安徽省森林碳储量现状及固碳潜力

doi:10.17521/cjpe.2015.0147

植物生态学报 ›› 2016, Vol. 40 ›› Issue (4): 395-404.DOI: 10.17521/cjpe.2015.0147

所属专题：生态遥感及应用；碳储量

安徽省森林碳储量现状及固碳潜力

汲玉河^1,², 郭柯^1,^*(), 倪健³, 徐小牛⁴, 王志高⁵, 王树东⁶

¹中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
²中国气象科学研究院, 北京 100081
³中国科学院地球化学研究所环境地球化学国家重点实验室, 贵阳 550081
⁴安徽农业大学林学与园林学院, 合肥 230036
⁵安庆师范大学生命科学学院, 安徽安庆 246133
⁶中国科学院遥感与数字地球研究所, 北京 100101

收稿日期:2015-04-21 接受日期:2015-08-13 出版日期:2016-04-29 发布日期:2016-04-30
通讯作者: 郭柯
基金资助:
中国科学院战略性先导科技专项(XDA- 0505020401)

Current forest carbon stocks and carbon sequestration potential in Anhui Province, China

Yu-He JI^1,², Ke GUO^1,^*(), Jian NI³, Xiao-Niu XU⁴, Zhi-Gao WANG⁵, Shu-Dong WANG⁶

¹State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

²Chinese Academy of Meteorological Science, Beijing 100081, China

³State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China

⁴School of Forestry & Landscape Architecture, Anhui Agricultural University, Hefei 230036, China

⁵Department of Life Science, Anqing Normal University, Anqing, Anhui 246133, China
and
⁶State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received:2015-04-21 Accepted:2015-08-13 Online:2016-04-29 Published:2016-04-30
Contact: Ke GUO

摘要/Abstract

摘要：

为阐明安徽省不同林龄的森林生态系统的碳储量现状, 以及现有自然环境条件下顶极森林生态系统的固碳潜力, 采用野外样地调查和BIOME4模型方法对此进行研究。安徽省森林生态系统的现状总碳储量为714.5 Tg C, 其中植被碳402.1 Tg C、土壤碳312.4 Tg C。从幼龄林至过熟林的生长过程中, 森林生态系统的总碳密度和植被碳密度都呈现增长趋势。但土壤碳密度从幼龄林至近熟林阶段呈增加趋势, 近熟林以后出现减少趋势。安徽省幼龄林和中龄林占森林总面积的75%, 若幼、中龄林发展到近熟林阶段, 将增加125.4 Tg C。BIOME4模拟显示: 当森林发展到气候顶极森林时, 安徽省森林生态系统将增加245.7 Tg C, 即总固碳潜力包括植被固碳153.7 Tg C, 土壤固碳92.0 Tg C。

关键词: 固碳潜力, 顶极森林群落, 土壤碳密度, 土壤碳储量, 植被碳密度, 植被碳储量

Abstract:

Aims
This study was conducted to investigate carbon stocks in forest ecosystems of different stand ages in Anhui Province, and to identify the carbon sequestration potential of climax forests controlled by the natural environment conditions.
Methods
Data were collected based on field investigations and simulations were made with the BIOME4 carbon cycle model.
Important findings
Currently, the total forest carbon stocks in Anhui Province amounts to 714.5 Tg C: 402.1 Tg C in vegetation and 312.4 Tg C in soil. Generally, both the total and vegetation carbon density exhibit an increasing trend with the natural growth of forest stands. Soil carbon density increases from young to near mature forests, and then gradually decreases thereafter. Young and middle-aged forests account for 75% of the total forest area in Anhui Province, with potentially an additional 125.4 Tg C to be gained after the young and middle-aged forests reach near mature stage. Results of BIOME4 simulations show that potentially an additional 245.7 Tg C, including 153.7 Tg C in vegetation and 92 Tg C in soil, could be gained if the current forests are transformed into climax forest ecosystems in Anhui Province.

Key words: carbon sequestration, climax forest communities, soil carbon density, soil carbon stocks, vegetation carbon density, vegetation carbon stocks

汲玉河, 郭柯, 倪健, 徐小牛, 王志高, 王树东. 安徽省森林碳储量现状及固碳潜力. 植物生态学报, 2016, 40(4): 395-404. DOI: 10.17521/cjpe.2015.0147

Yu-He JI, Ke GUO, Jian NI, Xiao-Niu XU, Zhi-Gao WANG, Shu-Dong WANG. Current forest carbon stocks and carbon sequestration potential in Anhui Province, China. Chinese Journal of Plant Ecology, 2016, 40(4): 395-404. DOI: 10.17521/cjpe.2015.0147

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https://www.plant-ecology.com/CN/Y2016/V40/I4/395

图/表 13

参考文献 27

1	Cao Y, Chen YM, Ji B, Qu M (2014). Carbon storage and density of forest vegetation and its spatial distribution pattern in Shaanxi Province.Journal of Arid Land Resources and Environment, 28(9), 69-73. (in Chinese with English abstract)[曹扬, 陈云明, 晋蓓, 渠美 (2014). 陕西省森林植被碳储量、碳密度及其空间分布格局. 干旱区资源与环境, 28(9), 69-73.]
2	Dong ZY, Ouyang Y, Li H, Wang L, Zhao DH, An SQ, Liu SR (2011). Modeling the biome of North-South transect of eastern China in the future using BIOME4 model. Journal of Nanjing Forestry University (Natural Sciences Edition), 35(3), 21-27. (in Chinese with English abstract)[董卓瑶, 欧阳琰, 李航, 王磊, 赵德华, 安树青, 刘世荣 (2011). 基于BIOME4模拟未来中国东部南北样带生物群区的分布. 南京林业大学学报(自然科学版), 35(3), 21-27.]
3	Fang JY, Chen AP, Peng CH, Zhao SQ, Ci LJ (2001). Changes in forest biomass carbon storage in China between 1949 and 1998.Science, 292, 2320-2322.
4	Fang JY, Guo ZD, Hu HF, Kato T, Muraoka H, Son Y (2014). Forest biomass carbon sinks in East Asia, with special reference to the relative contributions of forest expansion and forest growth.Global Change Biology, 20, 2019-2030.
5	Fang JY, Guo ZD, Piao SL, Chen AP (2007). Terrestrial vegetation carbon sinks in China, 1981-2000.Science in China Series D: Earth Sciences, 50, 1341-1350.[方精云, 郭兆迪, 朴世龙, 陈安平 (2007). 1981-2000年中国陆地植被碳汇的估算. 中国科学D辑: 地球科学, 37, 804-812.]
6	Fu T (2013). Carbon Estimation of Main Forest Ecosystem in Three Gorges Reservoir Area Using CBM-CFS3. PhD dissertation, Chinese Academy of Forestry, Beijing. 1-39. (in Chinese with English abstract)[付甜 (2013). 基于CBM-CFS3模型的三峡库区主要森林生态系统碳计量. 博士学位论文, 中国林业科学研究院, 北京. 1-39.]
7	Guo ZD, Fang JY, Pan YD, Birdsey R (2010). Inventory-based estimates of forest biomass carbon stocks in China: A comparison of three methods.Forest Ecology and Management, 259, 1225-1231.
8	IPCC (The Intergovernmental Panel on Climate Change) (2007). Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL eds. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. 1-18.
9	Liu YC, Yu GR, Wang QF, Zhang YJ, Xu ZH (2015). Carbon carry capacity and carbon sequestration potential in China based on an integrated analysis of mature forest biomass.Science China: Life Sciences, 57, 1218-1229. (in Chinese with English abstract)[刘迎春, 于贵瑞, 王秋凤, 张扬建, 徐泽鸿 (2015). 基于成熟林生物量整合分析中国森林碳容量和固碳潜力. 中国科学: 生命科学, 45, 210-222.]
10	McKinley DC, Ryan MG, Birdsey RA, Giardina CP, Harmon ME, Heath LS, Houghton RA, Jackson RB, Morrison JF, Murray BC, Pataki DE, Skog KE (2011). A synthesis of current knowledge on forests and carbon storage in the United States.Ecological Applications, 21, 1902-1924.
11	Mehta N, Pandya NR, Thomas VO, Krishnayya NSR (2014). Impact of rainfall gradient on aboveground biomass and soil organic carbon dynamics of forest covers in Gujarat, India. Ecological Research, 29, 1053-1063.
12	Ni J (2001). Carbon storage in terrestrial ecosystems of China: Estimates at different spatial resolutions and their responses to climate change.Climatic Change, 49, 339-358.
13	Ni J (2002). BIOME Models: Main principles and applications.Acta Phytoecologica Sinica, 26, 481-488. (in Chinese with English abstract)[倪健 (2002). BIOME系列模型: 主要原理与应用. 植物生态学报, 26, 481-488.]
14	Ni J, Sykes MT, Prentice IC, Cramer W (2000). Modelling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3.Global Ecology & Biogeography, 9, 463-479.
15	Peng CH, Apps MJ (1997). Contribution of China to the global carbon cycle since the last glacial maximum.Tellus, 49, 393-408.
16	Pu Y, Huang GS (2013). Analyses on young-and-middle aged forests characteristics and the tending potential in China.Journal of Southwest Forestry University, 33(4), 53-57. (in Chinese with English abstract)[蒲莹, 黄国胜 (2013). 我国中幼龄林资源特点及抚育潜力分析. 西南林业大学学报, 33(4), 53-57.]
17	Tewksbury CE, van Miegroet H (2007). Soil organic carbon dynamics along a climatic gradient in a southern Appalachian spruce-fir forest.Canadian Journal of Forest Research, 37, 1161-1172.
18	The Editorial Committee of Vegetation Map of China, Chinese Academy of Sciences (2007). Vegetation Map of the People’s Republic of China 1:1000000. Geological Publishing House, Beijing. (in Chinese)[中国科学院中国植被图编辑委员会 (2007). 中华人民共和国植被图1:1000000. 地质出版社, 北京.]
19	Wang H (2011). Modelling of Vegetation Patterns and Functions in China Responding to Changes of Climates and Atmospheric CO2 Concentration. PhD dissertation, Institute of Botany, Chinese Academy of Sciences, Beijing. 36-37. (in Chinese with English abstract).[王焓 (2011). 响应气候和大气CO2浓度变化的中国植被格局与功能模拟研究. 博士学位论文, 中国科学院植物研究所, 北京. 36-37.]
20	Wang H, Ni J, Prentice IC (2011). Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO2.Regional Environmental Change, 11, 715-727.
21	Wang S, Chen JM, Ju WM, Feng X, Chen M, Chen P, Yu G (2007). Carbon sinks and sources in China’s forests during 1901-2001.Journal of Environmental Management, 85, 524-537.
22	Wu QB, Wang XK, Duan XN, Deng LB, Lu F, Ouyang ZY, Feng ZW (2008). Carbon sequestration and its potential by forest ecosystems in China.Acta Ecologica Sinica, 28, 517-524. (in Chinese with English abstract)[吴庆标, 王效科, 段晓男, 邓立斌, 逯非, 欧阳志云, 冯宗炜 (2008). 中国森林生态系统植被固碳现状和潜力. 生态学报, 28, 517-524.]
23	Xu B, Guo ZD, Piao SL, Fang JY (2010). Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships.Science China Life Sciences, 53, 776-783. (in Chinese)[徐冰, 郭兆迪, 朴世龙, 方精云 (2010). 2000-2050年中国森林生物量碳库: 基于生物量密度与林龄关系的预测. 中国科学: 生命科学, 40, 587-594.]
24	Xu ZL, Zhao CY, Feng ZD, Zhang F, Sher H, Wang C, Peng HH, Wang Y, Zhao Y, Wang Y, Peng SZ, Zheng XL (2013). Estimating realized and potential carbon storage benefits from reforestation and afforestation under climate change: A case study of the Qinghai spruce forests in the Qilian Mountains, northwestern China.Mitigation and Adaptation Strategies for Global Change, 18, 1257-1268.
25	Zhang XW (2014). Effect of Drying-Rewetting on Litter and Soil Organic Matter Decomposition in Zoigê Wetland. Master degree dissertation, Beijing Forest University, Beijing. 11-33. (in Chinese with English abstract)[张雪雯 (2014). 干湿交替对若尔盖湿地枯落物和土壤有机质分解的影响. 硕士学位论文, 北京林业大学, 北京. 11-33.]
26	Zhao JF, Yan XD, Jia GS (2012). Simulating net carbon budget of forest ecosystems and its response to climate change in Northeastern China using improved FORCCHN.Chinese Geographical Science, 22, 29-41.
27	Zhou YR, Yu ZL, Zhao SD (2000). Carbon storage and budget of major Chinese forest types.Acta Phytoecologica Sinica, 24, 518-522. (in Chinese with English abstract)[周玉荣, 于振良, 赵士洞 (2000). 我国主要森林生态系统碳贮量和碳平衡. 植物生态学报, 24, 518-522.]

	干 Stem	枝 Branch	叶 Leaf	根 Root	胸径 Diameter at breast height (cm)
马尾松 Pinus massoniana	W = 0.0337(D²H)^0.9551 R² = 0.996	W = 0.036(D²H)^0.7948 R² = 0.997	W = 0.0016(D²H)^1.1007 R² = 0.998	W = 0.015(D²H)^0.8322 R² = 0.974	1.0-50.4
杉木 Cunninghamia lanceolata	W = 0.0411(D²H)^0.8941 R² = 0.990	W = 0.0015(D²H)^1.062 R² = 0.999	W = 0.0108(D²H)^0.8246 R² = 0.999	W = 0.0314(D²H)^0.7592 R² = 0.990	1.0-85.5
甜槠栲 Castanopsis eyrei	W = 0.0278(D²H)^0.9251 R² = 0.998	W = 0.0137(D²H)^0.9053 R² = 0.994	W = 0.0054(D²H)^0.9248 R² = 0.997	W = 0.0013(D²H)^1.2697 R² = 0.975	4.9-52.9
苦槠栲 Castanopsis sclerophylla	W = 0.0201(D²H)^0.9719 R² = 0.990	W = 0.04101(D²H)^0.662 R² = 0.990	W = 0.0617(D²H)^0.5259 R² = 0.990	W = 0.0281(D²H)^0.8011 R² = 0.967	4.7-36.4
青冈 Cyclobalanopsis glauca	W = 0.0735(D²H)^0.8503 R² = 0.967	W = 0.0086(D²H)^1.0031 R² = 0.931	W = 0.0084(D²H)^0.8108 R² = 0.871	W = 0.0181(D²H)^0.8732 R² = 0.952	2.4-60.0
台湾松 Pinus taiwanensis	W = 0.0581(D²H)^0.8159 R² = 0.991	W = 0.0032(D²H)^1.128 R² = 0.987	W = 0.0091(D²H)^0.8579 R² = 0.986	W = 0.0133(D²H)^0.8872 R² = 0.988	4.0-79.5
湿地松 Pinus elliottii	W = 0.0474(D²H)^0.8841 R² = 0.994	W = 0.0079(D²H)^0.9572 R² = 0.993	W = 0.0166(D²H)^0.9734 R² = 0.971	W = 0.0070 (D²H)^1.1038 R² = 0.990	1.5-32.5
黑杨 Populus nigra	W = 0.0635(D²H)^0.8227 R² = 0.991	W = 0.171(D²H)^0.5689 R² = 0.995	W = 0.0568(D²H)^0.56 R² = 0.978	W = 0.0118(D²H)^0.8848 R² = 0.984	6.2-98.5
麻栎 Quercus acutissima	W = 0.0235(D²H)^0.9792 R² = 0.950	W = 0.0004(D²H)^1.3585 R² = 0.988	W = 0.0028(D²H)^0.8444 R² = 0.976	W = 0.0125(D²H)^0.9308 R² = 0.978	2.2-47.1
针叶混交林 Coniferous mixed forest	W = 0.018(D²H)^1.089 R² = 0.941	W = 0.013(D²H)^0.857 R² = 0.793	W = 0.005(D²H)^0.929 R² = 0.884	W = 0.021(D²H)^0.809 R² = 0.909	3.1-84.5
阔叶混交林 Broadleaved mixed forest	W = 0.045 (D²H)^0.874 R² = 0.953	W = 0.020 (D²H)^0.839 R² = 0.880	W = 0.010 (D²H)^0.780 R² = 0.848	W = 0.009 (D²H)^0.974 R² = 0.906	2.0-98.6
针阔混交林 Conifer-broadleaved mixed forest	W = 0.049(D²H)^0.870 R² = 0.955	W = 0.013(D²H)^0.867 R² = 0.817	W = 0.007(D²H)^0.860 R² = 0.843	W = 0.014(D²H)^0.874 R² = 0.891	2.0-98.6

	干 Stem	枝 Branch	叶 Leaf	根 Root	胸径 Diameter at breast height (cm)
马尾松 Pinus massoniana	W = 0.0337(D²H)^0.9551 R² = 0.996	W = 0.036(D²H)^0.7948 R² = 0.997	W = 0.0016(D²H)^1.1007 R² = 0.998	W = 0.015(D²H)^0.8322 R² = 0.974	1.0-50.4
杉木 Cunninghamia lanceolata	W = 0.0411(D²H)^0.8941 R² = 0.990	W = 0.0015(D²H)^1.062 R² = 0.999	W = 0.0108(D²H)^0.8246 R² = 0.999	W = 0.0314(D²H)^0.7592 R² = 0.990	1.0-85.5
甜槠栲 Castanopsis eyrei	W = 0.0278(D²H)^0.9251 R² = 0.998	W = 0.0137(D²H)^0.9053 R² = 0.994	W = 0.0054(D²H)^0.9248 R² = 0.997	W = 0.0013(D²H)^1.2697 R² = 0.975	4.9-52.9
苦槠栲 Castanopsis sclerophylla	W = 0.0201(D²H)^0.9719 R² = 0.990	W = 0.04101(D²H)^0.662 R² = 0.990	W = 0.0617(D²H)^0.5259 R² = 0.990	W = 0.0281(D²H)^0.8011 R² = 0.967	4.7-36.4
青冈 Cyclobalanopsis glauca	W = 0.0735(D²H)^0.8503 R² = 0.967	W = 0.0086(D²H)^1.0031 R² = 0.931	W = 0.0084(D²H)^0.8108 R² = 0.871	W = 0.0181(D²H)^0.8732 R² = 0.952	2.4-60.0
台湾松 Pinus taiwanensis	W = 0.0581(D²H)^0.8159 R² = 0.991	W = 0.0032(D²H)^1.128 R² = 0.987	W = 0.0091(D²H)^0.8579 R² = 0.986	W = 0.0133(D²H)^0.8872 R² = 0.988	4.0-79.5
湿地松 Pinus elliottii	W = 0.0474(D²H)^0.8841 R² = 0.994	W = 0.0079(D²H)^0.9572 R² = 0.993	W = 0.0166(D²H)^0.9734 R² = 0.971	W = 0.0070 (D²H)^1.1038 R² = 0.990	1.5-32.5
黑杨 Populus nigra	W = 0.0635(D²H)^0.8227 R² = 0.991	W = 0.171(D²H)^0.5689 R² = 0.995	W = 0.0568(D²H)^0.56 R² = 0.978	W = 0.0118(D²H)^0.8848 R² = 0.984	6.2-98.5
麻栎 Quercus acutissima	W = 0.0235(D²H)^0.9792 R² = 0.950	W = 0.0004(D²H)^1.3585 R² = 0.988	W = 0.0028(D²H)^0.8444 R² = 0.976	W = 0.0125(D²H)^0.9308 R² = 0.978	2.2-47.1
针叶混交林 Coniferous mixed forest	W = 0.018(D²H)^1.089 R² = 0.941	W = 0.013(D²H)^0.857 R² = 0.793	W = 0.005(D²H)^0.929 R² = 0.884	W = 0.021(D²H)^0.809 R² = 0.909	3.1-84.5
阔叶混交林 Broadleaved mixed forest	W = 0.045 (D²H)^0.874 R² = 0.953	W = 0.020 (D²H)^0.839 R² = 0.880	W = 0.010 (D²H)^0.780 R² = 0.848	W = 0.009 (D²H)^0.974 R² = 0.906	2.0-98.6
针阔混交林 Conifer-broadleaved mixed forest	W = 0.049(D²H)^0.870 R² = 0.955	W = 0.013(D²H)^0.867 R² = 0.817	W = 0.007(D²H)^0.860 R² = 0.843	W = 0.014(D²H)^0.874 R² = 0.891	2.0-98.6

	年数 Years	森林面积 Forest area (×10⁴ hm²)	土壤碳密度 Soil C density (×10⁶g C·hm^-2)	植被碳密度 Vegetation C density (×10⁶g C·hm^-2)	总碳密度 Total C density (×10⁶g C·hm^-2)	土壤碳 Soil C stocks (Tg C)	植被碳 Vegetation C stocks (Tg C)	总碳 Total C stocks (Tg C)
幼龄林 Young stand	0-20	136.7	81.5	68.9	150.4	111.4	94.2	205.6
中龄林 Middle stand	20-40	137.2	86.4	99.5	186.0	118.6	136.6	255.2
近熟林 Pre-mature stand	40-60	57.5	96.9	117.2	214.0	55.7	67.3	123.0
成熟林 Mature stand	60-80	27.4	76.8	262.3	339.1	21.1	71.9	92.9
过熟林 Over-mature stand	>80	8.1	69.8	395.1	464.9	5.7	32.1	37.8
总计 Total		367.0				312.4	402.1	714.5

	年数 Years	森林面积 Forest area (×10⁴ hm²)	土壤碳密度 Soil C density (×10⁶g C·hm^-2)	植被碳密度 Vegetation C density (×10⁶g C·hm^-2)	总碳密度 Total C density (×10⁶g C·hm^-2)	土壤碳 Soil C stocks (Tg C)	植被碳 Vegetation C stocks (Tg C)	总碳 Total C stocks (Tg C)
幼龄林 Young stand	0-20	136.7	81.5	68.9	150.4	111.4	94.2	205.6
中龄林 Middle stand	20-40	137.2	86.4	99.5	186.0	118.6	136.6	255.2
近熟林 Pre-mature stand	40-60	57.5	96.9	117.2	214.0	55.7	67.3	123.0
成熟林 Mature stand	60-80	27.4	76.8	262.3	339.1	21.1	71.9	92.9
过熟林 Over-mature stand	>80	8.1	69.8	395.1	464.9	5.7	32.1	37.8
总计 Total		367.0				312.4	402.1	714.5

森林类型 Forest type	植被碳密度 Vegetation C density (t·hm^-2)	土壤碳密度 Soil C density (t·hm^-2)
温带落叶阔叶林 Temperate deciduous broadleaf forests	126	121
温带针叶林 Temperate needle leaf forests	100	136
亚热带落叶阔叶林 Subtropical deciduous broadleaf forests	132	135
常绿-落叶阔叶混交林 Mixed evergreen-deciduous broadleaf forests	150	111
亚热带常绿阔叶林 Subtropical evergreen broadleaf forests	163	103
亚热带针叶林 Subtropical needle leaf forests	154	108

安徽省森林碳储量现状及固碳潜力

Current forest carbon stocks and carbon sequestration potential in Anhui Province, China

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	森林面积 Forest area (×10⁴ hm²)	碳密度 Carbon density (×10⁶g C·hm^-2)	碳储量 Carbon stocks (Tg C)
森林植被 Forest vegetation	366.96	151.5	555.8
森林土壤 Forest soil	366.96	110.2	404.4
森林生态系统 Forest ecosystem	366.96	261.7	960.2

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