Dynamic Change of Net Production and Mean Net Primary Productivity of China’s Forests

YU Chao; WANG Bin; LIU Hua; YANG Xiao-sheng; XIU Zhen-zhen

Volume 27 Issue 4

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Dynamic Change of Net Production and Mean Net Primary Productivity of China’s Forests

1.
School of Forestry & Landscape Architecture, Anhui Agricultural University, Hefei 230036, Anhui, China
2.
Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang 311400, Zhejiang, China

Received Date: 2013-12-10

Abstract

Based on data from the National Forest Inventory from 1973 to 2008, the net production and mean net primary productivity of China's forests were estimated by various forest types and climatic zones. The results showed that, over the last 40 years, the total net production and mean net primary productivity of China's forest was increasing. The total net production increased from 803.359×106 t·a-1(1973 to 1976) to 1 478.425×106 t·a-1(2004 to 2008), with an increase of 84.03%. The mean net primary productivity increased from 7.302 t·hm-2·a-1(1973 to 1976) to 9.502 t·hm-2·a-1 (2004 to 2008), with an increase of 30.13%. The subtropical mixed evergreen-deciduous broadleaved forest, Betula and Populus forest, temperate typical deciduous broadleaved forest and subtropical evergreen broadleaved forest made a greater contribution to the net production of China's forest. The tropical rainforest and monsoon forest, subtropical mixed evergreen-deciduous broadleaved forest and subtropical evergreen broadleaved forest had higher mean net primary productivity, while that of Pinus tabulaeformis forest and P. massoniana forest were lower. Among different climatic zones, the net production of forest vegetation reduced in fluctuations in the tropics, while it increased in all the other three climatic zones. From 1973 to 2008, the relations of the mean net primary productivity in different climatic zones are as follows: tropical (18.625 t·hm-2·a-1) > cold and temperate (9.610 t·hm-2·a-1) > subtropical (8.499 t·hm-2·a-1) > warm temperate (7.800 t·hm-2·a-1).
- forest vegetation,
- net production,
- mean net primary productivity,
- dynamic change

References

[1]	罗天祥. 中国主要森林类型生物生产力格局及其数学模型[D]. 北京:中国科学院研究生院(国家计划委员会自然资源综合考察委员会),1996
[2]	朴世龙,方精云,郭庆华. 1982-1999年我国植被净第一性生产力及其时空变化[J]. 北京大学学报:自然科学版,2001,37(4): 563-569
[3]	Dixon R K, Brown S, Houghton R A, et al. Carbon pools and flux of global forest ecosystems[J]. Science, 1994, 263(5144): 185-190
[4]	方精云,陈安平,赵淑清,等. 中国森林生物量的估算:对Fang等Science一文(Science,2001,291:2320-2322)的若干说明[J]. 植物生态学报,2002,26(2): 243-249
[5]	Brown S L, Schroeder P, Kern J S. Spatial distribution of biomass in forests of the eastern USA [J]. Forest Ecology and Management, 1999, 123(1): 81-90
[6]	Kauppi P E, Mielikinen K, Kuusela K. Biomass and carbon budget of European forests, 1971 to 1990[J]. Science,1992, 256(5053): 70-74
[7]	Field C B, Behrenfeld M J, Randerson J T, et al. Primary production of the biosphere: integrating terrestrial and oceanic components[J]. Science, 1998, 281(5374): 237-240
[8]	冯宗炜,王效科,吴刚. 中国森林生态系统的生物量和生产力[M]. 北京: 科学出版社,1999
[9]	Rosswall T. The international geosphere-biosphere programme: a study of global change (IGBP)[J]. Environmental Geology, 1992, 20(2): 77-78
[10]	IGBP. The terrestrial carbon cycle: implications for the Kyoto Protocol [J]. Science, 1998, 280(5368): 1393-1394
[11]	Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity(NPP):overview and key results[J]. Global Change Biology,1999,5(1):1215
[12]	刘磊. 基于多源数据的森林生物量与生产力估算研究[D]. 南京: 南京林业大学,2010
[13]	赵士洞,罗天祥. 区域尺度陆地生态系统生物生产力研究方法[J]. 资源科学,1998,20(1): 25-36
[14]	张冬有,冯仲科,李亦秋,等. 基于C-FIX模型的黑龙江省森林植被净初级生产力遥感估算[J]. 林业科学,2011,47(7):13-19
[15]	董丹,倪健. 利用CASA模型模拟西南喀斯特植被净第一性生产力[J]. 生态学报,2011,31(7): 1855-1866
[16]	高清竹,万运帆,李玉娥,等. 基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局[J]. 应用生态学报,2007,18(11): 2526-2532
[17]	王萍. 基于IBIS模型的东北森林净第一性生产力模拟[J]. 生态学报,2009,29(6):3213-3220
[18]	黄晓云,林德根,王静爱,等. 气候变化背景下中国南方喀斯特地区NPP时空变化[J]. 林业科学,2013,49(5):10-16
[19]	王斌,刘某承,张彪. 基于森林资源清查资料的森林植被净生产量及其动态变化研究[J]. 林业资源管理,2009,1(3): 35-43
[20]	Zhao M, Zhou G S. A New Methodology for Estimating NPP of Forest from Forest Inventory Data: A Case Study [J].Journal of Forestry Research, 2004, 15(2): 93-100
[21]	王玉辉,周广胜,蒋延玲,等. 基于森林资源清查资料的落叶松林生物量和净生长量估算模式[J]. 植物生态学报,2001,25(4): 420-425
[22]	李文华. 森林生物生产力的概念极其研究的基本途径[J]. 自然资源,1978(1):71-92
[23]	张宪洲. 我国自然植被净第一性生产力的估算与分布[J]. 自然资源,1993(1): 15-21
[24]	方精云,刘国华,徐嵩龄. 我国森林植被的生物量和净生产量[J]. 生态学报,1996,16(5):497-508
[25]	Zhou G S, Wang Y H, Jiang Y L, et al. Estimating biomass and net primary production from forest inventory data: a case study of China's Larix forests [J]. Forest Ecology and Management, 2002, 169(1): 149-157
[26]	Zhao M, Zhou G S. Estimation biomass and NPP of major planted forests based on forest inventory data in China [J]. Forest Ecology and Management, 2005, 207(3):295-313
[27]	Wang B, Huang J, Yang X, et al. Estimation of biomass, net primary production and net ecosystem production of China's forests based on the 1999-2003 National Forest Inventory[J]. Scandinavian Journal of Forest Research, 2010, 25(6): 544-553
[28]	汪业勖,赵士洞,牛栋. 陆地土壤碳循环的研究动态[J]. 生态学杂志,1999,18(5):29-35
[29]	吴庆标,王效科,段晓男. 中国森林生态系统植被固碳现状和潜力[J]. 生态学报,2008,28(2): 517-514
[30]	肖兴威. 中国森林生物量与生产力的研究[D]. 哈尔滨: 东北林业大学, 2005
[31]	Tomppo, E. Nilsson M. Rosengern M, et al.Simultaneous use of Landsst TM and IRS-IC WIFS data in estimating large area tree stem volume and aboveground biomass[J]. Remote Sensing of Environment, 2002,82(1): 156-171
[32]	高艳妮,于贵瑞,张黎,等. 中国陆地生态系统净初级生产力变化特征——基于过程模型和遥感模型的评估结果[J]. 地理科学进展,2012,31(1): 109-117
[33]	顾娟, 李新, 黄春林,等. 2002-2010 年中国陆域植被净初级生产力模拟[J]. 兰州大学学报: 自然科学版, 2013, 49(2): 203-213
[34]	陈利军,刘高焕,励惠国. 中国植被净第一性生产力遥感动态监测[J]. 遥感学报,2002,6(2):129-135
[35]	朴世龙, 方精云, 郭庆华. 利用 CASA 模型估算我国植被净第一性生产力[J]. 植物生态学报,2001,25(5):603-608
[36]	Whittaker R H,Likens G E.Carbon in the biota[C]//Woodwell G M,Pecan E V. Carbon and the biosphere .Virginia:Springfield, 1973:281-302
[37]	刘世荣,徐德应,王兵. 气候变化对中国森林生产力的影响 Ⅰ.中国森林现实生产力的特征及地理分布格局[J]. 林业科学研究,1993,6(6):635-641

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Dynamic Change of Net Production and Mean Net Primary Productivity of China’s Forests

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

2. Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang 311400, Zhejiang, China

Received Date: 2013-12-10

Abstract: Based on data from the National Forest Inventory from 1973 to 2008, the net production and mean net primary productivity of China's forests were estimated by various forest types and climatic zones. The results showed that, over the last 40 years, the total net production and mean net primary productivity of China's forest was increasing. The total net production increased from 803.359×106 t·a-1(1973 to 1976) to 1 478.425×106 t·a-1(2004 to 2008), with an increase of 84.03%. The mean net primary productivity increased from 7.302 t·hm-2·a-1(1973 to 1976) to 9.502 t·hm-2·a-1 (2004 to 2008), with an increase of 30.13%. The subtropical mixed evergreen-deciduous broadleaved forest, Betula and Populus forest, temperate typical deciduous broadleaved forest and subtropical evergreen broadleaved forest made a greater contribution to the net production of China's forest. The tropical rainforest and monsoon forest, subtropical mixed evergreen-deciduous broadleaved forest and subtropical evergreen broadleaved forest had higher mean net primary productivity, while that of Pinus tabulaeformis forest and P. massoniana forest were lower. Among different climatic zones, the net production of forest vegetation reduced in fluctuations in the tropics, while it increased in all the other three climatic zones. From 1973 to 2008, the relations of the mean net primary productivity in different climatic zones are as follows: tropical (18.625 t·hm-2·a-1) > cold and temperate (9.610 t·hm-2·a-1) > subtropical (8.499 t·hm-2·a-1) > warm temperate (7.800 t·hm-2·a-1).

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Reference (37)

[1]	罗天祥. 中国主要森林类型生物生产力格局及其数学模型[D]. 北京:中国科学院研究生院(国家计划委员会自然资源综合考察委员会),1996
[2]	朴世龙,方精云,郭庆华. 1982-1999年我国植被净第一性生产力及其时空变化[J]. 北京大学学报:自然科学版,2001,37(4): 563-569
[3]	Dixon R K, Brown S, Houghton R A, et al. Carbon pools and flux of global forest ecosystems[J]. Science, 1994, 263(5144): 185-190
[4]	方精云,陈安平,赵淑清,等. 中国森林生物量的估算:对Fang等Science一文(Science,2001,291:2320-2322)的若干说明[J]. 植物生态学报,2002,26(2): 243-249
[5]	Brown S L, Schroeder P, Kern J S. Spatial distribution of biomass in forests of the eastern USA [J]. Forest Ecology and Management, 1999, 123(1): 81-90
[6]	Kauppi P E, Mielikinen K, Kuusela K. Biomass and carbon budget of European forests, 1971 to 1990[J]. Science,1992, 256(5053): 70-74
[7]	Field C B, Behrenfeld M J, Randerson J T, et al. Primary production of the biosphere: integrating terrestrial and oceanic components[J]. Science, 1998, 281(5374): 237-240
[8]	冯宗炜,王效科,吴刚. 中国森林生态系统的生物量和生产力[M]. 北京: 科学出版社,1999
[9]	Rosswall T. The international geosphere-biosphere programme: a study of global change (IGBP)[J]. Environmental Geology, 1992, 20(2): 77-78
[10]	IGBP. The terrestrial carbon cycle: implications for the Kyoto Protocol [J]. Science, 1998, 280(5368): 1393-1394
[11]	Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity(NPP):overview and key results[J]. Global Change Biology,1999,5(1):1215
[12]	刘磊. 基于多源数据的森林生物量与生产力估算研究[D]. 南京: 南京林业大学,2010
[13]	赵士洞,罗天祥. 区域尺度陆地生态系统生物生产力研究方法[J]. 资源科学,1998,20(1): 25-36
[14]	张冬有,冯仲科,李亦秋,等. 基于C-FIX模型的黑龙江省森林植被净初级生产力遥感估算[J]. 林业科学,2011,47(7):13-19
[15]	董丹,倪健. 利用CASA模型模拟西南喀斯特植被净第一性生产力[J]. 生态学报,2011,31(7): 1855-1866
[16]	高清竹,万运帆,李玉娥,等. 基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局[J]. 应用生态学报,2007,18(11): 2526-2532
[17]	王萍. 基于IBIS模型的东北森林净第一性生产力模拟[J]. 生态学报,2009,29(6):3213-3220
[18]	黄晓云,林德根,王静爱,等. 气候变化背景下中国南方喀斯特地区NPP时空变化[J]. 林业科学,2013,49(5):10-16
[19]	王斌,刘某承,张彪. 基于森林资源清查资料的森林植被净生产量及其动态变化研究[J]. 林业资源管理,2009,1(3): 35-43
[20]	Zhao M, Zhou G S. A New Methodology for Estimating NPP of Forest from Forest Inventory Data: A Case Study [J].Journal of Forestry Research, 2004, 15(2): 93-100
[21]	王玉辉,周广胜,蒋延玲,等. 基于森林资源清查资料的落叶松林生物量和净生长量估算模式[J]. 植物生态学报,2001,25(4): 420-425
[22]	李文华. 森林生物生产力的概念极其研究的基本途径[J]. 自然资源,1978(1):71-92
[23]	张宪洲. 我国自然植被净第一性生产力的估算与分布[J]. 自然资源,1993(1): 15-21
[24]	方精云,刘国华,徐嵩龄. 我国森林植被的生物量和净生产量[J]. 生态学报,1996,16(5):497-508
[25]	Zhou G S, Wang Y H, Jiang Y L, et al. Estimating biomass and net primary production from forest inventory data: a case study of China's Larix forests [J]. Forest Ecology and Management, 2002, 169(1): 149-157
[26]	Zhao M, Zhou G S. Estimation biomass and NPP of major planted forests based on forest inventory data in China [J]. Forest Ecology and Management, 2005, 207(3):295-313
[27]	Wang B, Huang J, Yang X, et al. Estimation of biomass, net primary production and net ecosystem production of China's forests based on the 1999-2003 National Forest Inventory[J]. Scandinavian Journal of Forest Research, 2010, 25(6): 544-553
[28]	汪业勖,赵士洞,牛栋. 陆地土壤碳循环的研究动态[J]. 生态学杂志,1999,18(5):29-35
[29]	吴庆标,王效科,段晓男. 中国森林生态系统植被固碳现状和潜力[J]. 生态学报,2008,28(2): 517-514
[30]	肖兴威. 中国森林生物量与生产力的研究[D]. 哈尔滨: 东北林业大学, 2005
[31]	Tomppo, E. Nilsson M. Rosengern M, et al.Simultaneous use of Landsst TM and IRS-IC WIFS data in estimating large area tree stem volume and aboveground biomass[J]. Remote Sensing of Environment, 2002,82(1): 156-171
[32]	高艳妮,于贵瑞,张黎,等. 中国陆地生态系统净初级生产力变化特征——基于过程模型和遥感模型的评估结果[J]. 地理科学进展,2012,31(1): 109-117
[33]	顾娟, 李新, 黄春林,等. 2002-2010 年中国陆域植被净初级生产力模拟[J]. 兰州大学学报: 自然科学版, 2013, 49(2): 203-213
[34]	陈利军,刘高焕,励惠国. 中国植被净第一性生产力遥感动态监测[J]. 遥感学报,2002,6(2):129-135
[35]	朴世龙, 方精云, 郭庆华. 利用 CASA 模型估算我国植被净第一性生产力[J]. 植物生态学报,2001,25(5):603-608
[36]	Whittaker R H,Likens G E.Carbon in the biota[C]//Woodwell G M,Pecan E V. Carbon and the biosphere .Virginia:Springfield, 1973:281-302
[37]	刘世荣,徐德应,王兵. 气候变化对中国森林生产力的影响 Ⅰ.中国森林现实生产力的特征及地理分布格局[J]. 林业科学研究,1993,6(6):635-641

Dynamic Change of Net Production and Mean Net Primary Productivity of China’s Forests

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通讯作者: 陈斌, bchen63@163.com

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Dynamic Change of Net Production and Mean Net Primary Productivity of China’s Forests

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