PDF Download

[1]AN Xiang,CHEN Yunming,TANG Yakun.Factors Affecting the Spatial Variation of Carbon Use Efficiency and Carbon Fluxes in East Asian Forest and Grassland[J].Research of Soil and Water Conservation,2017,24(05):79-87,92.

Copy

Factors Affecting the Spatial Variation of Carbon Use Efficiency and Carbon Fluxes in East Asian Forest and Grassland

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 05 Page number: 79-87,92 Column: Public date: 2017-10-28

Title:: Factors Affecting the Spatial Variation of Carbon Use Efficiency and Carbon Fluxes in East Asian Forest and Grassland

Author(s):: AN Xiang¹, CHEN Yunming^2,3, TANG Yakun^2,3; 1. Institute of Soil and Water Conservation, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, Shaanxi 712100, China;
3. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China

Keywords:: forest; grassland; CUE; carbon dioxide flux; eddy covariance

CLC:: S718.5;X171.1

DOI:: -

Abstract:: Forest and grassland play an essential role in the terrestrial ecosystem. The objective of this study is to analyze the spatial variation characteristics and influence factors of carbon use efficiency (CUE), gross ecosystem production (GEP), ecosystem respiration (ER), and net ecosystem production (NEP) based on more than one year data which were obtained from 40 sites (26 forest sites, 14 grassland sites) in the East Asian region from published literatures. Forest and grassland in the East Asian region both exhibit carbon sinks, while forest showed significantly higher value than grassland (p < 0.001). The average NEP in forest and grassland in the East Asian are 328.64±256.46 gC/(m²·a) and 63.43±42.99 gC/(m²·a), respectively. The average CUE in forest and grassland are 0.21 and 0.20 in this region, CUE of forest is negatively correlated with the forest age and mean annual precipitation (MAP), respectively. The results show that GEP and ER in forest grassland linearly decrease with an increase in latitude. In addition, relationship between NEP and latitude can be described by quadratic function. There is a clear linear relationship between GEP, ER with MAP in both forest and grassland. The results also show that MAP and NEP first increase and then decrease with a quadratic function relationship, NEP is the maximum when amounts precipitation are 1 300 mm and 390 mm for forest and grassland, respectively. GEP and ER in forest show a positive relationship with mean annual temperature. Moreover, GEP and RE in both forest and grassland showed a positive linear correlation with vegetation index.

References:: [1] Keeling C D, Bacastow R B, Carter A F, et al. A three dimensional model of atmospheric CO₂ transport based on observed winds: observation data and preliminary analysis: Aspects of climate variability in the Pacific and the Western Americas[J]. American Geophysical Union,1989,55:165-236.
[2] 于贵瑞,伏玉玲,孙晓敏,等.中国陆地生态系统通量观测研究网络(ChinaFLUX)的研究进展及其发展思路[J].中国科学D辑:地球科学,2006,36(SΙ):1-21.
[3] Ralph M. Global forest resources assessment(FAO). (2010). www. fao. org/forestry/en.
[4] Scurlock J M O, Hall D O. The global carbon sink: a grassland perspective[J]. Global Change Biology, 1998,4(2):229-233.
[5] Yu G R, Zhu X J, Fu Y L, et al. Spatial pattern and climate drivers of carbonfluxes in terrestrial ecosystems of China[J]. Global Change Biology, 2013,19(3):798-810.
[6] Ryan M G, Lavigne M B, Gower S T. Annual carbon cost of autotrophic respiration in boreal forest ecosystems in relation to species and climate[J]. Journal of Geophysical Research-Atmospheres, 1997,102:28871-28883.
[7] Chambers J Q, Tribuzy E S, Toledo L C, et al. Respiration from a tropical forest ecosystem: partitioning of sources and low carbon use efficiency[J]. Ecological Applications, 2004,14(sp4):72-88.
[8] DeLucia E, Drake J E, Thomas R B, et al. Forest carbon use efficiency: Is respiration a constant fraction of gross primary production[J]. Global Change Biology, 2007,13(6):1157-1167.
[9] Piao S, Luyssaert S, Ciais P, et al. Forest annual carbon cost: A global-scale analysis of autotrophic respiration[J]. Ecology, 2010,91(3):652-661.
[10] Zhang Y, Xu M, Chen H, et al. Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate[J]. Global Ecology and Biogeography, 2009,18(3):280-290.
[11] 朱万泽.森林碳利用效率研究进展[J].植物生态学报,2013,37(11):1043-1058.
[12] Baldocchi D, Falge E, Gu L H, et al. Fluxnet:a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities[J]. Bulletin of the American Meteorological Society, 2001,82(11):2415-2434.
[13] Law B E, Falge E, Gu L, et al. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation[J]. Agricultural and Forest Meteorology, 2002,113(1):97-120.
[14] Hirata R, Saigusa N, Yamamoto S, et al. Spatial distribution of carbon balance in forest ecosystems across East Asia[J]. Agricultural and Forest Meteorology, 2008,148(5):761-775.
[15] Chen Z, Yu G, Ge J, et al. Roles of climate, vegetation and soil in regulating the spatial variations in ecosystem carbon dioxide fluxes in the Northern Hemisphere[J]. PloS ONE, 2015, 10(4):1-14.
[16] Soussana J F, Allard V, Pilegaard K, et al. Full accounting of the greenhouse gas (CO₂, N₂O, CH₄) budget of nine European grassland sites[J]. Agriculture, Ecosystems & Environment, 2007,121(1):121-134.
[17] Kato T, Tang Y. Spatial variability and major controlling factors of CO₂ sink strength in Asian terrestrial ecosystems: Evidence from eddy covariance data[J]. Global Change Biology, 2008,14(10):2333-2348.
[18] 陈德祥.尖峰岭热带山地雨林碳交换的动态特征和影响因素研究[D].北京:中国林业科学研究院,2010.
[19] 吴志祥,谢贵水,杨川,等.海南儋州地区橡胶林碳通量特征研究[J].西北林学院学报,2015,30(1):51-59.
[20] Zhang Y P, Tan Z H, Song Q H, et al. Respiration controls the unexpected seasonal pattern of carbon flux in an Asian tropical rain forest[J]. Atmospheric Environment, 2010,44(32):3886-3893.
[21] 王春林,于贵瑞,周国逸,等.鼎湖山常绿阔叶混交林CO₂通量估算[J].中国科学D辑:地球科学,2006,36(S):119-129.
[22] 唐亚坤.中亚热带人工针叶林2003-2012年碳水通量年际变异的控制机制研究[D].北京:中国科学院大学,2014.
[23] 张利平.会同杉木人工林生态系统与大气间CO₂通量特征的研究[D].长沙:中南林业科技大学,2010.
[24] 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[J].应用生态学报,2016,27(1):1-8.
[25] 杨爽.浙江安吉毛竹林生态系统CO₂通量观测研究[D].杭州:浙江农林大学,2012.
[26] 朱志鹍,马耀明,胡泽勇,等.青藏高原那曲高寒草甸生态系统CO₂净交换及其影响因子[J].高原气象,2015,34(5):1217-1223.
[27] 蒋琰.北亚热带次生栎林碳收支的研究[D].南京:南京林业大学,2010.
[28] 耿绍波.河南西平杨树人工林生态系统碳通量及其环境相应研究[D].北京:北京林业大学,2011.
[29] 吴力博,古松,赵亮,等.三江源地区人工草地的生态系统CO₂净交换、总初级生产力及其影响因子[J].植物生态学报,2010,34(7):770-780.
[30] Huang H, Zhang JS, Meng P, Fu YL, Zheng N, et al. Seasonal Variation and Meteorological Control of CO₂ Flux in a Hilly Plantation in the Mountain Areas of North China[J]. Acta Meteorologica Sinica, 2011,25(2):238-248.
[31] Du Q, Liu H Z, Feng J W， et al. Carbon dioxide exchange processes over the grassland ecosystems in semiarid areas of China[J]. Science China-Earth Science, 2012,42(5):711-722.
[32] 张法伟,李英年,曹广民,等.青海湖北岸高寒草甸草原生态系统CO₂通量特征及其驱动因子[J].植物生态学报,2012,36(3):187-198.
[33] Kwon H, Kim J, Hong J， et al. Influence of the Asian monsoon on net ecosystem carbon exchange in two major ecosystems in Korea[J]. Biogeosciences, 2010,7(5):1493-1504.
[34] 王海波,马明国,王旭峰,等.青藏高原东缘高寒草甸生态系统碳通量变化特征及其影响因素[J].干旱区资源与环境,2014，28(6)：50-56.
[35] 王杰,叶柏生,张世强,等.祁连山疏勒河上游高寒草甸CO₂通量变化特征[J].冰川冻土,2011，33(3)：646-653.
[36] 方显瑞.杨树人工林生态系统碳交换及其环境响应[D].北京:北京林业大学,2011.
[37] 陈智.北半球陆地生态系统碳交换通量的空间格局及其调控机制研究[D].北京:中国科学院大学,2015.
[38] 张文丽.内蒙古农牧交错区典型草地和农田生态系统碳通量的研究[D].北京:中国科学院植物研究所,2007.
[39] 张军辉,于贵瑞,韩士杰,等.长白山阔叶红松林CO₂通量季节和年际变化特征及控制机制[J].中国科学D辑:地球科学.2006,36(S):60-69.
[40] Nakai Y, Kitamura K, Suzuki S, et al. Year-long carbon dioxide exchange above a broadleaf deciduous forest in Sapporo, Northern Japan[J]. Tellus B, 2003,55(2):305-312.
[41] 刘冉,李彦,王勤学,等.盐生荒漠生态系统二氧化碳通量的年内,年际变异特征[J].中国沙漠,2011,31(1):108-114.
[42] 董刚.中国东北松嫩草甸草原碳水通量及水分利用效率研究[D].长春:东北师范大学,2011.
[43] Wang Y L, Zhou G S, Wang Y H. Environmental effects on net ecosystem CO₂ exchange athalf-hour and month scales over Stipakrylovii steppe in northern China[J]. Agricultural and Forest Meteorology, 2008,148(5):714-722.
[44] Li S G, Asanuma J, Eugster W, et al. Net ecosystem carbon dioxide exchange over grazed steppe in central Mongolia[J]. Global Change Biology，2005,11:1941-1955.
[45] 周艳丽,贾丙瑞,周广胜,等.中国北方针叶林生长季碳交换及其调控机制[J].应用生态学报,2010,21(10):2449-2456.
[46] Reichstein M, Falge E, Baldocchi D， et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration:review and improved algorithm[J]. Global Change Biology, 2005,11(9):1424-1439.
[47] Wilczark J M, Oncley S P, Stage S A. Sonic anemometer tilt correction algorithms[J]. Boundary Layer Meteorology.2001,99:127-150.
[48] Webb E K, Pearman G I, Leuning R. Correction of flux measurements for density effects due to heat and water vapour transfer[J]. Quarterly Journal of the Royal Meteorological Society, 1980,106(447):85-100.
[49] Falge E, Baldocchi D, Olson R et al. Gap filling strategies for defensible annual sums of net ecosystem exchange[J]. Agricultural and Forest Meteorology, 2001,107(1):43-69.
[50] Chen Z, Yu G R, Ge J P， et al. Temperature and precipitation control of the spatial variation of terrestrial ecosystem carbon exchange in the Asian region[J]. Agricultural and Forest Meteorology, 2013,182/183:266-276.
[51] Wang B, Li J, Jiang W W， et al. Impacts of the rangeland degradation on CO₂ flux and the underlying mechanisms in the Three-River Source Region on the Qinghai-Tibetan Plateau[J]. China Environmental Science, 2012,32(10):1764-1771.
[52] 於方,朱文泉,曹东,等.青海省因草地生态破坏造成土壤流失的经济损失核算[J].中国环境科学,2009,29(1):90-94.
[53] 王兴昌,王传宽,于贵瑞.基于全球涡度相关的森林碳交换的时空格局[J].中国科学:D辑,2008,38(9):1092-1102.
[54] Luyssaert S, Inglima I, Jung M. CO₂ balance of boreal, temperate, and tropical forests derived from a global database[J]. Global Change Biology, 2007,13(12):2509-2537.

Similar References:

Memo

Last Update: 1900-01-01