A process-based model to predict the effects of climatic change on leaf isoprene emission rates

被引:47
|
作者
Martin, MJ [1 ]
Stirling, CM
Humphries, SW
Long, SP
机构
[1] Univ Essex, Dept Biol Sci, John Tabor Labs, Colchester CO4 3SQ, Essex, England
[2] Univ Wales, Sch Agr & Forest Sci, Bangor LL57 2UW, Gwynedd, Wales
[3] Brookhaven Natl Lab, Upton, NY 11973 USA
[4] Univ Illinois, Dept Crop Sci, Urbana, IL 61801 USA
[5] Univ Illinois, Dept Plant Biol, Edward R Madigan Lab 190, Urbana, IL 61801 USA
基金
英国自然环境研究理事会;
关键词
isoprene emissions; climate change; elevated carbon dioxide; temperature;
D O I
10.1016/S0304-3800(00)00258-1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A process-based model was constructed around the current knowledge of the biochemical pathway of isoprene synthesis, with the objective of producing a new model of high mechanistic content to simulate the effects of environmental change on rates of isoprene emission, and thus enable the prediction of emission rates under future climates. The model was based on the three potentially limiting processes underlying isoprene synthesis: pyruvate supply to provide the substrate of isoprene carbon, supply of adenosine triphosphate (ATP) for phosphorylation to dimethylallyl pyrophosphate (DMAPP), and the rate of isoprene synthesis from DMAPP, which was controlled by the temperature dependency of the enzyme isoprene synthase. Using mechanistic methods wherever possible, model simulations predicted the relative effects of changing photon flux density, carbon dioxide concentrations and temperature on leaf isoprene emission rates. The model was used to predict the interactive effects of elevated concentrations of carbon dioxide and temperature on rates of isoprene emission. Simulations indicated that the effects of carbon dioxide and temperature on isoprene emission rates were complicated by the interactive effects of two of the controlling rate-limiting processes in the synthesis of isoprene, namely phosphorylation rates and isoprene synthase activity. Under present concentrations of carbon dioxide and at photon flux density levels above ca. 500 mu mol m(-2) s(-1) the controlling rate process is the temperature dependency of isoprene synthase. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:161 / 174
页数:14
相关论文
共 50 条
  • [1] Process-based modelling of isoprene emission by oak leaves
    Zimmer, W
    Brüggemann, N
    Emeis, S
    Giersch, C
    Lehning, A
    Steinbrecher, R
    Schnitzler, JP
    PLANT CELL AND ENVIRONMENT, 2000, 23 (06): : 585 - 595
  • [2] LEAF: a process-based model of berry ripening in vineyards
    Carteni, Fabrizio
    Scognamiglio, Pasquale
    Teobaldelli, Maurizio
    Mataffo, Alessandro
    Mazzoleni, Stefano
    Garcia-Tejera, Omar
    Girona, Joan
    Queiroz, Jorge
    Cabral, Ines
    Rossi, Claudio
    Marcos, Raul
    Porras, Ignasi
    Basile, Boris
    2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), 2019, : 152 - 157
  • [3] Investigating shoreface-lithology effects in a process-based model of coastline change
    Center for Nonlinear and Complex Systems, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC 27708-0230, United States
    1600, (2006):
  • [4] A reference model of 'operate' processes for process-based change
    Smart, PA
    Maull, RS
    Childe, SJ
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 1999, 12 (06) : 471 - 482
  • [5] A reference model of 'operate' processes for process-based change
    Smart, P.A.
    Maull, R.S.
    Childe, S.J.
    International Journal of Computer Integrated Manufacturing, 12 (06): : 471 - 482
  • [6] A model of isoprene emission based on energetic requirements for isoprene synthesis and leaf photosynthetic properties for Liquidambar and Quercus
    Niinemets, Ü
    Tenhunen, JD
    Harley, PC
    Steinbrecher, R
    PLANT CELL AND ENVIRONMENT, 1999, 22 (11): : 1319 - 1335
  • [7] Process-based estimates of terrestrial ecosystem isoprene emissions:: incorporating the effects of a direct CO2-isoprene interaction
    Arneth, A.
    Niinemets, U.
    Pressley, S.
    Back, J.
    Hari, P.
    Karl, T.
    Noe, S.
    Prentice, I. C.
    Serca, D.
    Hickler, T.
    Wolf, A.
    Smith, B.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 : 31 - 53
  • [8] A process-based model to predict the evolution and final concentration of sugars in mangoes
    Drouillard, A.
    Grechi, I
    Lechaudel, M.
    Laridon, Y.
    Genard, M.
    VI INTERNATIONAL SYMPOSIUM ON APPLICATIONS OF MODELLING AS AN INNOVATIVE TECHNOLOGY IN THE HORTICULTURAL SUPPLY CHAIN MODEL-IT 2019, 2021, 1311 : 91 - 98
  • [9] Combining process-based model and machine learning to predict hydrological regimes in floodplain wetlands under climate change
    Yao, Siyang
    Chen, Cheng
    Chen, Qiuwen
    Zhang, Jianyun
    He, Mengnan
    JOURNAL OF HYDROLOGY, 2023, 626
  • [10] Integrating parameter uncertainty of a process-based model in assessments of climate change effects on forest productivity
    Christopher P. O. Reyer
    Michael Flechsig
    Petra Lasch-Born
    Marcel van Oijen
    Climatic Change, 2016, 137 : 395 - 409