 57-70
[13] Jia X, Zha TS, Gong JN, et al. Carbon and water exchange over a temperate semi-arid shrubland during three years of contrasting precipitation and soil moisture patterns. Agricultural and Forest Meteorology, 2016, 228-229: 120-129
[14] 吴利禄, 高翔, 褚建民, 等. 民勤绿洲-荒漠过渡带梭梭人工林净碳交换及其影响因子. 应用生态学报, 2019, 30(10): 3336-3346 [Wu L-L, Gao X, Chu J-M, et al. Net carbon exchange and its driving factors of Haloxylon ammodendron plantation in the oasis-desert ecotone of Minqin, China. Chinese Journal of Applied Ecology, 2019, 30(10): 3336-3346]
[15] 唐祥, 陈文婧, 李春义, 等. 北京八达岭林场人工林净碳交换及其环境影响因子. 应用生态学报, 2013, 24(11): 3057-3064 [Tang X, Chen W-J, Li C-Y, et al. Net carbon exchange and its environmental affecting factors in a forest plantation in Badaling, Beijing of China. Chinese Journal of Applied Ecology, 2013, 24(11): 3057-3064]
[16] 朱苑, 刘帆, 王传宽, 等. 帽儿山温带落叶阔叶林净生态系统碳交换的日变化及光响应特征. 应用生态学报, 2020, 31(1): 72-82 [Zhu Y, Liu F, Wang C-K, et al. Diurnal variation and light response of net ecosystem carbon exchange in a temperate broadleaved deciduous forest at Maoershan, Northeast China. Chinese Journal of Applied Ecology, 2020, 31(1): 72-82]
[17] Wright S. Correlation and causation. Journal of Agricultural Research, 1921, 20: 557-585
[18] 范晓锋, 李淑杰, 陈思. 土地利用变化对生态服务价值影响的研究——以吉林省为例. 安徽农业科学, 2014, 42(30): 10743-10746 [Fan X-F, Li S-J, Chen S. The research on the effects of the land-use change on the ecological service value with an example of Jilin Province. Journal of Anhui Agricultural Sciences, 2014, 42(30): 10743-10746]
[19] 牛晓栋, 江洪, 张金梦, 等. 浙江天目山老龄森林生态系统CO₂通量特征. 应用生态学报, 2016, 27(1): 1-8 [Niu X-D, Jiang H, Zhang J-M, et al. Characte-ristics of CO₂ flux in an old growth mixed forest in Tianmu Mountain, Zhejiang, China. Chinese Journal of Applied Ecology, 2016, 27(1): 1-8]
[20] 王倩, 王云琦, 马超, 等. 缙云山针阔混交林碳通量变化特征及影响因子研究. 长江流域资源与环境, 2019, 28(3): 75-86 [Wang Q, Wang Y-Q, Ma C, et al. Characteristics of carbon fluxes and their response to environmental factors in ecosystems of mixed coniferous and broad-leaved forests in Jinyun Mountain. Resources and Environment in the Yangtze Basin, 2019, 28(3): 75-86]
[21] Noormets A, Chen JQ, Crow TR. Age-dependent changes in ecosystem carbon flux in managed forests in northern Wisconsin, USA. Ecosystems, 2007, 10: 187-203
[22] Lloyd J, Taylor JA. On the temperature dependence of soil respiration. Functional Ecology, 1994, 8: 315-323
[23] 同小娟, 张劲松, 孟平, 等. 华北低丘山地人工林生态系统净碳交换与气象因子的关系. 生态学报, 2009, 29(12): 6638-6645 [Tong X-J, Zhang J-S, Meng P, et al. Relationship between net ecosystem carbon exchange and meteorological factors in a plantation in the hilly area of the North China. Acta Ecologica Sinica, 2009, 29(12): 6638-6645]
[24] 敬艳辉, 邢留伟. 通径分析及其应用. 统计教育, 2006(2): 24-26 [Jing Y-H, Xing L-W. Path analysis and its application. Statistical Education, 2006(2): 24-26]
[25] Liu P, Black TA, Jassal RS, et al. Divergent long-term trends and interannual variation in ecosystem resource use efficiencies of a southern boreal old black spruce forest 1999-2017. Global Change Biology, 2019, 25: 3056-3069
[26] Zhang LH, Chen YN, Zhao RF, et al. Significance of temperature and soil water content on soil respiration in three desert ecosystems in Northwest China. Journal of Arid Environments, 2010, 74: 1200-1211
[27] Zha TS, Barr AG, Bernier PY, et al. Gross and aboveground net primary production at Canadian forest carbon flux sites. Agricultural and Forest Meteorology, 2013, 174-175: 54-64
[28] 于贵瑞, 温学发, 李庆康, 等. 中国亚热带和温带典型森林生态系统呼吸的季节模式及环境响应特征. 中国科学: 地球科学, 2004, 34(suppl.2): 84-94 [Yu G-R, Wen X-F, Li Q-K, et al. The seasonal pattern and environmental response characteristics of typical forest ecosystems in subtropical and temperate regions of China. Scientia Sinica: Terrae, 2004, 34(suppl.2): 84-94]
[29] Spunda V, Kalina J, Urban O, et al. Diurnal dynamics of photosynthetic parameters of Norway spruce trees cultivated under ambient and elevated CO₂: The reasons of midday depression in CO₂ assimilation. Plant Science, 2005, 168: 1371-1381
[30] Chen Z, Yu GR, Wang QF. Effects of climate and forest age on the ecosystem carbon exchange of afforestation. Journal of Forestry Research, 2020, 31: 365-374
[31] Yao YT, Wang XH, Li Y, et al. Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years. Global Change Biology, 2017, 24: 184-196
[32] Novick KA, Oishi AC, Ward EJ, et al. On the diffe-rence in the net ecosystem exchange of CO₂ between deciduous and evergreen forests in the southeastern United States. Global Change Biology, 2015, 21: 827-842
[33] Yamanoi K, Mizoguchi Y, Utsugi H. Effects of a windthrow disturbance on the carbon balance of a broadleaf deciduous forest in Hokkaido, Japan. Biogeosciences, 2015, 12: 10425-10468
[34] Fei XH, Song QH, Zhang YP, et al. Carbon exchanges and their responses to temperature and precipitation in forest ecosystems in Yunnan, Southwest China. Science of the Total Environment, 2018, 616-617: 824-840
[35] Yang F, Zhou G, Hunt JE, et al. Biophysical regulation of net ecosystem carbon dioxide exchange over a tempe-rate desert steppe in Inner Mongolia, China. Agriculture, Ecosystems & Environment, 2011, 142: 318-328
[36] Zhang LH, Chen YN, Zhao RF, et al. Significance of temperature and soil water content on soil respiration in three desert ecosystems in Northwest China. Journal of Arid Environments, 2010, 74: 1200-1211

北京松山天然落叶阔叶林生态系统净碳交换特征及其影响因子

Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China

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