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Tytuł artykułu

Temporal and Spatial Patterns of Aboveground Biomass and Its Driving Forces in a Subtropical Forest : A Case Study

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The accurate characterization of aboveground biomass (AGB) dynamics and their driving forces in sub-tropical forests is important to evaluate AGB's contribution to global carbon stocks. In order to estimate the effects of local variables on temporal and spatial patterns of AGB we investigated the variation of AGB in a 20-ha sub-tropical permanent plot. We found that the AGB was 153.7 Mg ha-1 in 2005, and 149.3 Mg ha-1 in 2010. During the five-year period, AGB changed due to tree mortality, growth (diameter at breast height, DBH) and recruitment. Medium-sized trees (DBH: 30-50 cm) were the largest contributor to total AGB. Both the tree species diversity index and the number of individuals within medium (DBH: 30-50 cm) and large (DBH: >50 cm) DBH ranges had significant positive effects on AGB. In addition, the abiotic factors such as elevation, slope, and convexity had negative significant relationships with AGB. The results indicate the importance of including forest community characteristics and environmental variables in forest carbon studies. This study also provides important data that can be used to develop and validate carbon cycling models for old-growth sub-tropical forests.
Rocznik
Strony
95--104
Opis fizyczny
Bibliogr. 39 poz., mapa, tab., wykr.
Twórcy
autor
  • Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
  • The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China
autor
  • Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
  • The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China
autor
  • Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
  • The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China
autor
  • Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
  • The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China
autor
  • Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, P. R. China
autor
  • Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, P. R. China
Bibliografia
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  • 5. Culmsee H., Leuschner C., Moser G. 2010 – Forest aboveground biomass along an elevational transect in Sulawesi, Indonesia, and the role of Fagaceae in tropical montane rain forests – J. Biogeogr. 37: 960-974.
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  • 14. Liu S., Luo Y., Huang Y. 2007 – Studies on the community biomass and its allocations of five forest types in Dinghushan Nature Reserve – Ecol. Sci. 26: 387-393 (in Chinese, English summary).
  • 15. Liu Y. C., Yu G. R., Wang Q. F. 2014 – How temperature, precipitation and stand age control the biomass carbon density of global mature forests – Glob. Ecol. Biogeogr. 23: 323-333.
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  • 18. Mao Z., Wang Y., Jourdan C. 2015 – Characterizing above-and belowground carbon partitioning in forest trees along an altitudinal gradient using area-based indicators – Arctic Antarct. Alpine Res. 47: 59-69.
  • 19. Marin-Spiotta E., Sharma S. 2013 – Carbon storage in successional and plantation forest soils: a tropical analysis – Glob. Ecol. Biogeogr. 22: 105-117.
  • 20. McEwan R. W., Lin Y. C., Sun I. F. 2011 – Topographic and biotic regulation of aboveground carbon storage in subtropical broad-leaved forests of Taiwan – For. Ecol. Manage. 262: 1817-1825.
  • 21. McGarvey J. C., Thompson J. R., Epstein H. E. 2015 – Carbon storage in old-growth forests of the Mid-Atlantic: toward better understanding the eastern forest carbon sink – Ecology, 96: 311-317.
  • 22. Midgley J. J., Niklas K. J. 2004 – Does disturbance prevent total basal area and biomass in indigenous forests from being at equilibrium with the local environment? – J. Trop. Ecol. 20: 595-597.
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  • 26. Seedre M., Kopacek J., Janda P. 2015 – Carbon pools in a montane old-growth Norway spruce ecosystem in Bohemian Forest: Effects of stand age and elevation – For. Ecol. Manage. 346: 106-113.
  • 27. Shen Y., Santiago L. S., Ma L. 2013 – Forest dynamics of a subtropical monsoon forest in Dinghushan, China: recruitment, mortality and the pace of community change – J. Trop. Ecol. 29: 131-145.
  • 28. Shirima D. D., Totland O., Munishi P. K. T. 2015 – Relationships between tree species richness, evenness and aboveground carbon storage in montane forests and miombo woodlands of Tanzania – Basic Appl. Ecol. 16: 239-249.
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  • 30. Slik J. W. F., Paoli G., McGuire K. 2013 – Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics – Global Ecol. Biogeogr. 22: 1261-1271.
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  • 35. Wen D., Wei P., Kong G. 1997 – Biomass study of the community of Castanopsis chinensis + Cryptocarya concinna + Schima supera in a Southern China reserve – Acta Ecol. Sinica. 17: 497-504 (in Chinese, English summary).
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  • 37. Yuan Z. Q., Gazol A., Lin F. 2013 – Soil organic carbon in an old-growth temperate forest: Spatial pattern, determinants and bias in its quantification – Geoderma, 195: 48-55.
  • 38. Zhang H., Song T. Q., Wang K. L. 2015 – Bio-geographical patterns of forest biomass allocation vary by climate, soil and forest characteristics in China – Environ. Res. Lett. 10 (4).
  • 39. Zhang Y., Chen H. Y., Reich P. B. 2012 – Forest productivity increases with evenness, species richness and trait variation: a global meta-analysis - J. Ecol. 100: 742-749.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7666bdd2-479e-4758-8158-b7c370d89ccf
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