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Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China

Received: 25 February 2015     Accepted: 25 February 2015     Published: 19 May 2015
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Abstract

Spatial nutrients that includes OM, Avail.K, Avail.P and TN distribution and the influences on vegetation patterns in Dalingshan was the cardinal focus of this study. Ecological data (moisture content, bulk density and topography) were considered. One way ANOVA was statistically tested of spatial distribution of major nutrients across 4 plots which indicated non significant at p = 0.05 level, TN (p = 0.0216), OM (p = 0.00004), Avail.K (p = 0.00216) respectively. Furthermore one way ANOVA was tested on acidity level (pH) measured against the nutrients distribution TN (p = 0.0031), OM (p = 0.0004), Avail.K (p = 0.0216) respectively at non significance level but available phosphorous was significantly different (p = 0.6412). The study revealed unique spatial patterns of soil nutrient distribution in Dalingshan and species abundance while vegetation census posed a new direction of study that may be adapted for a broad range of regional vegetation and floristic modeling. This paper suggests that forest soil nutrients and vegetation interaction can be utilized for further studies on multifactor ecosystem responses towards regional ecological restoration.

Published in Agriculture, Forestry and Fisheries (Volume 4, Issue 3-1)

This article belongs to the Special Issue Environment and Applied Science Management in a Changing Global Climate

DOI 10.11648/j.aff.s.2015040301.11
Page(s) 1-4
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Spatial Patterns, Soil Nutrient, Vegetation Cover, TWINSPAN, Dalingshan Guangdong Province China

References
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[3] Hicks, R. R. & Frank, P. S. 1984. Relationship of aspect to soil nu-trients, species importance and biomass in a forested watershed in West Virginia. Forest Ecol. Manag. 8: 281–291.
[4] Munn, L. C. & Vimmerstedt, J. P. 1980. Predicting height growth of yellow-poplar from soils and topography in southeastern Ohio. Soil Sci. Soc. Am. J. 44: 384–387
[5] Huebner, C.D., Randolph, J.C., & Parker, G.R. (1995). Environmental factors affecting understory diversity in second-growth deciduous forests. American Midland Naturalst, 134 (1). Retrieved January 21, 2006 from JSTOR database.
[6] Hutchins, R. L., Hill, J. D. & White, E. H. 1976. The influence of soils and microclimate on vegetation of forested slopes in eastern Kentucky. Soil Sci. 121: 234–241.
[7] Esteban G. Jobbagy and Robert B.Jackson (2000) The vertical distribution of soil organic carbon and its relation to climate and vegetation Ecological Applications, 10(2), 2000, pp. 423– 436 q
[8] Ben-Shahar, R. 1990. Soils, vegetation and herbivores in the Sabi-Sand Wildtuin, Transvaal, S.A. Ph.D. thesis, University of Oxford.
[9] Olivero Adele. M. and Hix David. M.: Influence of aspect and stand age on ground flora of South Eastern Ohio forest ecosystems. Plant ecology 139: 177 – 187. Kluwer Academic Publishers.
[10] Palmer M.W. and Dixon P.M. 1990, Small-scale environmental heterogeneity and the analysis of species distributions along gradients. Journal of Vegetation Science 1:57-65
[11] Jackson R. B. and Caldwell M.M. 1996. Integrating resource heterogeneity and plant plasticity: modeling nitrate and phosphate uptake in a patchy soil environment. Journal of Ecology 84: 891-903. b) Jackson R.B. and Caldwell M.M. 1993. The scale of nutrient heterogeneity around individual plants and its quantification with geostatistics, Ecology 74: 612-624.
[12] Brunet, J., Falkengren-grerup, U., Tyler, G., 1996. Herb layer vegetation of south Swedish beech and oak forests. Effects of management and soil acidity during one decade. Forest Ecology and Management 88, 259–272.
[13] Leuschner C, Hertel D (2003) Fine root biomass of temperate forests in relation to soil acidity and fertility, climate, age and species. Prog Bot 64:405–438.
[14] Pausas J. G., Austin, M. P., 2001; Patterns of plant species richness in relation to different environments: an appraisal. J. Veg. Sci 12, 153-166
[15] Christensen, M., Emborg. J., 1996; Biodiversity in natural versus managed forest in Denmark. For.Ecol.manage. 85; 47-51.
[16] Pausas J. G., Austin, M. P., 2001; Patterns of plant species richness in relation to different environments: an appraisal. J. Veg. Sci 12, 153-166.
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    Egbuche C. T., Su Zhiyoa, Anyanwu J. C., Onweremadu E. U., Nwaihu E. C., et al. (2015). Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China. Agriculture, Forestry and Fisheries, 4(3-1), 1-4. https://doi.org/10.11648/j.aff.s.2015040301.11

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    ACS Style

    Egbuche C. T.; Su Zhiyoa; Anyanwu J. C.; Onweremadu E. U.; Nwaihu E. C., et al. Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China. Agric. For. Fish. 2015, 4(3-1), 1-4. doi: 10.11648/j.aff.s.2015040301.11

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    AMA Style

    Egbuche C. T., Su Zhiyoa, Anyanwu J. C., Onweremadu E. U., Nwaihu E. C., et al. Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China. Agric For Fish. 2015;4(3-1):1-4. doi: 10.11648/j.aff.s.2015040301.11

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  • @article{10.11648/j.aff.s.2015040301.11,
      author = {Egbuche C. T. and Su Zhiyoa and Anyanwu J. C. and Onweremadu E. U. and Nwaihu E. C. and Umeojiakor A. O. and A. E. Ibe},
      title = {Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China},
      journal = {Agriculture, Forestry and Fisheries},
      volume = {4},
      number = {3-1},
      pages = {1-4},
      doi = {10.11648/j.aff.s.2015040301.11},
      url = {https://doi.org/10.11648/j.aff.s.2015040301.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.s.2015040301.11},
      abstract = {Spatial nutrients that includes OM, Avail.K, Avail.P and TN distribution and the influences on vegetation patterns in Dalingshan was the cardinal focus of this study. Ecological data (moisture content, bulk density and topography) were considered. One way ANOVA was statistically tested of spatial distribution of major nutrients across 4 plots which indicated non significant at p = 0.05 level, TN (p = 0.0216), OM (p = 0.00004), Avail.K (p = 0.00216) respectively. Furthermore one way ANOVA was tested on acidity level (pH) measured against the nutrients distribution TN (p = 0.0031), OM (p = 0.0004), Avail.K (p = 0.0216) respectively at non significance level but available phosphorous was significantly different (p = 0.6412). The study revealed unique spatial patterns of soil nutrient distribution in Dalingshan and species abundance while vegetation census posed a new direction of study that may be adapted for a broad range of regional vegetation and floristic modeling. This paper suggests that forest soil nutrients and vegetation interaction can be utilized for further studies on multifactor ecosystem responses towards regional ecological restoration.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Spatial Patterns of Nutrient Distribution in Dalingshan Forest Soil of Guangdong Province China
    AU  - Egbuche C. T.
    AU  - Su Zhiyoa
    AU  - Anyanwu J. C.
    AU  - Onweremadu E. U.
    AU  - Nwaihu E. C.
    AU  - Umeojiakor A. O.
    AU  - A. E. Ibe
    Y1  - 2015/05/19
    PY  - 2015
    N1  - https://doi.org/10.11648/j.aff.s.2015040301.11
    DO  - 10.11648/j.aff.s.2015040301.11
    T2  - Agriculture, Forestry and Fisheries
    JF  - Agriculture, Forestry and Fisheries
    JO  - Agriculture, Forestry and Fisheries
    SP  - 1
    EP  - 4
    PB  - Science Publishing Group
    SN  - 2328-5648
    UR  - https://doi.org/10.11648/j.aff.s.2015040301.11
    AB  - Spatial nutrients that includes OM, Avail.K, Avail.P and TN distribution and the influences on vegetation patterns in Dalingshan was the cardinal focus of this study. Ecological data (moisture content, bulk density and topography) were considered. One way ANOVA was statistically tested of spatial distribution of major nutrients across 4 plots which indicated non significant at p = 0.05 level, TN (p = 0.0216), OM (p = 0.00004), Avail.K (p = 0.00216) respectively. Furthermore one way ANOVA was tested on acidity level (pH) measured against the nutrients distribution TN (p = 0.0031), OM (p = 0.0004), Avail.K (p = 0.0216) respectively at non significance level but available phosphorous was significantly different (p = 0.6412). The study revealed unique spatial patterns of soil nutrient distribution in Dalingshan and species abundance while vegetation census posed a new direction of study that may be adapted for a broad range of regional vegetation and floristic modeling. This paper suggests that forest soil nutrients and vegetation interaction can be utilized for further studies on multifactor ecosystem responses towards regional ecological restoration.
    VL  - 4
    IS  - 3-1
    ER  - 

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Author Information
  • Department of Forestry and Wildlife Technology, Federal University of Technology Owerri, Imo State Nigeria

  • College of Forest Ecology, South China Agricultural University Guangzhou, China

  • Department of Environmental Technology, Federal University of Technology Owerri, Nigeria

  • Department of Soil Science Technology, Federal University of Technology Owerri, Nigeria

  • Department of Forestry and Wildlife Technology, Federal University of Technology Owerri, Imo State Nigeria

  • Department of Forestry and Wildlife Technology, Federal University of Technology Owerri, Imo State Nigeria

  • Department of Forestry and Wildlife Technology, Federal University of Technology Owerri, Imo State Nigeria

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