Original Articles

Par ameter ization of Leaf Phenology for the Ter r estr ial Ecosystem Models

Expand
  • 1. Institute of Geographical Sciences and Natural Resources Research, Synthesis Research Center of CERN, Chinese Academy of Sciences, Beijing 100101, China|
    2. Graduate Unviersity of Chinese Academy of Sciences, Beijing 100039, China

Received date: 2006-07-01

  Revised date: 2006-10-01

  Online published: 2006-11-25

Abstract

The seasonal phenology of the leaf area index (LAI) is a major determinant of net e-cosystem production in deciduous forest ecosystems. In the simplest case, the effect of leaf phenology on energy and CO2 fluxes is represented by prescribing leaf onset and offset times or the seasonal evolution of LAI. Leaf phenology remains one of the most difficult processes to be parameterized in terrestrial ecosystem models because the understanding of the physical processes that initiate leaf onset and senescence is incomplete. At present, to describe phenology, the terrestrial models generally use one of two different approaches. One approach uses empirical formulations to estimate the timing of crucial phonological events like leaf- on/off dates only based on abiotic variables, especially temperature or growing degree- days (GDDs). The other approach is a carbon - gain - based scheme. In this approach, the phonological stages are directly determined from the current carbon balance. A carbon- gain- based parameterization of phenology in ecosystem models offers the possibility of reduced empiricism, general applicability, and increased robustness; and it is more suitable for being used in climate change models. In the future, while the mechanisms of processes controlling leaf phenology are clarified with progress being made at the physiological and molecular level, ecosystem models have to set up processbased model of leaf phenology and LAI to promote the robust of simulation results.

Cite this article

GU Fengxue . Par ameter ization of Leaf Phenology for the Ter r estr ial Ecosystem Models[J]. PROGRESS IN GEOGRAPHY, 2006 , 25(6) : 68 -75 . DOI: 10.11820/dlkxjz.2006.06.008

References


[1] Chuine I. A unified model for budburst of trees. Journal of Theoretical Biology, 2000, 207: 337~347.

[2] White M A, Neman R R. Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest. Global Change Biology, 2003, 9: 967~972.

[3] Badeck F W, Bondeau A, Bottcher K, et al. Responses of spring phenology to climate change. New Phytologist, 2004, 162: 295~309.

[4] Osborne C P, Chuine I, Viner D, et al. Olive phenology as a sensitive indicator of future climatic warming in the Mediterranean. Plant, Cell and Environment, 2000, 23: 701~710.

[5] 李胜强, 张福春. 物候信息化及物候时空变化分析. 地理科学进展, 1999, 18( 4) : 352~359.

[6] White M A, Thornton P E, Runing S W. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles, 1997, 11(2): 217~234.

[7] Chuine I, Cambon G, Comtois P. Scaling phenology from the local to the regional level: advances from species - specific phonological models. Global Change Biology, 2000, 6: 943~952.

[8] Baldocchi D D, Falge E, Wilson K B. A spectral analysis of biosphere- atmosphere trace gas flux densities and meteorological variables across hour to multi- year time scales. Agricultural and Forest Meteorology, 2001, 107: 1~27.

[9] Baldocchi D D, Wilson K B. Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales. Ecological Modelling, 2001, 142: 155~184.

[10] Arora V K, Boer G J. A parameterization of leaf phenology for the terrestrial ecosystem component of climate models. Global Change Biology, 2005, 11: 39~59.

[11] Law B E, Tuyl S V, Cescatti A, et al. Estimation of leaf area index in open- canopy ponderosa pine forests at different successional stages and management regimes in Oregon. Agricultural and Forest Meteorology, 2001, 108: 1~14.

[12] Sellers P J, Bounoua L, Collatz G J, et al. Comparison of radiative and physiological effects of doubled atmospheric CO2 on climate. Science, 1996, 271: 1402~1406.

[13] Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biology, 1999, 5(Suppl.1): 1~15.

[14] Bondeau A, Kicklighter D W, Kaduk J, et al. Comparing global models of terrestrial net primary productivity (NPP): importance of vegetation structure on seasonal NPP estimates. Global Change Biology, 1999, 5(Suppl.1): 35~45.

[15] Barr A G, Black T A, et al. Inter- annual variability in the leaf area index of a boreal aspen- hazelnut forest in relation to net ecosystem production. Agricultural and Forest Meteorology, 2004, 126: 237~255.

[16] Chuine I, Cour P, Rousseau D D. Selecting models to predict the timing of flowering of temperate trees: implications for tree phenology modeling. Plant, Cell and Environment, 1999, 22: 1~13.

[17] Kramer K Leinonen, I Loustau D. The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forest ecosystems: an overview. International Journal of Biometeorology, 2000, 44: 67~75.

[18] 吕昭智, 李莉, 田长彦等. 新疆北部20 年棉花物候计算和分析—以炮台镇为例. 干旱区地理, 2003, 26 ( 4) : 340~ 344.

[19] 孟亚利, 曹卫星, 周治国等. 基于生长过程的水稻阶段发育与物候期模拟模型. 中国农业科学, 2003, 36( 11) : 1362~ 1367.

[20] 李长青, 刘力威. 辽宁自然物候统计分析. 辽宁气象, 2004, 2: 44~46.

[21] 肖宜安, 何平, 李晓红. 濒危植物长柄双花木开花物候与生殖特性. 生态学报, 2004, 24( 1) : 14~21.

[22] 郑景云, 葛全胜, 赵会霞. 近40 年中国植物物候对气候变化的响应研究. 中国农业气象, 2003, 24( 1) : 28~32.

[23] 何方. 经济树木物候变化与气候的关系. 经济林研究, 2004, 22( 1) : 1~4.

[24] 徐雨晴, 陆佩玲, 于强. 气候变化对植物物候影响的研究进展. 资源科学, 2004, 26( 1) : 129~136.

[25] Sitch S, Smith B, Prentice I C, et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 2003, 9: 161~185.

[26] Haxeltine A, Prentice I C. BIOME3: an equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability and competition among plant functional types. Global Biogeochemical Cycles, 1996, 10(4): 693~709.

[27] Foley J A, Prentice I C, Ramunkutty N, et al. An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics (IBIS). Global Biogeochemical Cycles, 1996, 10: 603~628.

[28] Kaduk J, Heimann M. A prognostic phenology scheme for global terrestrial carbon cycle. Climate Research,1996,6(1):1~19.

[29] Cesaraccio C, Spano D, Snyder R L, et al. Chilling and forcing model to predict bud- burst of crop and forest species. Agricultural and Forest Meteorology, 2004, 126: 1~13.

[30] Menzel A, Estrella N, Fabian P. Spatial and temporal variability for the phonological seasons in Germany from 1951 to 1996. Global Change Biology, 2001, 7: 657~666.

[31] Kikuzawa K. Phenological and morphological adaptations to the light environment in two woody and two herbaceous plant species. Functional Ecology, 2003, 17: 29~38.

[32] Rousseaux M C, Hall A J, Sanchez R A. Far- red enrichment and photosynthetically active radiation level influence leaf senescence in field- grown sunflower. Physiologia Plantarum, 1996, 96: 217~224.

[33] Norby R J, Hartz- Rubin J S, Verbrugge M J. Phenological responses in maple to experimental atmospheric warming and CO2 enrichment. Global Change Biology, 2003, 9: 1792~1801.

[34] Tanja S, Berninger F, Vesala T, et al. Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring. Global Change Biology, 2003, 9: 1410~1426.

[35] Gabrielle B, Denoroy P, Gosse G, et al. A model of leaf area development and senescence for winter oilseed rape. Field Crops Research, 1998, 57: 209~222.

[36] Sigurdsson B D. Elevated
[CO2] and nutrient status modified leaf phenology and growth rhythm of young Populus trichocarpa trees in a 3- year field study. Trees, 2001, 15: 403~413.

[37] Wijk M T, Williams M, Shaver G R. Tight coupling between leaf area index and foliage N content in arctic plant communities. Oecologia, 2005, 142: 421~427.

[38] Smethurst P, Baillie C, Cherry M, et al. Fertilizer effects on LAI and growth of four Eucalyptus nitens plantations. Forest Ecology and Management, 2003, 176: 531~542.

[39] Hymus G J, Pontailler J Y, Li J H, et al. Seasonal variability in the effect of elevated CO2 on ecosystem leaf area index in a scrub- oak ecosystem. Global Change Biology, 2002, 8: 931~940.

[40] Cook A C, Tissue D T, Roberts S W, et al. Effect of long- term elevated
[CO2] from natural CO2 springs on Nardus stricta: photosynthesis, biochemistry, growth and phenology. Plant, Cell and Environment, 1998, 21: 417~425.

[41] Seiwa K. Changes of leaf phenology are dependent on tree height in Acer mono, a deciduous broad- leaved tree. Annals of Botany, 1999, 83: 355~361.

[42] Wirtz K W. Simulating the dynamics of leaf physiology and Morphology with an extended optimality approach. Annals of Botany, 2000, 86: 753~764.

Outlines

/