globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.gloplacha.2016.12.012
论文题名:
Reconstructing ice-age palaeoclimates: Quantifying low-CO2 effects on plants
作者: Prentice I.C.; Cleator S.F.; Huang Y.H.; Harrison S.P.; Roulstone I.
刊名: Global and Planetary Change
ISSN: 0921-8181
出版年: 2017
卷: 149
起始页码: 166
结束页码: 176
语种: 英语
英文关键词: Last glacial maximum ; Moisture index ; Palaeoclimate reconstruction ; Plant available moisture ; Water-use efficiency
Scopus关键词: Atmospheric composition ; Carbon ; Climate change ; Evapotranspiration ; Glacial geology ; Moisture ; Plants (botany) ; Vegetation ; Water supply ; Empirical relationships ; Last Glacial Maximum ; Moisture index ; Palaeoclimate reconstruction ; South-eastern Australia ; Statistical reconstruction ; Vapour pressure deficits ; Water use efficiency ; Carbon dioxide
英文摘要: We present a novel method to quantify the ecophysiological effects of changes in CO2 concentration during the reconstruction of climate changes from fossil pollen assemblages. The method does not depend on any particular vegetation model. Instead, it makes use of general equations from ecophysiology and hydrology that link moisture index (MI) to transpiration and the ratio of leaf-internal to ambient CO2 (χ). Statistically reconstructed MI values are corrected post facto for effects of CO2 concentration. The correction is based on the principle that e, the rate of water loss per unit carbon gain, should be inversely related to effective moisture availability as sensed by plants. The method involves solving a non-linear equation that relates e to MI, temperature and CO2 concentration via the Fu-Zhang relation between evapotranspiration and MI, Monteith's empirical relationship between vapour pressure deficit and evapotranspiration, and recently developed theory that predicts the response of χ to vapour pressure deficit and temperature. The solution to this equation provides a correction term for MI. The numerical value of the correction depends on the reconstructed MI. It is slightly sensitive to temperature, but primarily sensitive to CO2 concentration. Under low LGM CO2 concentration the correction is always positive, implying that LGM climate was wetter than it would seem from vegetation composition. A statistical reconstruction of last glacial maximum (LGM, 21±1 kyr BP) palaeoclimates, based on a new compilation of modern and LGM pollen assemblage data from Australia, is used to illustrate the method in practice. Applying the correction brings pollen-reconstructed LGM moisture availability in southeastern Australia better into line with palaeohydrological estimates of LGM climate. © 2017 Elsevier B.V.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010871811&doi=10.1016%2fj.gloplacha.2016.12.012&partnerID=40&md5=600269d2cd5559301ff475ed13fc62e6
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11764
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: AXA Chair of Biosphere and Climate Impacts, Imperial College London, Department of Life Sciences, Silwood Park Campus, Buckhurst Road, Ascot, United Kingdom

Recommended Citation:
Prentice I.C.,Cleator S.F.,Huang Y.H.,et al. Reconstructing ice-age palaeoclimates: Quantifying low-CO2 effects on plants[J]. Global and Planetary Change,2017-01-01,149.
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