白刺叶片性状对人工增水的响应
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
国内外研究认为,气候变化背景下,未来我国西北干旱地区降雨将有不同程度的增加。为研究我国干旱地区典型植被(唐古特白刺,Nitraria tangutorum Bobr.和泡泡刺Nitraria sphaerocarpa Maxim.)在降雨增加背景下的适应能力及变化方向,本研究于2008年选择内蒙古磴口(年均降水145mm)、甘肃民勤(年均降水115mm)、敦煌(年均降水40mm)设立了三个近自然开放式模拟增水试验平台。同时,在三个研究区域各设置5个增水处理(在三个地区多年平均降雨量的基础上额外增加水0%,25%、50%、75%和100%),每个处理设置4个重复,共20块样地。2008年,在植物生长季节(5月10日-9月10日),分10次增水,每次增水间隔时间约15天;2009年,敦煌重新更换样地并将增水梯度调整为0%,50%、100%、200%和300%(磴口、民勤不变),同时将三个地区增水时间间隔调整为30天。本文利用这一平台研究了:(1)降水—土壤水分动态之间相关关系;(2)水分—δ13C值—叶片性状(包括形态:叶片平均长度、宽度、周长、面积、长/宽和周长/面积比;叶片养分:单位重量/面积叶片氮含量;比叶面积等)之间的相关关系;(3)另外采集了三个地区常见物种(共110个样品),研究了三个地区典型植被叶片性状间相关关系。主要结论如下:
     (1)单次增水量小于10mm时(实际降落到地面的水分约6.5mm),增水仅能影响表层10cm左右的土壤含水量变化,而且这种影响通常会在7天内消失;单次增水在10-20mm之间时(实际降落到地面的水分约6.5-13mm),表层20cm的土壤能收到微弱的水分增加信号;单次增水超过20mm(实际降落到地面的水分约13mm)时,增加的水分才能明显下渗至20cm土层;在所有调查数据中,即使单次增水量高达29mm(实际降落到地面的水分为18.9mm)或生长季节单次自然降水大于30mm,降水也很难影响50cm以下的土壤水分含量变化。
     (2)由于白刺(泡泡刺和唐古特白刺)叶片形态为长方形或近椭圆形,所以白刺叶片长、宽变化是决定其形态变化的主要因素。2008/2009年,三个实验区增水最多的样地与对比样地比较,白刺叶片长度(与叶片宽度比较)均表现出优先增加的趋势。2009年敦煌300%增水样地与对比样地比较,泡泡刺叶片长、宽分别增加34%和23%(P<0.01);2008/2009民勤100%增水样地与对比样地比较,白刺叶片长度分别增加11%和10%(P<0.01),而宽度变化不明显(P>0.05);2008年磴口100%增水样地与对比样地比较,叶片长度增加9%(P<0.01),宽度变化不明显(P>0.05),2009年100%增水样地与对比样地比较,叶片长度增加10%(P<0.01),而宽度增加6%(P<0.05)。分析叶片长、宽与样地年水分总量关系发现,每增加100mm水分白刺叶片长度增加0.52cm、而宽度增加0.2cm。
     (3)白刺叶片形态参数间(叶片平均长度、宽度、周长、面积、长/宽和周长/面积比),以及形态参数与叶片养分(单位重量/面积叶片氮含量)、比叶面积、δ13C值之间关系密切。随样地水分总量的增加,白刺周长、叶面积、比叶面积具有增加趋势,长/宽比、周长/面积比、δ13C值具有降低趋势,而叶片养分随水分增加变化趋势不明显。三个地区不同增水样地内叶片比叶面积、养分含量及δ13C值的差异性比较,大部分没有通过统计假设检验(P=0.05)。
     (4)叶片周长/面积比与δ13C值具有正相关关系。出现这一规律的原因可能是由于周长/面积比较高的叶片同时具有较高的边界层导度。炎热的生长季节,在气孔开度降低或关闭,水分胁迫增强的情况下,叶片边界层导度的增加有利降低叶片表面温度。叶片表面温度的降低一方面有利于保护叶片细胞免受高温的伤害,另一方面可以保护叶片光合组织并提高叶片光合速率,从而提高叶片水分利用效率。在降雨增加的背景下,白刺叶片长度优先增加,可以减缓叶片周长/面积比下降速率、从而阻止δ13C值(叶片水分利用效率)随水分增加而快速下降的趋势。
     (5)比较磴口、民勤、敦煌三个地区常见物种叶片性状,发现生长于湿地边缘的敦煌灌木,叶片形态与民勤、磴口灌木差异明显,如敦煌灌木具有更高的叶片长、宽及周长等特征。应用单位面积叶片氮含量将全部样品分3类(类群1,单位面积叶氮含量小于2;类群2,单位面积叶氮含量在2与3之间;类群3,单位面积叶氮含量大于3),然后应用单位重量叶氮含量与比叶面积拟合,结果发现:单位重量叶氮含量随比业面积增加而增加,同时三个类群出现明显策略位移,即比叶面积相同的情况下,单位重量叶氮含量比较,类群3>类群2>类群1;单位重量叶氮含量相同的情况下,比叶面积比较,类群3<类群2<类群1。
The previous study suggested that climate change would increase the rainfall in the arid region in Northwest China. The purpose of this study was to examine the adaptive strategies and changes of the typical vegetation (Nitraria tangutorum Bobr and Nitraria sphaerocarpa Maxim) in the arid region due to increasing rainfall in the future. We had established three open-simulated rainfall platforms in Dengkou (average annual rainfall 145mm), Minqin (average annual rainfall 115mm), Dunhuang (average annual rainfall 40mm) in 2008. Based on the average annual rainfall of three research regions, five water gradients (increasing water 0%, 25%, 50%, 75% and 100%, respectively) had been set up. Each gradient has 4 replicates (Total 20 plots in each research region). The simulation rainfall was operated per 15 days from 10 May to 10 September in 2008. In 2009, the simulation rainfall interval was adjusted to 30 days, and the rainfall of Dunhuang were adjusted to 0% , 50%, 100%, 200% and 300% based on the average annual rainfall of Dunhuang. This paper had used the platform of simulation rainfall to study: (1) the relationships between rainfall and soil moisture; (2) the relationships among rainfall,δ13C value and leaf traits (including leaf shape: leaf length, width, perimeter, area, ratio of length to width and ratio of perimeter to area; leaf nutrient: area- and mass- based leaf nitrogen content; specific leaf area); (3) The relationships among the leaf traits of common species (110 samples)that collected from the three research regions. The major conclusions as follows:
     (1) When single simulation rainfall less than 10mm, the soil moisture of 10cm under surface was affected, and the effect usually disappeared within 7 days. When single simulation rainfall was from 10 to 20mm, soil moisture of 20cm under surface had been able to receive weak rainfall signals within 3 days after simulation rainfall. When single simulation rainfall exceeded 20mm, soil moisture of 20cm under surface could be increased significantly. However, even if single simulation rainfall or natural rainfall was up to 29mm or 30mm during the growing season, soil moisture of 50cm under surface could not be affected at all.
     (2) Leaf shape of Nitraria tangutorum Bobr and Nitraria sphaerocarpa Maxim was close to oval or rectangular, respectively. Leaf length and width were the major factors to determine the leaf morphological changes of. Nitraria tangutorum Bobr and Nitraria sphaerocarpa Maxim With increasing rainfall, leaf length of Nitraria tangutorum Bobr and Nitraria sphaerocarpa Maxim was prior to increase. Compared the plots with 300% increasing water to 0% in Dunhuang in 2009, the leaf length increased 34% (P <0.01), and the leaf width increased 23% (P <0.01); Compared the plots with 100% increasing water to 0% in Minqin in 2008 and 2009, the leaf length increased 11% and 10%, respectively (P <0.01), and the leaf width did not change significantly (P>0.05). Compared the plots with 100% increasing water to that of 0% in Dengkou in 2008, the leaf length increased 9% (P <0.01), and the leaf width did not change significantly (P>0.05). Compared the plots with 100% increasing water to that of 0% in Dengkou in 2009, the leaf length increased 10% (P <0.01), and the leaf width increased 6% (P <0.05). The relationships among leaf length, width and the total annual rainfall in different plots were that leaf length and width increased with the increasing of total annual rainfall. Moreover, the leaf length and width increased 0.52cm and 0.2cm per 100mm, respectively.
     (3) There were close correlation among leaf shape (leaf length, width, perimeter, area, ratio of length to width and ratio of perimeter to area), leaf nutrients (based area and mass leaf nitrogen content), specific leaf area andδ13C value. With the increasing of total rainfall, leaf area, specific leaf area increased, however, ratio of length to width, ratio of perimeter to area andδ13C value decreased, and the variations of leaf nutrient had no consistent trend. On the other hand, by compared the plots of different rainfall gradient in the three research regions, there were not an obviously trend of the variations of specific leaf area, leaf nutrient content andδ13C value.
     (4) There was a positive correlation betweenδ13C value and ratios of perimeter to area. This would be caused by that the leaf with high ratio of perimeter to area always have high leaf boundary layer conductance. In the hot growing season, the increasing of leaf boundary layer conductance would help to decrease leaf surface temperature, which could protect photosynthetic machinery and leaf cells against excessive leaf temperatures when stomata conductance decreasing or close in response to water stress, and thus increase water use efficiency. In fact, leaf length of Nitraria increased priority with increasing rainfall, which could slow down the decreasing rate of ratio of perimeter to area, and preventδ13C value (leaf water use efficiency) from rapid declining with increasing rainfall.
     (5) Compared the leaf traits of common species in Dengkou, Minqin, Dunhuang, the shrub leaf shapes of Dunhuang, which located at the edge of the wetland, had significant differences with Minqin and Dengkou shrubs. Such as, the shrub leaf of Dunhuang had higher leaf length, width and perimeter.
     Based on the area-based leaf nitrogen content(Narea), all the samples were divided into 3 groups: group 1; Narea <2, group 2: 23. Comparing specific leaf area and mass-based leaf nitrogen content, the results showed that mass-based leaf nitrogen content increased with the increasing of specific leaf area. Given the specific leaf area, mass-based leaf nitrogen content decreased successively in group 3, group 2 and group 1, while given the mass-based leaf nitrogen content, specific leaf area increased successively in group 3, group 2 and group 1.
引文
[1]阿拉木萨,裴铁璠,蒋德明.科尔沁沙地人工固沙林土壤水分与植被适宜度探讨[J].水科学进展,2005,16(3):426~431
    [2]白永飞,张丽霞,张焱等.内蒙古锡林河流域草原群落植物功能群组成沿水热梯度变化的样带研究.植物生态学报. 2002,26(3):308~316
    [3]丁一汇.中国西部环境演变评估(第二卷):中国西部环境变化的预测.北京:科学出版社.2002
    [4]殷树鹏.中国西北地区植物δ13C值的影响因素及其生态意义.兰州大学硕士毕业论文. 2008
    [6]傅伟,王天铎.边界层阻力在叶片气体交换过程中的作用[J] .植物学报, 1994,36(8):614~621
    [7]林光辉,黄建辉,陈世苹.生态学中的稳定同位素技术.见:陈吉泉,李博,马志军,赵斌主编.生态学家面临的挑战--问题与途径.北京:高等教育出版社. 2005.
    [8]李永华,罗天祥,卢琦等.青海省沙珠玉治沙站17种主要植物叶性因子的比较.生态学报,2005,25(5):994~999
    [9]刘峻杉,徐霞,张勇等.长期降雨波动对半干旱灌木群落生物量和土壤水分动态的效应.中国科学C辑,2010,40(2):166~174
    [10]吕贻忠,胡克林,李保国.毛乌素沙地不同沙丘土壤水分的时空变异.土壤学报,2006,43(1):152~154
    [11]孙双峰,黄建辉,林光辉等.稳定同位素技术在植物水分利用研究中的应用.生态学报,2005,25: 2362~2371
    [12]石莎,马风云,刘立超等.沙坡头地区不同植被结构对沙地土壤水分的影响.中央民族大学学报(自然科学版),2004,13(2):137~145
    [13]施雅风,沈永平,胡汝骥.西北气候由暖干向暖湿转型的信号、影响和前景初步探讨.冰川冻土,2002,24(03):219~226
    [14]施雅风,沈永平,李栋梁等.中国西北气候由暖干向暖湿转型的特征和趋势探讨.第四纪研究,2003,23(02):152~164
    [15]王英,曹明奎,陶波等.全球气候变化背景下中国降水量空间格局的变化特征.地理研究,2006, 25(6): 1031~1040
    [16]王国安,韩家懋.中国西北C-3植物的碳同位素组成与年降雨量关系初探.地质科学,2001,36(4): 494 ~ 499
    [17]于强,任保华,王天铎等. C3植物光合作用日变化的模拟.大气科学,1998,22(6): 867~880
    [18]翟盘茂,潘晓华.中国北方近50年温度和降水极端事件变化.地理学报,2003,58:1~10
    [19]张志山张景光刘立超等.沙漠人工植被降水截留特征研究.冰川冻土,2005,27(5): 761~766
    [20]中国科学院中国植物志编辑委员会.中国植物志,第四十三卷,第一分册,1998,116~123
    [21]中国森林编委会.中国森林,2000,1988 ~1991
    [22] Ackerly D. D., C. A. Knight, S. B. Weiss et. al. Leaf size, specific leaf area and microhabitat distribution of chaparral woody plants: contrasting patterns in species level and community level analyses. Oecologia, 2002, 130: 449~457
    [23] Nicotra. AB, JP. Hermes, CS. Jones et. al. Geographic variation and plasticity to water and nutrients in Pelargonium australe. New Phytol, 2007, 176(1):136~149
    [24] Araus, JL, Amaro, T., Zu et. al. Effects of leaf structure and water status on carbon isotope discrimination in field-grown durum wheat. Plant Cell and Environment, 1997, 20, 1484~1494
    [25] Ashton, PS and Hall, P. Comparisons of structure among mixed dipterocarp forests of north-western Borneo. Journal of Ecology, 1992, 80:459~481.
    [26] Barboni D, SP. Harrison, PJ. Bartlein et. al. Relationships between plant traits and climate in the Mediterranean region:a pollen data analysis. Journal of Vegetation Science, 2004,15: 635~646
    [27] Balota, W.A. Payne, S.R. Evett and T.R. Peters. Morphological and Physiological Traits Associated with Canopy Temperature Depression in Three Closely Related Wheat Lines. Crop Science Society of America, 2008. 48:1897~1910
    [28] Bowling D.R., NG. McDowell, BJ. Bond, et. al.δ13C content of ecosystem respiration is linked to precipitation and vapor pressure deficit. Oecologia, 2002, 131:113~124.
    [29] Cable JM, Huxman TE. Precipitation pulse size effects on Sonoran Desert soil microbial crusts. Oecologia, 2004,141:317~324
    [30] Cernusak, L.A. and JD.Marshall. Responses of foliarδ13C, gas exchange and leaf morphology to reduced hydraulic conductivity in Pinus monticola branches. Tree Physiology, 2001, 21:1215~1222
    [31] ChapinⅢ, F.S. The mineral nutrition of wild plants. Annual Review of Ecology and Systematics, 1980, 11:233~260.
    [32] ChapinⅢF S, Bloom A B, Field C B, et a1. Plant responses to multiple environmental factors. BioScience, 1987, 37(1): 49~57
    [33] ChapinⅢ, F.S. Effect of plant traits on ecosystem and regional processes: a conceptual framework for predicting the consequences of global change. Annals of Botany, 2003, 91:455~463
    [34] Chen SP., GH. Lin, JH. Huang et.al. Responses of soil respiration to simulated precipitation pulses in semiarid steppe under different grazing regimes. Journal of Plant Ecology, 2008, 1: 237~246
    [35] Conner J and Via S Patterns of phenotypic and genetic correlations among morphological and life history traits in wild radish. Evolution, 1993, 47(2): 704~711.
    [36] Cordell, S., G.Goldstein, D.Muellerdombois, et.al. Physiological and morphological variation in Metrosideros polymorpha, a dominant Hawaiian tree species, along an altitudinal gradient– the role of phenotypic plasticity. Oecologia, 1998, 113:188~196.
    [37] Cunningham, S.A., B.Summerhayes, and M.Westoby. Evolutionary divergences in leaf structure and chemistry, comparing rainfall and soil nutrient gradients. Ecological Monographs, 1999, 69: 569~588.
    [38] Díaz, S., JG.Hodgson, K. Thompson. et.al. The plant traits that drive ecosystems: Evidence from three continents. Journal of Vegetation Science, 2004, 15:295~304.
    [39] Dolph, GE. and DL. Dilcher. Variation in leaf size with respect to climate in the Western Hemisphere. Bulletin Torrey Bot. Club,1980, 107(2):157~162.
    [40] Farquhar GD., TD.Sharkey. Stomatal Conductance and Photosynthesis. Annual Review of Plant Physiology, 1982, 33:317~345.
    [41] Field C,HA. Mooney. The photosynthesis-nitrogen relationship in wild plants. In:Givnish TJ. ed. On the economy of plant form and function. Cambridge: Cambridge University Press. 1986.
    [42] Field C, J Merino, HA Mooney. Compromises between water-use efficiency and nitrogen-use efficiency in five species of California evergreens. Oecologia, 1983, 60:384~9.
    [43] Field C. Allocating leaf nitrogen for the maximization of carbon gain: leaf age as a control on the allocation program. Oecologia, 1983, 56:341~347.
    [44] Fonseca C.R., JM.Overton, B.Collins et.al. Shifts in trait-combinations along rainfall and phosphorus gradients. Journal of Ecology, 2000, 88: 964~977.
    [45] Gao Xj, Zc. Zhao, Yh. Ding, et.al. Climate change due to greenhouse effects in China as simulated by regional climate model. Advance in Atmosphere Science, 2001, 18:1224~1230.
    [46] Gregory-Wodzicki K. M. Relationships between leaf morphology and climate, Bolivia: implications for estimating paleoclimate from fossil floras. Paleobiology, 2000, 26: 668~688
    [47] Halloy, SRP. & AF. Mark. Comparative leaf morphology spectra of plant communities in New Zealand, the Andes and the European Alps. Journal of the Royal Society of New Zealand, 1996, 26, 41~78.
    [48] Hamerlynck E.P., TE. Huxman, JR. McAuliffe et.al. Carbon isotope discrimination and foliar nutrient status of Larrea tridentata (creosote bush) in contrasting Mojave Desert soils. Oecologia, 2006, 138, 210~215.
    [49]Hendrey, GR, DS. Ellsworth, KF, Lewin, et.al., A free-air enrichment system for exposing tall forest vegetation to elevated atmospheric CO2 Globel. Change Biology. 1999, 5: 293~309
    [50] Huxman TE, KA. Snyder, D. Tissue,et.al. Precipitation pulses and carbon balance in semi-arid and arid ecosystems. Oecologia, 2004a, 141:254~268.
    [51] Huxman TE, JM Cable, DD Ignace et.al. Response of net ecosystem gas exchange to a simulated precipitation pulse in a semi-arid grassland: the role of native versus non-native grasses and soil texture. Oecologia, 2004b, 141:295~305.
    [52] Hultine KR. and JD. Marshall. Altitude trends in conifer leaf morphology and sTabcarbon isotope composition. Oecologia, 2000, 23:32~40
    [53] IPCC. Climate Change 2007: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Parry, Martin L., Canziani, Osvaldo F., Palutikof, Jean P., van der Linden, Paul J., and Hanson, Clair E. (eds.)]. Cambridge University Press, Cambridge, United Kingdom, 2007
    [54] Juhrbandt J, C Leusehner. D Htilscher. The relationship between maximal stomatal conductance and leaf traits in eight Southeast Asian early successional tree species. Forest Ecology and Management, 2004, 202:245~256.
    [55] K?chy M. Effects of simulated daily precipitation patterns on annual plant populations depend on life stage and climatic region. BMC Ecology, 2008, 8(4):1~23
    [56] K?rner C.H. Some often overlooked plant characteristics as determinants of plant growth: a reconsideration. Functional Ecology, 1991, 5:162~173.
    [57] Killingbeck KT., WG. Whitford. High foliar nitrogen in desert shrubs: An important ecosystem trait or defective desert doctrine? Ecology, 1996, 77: 1728~1737.
    [58] Lambers H, FS ChapinⅢ, TL Pons. Plant Physiological Ecology, Springer-Verlag New York. 1998.
    [59] McDonald PG, CR.Fonseca, JM. Overton et.al., Leaf-size divergence along rainfall and soil-nutrient gradients: Is the method of size reduction common among clades? Functional Ecology, 2003, 17: 50~57
    [60] McDowell N, JR. Brooks, SA. Fitzgerald et.al. Carbon isotope discrimination and growth response of old Pinus ponderosatrees to stand density reductions. Plant Cell and Environment, 2003, 26: 631~644.
    [61] Meng TT, J Ni, SP Harrison. Plant morphometric traits and climate gradients in northern China: a meta-analysis using quadrat and flora data. Annals of botany, 2009, 104(6):1217~1229
    [62] Marron N, M. Villar, E. Dreyer et.al. Diversity of leaf traits related to productivity in 31 Populus deltoides×Populus nigra clones, Tree Physiology, 2005, 25:425~435
    [63] Nath, U, BC. Crawford, R. Carpenter et.al. Genetic control of surface curvature. Science, 2003, 299:1404~1407
    [64] Nobel PS. Physicochemical and Environmental Plant Physiology (Fourth edition). Canada: Academic Press. 2009
    [65] Noy-Meir I. Desert ecosystems: environment and producers. Annual Review of Ecology and Systematics, 1973, 4:25~41
    [66] Ogle K, Reynolds JF. Plant responses to precipitation in desert ecosystems: integrating functional types, pulses, thresholds, and delays. Oecologia, 2004, 141:282~294
    [67] Parkhurst DF, OL Loucks. Optimal leaf size in relation to environment. Journal of Ecology, 1972, 60:505~537
    [68] Patrick L, J Cable, D Potts et.al. Effect of an increase in summer precipitation on leaf, soil and ecosystem CO2 and H2O fluxes in a stool-grassland in Big Bend National Park, Texas. Oecologia, 2007, 151(4):704~718
    [69] Picotte JJ, JM Rhode, MB Cruzan. Leaf morphological responses to variation in water availability for plants in the Piriqueta caroliniana complex. Plant Ecology, 2008, 200(2):267~275.
    [70] Potts DL, TE Huxman, RL Scott et.al. The sensitivity of ecosystem carbon exchange to seasonal precipitation and woody plant encroachment. Oecologia, 2006, 150:453~463
    [71] Philip AF, JD Carlisle, AK. Knapp et.al. Altering Rainfall Timing and Ouantity in a Mesic Grassland Ecosystem: Design and Performance of Rainfall Manipulation Shelters. Ecosystems, 2000, 3:308~319.
    [72] Reich PB, MB Walters, DS Ellsworth. From tropics to tundra convergence in plant functioning. Proceedings National Academy of Science, USA, 1997, 94:13730~13734.
    [73] Reynolds JF, PR Kemp, K Ogle et.al. Modifying the 'pulse-reserve' paradigm for deserts of North America: precipitation pulses, soil water, and plant responses. Oecologia, 2004, 141:194~210
    [74] Robinson DCE, SJ Beukema, LA Greig. Vegetation models and climate change: workshop results. Prepared by ESSA Technologies Ltd., for Western Wildlands Threat Assessment Center, USDA Forest Service, Prineville, OR. 2008
    [75] Schuepp PH. Tansley Review No. 59. Leaf boundary layers. New Phytologist, 1993, 125:477~507
    [76] Schwinning, S, OE Sala, ME Loik et.al. Thresholds, memory and seasonality: understanding pulsedynamics in arid/semiarid ecosystems. Oecologia, 2004, 141: 191~193.
    [77] Schwinning S, OE Sala. Hierarchy of responses to resource pulses in and semi-arid ecosystems. Oecologia, 2004, 141:211~220
    [78] Schulze ED, RH Robichaux, J Grace et.al., Plant water balance. Bioscience, 1987, 37:30~37
    [79] Schulze ED, RJ Williams, GD Farquhar et.al. Carbon and nitrogen isotope discrimination and nitrogen nutrition of trees along a rainfall gradient in northern Australia. Australian Journal of Plant Physiology, 1998, 25:413~425
    [80] Schulze ED, NC Turner, D Nicolle et.al. Leaf and wood carbon isotope ratios, specific leaf areas and wood growth of Eucalyptus species across a rainfall gradient in Australia. Tree Physiology, 2006, 26, 479~492
    [81] Scott RL, TE Huxman, DG Williams et.al. Ecohydrological impacts of woody plant encroachment: seasonal patterns of water and carbon dioxide exchange within a semiarid riparian environment. Global Change Biology, 2006, 12:311~324
    [82] Smith WK, PS Nobel. Influences of seasonal changes in leaf morphology on water-use efficiency for three desert broadleaf shrubs. Ecology, 1977, 58:2227~2233
    [83] Sparks JP, JR Ehleringer. Leaf carbon isotope discrimination and nitrogen content for riparian trees along elevational transects. Oecologia, 1997, 109:362~367.
    [84] Terrestrial Ecosystems Model (TEM), cited by: http://globalchange.mit.edu/igsm/eic-tem.html and http://ecosystems.mbl.edu/TEM/index.html.
    [85] Thuiller W, S Lavorel, GF Midgley et.al. Relating plant traits and species distributions along bioclimatic gradients for 88 Leucadendron species in the Cape Floristic Region. Ecology, 2004, 85:1688~1699
    [86] Tsukaya, H. Mechanism of leaf-shape determination. Annual Review of Plant Biology, 2006, 57: 477~496
    [87] Tsukaya H. Leaf shape: Genetic controls and environmental factors. International Journal of Developmental Biology, 2005, 49:547~555
    [88] Thomas WJ, JF Chabot, BF. Chabot Effects of Light and Nutrients on Leaf Size, CO2 Exchange, and Anatomy in Wild Strawberry (Fragaria virginiana), Plant Physiology, 1982, 70:1044~1048
    [89] Thuiller W, S Lavorel, G.F Midgley et.al. Relating plant traits and species distributions along bioclimatic gradients for 88 Leucadendron species in the Cape Floristic Region. Ecology, 2004, 85:1688~1699
    [90] Turner NC., ED Schulze, D Nicolle et.al. Annual rainfall does not directly determine the carbon isotope ratio of leaves of Eucalyptus species. Physiologia Plantarum, 2008, 132, 440~445.
    [91] Wright IJ, M Westoby. Cross- species relationship between seedling relative growth rate , nitrogen productivity and root vs. leaf function in 28 Australian woody species. Functional Ecology, 2000, 14:97~107.
    [92] WrightIJ, PB Reich,M Westoby. Strategy shifts in leaf physiology,structure and nutrient content between species of high—and low—rainfall and high—and low—nutrient habitats. Functional Ecology, 2001, 15:43~434
    [93] Wright IJ, M Westoby, PB Reich. Convergence towards higher leaf mass per area in dry and nutrient-poor habitats has different consequences for leaf life span. Journal of Ecology, 2002, 90:534~543
    [94] Wright IJ, PB Reich, M Westoby et.al. The worldwide leaf economics spectrum. Nature, 2004, 428, 821~827.
    [95] Walter H. Natural savannahs as a transition to the arid zone. In: Ecology of tropical and subtropical vegetation. Oliver and Boyd, Edinburgh, 1971, 238~265
    [96] Webb LJ. Environment relationships of the structural types of Australian rainforest vegetation. Ecology, 1968, 49:296~311
    [97] Weijschede J, J Martinkova, H Kroon et.al. Shade avoidance in Trifolium repens: costs and benefits of plasticity in petiole length and leaf size. New Phytologist, 2006, 172:655~666
    [98] Weltzin JF, ME Loik, S Schwinning et.al. Assessing the response of terrestrial ecosystems to potential changes in precipitation. BioScience, 2003, 53:941~952
    [99] Westoby M. A leaf-height-seed (LHS) plant ecology strategy scheme. Plant and Soil, 1998, 199:213~227
    [100] Westoby M, DS Falster, AT Moles et.al. Plant ecological strategies: some leading dimensions of variation between species. Annual Review of Ecology and Systematics, 2002, 33:125~59
    [101] Xu F, WH Gun, WH Xu. Habitat effects on leaf morphological plasticity in Quercus acutissima. Acta Biologica Cracoviensia Series Botanica, 2008, 50(2):19~26

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700