基于CMIP5模型结果的中国陆地生态系统未来碳利用效率变化趋势分析

doi:10.7523/j.issn.2095-6134.2017.04.007

中国科学院大学学报 ›› 2017, Vol. 34 ›› Issue (4): 452-461.DOI: 10.7523/j.issn.2095-6134.2017.04.007

• “全球变化生态学”专栏 • 上一篇下一篇

基于CMIP5模型结果的中国陆地生态系统未来碳利用效率变化趋势分析

袁旻舒¹, 李明旭¹, 程红岩², 丁菊花¹, 李函微¹, 彭长辉¹, 朱求安¹

1. 西北农林科技大学林学院生态预测与全球变化研究中心, 陕西杨凌 712100;
2. 西北农林科技大学资源环境学院, 陕西杨凌 712100

收稿日期:2016-06-22 修回日期:2017-02-20 发布日期:2017-07-15
通讯作者: 朱求安,E-mail:zhuqa@nwsuaf.edu.cn
基金资助:
国家自然科学基金（41571081）和国家重点研发计划（2016YFC0501804）资助

Future trends in carbon use efficiency for Chinese terrestrial ecosystem based on CMIP5 model results

YUAN Minshu¹, LI Mingxu¹, CHENG Hongyan², DING Juhua¹, LI Hanwei¹, PENG Changhui¹, ZHU Qiuan¹

1. Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling 712100;
2. College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi, China

Received:2016-06-22 Revised:2017-02-20 Published:2017-07-15

摘要/Abstract

摘要： 为研究气候变化条件下中国陆地生态系统未来碳利用效率（CUE）变化趋势及其响应，选取第5次耦合模式比较计划12种模型，分析在RCP2.6、RCP4.5和RCP8.5这3种典型排放情景下，2006—2100年中国陆地生态系统总体的CUE变化趋势及其与温度和降水的关系。研究发现，不同模型模拟的中国陆地生态系统总体的CUE变化范围在0.332~0.617，在此期间所有模型模拟结果的平均值保持在0.5左右，其幅度变化较小，随时间呈现略微降低的趋势，并随着辐射强迫水平的增加（从RCP2.6到RCP4.5再到RCP8.5），降低趋势有所加强。未来气候变化背景下，中国陆地生态系统总体的CUE与降水基本呈正相关关系，而与温度基本呈负相关关系。

关键词: 碳利用效率, 气候变化, 中国陆地生态系统

Abstract: The datasets of gross primary production, net primary production, mean annual precipitation, and mean annual temperate were collected from the results of 12 models in Phase 5 of Coupled Model Intercomparison Project to investigate the temporal patterns of carbon use efficiency (CUE) for Chinese terrestrial ecosystem and the relationship between CUE and climate factors under different emission scenarios (RCP2.6, RCP4.5, and RCP8.5) from 2006 to 2100. Our results showed that the CUE from the different models for Chinese terrestrial ecosystem ranged from 0.332 to 0.617 with a mean level of 0.5 under the three scenarios. Slight decreasing trends were detected for CUE and these trends were enhanced by increasing radiation force. Future CUE of Chinese terrestrial ecosystem mostly had positive correlation with precipitation while negative correlation with temperature.

Key words: carbon use efficiency, climate change, Chinese terrestrial ecosystem

中图分类号:

Q148

袁旻舒, 李明旭, 程红岩, 丁菊花, 李函微, 彭长辉, 朱求安. 基于CMIP5模型结果的中国陆地生态系统未来碳利用效率变化趋势分析[J]. 中国科学院大学学报, 2017, 34(4): 452-461.

YUAN Minshu, LI Mingxu, CHENG Hongyan, DING Juhua, LI Hanwei, PENG Changhui, ZHU Qiuan. Future trends in carbon use efficiency for Chinese terrestrial ecosystem based on CMIP5 model results[J]. , 2017, 34(4): 452-461.

参考文献

[1] Chapin F S, Matson P A, Mooney H A, et al. Principles of terrestrial ecosystem ecology[M]. New York: Springer-Verlag Inc, 2002.
[2] 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(D24): 28 871-28 883.
[3] Allison S D, Wallenstein M D, Bradford M A. Soil-carbon response to warming dependent on microbial physiology[J]. Nature Geoscience,2010, 3(5):336-340.
[4] Amthor J S. The McCree-de Wit-Penning de Vries-Thornley respiration paradigms: 30 years later[J]. Annals of Botany, 2000, 86(1): 1-20.
[5] Lersel M W V. Carbon use efficiency depends on growth respiration, maintenance respiration, and relative growth rate: a case study with lettuce[J]. Plant Cell and Environment, 2003,26(9): 1 441-1 449.
[6] Campioli M, Gielen B, Gockede M, et al. Temporal variability of the NPP-GPP ratio at seasonal and interannual time scales in a temperate beech forest[J]. Biogeoscience, 2011, 8(9): 2 481-2 492.
[7] Dewar R C, Medlyn B E, Mcmurtrie R E. A mechanistic analysis of lightandcarbon use efficiencies[J]. Plant Cell and Environment, 1998, 21(6): 573-588.
[8] Curtis P S, Vogel C S, Gough C M, et al. Respiratory carbon losses and the carbon-use efficiency of a northern hardwood forest, 1999-2003[J]. New Phytologist, 2005, 167(2): 437-456.
[9] Kwona Y, Larsen C P S. Effects of forest type and environmental factors on forest carbon use efficiency assessed using MODIS and FIA data across the eastern USA[J]. International Journal of Remote Sensing, 2013, 34(23): 8 425-8 448.
[10] Tan Z, Zhang Y, Yu G, et al. Carbon balance of a primary tropical seasonal rain forest[J]. Journal of Geophysical Research: Atmosphere, 2010, 115(13): 411-454.
[11] 陈光水, 杨玉盛, 高人, 等. 杉木林年龄序列地下碳分配变化[J]. 植物生态学报, 2008, 32(6): 1 285-1 293.
[12] Waring R H, Landsberg J J, Williams M. Net primary production of forests: a constant fraction of gross primary production?[J]. Tree Physiology, 1998, 18(2): 129-134.
[13] Gifford R M. The global carbon cycle: a viewpoint on the missing sink[J]. Australian Journal of Plant Physiology, 1994, 21(1): 1-15.
[14] Levy P E, Cannell M G R, Friend A D. Modelling the impact of future changes in climate, CO₂ concentration and land use on natural ecosystems and the terrestrial carbon sink[J]. Global Environmental Change, 2004, 14(1): 21-30.
[15] Potter C S, Randerson J T, Field C B, et al. Terrestrial Ecosystem Production: a process model based on global satellite and surface data[J]. Global Biogeo-chemical Cycles, 1993, 7(4): 811-841.
[16] Zhang Y J, Yu G R, Yang J, et al. Climate-driven global changes in carbon use efficiency[J]. Global Ecology and Biogeography, 2014,23(2): 144-155.
[17] 朱万泽. 森林碳利用效率研究进展[J]. 植物生态学报, 2013, 37(11): 1 043-1 058.
[18] 郭彦, 董文杰, 任福民, 等. CMIP5模式对中国年平均气温模拟及其与CMIP3模式的比较[J]. 气候变化研究进展, 2013, 9(3): 181-186.
[19] Moss R H, Edmonds J A, Hibbard K A, et al. The next generation of scenarios for climate change research and assessment[J]. Nature, 2010, 463(7 282): 747-756.
[20] 王绍武, 赵宗慈, 罗勇, 等. 新一代温室气体排放情景[J]. 气候变化研究进展, 2012, 8(4): 305-307.
[21] 喻彦, 徐建华, 周双喜, 等. 近50年西双版纳最高最低气温对气候变化的响应[J]. 气象科技, 2003, 41(2)：334-338.
[22] Delucia E H, Drake J E, Thomas R B, et al. Forest carbon use efficiency: is respiration a constant fraction of gross primaryproduction? [J]. GlobalChange Biology, 2007, 13(6): 1 157-1 167.
[23] Gifford R M. plant respiration in productivity models: conceptualisation, representation and issue for globalterrestrial carbon-cycle research[J]. Functional Plant Biology, 2003,30(2): 171-186.
[24] Havelka U D, Ackerson R C, Boyle M G, et al. CO₂-enrichment effects on soybean physiology. I. Effects of long-term CO₂exposure[J]. Crop Science,1984, 24(6): 1 146-1 150.
[25] 张其德, 卢从明, 匡廷云. 大气CO₂浓度升高对光合作用的影响[J]. 植物学通报, 1992, 9(4): 18-23.
[26] 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.
[27] Metcalfe D B, Meir P, Aragao L E O C, et al. Shifts in plant respiration and carbon use efficiency at a large-scale drought experiment in the eastern Amazon[J]. New Phytologist, 2010, 187(3): 608-621.
[28] 吴建国. 降雨量和温度变化对麻花艽叶片光合作用及相关生理参数的影响[J]. 中国草地学报, 2010, 32(5)：73-79.
[29] Zhang Y J, 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.
[30] Smith W K, Hinckley T M. Resource physiology of conifers[M]. New York: Academic Press，1995.
[31] Choudhury B J. Carbon use efficiency, and net primary productivity of terrestrial vegetation[J]. Advances in Space Research, 2000, 26(7): 1 105-1 108.

基于CMIP5模型结果的中国陆地生态系统未来碳利用效率变化趋势分析

Future trends in carbon use efficiency for Chinese terrestrial ecosystem based on CMIP5 model results

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

访问统计

联系我们

[1]	陆小琳, 张万昌, 牛全福, 刘金平, 陈豪, 高会然. 黑龙江流域积雪的时空动态变化及其与气候因子的关系[J]. 中国科学院大学学报, 2021, 38(5): 601-610.
[2]	宁文晓, 刘旭阳, 王振亭. 巴丹吉林沙漠气温和降水特征及空间分层异质性[J]. 中国科学院大学学报, 2021, 38(1): 103-113.
[3]	赵鹏, 陈桃, 王茜, 于瑞德. 气候变化和人类活动对新疆草地生态系统NPP影响的定量分析[J]. 中国科学院大学学报, 2020, 37(1): 51-62.
[4]	李舒婷, 周艺, 王世新, 尚明, 杨宝林. 2001—2015年内蒙古NDVI时空变化及其对降水和气温的响应[J]. 中国科学院大学学报, 2019, 36(1): 48-55.