Relationship between primary productivity and temperature in broadleaved <i>Pinus koraiensis</i> mixed forest in Changbai Mountains of northeastern China

Shi Xuxia; Hou Jihua; Wang Bingxue; Wang Anzhi; Wu Jiabing; Zhang Leiming; Su Wen; Niu Shuli

doi:10.13332/j.1000-1522.20180275

Journal of Beijing Forestry University > 2018 > 40(11): 49-57. > DOI: 10.13332/j.1000-1522.20180275

Shi Xuxia, Hou Jihua, Wang Bingxue, Wang Anzhi, Wu Jiabing, Zhang Leiming, Su Wen, Niu Shuli. Relationship between primary productivity and temperature in broadleaved Pinus koraiensis mixed forest in Changbai Mountains of northeastern China[J]. Journal of Beijing Forestry University, 2018, 40(11): 49-57. DOI: 10.13332/j.1000-1522.20180275

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Relationship between primary productivity and temperature in broadleaved Pinus koraiensis mixed forest in Changbai Mountains of northeastern China

1.
College of Forestry, Beijing Forestry University, Beijing 100083, China
2.
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3.
Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China

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Received Date: September 12, 2018
Revised Date: November 04, 2018
Published Date: October 31, 2018

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Abstract

Abstract

ObjectiveStudying the temperature sensitivity of ecosystem carbon cycle in the climate change scenario is one of the major subjects of global change ecology, which demands the incorporation of temperature acclimation of ecosystem productivity. Exploring the response of productivity to ambient temperature in the broadleaved Korean pine forest, a typical temperate forest ecosystem and an important carbon sink, is helpful for better understanding the fundamental processes of ecosystems in a changing environment, which will promote the accuracy of carbon cycle simulation of forest vegetation in China.
MethodIn this study, we investigated the temperature response of gross primary productivity, net ecosystem productivity and ecosystem respiration using flux data of a Korean pine forest in northeastern China from 2003 to 2011, and further explored the influence of environmental factors on the above three carbon processes.
ResultThe results suggested that both the temperature responses of gross primary productivity and net ecosystem productivity were one-peaked curves with their optimum temperatures (t_GPP and t_NEP) positively correlated with the maximum temperature in a year. For 1 ℃ increase in the maximum temperature, t_GPP and t_NEP increased by 0.41 ℃ and 0.66 ℃ in the interannual scale, respectively. Environmental factors such as annual precipitation, photosynthetically active radiation, and vapor pressure deficit had no significant effect on t_GPP and t_NEP, while summer precipitation might have the ability to mediate the effects of t_GPP caused by the rising temperature.
ConclusionTherefore, there was a thermal acclimation of photosynthesis at the ecosystem-level. Previous models might exaggerate the impact of climate change on carbon fluxes if ignoring the influence of photosynthesis thermal acclimation.
- optimum temperature,
- broadleaved Korean pine forest,
- carbon cycle,
- temperature sensitivity,
- climate factor

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[1]	Arkin P A, Smith T M, Sapiano M R P, et al. The observed sensitivity of the global hydrological cycle to changes in surface temperature[J]. Environmental Research Letters, 2010, 5(3): 533-534. doi: 10.1088/1748-9326/5/3/035201
[2]	Cox P M, Betts R, Jones C D, et al. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model[J]. Nature, 2000, 408: 184-187. doi: 10.1038/35041539
[3]	Pan Y D, Birdsey R A, Fang J Y, et al. A large and persistent carbon sink in the world's forests[J]. Science, 2011, 333: 988. doi: 10.1126/science.1201609
[4]	刘国华, 傅伯杰.全球气候变化对森林生态系统的影响[J].自然资源学报, 2001, 1(1):71-78. doi: 10.3321/j.issn:1000-3037.2001.01.013 Liu G H, Fu B J. Effects of global climate change on forest ecosystems[J]. Journal of Natural Resources, 2001, 1(1):71-78. doi: 10.3321/j.issn:1000-3037.2001.01.013
[5]	Maselli F, Papale D, Puletti N, et al. Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems[J]. Remote Sensing of Environment, 2009, 113(3): 657-667. doi: 10.1016/j.rse.2008.11.008
[6]	Beer C, Reichstein M, Tomelleri E, et al. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate[J]. Science, 2010, 329: 834-838. doi: 10.1126/science.1184984
[7]	Piao S L, Wang X H, Ciais P, et al. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J]. Global Change Biology, 2011, 17(10): 3228-3239. doi: 10.1111/gcb.2011.17.issue-10
[8]	Musavi T, Migliavacca M, Reichstein M, et al. Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity[J]. Nature Ecology & Evolution, 2017, 1(2): 48. https://www.nature.com/articles/s41559-016-0048
[9]	常顺利, 杨洪晓, 葛剑平. 净生态系统生产力研究进展与问题[J]. 北京师范大学学报(自然科学版), 2005, 41(5): 517-521. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjsfdxxb200505021 Chang S L, Yang H X, Ge J P. Chang, S. Advance and questions in net ecosystem production[J]. Journal of Beijing Normal University (Natural Science), 2005, 41(5): 517-521. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjsfdxxb200505021
[10]	Ryan M G. Effects of climate change on plant respiration[J]. Ecological Applications, 1991, 1(2): 157-167. doi: 10.2307/1941808
[11]	Weston D J, Bauerle W L. Inhibition and acclimation of C (3) photosynthesis to moderate heat: a perspective from thermally contrasting genotypes of Acer rubrum (red maple)[J]. Tree Physiology. 2007, 27(8): 1083-1092. doi: 10.1093/treephys/27.8.1083
[12]	Feller U, Craftsbrandner S J, Salvucci M E. Moderately high temperatures inhibit ribulose-1, 5-bisphosphate carboxylase/oxygenase (rubisco) activase-mediated activation of rubisco[J]. Plant Physiology, 1998, 116(2): 539-546. doi: 10.1104/pp.116.2.539
[13]	Salvucci M E, Craftsbrandner S J. Relationship between the heat tolerance of photosynthesis and the thermal stability of rubisco activase in plants from contrasting thermal environments[J]. Plant Physiology, 2004, 134(4): 1460-1470. doi: 10.1104/pp.103.038323
[14]	Scafaro A P, Xiang S, Long B M, et al. Strong thermal acclimation of photosynthesis in tropical and temperate wet-forest tree species: the importance of altered rubisco content[J]. Global Change Biology, 2016, 23(7): 2783-2800. doi: 10.1111/gcb.13566
[15]	Niu S L, Luo Y Q, Fei S F, et al. Seasonal hysteresis of net ecosystem exchange in response to temperature change: patterns and causes[J]. Global Change Biology, 2011, 17(10): 3102-3114. doi: 10.1111/gcb.2011.17.issue-10
[16]	Hüve K, Bichele I, Rasulov B, et al. When it is too hot for photosynthesis: heat-induced instability of photosynthesis in relation to respiratory burst, cell permeability changes and H₂O₂ formation[J]. Plant Cell & Environment, 2011, 34(1): 113-126.
[17]	O'Sullivan O S, Weerasinghe K W, Evans J R, et al. High-resolution temperature responses of leaf respiration in snow gum (Eucalyptus pauciflora) reveal high-temperature limits to respiratory function[J]. Plant Cell & Environment, 2013, 36(7): 1268-1284. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=4ef4b8021fc1e94322e463098c57ba79
[18]	Yamori W, Hikosaka K, Way D A. Temperature response of photosynthesis in C3, C4, and CAM plants: temperature acclimation and temperature adaptation[J]. Photosynthesis Research, 2014, 119(1-2): 101-117. doi: 10.1007/s11120-013-9874-6
[19]	Niu S L, Li Z X, Xia J Y, et al. Climatic warming changes plant photosynthesis and its temperature dependence in a temperate steppe of northern China[J]. Environmental & Experimental Botany, 2008, 63(1): 91-101. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=0dbae3afdb0ddda7fa99903b0e45bbe2
[20]	Kattge J, Knorr W. Temperature acclimation in a biochemical model of photosynthesis: a reanalysis of data from 36 species[J]. Plant Cell & Environment, 2010, 30(9): 1176-1190. https://www.ncbi.nlm.nih.gov/pubmed/17661754/
[21]	Gunderson C A, O'Hara K H, Campion C M, et al. Thermal plasticity of photosynthesis: the role of acclimation in forest responses to a warming climate[J]. Global Change Biology, 2010, 16(8): 2272-2286.
[22]	Sage R F, Kubien D S. The temperature response of C3 and C4 photosynthesis[J]. Plant Cell & Environment, 2007, 30(9): 1086-1106. http://d.old.wanfangdata.com.cn/OAPaper/oai_pubmedcentral.nih.gov_1056702
[23]	Falge E, Tenhunen J, Baldocchi D, et al. Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements[J]. Agricultural & Forest Meteorology, 2002, 113(1): 75-95. https://www.sciencedirect.com/science/article/pii/S016819230200103X
[24]	Yuan W P, Luo Y Q, Liang S, et al. Thermal adaptation of net ecosystem exchange[J]. Biogeosciences Discussions, 2011, 8(6): 1109-1136. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=Doaj000000642153
[25]	Niu S L, Luo Y Q, Fei S F, et al. Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms[J]. New Phytologist, 2012, 194(3): 775-783. doi: 10.1111/j.1469-8137.2012.04095.x
[26]	王叶, 延晓冬.全球气候变化对中国森林生态系统的影响[J].大气科学, 2006, 30(5): 1009-1018. doi: 10.3878/j.issn.1006-9895.2006.05.27 Wang Y, Yan X D. The response of the forest ecosystem in China to global climate change[J]. Chinese Journal of Atmospheric Sciences, 2006, 30(5):1009-1018. doi: 10.3878/j.issn.1006-9895.2006.05.27
[27]	程肖侠, 延晓冬.气候变化对中国东北主要森林类型的影响[J].生态学报, 2008, 28(2): 534-543. doi: 10.3321/j.issn:1000-0933.2008.02.011 Cheng X X, Yan X D. Effects of climate change on typical forest in the northeast of China[J]. Acta Ecologica Sinica, 2008, 28(2): 534-543. doi: 10.3321/j.issn:1000-0933.2008.02.011
[28]	Guan D X, Wu J B, Zhao X S, et al. Annual CO2 flux over old temperate mixed forest in north-eastern China[J]. Agricultural & Forest Meteorology, 2006, 137(3): 138-149. https://www.sciencedirect.com/science/article/pii/S0168192306000578
[29]	Yu G R, Zhang L M, Sun X M, et al. Environmental controls over carbon exchange of three forest ecosystems in eastern China[J]. Global Change Biology, 2010, 14(11): 2555-2571. doi: 10.1111/j.1365-2486.2008.01663.x
[30]	Zhang J H, Yu G R, Han S J, et al. Seasonal and annual variation of CO₂, flux above a broad-leaved Korean pine mixed forest[J]. Science in China Series D: Earth Sciences, 2006, 49(Suppl.2):63-73. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e045e68ad78e0943f0bda4da37a346eb
[31]	Baldocchi D. Measuring fluxes of trace gases and energy between ecosystems and the atmosphere-the state and future of the eddy covariance method[J]. Global Change Biology, 2015, 20(12): 3600-3609. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=b5912c407e2bb3470bacdb644a99b67c
[32]	Papale D, Reichstein M, Aubinet M, et al. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation[J]. Biogeosciences, 2006, 3(4): 571-583. doi: 10.5194/bg-3-571-2006
[33]	Chu H S, Baldocchi D D, John R, et al. Fluxes all of the time: a primer on the temporal representativeness of FLUXNET[J]. Journal of Geophysical Research Biogeosciences, 2017, 122(2): 289-307. doi: 10.1002/jgrg.v122.2
[34]	于贵瑞, 张雷明, 孙晓敏.中国陆地生态系统通量观测研究网络(ChinaFLUX)的主要进展及发展展望[J].地理科学进展, 2014, 33(7): 903-917. http://d.old.wanfangdata.com.cn/Periodical/dlkxjz201407005 Yu G R, Zhang L M, Sun X M. Progresses and prospects of Chinese terrestrial ecosystem flux observation and research network (ChinaFLUX)[J]. Progress in Geography, 2014, 33(7): 903-917. http://d.old.wanfangdata.com.cn/Periodical/dlkxjz201407005
[35]	郝占庆, 于德永, 杨晓明, 等.长白山北坡植物群落α多样性及其随海拔梯度的变化[J].应用生态学报, 2002, 13(7): 785-789. doi: 10.3321/j.issn:1001-9332.2002.07.005 Hao Z Q, Yu D Y, Yang X M, et al. α diversity of communities and their variety along altitude gradient on northern slope of Changbai Mountain[J]. Chinese Journal of Applied Ecology, 2002, 13(7):785-789. doi: 10.3321/j.issn:1001-9332.2002.07.005
[36]	张雷明, 曹沛雨, 朱亚平, 等.长白山阔叶红松林生态系统光能利用率的动态变化及其主控因子[J].植物生态学报, 2015, 39(12):1156-1165. doi: 10.17521/cjpe.2015.0112 Zhang L M, Cao P Y, Zhu Y P, et al. Dynamics and regulations of ecosystem light use efficiency in a broad-leaved Korean pine mixed forest, Changbai Mountain[J]. Chinese Journal of Plant Ecology, 2015, 39(12): 1156-1165. doi: 10.17521/cjpe.2015.0112
[37]	朱先进, 于贵瑞, 王秋凤, 等.仪器的加热效应校正对生态系统碳水通量估算的影响[J].生态学杂志, 2012, 31(2):487-493. http://d.old.wanfangdata.com.cn/Periodical/stxzz201202037 Zhu X J, Yu G R, Wang Q F, et al. Instrument heating correction effect on estimation of ecosystem carbon and water fluxes[J]. Chinese Journal of Ecology, 2012, 31(2):487-493. http://d.old.wanfangdata.com.cn/Periodical/stxzz201202037
[38]	Kirschbaum M U F. Modelling forest growth and carbon storage in response to increasing CO₂ and temperature[J]. Tellus, 2010, 51(5): 871-888. doi: 10.1034/j.1600-0889.1999.t01-4-00002.x
[39]	Atkin O K, Tjoelker M G. Thermal acclimation and the dynamic response of plant respiration to temperature[J]. Trends in Plant Science, 2003, 8(7): 343-351. doi: 10.1016/S1360-1385(03)00136-5
[40]	Lin Y S, Medlyn B E, Ellsworth D S. Temperature responses of leaf net photosynthesis: the role of component processes[J]. Tree Physiology, 2012, 32(2): 219-231. doi: 10.1093/treephys/tpr141
[41]	Valentini R, Matteucci G, Dolman A J, et al. Respiration as the main determinant of carbon balance in European forests[J]. Nature, 2000, 404: 861. doi: 10.1038/35009084
[42]	Jarvi M P, Burton A J. Adenylate control contributes to thermal acclimation of sugar maple fine-root respiration in experimentally warmed soil[J]. Plant Cell & Environment, 2018, 41(3): 504-516. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=a66874337ad8952d7432177a9651b6e4
[43]	Wang X C, Wang C K, Yu G R. Spatio-temporal patterns of forest carbon dioxide exchange based on global eddy covariance measurements[J]. Science in China Series D: Earch Sciences, 2008, 51(8):1129-1143. doi: 10.1007/s11430-008-0087-3
[44]	Smith N G, Dukes J S. Short-term acclimation to warmer temperatures accelerates leaf carbon exchange processes across plant types[J]. Global Change Biology, 2017, 23(11): 4840-4853. doi: 10.1111/gcb.2017.23.issue-11
[45]	Booth B B B, Jones C D, Collins M, et al. High sensitivity of future global warming to land carbon cycle processes[J]. Environmental Research Letters, 2012, 7(2): 24002. doi: 10.1088/1748-9326/7/2/024002
[46]	Churkina G, Schimel D, Braswell B H, et al. Spatial analysis of growing season length control over net ecosystem exchange[J]. Global Change Biology, 2010, 11(10): 1777-1787. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=a2deb78baeb285c3a6f31bc36ebcf52c
[47]	Baldocchi D, Falge E, Gu L, 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(82): 2415-2434. doi: 10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2
[48]	Smith N G, Malyshev S L, Shevliakova E, et al. Foliar temperature acclimation reduces simulated carbon sensitivity to climate[J]. Nature Climate Change, 2016, 6(2): 219-225. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e6822eb95fd49bc01c7da8b14bc77943
[49]	Wild M, Gilgen H, Roesch A, et al. From dimming to brightening: decadal changes in solar radiation at earth's surface[J]. Science, 2005, 308: 847-850. doi: 10.1126/science.1103215
[50]	Rambal S, Ourcival J M, Joffre R, et al. Drought controls over conductance and assimilation of a Mediterranean evergreen ecosystem: scaling from leaf to canopy[J]. Global Change Biology, 2010, 9(12): 1813-1824. doi: 10.1111/j.1365-2486.2003.00687.x
[51]	Ma S, Osuna J L, Verfaillie J, et al. Photosynthetic responses to temperature across leaf-canopy-ecosystem scales: a 15-year study in a Californian oak-grass savanna[J]. Photosynthesis Research, 2017, 132(11): 1-15. doi: 10.1007%2Fs11120-017-0388-5
[52]	Zhang L M, Yu G R, Sun X M, et al. Seasonal variation of carbon exchange of typical forest ecosystems along the eastern forest transect in China[J]. Science in China Series D: Earth Sciences, 2006, 49(Suppl.2):47-62. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=81396a44ad07b6a0582a64e3eba0082f
[53]	吴玉莲, 王襄平, 李巧燕, 等.长白山阔叶红松林净初级生产力对气候变化的响应:基于BIOME-BGC模型的分析[J].北京大学学报(自然科学版), 2014, 50(3):577-586. http://d.old.wanfangdata.com.cn/Periodical/bjdxxb201403021 Wu Y L, Wang X P, Li Q Y, et al. Response of broad-leaved Korean pine forest productivity of Mt. Changbai to climate change: an analysis based on BIOME-BGC modeling[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2014, 50(3):577-586. http://d.old.wanfangdata.com.cn/Periodical/bjdxxb201403021

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Relationship between primary productivity and temperature in broadleaved Pinus koraiensis mixed forest in Changbai Mountains of northeastern China

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