资源生态

1980—2014年中亚地区植被净初级生产力对气候和CO2变化的响应

展开
  • 1. 南京大学国际地球系统科学研究所, 南京 210093;
    2. 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室,乌鲁木齐 830011;
    3. 中国科学院大学,北京 100049;
    4. 南京信息工程大学地理与遥感学院,南京 210008
朱士华(1989- ),男,博士,研究方向为生态模型、全球变化生态学。E-mail:zshcare@ foxmail.com

收稿日期: 2016-09-14

  修回日期: 2016-11-19

  网络出版日期: 2017-11-20

基金资助

国家自然科学基金项目(U1503301,41401118); 国家重点基础研究发展(973)计划(2014CB954204)

The Responses of the Net Primary Productivity of the Dryland Ecosystems in Central Asia to the CO2 and Climate Changes during the Past 35 Years

Expand
  • 1. International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;
    2. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210008, China

Received date: 2016-09-14

  Revised date: 2016-11-19

  Online published: 2017-11-20

Supported by

National Natural Science Foundation of China, No.U1503301 and 41401118; National Basic Research Programs of China, No.2014CB954204

摘要

中亚干旱区分布着世界80%以上的温带荒漠,受气候变化影响显著。论文首先收集实验观测数据验证了干旱区生态系统模型(AEM),然后运用AEM开展数值模拟实验量化研究了1980—2014年中亚净初级生产力(NPP)的时空格局,评估了不同环境因子(降水、温度、CO2)的相对贡献率及其交互效应。结果表明:过去35 a中亚干旱区年均NPP总量为1 125±129 Tg C(1 T=1012)或218±25 g C/m2。哈萨克斯坦北部地区年NPP值较高(349±39 g C/m2),而南疆地区年NPP值较低(123±45 g C/m2)。1980—2014年间,中亚NPP总体呈减少趋势 [-0.71 g C/(m2·a)],南疆极端干旱区的NPP降低最为显著 [-2.05 g C/(m2·a)]。相较于1980—1984年NPP均值,在1985—2014年中亚区域NPP总体降低了118 Tg(-10%)。其中CO2施肥效应促进NPP增加了99.7 Tg (+8%),气温升高的正效应促进NPP增加了35.4 Tg(+2%),而降水减少导致NPP降低了221 Tg(-18%)。研究区内9%的地区的NPP主要控制因子为温度,主要分布在天山和哈萨克斯坦北部等高纬高寒地区。降水主控区面积占整个研究区的69%,主要分布在荒漠平原特别是南疆等植被受水分限制的区域。CO2主控区占研究区面积的20%,主要分布在天山中山带森林区和低海拔地区等水热条件好的区域。研究表明新疆南部地区是中亚的关键生态脆弱区,其生态安全面临着气候变化的挑战,但21世纪的升温不大可能因刺激自养呼吸而对中亚区域NPP造成显著影响。

本文引用格式

朱士华, 艳燕, 邵华, 李超凡 . 1980—2014年中亚地区植被净初级生产力对气候和CO2变化的响应[J]. 自然资源学报, 2017 , 32(11) : 1844 -1856 . DOI: 10.11849/zrzyxb.20160983

Abstract

More than 80% of world's temperate desert locates in Central Asia, dryland that experienced strong warming and significant changes in precipitation pattern in recent decades. The objectives of this study was to quantify spatio-temporal patterns of net primary productivity in Central Asia over the past 35 years, and investigate the relative contribution and interactive effect of climate controls including temperature, precipitation and CO2, using the Arid Ecosystem Model (AEM), which performed well in predicting the dryland ecosystems' responses to climate changes according to our evaluation. The results show the 35-year averaged annual NPP of Central Asia amounted to 1 125±129 Tg C/a (1 T=1012), or 218±24 g C /(m2·a), with an overall declining trend of 0.71 g C/(m2·a). The northern Kazakhstan had relatively high NPP of 349±39 g C/(m2·a), while the southern Xinjiang of China had relatively low NPP of 123±45 g C/(m2·a). During the last 35 years, the NPP of the southern Xinjiang subregion declined significantly with a trend of -2.05 g C/(m2·a). Comparing the NPP during 1985-2014 to the NPP during 1980-1984, we found the regional NPP decreased 118 Tg or 10%, with positive contribution of 35.4 Tg or +2% from temperature change, positive contribution of 99.7 Tg or +8% from CO2 change, negative contribution of 221 Tg or -18% from precipitation change. The temperature was the dominant factor on NPP in 9% of the study area, mainly in the Tianshan Mountains and northern Kazakhstan, where the temperature increased by 0.03 ℃/a during 1980-2014. Precipitation was the dominant factor on NPP in 69% of the study area, mainly in the desert subregion and the dryland of southern Xinjiang of China, where the vegetation was limited by water. CO2 was the dominant factor on NPP in 20% of the study area, mainly in the lower altitude regions of Tianshan Mountains, where the hydrothermal condition was suitable for vegetation growth. This study shows that the southern Xinjiang of China is the fragile eco-environmental subregion in Central Asia, whose ecosystem security is facing the challenges of climate change. However, increasing temperature is unlikely to stimulate autotrophic respiration and cause a significant impact on regional NPP in Central Asia.

参考文献

[1] 陈发虎, 黄伟, 靳立亚, 等. 全球变暖背景下中亚干旱区降水变化特征及其空间差异 [J]. 中国科学: 地球科学, 2011, 41(11): 1647-1657. [CHEN F H, HUANG W, JIN L Y, et al. Spatiotemporal precipitation variations in the arid Central Asia in the context of global warming. Science China Earth Sciences, 2011, 41(11): 1647-1657. ]
[2] LIOUBIMTSEVA E, COLE R, ADAMS J M, et al. Impacts of climate and land-cover changes in arid lands of Central Asia [J]. Journal of Arid Environments, 2005, 62(2): 285-308.
[3] PUIGDEFÁBREGAS J. Ecological impacts of global change on drylands and their implications for desertification [J]. Land Degradation & Development, 1998, 9(5): 393-406
[4] HU Z Y, ZHANG C, HU Q, et al. Temperature changes in Central Asia from 1979 to 2011 based on multiple datasets [J]. Journal of Climate, 2014, 27(3): 1143-1167.
[5] CHEN X, ZHANG C, LUO G P. Modeling Dryland Ecosystems' Response to Global Change in Central Asia [M]. Beijing, China: China Meteorological Press, 2014: 174.
[6] 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.
[7] 李超凡, 罗格平, 李均力, 等. 近20 a中亚净初级生产力与实际蒸散发特征分析 [J]. 干旱区地理, 2012, 35(6): 919-927. [LI C F, LUO G P, LI J L, et al. Net primary productivity and actual evapotranspiration of Central Asia in recent 20 years. Arid Land Geography, 2012, 35(6): 919-927. ]
[8] 张建财, 张丽, 郑艺, 等. 基于LPJ模型的中亚地区植被净初级生产力与蒸散模拟 [J]. 草业科学, 2015, 32(11): 1721-1729. [ZHANG J C, ZHANG L, ZHENG Y, et al. Simulation of vegetation net primary productivity and evapotranspiration based on LPJ model in Central Asia. Pratacultural Science, 2015, 32(11): 1721-1729. ]
[9] ZHANG C, LI C F, LUO G P, et al. Modeling plant structure and its impacts on carbon and water cycles of the Central Asian arid ecosystem in the context of climate change [J]. Ecological Modelling, 2013, 267(7): 158-179.
[10] ZHANG C, LI C F, CHEN X, et al. A spatial-explicit dynamic vegetation model that couples carbon, water, and nitrogen processes for arid and semi-arid ecosystems [J]. Journal of Arid Land, 2013, 5(1): 102-117.
[11] LI C F, ZHANG C, LUO G P, et al. Carbon stock and its responses to climate change in Central Asia [J]. Global Change Biology, 2015, 21(5): 1951-1967.
[12] CHEN F H, WANG J S, JIN L Y, et al. Rapid warming in mid-latitude Central Asia for the past 100 years [J]. Frontiers of Earth Science in China, 2009, 3(1): 42-50.
[13] WALKER R F, GEISINGER D R, JOHNSON D W, et al. Elevated atmospheric CO 2 and soil N fertility effects on growth, mycorrhizal colonization, and xylem water potential of juvenile ponderosa pine in a field soil [J]. Plant and Soil, 1997, 195(1): 25-36.
[14] THOMAS R B, LEWIS J D, STRAIN B R. Effects of leaf nutrient status on photosynthetic capacity in loblolly pine ( Pinus taeda L.) seedlings grown in elevated atmospheric CO 2 [J]. Tree Physiology, 1994, 14(7/9): 947-960.
[15] KAUSHAL P, GUEHL J M, AUSSENAC G. Differential growth response to atmospheric carbon dioxide enrichment in seedlings of Cedrus atlantica and Pinus nigra ssp. Laricio var. Corsicana [J]. Canadian Journal of Forest Research, 1989, 19(11): 1351-1358.
[16] 杨兵, 王进闯, 张远彬. 长期模拟增温对岷江冷杉幼苗生长与生物量分配的影响 [J]. 生态学报, 2010, 30(21): 5994-6000. [YANG B, WANG J C, ZHANG Y B. Effect of long-term warming on growth and biomass allocation of Abies faxoniana seedings. Acta Ecologica Sinica, 2010, 30(21): 5994-6000. ]
[17] BAZZAZ F A, COLEMAN J S, MORSE S R. Growth responses of seven major co-occurring tree species of the northeastern United States to elevated CO 2 [J]. Canadian Journal of Forest Research, 1990, 20(9): 1479-1484.
[18] CURTIS P S, TEERI J A. Seasonal responses of leaf gas exchange to elevated carbon dioxide in Populus grandidentata [J]. Canadian Journal of Forest Research, 1992, 22(9): 1320-1325.
[19] ZAK D, PREGITZER K, CURTIS P, et al. Elevated atmospheric CO 2 and feedback between carbon and nitrogen cycles [J]. Plant and Soil, 1993, 151(1): 105-117.
[20] 闫慧, 吴茜, 丁佳, 等. 不同降水及氮添加对浙江古田山4种树木幼苗光合生理生态特征与生物量的影响 [J]. 生态学报, 2013, 33(14): 4226-4236. [YAN H, WU Q, DING J, et al. Effects of precipitation and nitrogen addition on photosynthetically eco-physiological characteristics and biomass of four tree seedlings in Gutian Mountain, Zhejiang Province, China. Acta Ecologica Sinica, 2013, 33(14): 4226-4236. ]
[21] SMITH S D, STRAIN B R, SHARKEY T D. Effects of CO 2 enrichment on four great basin grasses [J]. Functional Ecology, 1987, 1(2): 139-143.
[22] HUNT R, HAND D W, HANNAH M A, et al. Response to CO 2 enrichment in 27 herbaceous species [J]. Functional Ecology, 1991, 5(3): 410-421.
[23] 高素华, 郭建平, 周广胜, 等. 高CO 2 条件下贝加尔针毛对土壤干旱胁迫响应的试验研究 [J]. 应用气象学报, 2003, 14(2): 252-256. [GAO S H, GUO J P, ZHOU G S, et al. Response of Stipa baicalensis to soil drought stress at high CO 2 concentration. Journal of Applied Meteorological Science, 2003, 14(2): 252-256. ]
[24] 周华坤, 周兴民, 赵新全. 模拟增温效应对矮嵩草草甸影响的初步研究 [J]. 植物生态学报, 2000, 24(5): 547-553. [ZHOU H K, ZHOU X M, ZHAO X Q. A preliminary study of the influence of simulated green house effect on a Kobresia humilis meadow. Acta Phytoecologica Sinica, 2000, 24(5): 547-553. ]
[25] 高嵩. 增温和氮素添加对松嫩草原羊草群落结构和功能的影响 [D]. 长春: 东北师范大学, 2012. [GAO S. Effect of Warming and Nitrogen Addition on Structure and Function of Leymus chinensis Community in Songnen Grassland. Changchun: Northeast Normal University, 2012. ]
[26] 李英年, 赵亮, 赵新全, 等. 5年模拟增温后矮嵩草草甸群落结构及生产量的变化 [J]. 草地学报, 2004, 12(3): 236-239. [LI Y N, ZHAO L, ZHAO X Q, et al. Effect of a 5-years mimic temperature increase to the structure and productivity of Kobresia humilis meadow. Acta Agrestia Sinica, 2004, 12(3): 236-239. ]
[27] 李娜, 王根绪, 杨燕, 等. 短期增温对青藏高原高寒草甸植物群落结构和生物量的影响 [J]. 生态学报, 2011, 31(4): 895-905. [LI N, WANG G X, YANG Y, et al. Short-term effects of temperature enhancement on community structure and biomass of alpine meadow in the Qinghai-Tibet Plateau. Acta Ecologica Sinica, 2011, 31(4): 895-905. ]
[28] 王长庭, 王启基, 沈振西, 等. 模拟降水对高寒矮嵩草草甸群落影响的初步研究 [J]. 草业学报, 2003, 12(2): 25-29. [WANG C T, WANG Q J, SHEN Z X, et al. A preliminary study of the effect of simulated precipitation on an alpine Kobresia humilism meadow. Acta Prataculturae Sinica, 2003, 12(2): 25-29. ]
[29] HOUSMAN D C, NAUMBURG E, HUXMAN T E, et al. Increases in desert shrub productivity under elevated carbon dioxide vary with water availability [J]. Ecosystems, 2006, 9(3): 374-385.
[30] POLLEY H W, TISCHLER C R, JOHNSON H B. Elevated atmospheric CO 2 magnifies intra-specific variation in seedling growth of honey mesquite: An assessment of relative growth rates [J]. Rangeland Ecology & Management, 2006, 59(2): 128-134.
[31] MAUNEY J R, LEWIN K F, HENDREY G R, et al. Growth and yield of cotton exposed to free-air CO 2 enrichment (Face) [J]. Critical Reviews in Plant Sciences, 1992, 11(2/3): 213-222.
[32] KUDO G, SUZUKI S. Warming effects on growth, production, and vegetation structure of alpine shrubs: A five-year experiment in northern Japan [J]. Ecosystem Ecology Oecologia, 2003, 135(2): 280-287
[33] 肖春旺, 张新时, 赵景柱, 等. 鄂尔多斯高原3种优势灌木幼苗对气候变暖的响应 [J]. 植物学报, 2001, 43(7): 736-741. [XIAO C W, ZHANG X S, ZHAO J Z, et al. Response of seedings of three dominant shrubs to climate warming in Ordos Plateau. Acta Botanica Sinica, 2001, 43(7): 736-741. ]
[34] 朱雅娟, 贾子毅, 吴波, 等. 模拟增雨对荒漠灌木白刺枝叶生长的促进作用 [J]. 林业科学研究, 2012, 25(5): 626-631. [ZHU Y J, JIA Z Y, WU B, et al. The role of increased precipitation in promoting branch and leaf growth of Nitraria tangutorum . Forest Research, 2012, 25(5): 626-631. ]
[35] 常昌明. 小针茅荒漠草原水分动态及其对地上生物量的影响 [D]. 呼和浩特: 内蒙古大学, 2014. [CHANG C M. Moisture Factor Dynamics and Its Impact on Aboveground Biomass in Stipa klemenzii Steppe. Huhhot: Inner Mongolia University, 2014. ]
[36] ROXBURGH S H, BARRETT D J, BERRY S L, et al. A critical overview of model estimates of net primary productivity for the Australian continent [J]. Functional Plant Biology, 2004, 31(11): 1043-1059.
[37] WANG Y P, MCGREGOR J L. Estimating regional terrestrial carbon fluxes for the Australian continent using a multiple-constraint approach [J]. Tellus B, 2003, 55(2): 290-304.
[38] FENG X, LIU G, CHEN J M, et al. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing [J]. Journal of Environmental Management, 2007, 85(3): 563-573.
[39] XIAO X, JERRY M, DAVID W K, et al. Net primary production of terrestrial ecosystems in China and its equilibrium responses to changes in climate and atmospheric CO 2 concentration [J]. Acta Phytoecologica Sinica, 1998, 22(2): 97-118.
[40] ZHU W Q, PAN Y Z, ZHANG J S. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing [J]. Journal of Plant Ecology, 2007, 31(3): 413-424
[41] DAN L, JI J J, HE Y, et al. Use of ISLSCP II data to intercompare and validate the terrestrial net primary production in a land surface model coupled to a general circulation model [J]. Journal of Geophysical Research, 2007, 112(D2), D02S90. doi:10.1029/2006JD007721.
[42] PIAO S L, FANG J Y, ZHOU L, et al. Changes in vegetation net primary productivity from 1982 to 1999 in China [J]. Global Biogeochemical Cycles, 2005, 19(2), GB2027. doi:10.1029/2004GB002274.
[43] CRAMER W, KICKLIGHTER D, BONDEAU A, et al. Comparing global models of terrestrial net primary productivity (NPP): Overview and key results [J]. Global Change Biology, 1999, 5(S1): 1-15.
[44] PAN S, TIAN H, DANGAL S, et al. Impacts of climate variability and extremes on global net primary production in the first decade of the 21st century [J]. Journal of Geographical Sciences, 2015, 25(9): 1027-1044.
[45] ZHAO M, RUNNING S W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009 [J]. Science, 2010, 329(5994): 940-943.
[46] FIELD C B, RANDERSON J T, MALMSTROM C M. Global net primary production: Combining ecology and remote-sensing [J]. Remote Sensing of Environment, 1995, 51(1): 74-88.
[47] SINGH R, ROVSHAN S, GOROSHI S, et al. Spatial and temporal variability of net primary productivity (NPP) over terrestrial biosphere of India using NOAA- AVHRR based GloPEM model [J]. Journal of the Indian Society of Remote Sensing, 2011, 39(3): 345-353.
[48] SIROTENKO O D, ABASHINA E V. Modern climate changes of biosphere productivity in Russia and adjacent countries [J]. Russian Meteorology and Hydrology, 2008, 33(4): 267-271.
[49] 任正超, 朱华忠, 张德罡, 等. 俄罗斯布里亚特共和国植被NPP对气候变化的时空响应 [J]. 自然资源学报, 2011, 26(5): 790-801. [REN Z C, ZHU H Z, ZHANG D G, et al. Temporal and spatial response of vegetation net primary producticvity to climate change in Buryatiya Republic, Russia. Journal of Natural Resources, 2011, 26(5): 790-801. ]
[50] ZHOU Y, ZHANG L, FENSHOLT R, et al. Climate contributions to vegetation variations in central Asian drylands: Pre- and post-USSR collapse [J]. Remote sensing, 2015, 7(3): 2449-2470.
[51] EISFELDER C, KLEIN I, NIKLAUS M, et al. Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables [J]. Journal of Arid Environments, 2014, 103(3): 17-30.
[52] GANG C, ZHOU W, WANG Z, et al. Comparative assessment of grassland NPP dynamics in response to climate change in China, North America, Europe and Australia from 1981 to 2010 [J]. Journal of Agronomy and Crop Science, 2015, 201(1): 57-68.
[53] YAN L, CHEN S, HUANG J, et al. Differential responses of auto- and heterotrophic soil respiration to water and nitrogen addition in a semiarid temperate steppe [J]. Global Change Biology, 2010, 16(8): 2345-2357.
[54] LLOYD J, FARQUHAR G D. Effects of rising temperatures and CO 2 on the physiology of tropical forest trees [J]. Philosophical Transactions of the Royal Society B, 2008, 363(1498): 1811-1817.
[55] LIU R, PAN L P, JENERETTE G D, et al. High efficiency in water use and carbon gain in a wet year for a desert halophyte community [J]. Agricultural and Forest Meteorology, 2012, 162/163(2): 127-135.
[56] HUANG G, LI Y. Phenological transition dictates the seasonal dynamics of ecosystem carbon exchange in a desert steppe [J]. Journal of Vegetation Science, 2015, 26(2): 337-347.
[57] 伏玉玲, 于贵瑞, 王艳芬, 等. 水分胁迫对内蒙古羊草草原生态系统光合和呼吸作用的影响 [J]. 中国科学D辑, 2006, 36(S1): 183-193. [FU Y L, YU G R, WANG Y F, et al. Effect of water stress on ecosystem photosynthesis and respiration of a Leymus chinensis steppe in Inner Mongolia. Science in China Series D, 2006, 36(S1): 183-193. ]
文章导航

/