全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Comparison of Carbon Dynamics among Three Cool-Temperate Forests (Quercus serrata, Larix kaempferi and Pinus densiflora) under the Same Climate Conditions in Japan

DOI: 10.4236/jep.2019.107055, PP. 929-941

Keywords: Dominant Species, Functional Type, Heterotrophic Respiration, Net Ecosystem Production, Net Primary Production

Full-Text   Cite this paper   Add to My Lib

Abstract:

To understand the role of forest ecosystems in the global carbon cycle, it is important to clarify the factors affecting the carbon balance of forest ecosystems. However, little is known about the direct effect of forest types, especially dominant species, on their different carbon dynamics. To clarify the effect of difference in forest types, an experiment was conducted in three forests, which were located in the same place and exposed to the same climate conditions. These forests were middle-aged (40 - 45 years) and dominated by Quercus serrata (Q forest), Larix kaempferi (L forest) and Pinus densiflora (P forest). Net primary production (NPP), heterotrophic respiration (HR) and net ecosystem production (NEP) were estimated in each forest, using a biometric method over one year. For NPP estimated from the annual growth of tree biomass (ΔB) and amount of litter (LF), P forest NPP (5.3 MgC·ha-1·yr-1) was higher than Q and L forest NPP (4.6 and 3.2 MgC·ha-1·yr-1). The difference was affected by a significant difference in ΔB (p = 0.032) and LF (p < 0.001) mainly because of leaf biomass. The HR in Q forest (4.1 MgC·ha-1·yr-1) was higher than L and P forest (2.3 and 2.1 MgC·ha-1·yr-1). This difference could result from the amount of litter (respiration substrate) and chemical properties of litter (lability of decomposition). The NEP, which was calculated from the difference between NPP and HR, varied widely among the forest types (0.5, 0.9 and 3.2 MgC·ha-1·yr-1 in Q, L and P forests, respectively). The range of values among the forest types was comparable to those among age sequences and climate zones in previous studies. These results suggest that the difference in forest types (especially dominant species) can potentially lead to a large variation in carbon dynamics, in ecosystems located in the same place.

References

[1]  Yamamoto, S., Murayama, S., Saigusa, N. and Kondo, H. (1999) Seasonal and Inter-Annual Variation of CO2 Flux between a Temperate Forest and the Atmosphere in Japan. Tellus B: Chemical and Physical Meteorology, 51, 402-413.
[2]  Ohtsuka, T., Mo, W., Satomura, T., Inatomi, M. and Koizumi, H. (2007) Biometric Based Carbon Flux Measurements and Net Ecosystem Production (NEP) in a Temperate Deciduous Broad-Leaved Forest beneath a Flux Tower. Ecosystems, 10, 324-334.
https://doi.org/10.1007/s10021-007-9017-z
[3]  Malhi, Y., Baldocchi, D.D. and Jarvis, P.G. (1999) The Carbon Balance of Tropical, Temperate and Boreal Forests. Plant, Cell & Environment, 22, 715-740.
https://doi.org/10.1046/j.1365-3040.1999.00453.x
[4]  Saigusa, N., Yamamoto, S., Murayama, S. and Kondo, H. (2005) Inter-Annual Variability of Carbon Budget Components in an AsiaFlux Forest Site Estimated by Long-Term Flux Measurements. Agricultural and Forest Meteorology, 134, 4-16.
https://doi.org/10.1016/j.agrformet.2005.08.016
[5]  Ohtsuka, T., Saigusa, N. and Koizumi, H. (2009) On Linking Multiyear Biometric Measurements of Tree Growth with Eddy Covariance-Based Net Ecosystem Production. Global Change Biology, 15, 1015-1024.
https://doi.org/10.1111/j.1365-2486.2008.01800.x
[6]  Curtis, P.S., Hanson, P.J., Bolstad, P., Barford, C., Randolph, J.C., Schmid, H.P. and Wilson, K.B. (2002) Biometric and Eddy-Covariance Based Estimates of Annual Carbon Storage in Five Eastern North American Deciduous Forests. Agricultural and Forest Meteorology, 113, 3-19.
https://doi.org/10.1016/S0168-1923(02)00099-0
[7]  Hirata, R., Hirano, T., Saigusa, N., Fujinuma, Y., Inukai, K., Kitamori, Y., Takahashi, Y. and Yamamoto, S. (2007) Seasonal and Interannual Variations in Carbon Dioxide Exchange of a Temperate Larch Forest. Agricultural and Forest Meteorology, 147, 110-124.
https://doi.org/10.1016/j.agrformet.2007.07.005
[8]  Ohtsuka, T., Negishi, M., Sugita, K., Iimura, Y. and Hirota, M. (2013) Carbon Cycling and Sequestration in a Japanese Red Pine (Pinus densiflora) Forest on Lava Flow of Mt. Fuji. Ecological Research, 28, 855-867.
https://doi.org/10.1007/s11284-013-1067-4
[9]  Pregitzer, K.S. and Euskirchen, E.S. (2004) Carbon Cycling and Storage in World Forests: Biome Patterns Related to Forest Age. Global Change Biology, 10, 2052-2077.
https://doi.org/10.1111/j.1365-2486.2004.00866.x
[10]  Peichl, M., Brodeur, J.J., Khomik, M. and Arain, M.A. (2010) Biometric and Eddy-Covariance Based Estimates of Carbon Fluxes in an Age-Sequence of Temperate Pine Forests. Agricultural and Forest Meteorology, 150, 952-965.
https://doi.org/10.1016/j.agrformet.2010.03.002
[11]  Yuste, J.C., Konôpka, B., Janssens, I.A., Coenen, K., Xiao, C.W. and Ceulemans, R. (2005) Contrasting Net Primary Productivity and Carbon Distribution between Neighboring Stands of Quercus robur and Pinus sylvestris. Tree Physiology, 25, 701-712.
https://doi.org/10.1093/treephys/25.6.701
[12]  Kuzyakov, Y. and Gavrichkova, O. (2010) Time Lag between Photosynthesis and Carbon Dioxide Efflux from Soil: A Review of Mechanisms and Controls. Global Change Biology, 16, 3386-3406.
https://doi.org/10.1111/j.1365-2486.2010.02179.x
[13]  Tomotsune, M., Masuda, R., Yoshitake, S., Anzai, T. and Koizumi, H. (2013) Seasonal and Inter-Annual Variations in Contribution Ratio of Heterotrophic Respiration to Soil Respiration in a Cool-Temperate Deciduous Forest. Journal of Geography, 122, 745-754.
[14]  Katakura, M., Yamanouchi, M. and Koyama, Y. (2007) Carbon Stocks and Biomass of Japanese Larch, Red Pine and Quercus Forests. And Changes in Surface Soil Carbon of Japanese Red Pine Forest after Logging. Bulletin of the Nagano Prefectural Forestry Research Center, 22, 33-55. (in Japanese)
[15]  Shidei, T. and Kira, T. (1977) Primary Productivity of Japanese Forests—Productivity of Terrestrial Communities. JIBP Synthesis 16. University of Tokyo Press, Tokyo.
[16]  Tomotsune, M., Yoshitake, S., Watanabe, S. and Koizumi, H. (2013) Separation of Root and Heterotrophic Respiration within Soil Respiration by Trenching, Root Biomass Regression, and Root Excising Methods in a Cool-Temperate Deciduous Forest in Japan. Ecological Research, 28, 259-269.
https://doi.org/10.1007/s11284-012-1013-x
[17]  Hatiya, K., Fujimori, T., Tochiaki, K. and Andô, T. (1966) Studies on Seasonal Variations of Leaf and Leaf-Fall Amount in Japanese Red Pine (Pinus densiflora) Stands. Bulletin of the Forestry and Forest Products Research Institute, 191, 101-113. (in Japanese)
[18]  Mizoguchi, Y., Ohtani, Y., Takanashi, S., Iwata, H., Yasuda, Y. and Nakai, Y. (2012) Seasonal and Interannual Variation in Net Ecosystem Production of an Evergreen Needleleaf Forest in Japan. Journal of Forest Research, 17, 283-295.
https://doi.org/10.1007/s10310-011-0307-0
[19]  Berg, B. and McClaugherty, C. (2003) Plant Litter: Decomposition, Humus Formation, Carbon Sequestration. Springer-Verlag, Berlin.
https://doi.org/10.1007/978-3-662-05349-2
[20]  Hobbie, S.E., Reich, P.B., Oleksyn, J., Ogdahl, M., Zytkowiak, R., Hale, C. and Karolewski, P. (2006) Tree Species Effects on Decomposition and Forest Floor Dynamics in a Common Garden. Ecology, 87, 2288-2297.
https://doi.org/10.1890/0012-9658(2006)87[2288:TSEODA]2.0.CO;2
[21]  Yashiro, Y., Lee, N.Y.M., Ohtsuka, T., Shizu, Y., Saitoh, T.M. and Koizumi, H. (2010) Biometric-Based Estimation of Net Ecosystem Production in a Mature Japanese Cedar (Cryptomeria japonica) Plantation beneath a Flux Tower. Journal of Plant Research, 123, 463-472.
https://doi.org/10.1007/s10265-010-0323-8

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133