Temporalspatial variations of carbon sink/source in Northeast China from 2000 to 2010

ZHANG Lu; WANG Jing; SHI Run-he

doi:10.3969/j.issn.1000-5641.2015.04.017

Issue 4

Sep. 2015

Turn off MathJax

Article Contents

Article Navigation > Journal of East China Normal University (Natural Sciences) > 2015 > (4): 164

ZHANG Lu, WANG Jing, SHI Run-he. Temporalspatial variations of carbon sink/source in Northeast China from 2000 to 2010[J]. Journal of East China Normal University (Natural Sciences), 2015, (4): 164. doi: 10.3969/j.issn.1000-5641.2015.04.017

Citation:

ZHANG Lu, WANG Jing, SHI Run-he. Temporalspatial variations of carbon sink/source in Northeast China from 2000 to 2010[J]. Journal of East China Normal University (Natural Sciences), 2015, (4): 164. doi: 10.3969/j.issn.1000-5641.2015.04.017

Citation:

PDF( 3938 KB)

Temporalspatial variations of carbon sink/source in Northeast China from 2000 to 2010

doi: 10.3969/j.issn.1000-5641.2015.04.017

ZHANG Lu^1,2,
WANG Jing^1,2,
SHI Run-he^{1,3
,
,}

Received Date: 2014-08-01
Publish Date: 2015-07-25

Abstract

Abstract

Net Ecosystem Productivity (NEP) is an important parameter when estimating regional carbon source/sink. Based on EOS/MODIS data and meteorological data, NEP was calculated in Heilongjiang, Jilin and Liaoning from 2000 to 2010. The temporal characteristics of NEP were analyzed, the results showed that during 2000 to 2010 most areas in three provinces of Northeast China were carbon sinks, NEP was between 0~300 g Cm-2a-1, carbon sources were in Northwestern Jinlin and Southwestern Heilongjiang; the mean NEP of forest(176.74 g Cm-2a-1) was the highest, followed by shrub(175.02 g Cm-2a-1), the carbon sequestration ability of farmland, wetland and grass decreased successively. In nearly 66.36% of the territory of the study area, NEP tended to decline, which meaned their carbon sequestration were weaker. Area with increased carbon sequestration were in Southeastern Changbai Mountain in Liaoning province and hills in western Liaoning, where the increasing slope was between 5~15. The correlation coefficient between NEP and precipitation was significant; NEP was sensitive to the extreme value of the temperature and precipitation, the trend of NEP was consistent with the fluctuation of precipitation. This paper conducted regional simulation of carbon sink/source, providing theoretical basis and methodological references for the usage of remote sensing data in the related study areas.
- NEPNortheast ChinaMODIS,

FullText(HTML)

References(1)

References

[1]

［1］TETT S F B, STOTT P A, ALLEN M R, et al. Causes of twentiethcentury temperature change near the Earth’s surface［J］.Nature,1999,399(6736): 569572.

［2］CROWLEY T J. Causes of climate change over the past 1000 years［J］.Science,2000,289(5477): 270277.

［3］CANNELL M G R, MILNE R, HAIGREAVES K J, et al. National inventories of terrestrial carbon sources and sinks: the UK experience ［J］. Climate Change,1999,42(3):505530.

［4］CANADELL J G, MOONEY H A, BALDOCCHI D D, et al. Commentary: Carbon metabolism of the terrestrial biosphere: A multitechnique approach for improved understanding［J］. Ecosystems, 2000,3(2): 115130. 

［5］SCHIMEL D S, HOUSE J I, HIBBARD K A, et al. Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems［J］.Nature,2001,414(6860):169172.

［6］赵俊芳, 延晓冬, 贾根锁. 东北森林净第一性生产力与碳收支对气候变化的响应［J］. 生态学报, 2008, 28(1): 92102.

［7］WANG S Q，ZHOU C H，LIU J Y，et al． Stimulation analyses of terrestrial carbon cycle balance model in Northeast China［J］. Acta Geographica Sinica，2001，56(4): 390400．

［8］朱锋，刘志明，王宗明，等．东北地区农田净初级生产力时空特征及其影响因素分析［J］. 资源科学，2010，32(11): 20792084.

［9］刘曦，国庆喜，刘经伟．东北东部森林土壤呼吸空间分布格局的模拟［J］. 东北林业大学学报． 2010，28(12): 5864.

［10］国志兴, 王宗明, 张柏, 等. 2000年~2006年东北地区植被NPP的时空特征及影响因素分析［J］. 资源科学, 2008, 30(8):12261235.

［11］赵国帅, 王军邦, 范文义, 等. 20002008年中国东北地区植被净初级生产力的模拟及季节变化［J］. 应用生态学报, 2011, 22(3): 621630.

［12］毛德华，王宗明，韩佶兴，等. 1982～2010年中国东北地区植被NPP时空格局及驱动因子分析［J］. 地理科学, 2012, 32(9): 11061111.

［13］夏学齐，杨忠芳，余涛等. 中国东北地区20世纪末土地利用变化的土壤碳源汇效应［J］. 地学前缘, 2011, 18(6): 5663.

［14］王军邦. 中国陆地净生态系统生产力遥感模型研究［D］.杭州:浙江大学,2004.

［15］李洁,张远东,顾峰雪,等.中国东北地区近50 年净生态系统生产力的时空动态［J］. 生态学报,2014,34(6):14901502.

［16］居煇, 熊伟, 许吟隆, 等. 气候变化对中国东北地区生态与环境的影响［J］. 中国农学通报, 2007, 23(4): 345349.

［17］RUNNING S W, NEMANI R R, HEINSCH F A, et al. A continuous satellitederived measure of global terrestrial primary production［J］. Bioscience, 2004, 54(6): 547560.

［18］ZHAO M, HEINSCH F A, NEMANI R R, et al. Improvements of the MODIS terrestrial gross and net primary production global data set ［J］. Remote Sensing of Environment, 2005, 95: 164176.

［19］TURNER D P, RITTS W D, COHEN W B, et al. Evaluation of MODIS NPP and GPP products across multiple biomes ［J］. Remote Sensing of Environment, 2006, 102: 282292.

［20］王琳，景元书，李琨. 江苏省植被NPP时空特征及气候因素的影响［J］. 生态环境学报，2010，19(11)： 25292533.

［21］李登科, 范建忠, 王娟. 基于MOD17A3 的陕西省植被NPP 变化特征［J］. 生态学杂志, 2011, 30 (12) : 27762782.

［22］谢宝妮，秦占飞，王洋,等. 黄土高原植被净初级生产力时空变化及其影响因素［J］. 农业工程学报，2014,30(11):244253.

［23］RAICH J W, RASTETTER E B, MELILLO J M, et al. Potential net primary production in South America: Application of a global model［J］. Ecological Application, 1991(1): 3994291.

［24］CAO M K, TAO B, LI K R, et al. Interannual variation in terrestrial ecosystem carbon fluxes in China from 1981 to 1998［J］. Acta Botan Sin, 2003, 45(5): 552560.

［25］LUYSSAERT S, SCHULZE E D, BRNER A, et al. Oldgrowth forests as global carbon sinks［J］. Nature, 2008, 455(7210): 213215.

［26］JANISCH J E, HARMON M E. Successional changes in live and dead wood carbon stores: implications for net ecosystem productivity［J］. Tree Physiology, 2002, 22(23): 7789.

［27］ARNETH A, KELLIHER F M, MCSEVENY T M, et al. Net ecosystem productivity, net primary productivity and ecosystem carbon sequestration in a Pinus radiata plantation subject to soil water deficit［J］. Tree Physiology, 1998, 18(12): 785793.

［28］裴志永, 周才平, 欧阳华, 等. 青藏高原高寒草原区域碳估测［J］. 地理研究, 2010, 29(1): 102110.

［29］方精云, 郭兆迪, 朴世龙, 等. 1981~2000年中国陆地植被碳汇的估算［J］. 中国科学:D辑, 2007,37(6): 804812．

［30］汤洁, 姜毅, 李昭阳, 等. 基于CASA模型的吉林西部植被净初级生产力及植被碳汇量估测［J］. 干旱区资源与环境, 2013, 27(4): 17.

［31］宋怡, 马明国. 基于SPOT VEGETATION 数据的中国西北植被覆盖变化分析［J］. 中国沙漠, 2007, 27(1): 8993.

［32］罗新正, 朱坦, 孙广友. 松嫩平原湿地生态环境退化机制探讨［J］. 干旱区资源与环境, 2002, 16(4): 3943.

［33］陈洪滨, 范学花. 2010 年极端天气和气候事件及其他相关事件的概要回顾［J］.气候与环境研究, 2012,16(6):789804.

［34］孙军,代刊, 樊利强. 2010 年 7—8 月东北地区强降雨过程分析和预报技术探讨［J］.气象, 2011, 37(7): 785794.

［35］陶波, 李克让, 邵雪梅, 等. 中国陆地净初级生产力时空特征模拟［J］. 地理学报, 2003, 58(3): 372380.

Relative Articles

Supplements(0)

Cited By

Proportional views