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Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K

Received: 8 October 2022     Accepted: 26 October 2022     Published: 29 December 2022
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Abstract

This research was done to assess effect of soil nutrients (N, P and K) on diameter at breast height (DBH), height and biodiversity. Three transect lines according to altitudinal gradient were established to systematically allocate the plot. Total 45 samples having 20m×25m were established to collect the biophysical data and soil samples. DBH and height of trees were recorded and soil samples were carried out in the lab. The Shannon –Weiner Index, Simpson Index and Evenness Index were analyzed. Nitrogen (N), Phosphorous (P) and Potash (K) was analyzed using Kjeldahl, Olsen’s and Somers and Flame photometric methods respectively. The Pearson’s correlation was performed to show the relation of DBH, height and biodiversity indexes with N, P and K. Descriptive statistics showed that the highest Mean±SE DBH (cm) was 50.75±4.61 in altitude<200m while this was the least 34.92±1.35 cm in altitude 200-400 m. The highest value of Shannon –Weiner index was 0.95 at altitude of <200m and lowest value was 0.47 at altitude of 200-400m. R square values of DBH vs. Nitrogen% at 10-20 cm depth was 0.033. Similarly, R square value of DBH vs. Phosphorous was more about 0.102 and 0.323 at 0-10 and 10-20 cm depth respectively. This R square value of Height vs. Phosphorus was 0.024 and 0.117 respectively. R square of height vs. Potash was 0.034 and 0.001 at 0-10 and 10-20 cm depths respectively. F-test showed that the correlation between Soil nutrient (N, P, K) and tree structures (DBH and Height) was insignificant at 95% confidence level since the p>0.05. However, t-test showed that, the intercept used in the equation was significant at 95% confidence level. R square value of H’ and N% was 0.001 and 0.008 at 0-10 and 10-20 cm soil depth respectively. Similarly, the R square value of H' vs. P (kg/ha) was 0.38 and 0.42 at 0-10 and 10-20 cm soil depth respectively. Moreover, the R square value of H' vs. K (kg/ha) was 0.36 and 0.01 respectively. This research will be useful to understand the effect of soil nutrients on DBH, height and soil nutrient in the forest according to altitudinal gradient.

Published in American Journal of Life Sciences (Volume 10, Issue 6)
DOI 10.11648/j.ajls.20221006.12
Page(s) 123-130
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), 2022. Published by Science Publishing Group

Keywords

Altitude, Soil Nutrients, DBH, Height, Biodiversity

References
[1] Beermann, F., Teltewskoi, A., Fiencke, C., Pfeiffer, E. M., & Kutzbach, L. (2015). Stoichiometric analysis of nutrient availability (N, P, K) within soils of polygonal tundra. Biogeochemistry, 122 (2), 211-227.
[2] Lang, T., Pan, L., Liu, B., Guo, T., & Hou, X. (2020). Vegetation characteristics and response to the soil properties of three medicinal plant communities in Altay Prefecture, China. Sustainability, 12 (24), 10306.
[3] Leckie, S., Vellend, M., Bell, G., Waterway, M. J., & Lechowicz, M. J. (2000). The seed bank in an old-growth, temperate deciduous forest. Canadian Journal of Botany, 78 (2), 181-192.
[4] Raj, A., Jhariya, M. K., Khan, N., Banerjee, A., & Meena, R. S. (2021). Ecological intensification for sustainable development. In Ecological intensification of natural resources for sustainable agriculture (pp. 137-170). Springer, Singapore.
[5] Ochoa, P. A. A., Fries, A., Mejía, D., Burneo, J. I., Ruíz-Sinoga, J. D., & Cerdà, A. (2016). Effects of climate, land cover and topography on soil erosion risk in a semiarid basin of the Andes. Catena, 140, 31-42.
[6] Chen, S., & Zha, X. (2016). Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China. Natural Hazards, 82 (3), 1589-1607.
[7] Gao, J., Wang, H., & Zuo, L. (2018). Spatial gradient and quantitative attribution of karst soil erosion in Southwest China. Environmental monitoring and assessment, 190 (12), 1-13.
[8] Tajik, S., Ayoubi, S., Khajehali, J., & Shataee, S. (2019). Effects of tree species composition on soil properties and invertebrates in a deciduous forest. Arabian Journal of Geosciences, 12 (11), 1-11.
[9] Sellan, G., Thompson, J., Majalap, N., & Brearley, F. Q. (2019). Soil characteristics influence species composition and forest structure differentially among tree size classes in a Bornean heath forest. Plant and Soil, 438 (1), 173-185.
[10] Reddy, C. S., Saranya, K. R. L., Pasha, S. V., Satish, K. V., Jha, C. S., Diwakar, P. G.,... & Murthy, Y. K. (2018). Assessment and monitoring of deforestation and forest fragmentation in South Asia since the 1930s. Global and Planetary Change, 161, 132-148.
[11] Tiwari, S., Singh, C., & Singh, J. S. (2018). Land use changes: a key ecological driver regulating methanotrophs abundance in upland soils. Energy, Ecology and Environment, 3 (6), 355-371.
[12] Thapa M. S., T. Bhattarai, R. P. Sharma, B. K. C, and L. Puri, “Analytical Study on Fertility Status and Soil Quality Index of Shorearobusta Forest, Central Nepal,” Tribhuvan Univ. J., vol. 33, no. 2, pp. 1–14, 2019, doi: 10.3126/tuj.v33i2.33560.
[13] Sang, W. (2009). Plant diversity patterns and their relationships with soil and climatic factors along an altitudinal gradient in the middle Tianshan Mountain area, Xinjiang, China. Ecological Research, 24 (2), 303-314.
[14] Begossi, A., 1996. Use of ecological methods in ethnobotany: diversity indices, Economic Botany, 50 (3): (280–289).
[15] Simpson, E. H. (1949). Measurement of diversity. Nature 163: 688.
[16] Odum, E. P. (1977). The emergence of ecology as a new integrative discipline. Science 195: 1289-1293.
[17] Kjeldahl J (1883) Neue Methode zur Bestimmung des Stickstoffs in organischen Körpern. Zeitschrift für analytische Chemie 22 (1): 366-383.
[18] Olsen, S. R. and Somers, L. E. 1982. Phosphorus. P. Methods of soil analysis. Chemical and microbiological properties. ASA, SSSA, Madison, Wisconsin, 403–430.
[19] Toth, S. J., & Prince, A. L. (1949). Estimation of cation-exchange capacity and exchangeable Ca, K, and Na contents of soils by flame photometer techniques. Soil Science, 67 (6), 439-446.
[20] Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International (P) Limited, Publishers, 4835/24, Ansari Road, Daryaganj, New Delhi - 110002 Visit us at www.newagepublishers.com
[21] Ensslin, A., Rutten, G., Pommer, U., Zimmermann, R., Hemp, A., & Fischer, M. (2015). Effects of elevation and land use on the biomass of trees, shrubs and herbs at Mount Kilimanjaro. Ecosphere, 6 (3), 1-15.
[22] Alrutz, M., Gómez-Díaz, J. A., Schneidewind, U., Krömer, T., & Kreft, H. (2022). Forest structural parameters and aboveground biomass in old-growth and secondary forests along an elevational gradient in Mexico. Botanical Sciences, 100 (1), 67-85.
[23] Poulos, H. M., & Camp, A. E. (2010). Topographic influences on vegetation mosaics and tree diversity in the Chihuahuan Desert Borderlands. Ecology, 91 (4), 1140-1151.
[24] Otieno, D., Li, Y., Ou, Y., Cheng, J., Liu, S., Tang, X., & Tenhunen, J. (2014). Stand characteristics and water use at two elevations in a sub-tropical evergreen forest in southern China. Agricultural and forest meteorology, 194, 155-166.
[25] FRA/DFRS. 2014. Churia Forests of Nepal (2011 – 2013). Babarmahal, Kathmandu: Forest Resource Assessment Nepal Project/Department of Forest Research and Survey.
[26] Gautam B, Mandal RA, Bhushal S, Badal D. Forest carbon dynamic according to altitudinal gradient in Nepal. Discovery, 2021, 57 (304), 361-371.
[27] Mandal R. A., Yadav B. K. V., Yadav K. K., Dutta I. C., and Haque S. M., 2013a. Biodiversity comparison of natural Shorea robusta mixed forest with Eucalyptus camaldulensis plantation in Nepal, Scholars Academic Journal of Biosciences (SAJB) 1 (50): 144-149.
[28] Mandal R. A., Dutta I. C., Jha P. K. and Karmacharya S. B., 2013b. Relationship between Carbon Stock and Plant Biodiversity in Collaborative Forests in Terai, Nepal, Hindawi Publishing Corporation ISRN Botany, Volume 2013, Article ID 625767, 7 pages http://dx.doi.org/10.1155/2013/625767
[29] Dinerstein, E., Joshi, A. R., Vynne, C., Lee, A. T. L., Pharand-Deschênes, F., França, M., & Olson, D. (2020). A “Global Safety Net” to reverse biodiversity loss and stabilize Earth’s climate. Science advances, 6 (36), eabb2824.
[30] Kunwar, R. M., Fadiman, M., Hindle, T., Suwal, M. K., Adhikari, Y. P., Baral, K., & Bussmann, R. (2020). Composition of forests and vegetation in the Kailash Sacred Landscape, Nepal. Journal of Forestry Research, 31 (5), 1625-1635.
[31] Ollinger, S. V., & Smith, M. L. (2005). Net primary production and canopy nitrogen in a temperate forest landscape: an analysis using imaging spectroscopy, modeling and field data. Ecosystems, 8 (7), 760-778.
[32] Yadav JN, Manjan SK (2007). Use of Biological Resources for Reclamation of River Damaged Land, Proceedings of National Seminar on Sustainable. Use of Biological Resources in Nepal 112-115.
[33] Baral SK (2008). Impacts of Forest Management on Selected Ecosystem Properties (A Case Study from a Community Forest and A Municipality Owned Forest in Midhills of Central Nepal, Thesis submitted in partial fulfillment of the requirement for the degree of MSc European Forestry. University of Natural Resources and Applied Life Sciences (BOKU) Vienna 66-68. National Seminar on Sustainable. Use of Biological Resources in Nepal 112-115.
[34] Schmidt, W. (2005). Herb layer species as indicators of biodiversity of managed and unmanaged beech forests. For. Snow Landsc. Res, 79 (1-2), 111-125.
[35] Buriánek, V., Novotný, R., Hellebrandová, K., & Šrámek, V. (2013). Ground vegetation as an important factor in the biodiversity of forest ecosystems and its evaluation in regard to nitrogen deposition. Journal of Forest Science, 59 (6), 238-252.
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  • APA Style

    Shreejana Panthi, Ram Asheshwar Mandal, Ajay Bhakta Mathema. (2022). Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K. American Journal of Life Sciences, 10(6), 123-130. https://doi.org/10.11648/j.ajls.20221006.12

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    ACS Style

    Shreejana Panthi; Ram Asheshwar Mandal; Ajay Bhakta Mathema. Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K. Am. J. Life Sci. 2022, 10(6), 123-130. doi: 10.11648/j.ajls.20221006.12

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    AMA Style

    Shreejana Panthi, Ram Asheshwar Mandal, Ajay Bhakta Mathema. Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K. Am J Life Sci. 2022;10(6):123-130. doi: 10.11648/j.ajls.20221006.12

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  • @article{10.11648/j.ajls.20221006.12,
      author = {Shreejana Panthi and Ram Asheshwar Mandal and Ajay Bhakta Mathema},
      title = {Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K},
      journal = {American Journal of Life Sciences},
      volume = {10},
      number = {6},
      pages = {123-130},
      doi = {10.11648/j.ajls.20221006.12},
      url = {https://doi.org/10.11648/j.ajls.20221006.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20221006.12},
      abstract = {This research was done to assess effect of soil nutrients (N, P and K) on diameter at breast height (DBH), height and biodiversity. Three transect lines according to altitudinal gradient were established to systematically allocate the plot. Total 45 samples having 20m×25m were established to collect the biophysical data and soil samples. DBH and height of trees were recorded and soil samples were carried out in the lab. The Shannon –Weiner Index, Simpson Index and Evenness Index were analyzed. Nitrogen (N), Phosphorous (P) and Potash (K) was analyzed using Kjeldahl, Olsen’s and Somers and Flame photometric methods respectively. The Pearson’s correlation was performed to show the relation of DBH, height and biodiversity indexes with N, P and K. Descriptive statistics showed that the highest Mean±SE DBH (cm) was 50.75±4.61 in altitude0.05. However, t-test showed that, the intercept used in the equation was significant at 95% confidence level. R square value of H’ and N% was 0.001 and 0.008 at 0-10 and 10-20 cm soil depth respectively. Similarly, the R square value of H' vs. P (kg/ha) was 0.38 and 0.42 at 0-10 and 10-20 cm soil depth respectively. Moreover, the R square value of H' vs. K (kg/ha) was 0.36 and 0.01 respectively. This research will be useful to understand the effect of soil nutrients on DBH, height and soil nutrient in the forest according to altitudinal gradient.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Correlation of Tree Diameter, Height and Biodiversity with Soil N, P and K
    AU  - Shreejana Panthi
    AU  - Ram Asheshwar Mandal
    AU  - Ajay Bhakta Mathema
    Y1  - 2022/12/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajls.20221006.12
    DO  - 10.11648/j.ajls.20221006.12
    T2  - American Journal of Life Sciences
    JF  - American Journal of Life Sciences
    JO  - American Journal of Life Sciences
    SP  - 123
    EP  - 130
    PB  - Science Publishing Group
    SN  - 2328-5737
    UR  - https://doi.org/10.11648/j.ajls.20221006.12
    AB  - This research was done to assess effect of soil nutrients (N, P and K) on diameter at breast height (DBH), height and biodiversity. Three transect lines according to altitudinal gradient were established to systematically allocate the plot. Total 45 samples having 20m×25m were established to collect the biophysical data and soil samples. DBH and height of trees were recorded and soil samples were carried out in the lab. The Shannon –Weiner Index, Simpson Index and Evenness Index were analyzed. Nitrogen (N), Phosphorous (P) and Potash (K) was analyzed using Kjeldahl, Olsen’s and Somers and Flame photometric methods respectively. The Pearson’s correlation was performed to show the relation of DBH, height and biodiversity indexes with N, P and K. Descriptive statistics showed that the highest Mean±SE DBH (cm) was 50.75±4.61 in altitude0.05. However, t-test showed that, the intercept used in the equation was significant at 95% confidence level. R square value of H’ and N% was 0.001 and 0.008 at 0-10 and 10-20 cm soil depth respectively. Similarly, the R square value of H' vs. P (kg/ha) was 0.38 and 0.42 at 0-10 and 10-20 cm soil depth respectively. Moreover, the R square value of H' vs. K (kg/ha) was 0.36 and 0.01 respectively. This research will be useful to understand the effect of soil nutrients on DBH, height and soil nutrient in the forest according to altitudinal gradient.
    VL  - 10
    IS  - 6
    ER  - 

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Author Information
  • School of Environmental Science and Management, Pokhara Univrsity, Kathmandu, Nepal

  • School of Environmental Science and Management, Pokhara Univrsity, Kathmandu, Nepal

  • School of Environmental Science and Management, Pokhara Univrsity, Kathmandu, Nepal

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