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2024 | 55 | 258-270

Article title

Relationship Between Crown Cover and Biometric Characteristics of Neem (Azadirachta indica Linn) in Majia Fuelwood Reserve, Dange-Shuni, Sokoto State Nigeria

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Abstracts

EN
This research was conducted in order to examine the relationship between crown cover and biometric characteristics of Neem (Azadirachta indica) in Majia Fuelwood Reserve. Ten (10) sample plots (30×30m2) were marked and demarked at random covering both sides of the plantation. Plots were established 20m away from the boundary of the plantation avoiding edge effect. Data collected on individual trees include, DBH, DB, DM, DT and total height of each tree within the plot. The results of this study revealed, trees within 31-40 diameter class have the highest of crown yield metrics followed by 20-30, 51 above and 41- 50 having the lowest values, trees with 20-30m have the highest crown and yield metrics, followed by 11-20m, 31m above and the lowest was recorded among trees that are <10m in height. SLC results obtained show the majority of the trees have low (<70) and moderate (70<100) slenderness coefficient which shows that about (92%) of the trees are not likely to be overthrown by wind but few trees show high SLC which is about 8% of the total trees measured. Correlations among tree characteristics highlight consistent relationships where taller trees tend to exhibit longer crowns and larger crown projected areas. Diameter at Breast Height correlates positively with crown dimensions, indicating larger trunk diameters correspond to broader crowns. Additionally, slenderness coefficients increase with tree height and crown dimensions, potentially increasing vulnerability to wind damage. Basal area shows a strong positive association with tree and crown dimensions, reflecting larger trees having greater basal area. Finally, overall tree volume positively correlates with all measured variables, underscoring that larger dimensions contribute to greater stem volumes in trees. These patterns underscore the interconnected nature of tree morphology and its implications for forest dynamics and resilience.

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Year

Volume

55

Pages

258-270

Physical description

Contributors

  • Department of Forestry and Wildlife Management, Faculty of Agriculture, Bayero University Kano, Nigeria

References

  • [1] Adeyemi, A. A., Jimoh, S. O., and Adesoye, P. O. 2013. Crown ratio models for tropical rainforests species in Oban Division of the cross River National Park, Nigeria. Journal of Agriculture and Social Research (JASR), 13(1), 63 – 76
  • [2] Adeyemi, A.A. and Ugo-Mbonu, N.A. 2017. Tree Slenderness Coefficients and Crown Ratio Models for Gmelina Arborea (Roxb) Stand in Afi River Forest Reserve, Cross River State, Nigeria. Nigerian Journal of Agriculture, Food and Environment, 13(1): 226-233
  • [3] Avsar, M. D. 2004. The relationships between diameter at breast height, tree height and crown diameter in calabrian pines (Pinus brutia Ten.) of Baskonus Mountain, Kahramanmaras, Turkey. J. Biol. Sci. 4: 437- 440. Appl. For. 27:269-278.
  • [4] Bella, I.E. 1971. A new competition model for individual trees. J Forest Sci. 17: 364-372.
  • [5] Bragg, D.C. 2001. A local basal area adjustment for crown width prediction. North. J. Appl. For. 18:22-28.
  • [6] Cañadas, N. 2000. Pinus pinea L. en el Sistema Central (Valles delTiétar y del Alberche): desarrollo de un modelo de crecimiento y producción de piña. Ph.D. Dissertation, E.T.S.I. de Montes, Universidad Politécnica de Madrid.
  • [7] Ezenwenyi, J. U. and Chukwu, O. 2017. Models for estimating crown projection area from stump diameter for Tectona grandis Linn. f. in the tropical rainforests of Nigeria.
  • [8] Clark DA, Clark DB 1992 Life history diversity of canopy and emergent trees in a Neotropical rainforest. Ecol Monogr 62 (3): 315-344. DOI: http://dx.doi.org/10.2307/2937114.
  • [9] Colbert K.C, Larsen D.R and Lootens J.R 2002 Height-diameter equations for thirteen mid-western bottomland hardwood species. Nor J Appl. For., 19: 171–176.
  • [10] Dawkins, H.C., 1963. Crown diameters: their relation to bole diameter in tropical forest trees. Common. Forest. Rev., 42: 318- 333.
  • [11] Dubrasich, M.E., Hann, D.W. and Tappeiner, J.C. 1997. Methods for evaluating crown area profiles of forest stands. Can J Forest Res., 27: 385-392.
  • [12] Dubravac, T., Dekanic, J., Vrbek, B., Matosevic, D., Roth, V., Jakovljevic, T. and Zlatanov T. 2009. Crown volume in forest stands of pedunculate oak and common hornbeam. Period Biol. 111(4): 479-485.
  • [13] Eguakun, F.S. and Oyebade, B.A. 2015. Linear and nonlinear slenderness coefficient models for Pinus caribaea (Morelet) stands in Southwestern Nigeria. J Agricult Vet Sci. 8(3): 26-30.
  • [14] Fehrmann L, Lehtonen A, Kleinn C, Tomppo R 2008 Comparison of linear and mixed–effect regression models and a k-nearest neighbor approach for estimation of single-tree biomass. Can J Forest Res 38 (1): 1-9. DOI: http://dx.doi. org/10.1139/X07-119
  • [15] Goelz, J.C.G. 1996. Open-grown crown radius of eleven bottom-land hardwood species: prediction and use in assessing stocking. South J Appl Forestry. 20(3): 156-161.
  • [16] González- Sánches, M., Cañellas, I. and Montero, G. 2007. Generalized height-diameter and crown diameter prediction models for cork oak forests in Spain. Invest. Agrar: Sist. Recur. For., 16:76-88
  • [17] Gregoire Tg, Schabenberger O, Barrett Jp 1995 Linear modeling of irregularly spaced unbalanced, longitudinal data from permanent plot measurements. Can J Forest Res 25 (1): 137- 156. DOI: http://dx.doi.org/10.1139/x95-017
  • [18] Grote, H. 2003. Estimation of crown radii and crown projection area from stem size and tree position. Ann Forest Sci. 60: 393-402.
  • [19] Grote, R. A. 2002. Model for Individual Tree Development Based on Physiological Processes, Plant Biology, 4/2, pp 167–180.
  • [20] Hall, J.B. and Bada, S.O. 1979. The distribution and ecology of Obeche (Triplochiton scleroxylon). Journal of Ecology, 67: 543- 564
  • [21] Hann, D.W. 1997. Equations for predicting the largest crown width of stand-grown trees in Western Oregon. Forestry Research Laboratory, Reseach Contribution 17. Oregon State University, Corvallis.
  • [22] Hann, D.W. 1999. An adjustable predictor of crown profile for stand grown Douglas-fir trees. For. Sci., 45: 217-225.
  • [23] Hasenauer, H., and Monserud, R. A. 1996. A crown ratio model for Austrian forests. Forest ecology and management, 84(1-3), 49-60.
  • [24] Hilbert, D.R., Koeser, A.K., Roman, L.A., Hamilton, K., Landry, S.M., Hauer, R.J., Campanella, H., McLean, D., Andreu, M. and Perez, H., 2019. Development practices and ordinances predict inter-city variation in Florida urban tree canopy coverage. Landscape and Urban Planning, 190, p.103603.
  • [25] Hinze, W.H.F, Wessels, N.O. 2002. Stand stability in pines: an important silvicultural criterion for the evaluation of thinning and the development of thinning regimes: management paper. South Afr Forestry J. 196: 37-40.
  • [26] Ibrahim, M., Isah, A.D., Shamaki, S.B. and Audu. M. 2018. Carbon Stock Assessment in Majiya Fuelwood Reserve, Sokoto State- Nigeria. Journal of Scientific Research & Reports, 18(2): 1-12
  • [27] Ige P. O. and Komolafe O. O. 2022. Nonlinear tree crown ratio models in international Institute of Tropical Agriculture Forest, Ibadan. Journal of Research in Forestry, Wildlife & Environment, 14(1): 27 – 42
  • [28] Iwasa, Y, Cohen, D and Cohen, JAL. 1981. Tree height and crown shape as results of competitive games. J Theor Biol., 112: 279-297.
  • [29] Jennings, S., Brown, N. and Sheil. D. 1999. Assessing Forest Canopies and Understorey Illumination: Canopy Closure, Canopy Cover and Other Measures. Forestry: An International Journal of Forest Research, 72 (1): 59-74.
  • [30] Johnson, P.S., Shifley, S.R. and Rogers, R. 2002. The Ecology and Silviculture of Oaks. CAB International, Wallingford, United Kingdom, 489
  • [31] Kazimierz, K., Borzyszkowski, W. and Korzeniewicz, R. 2015. Slenderness of 35-year-old pines from a dominant stand as an indicator of stand stability. Forestry Lett. 108: 32-35.
  • [32] Kigomo, B.N. 1998. Morphological and growth characteristics in Brachyleana huillensis (Muhugu); some management considerations. Kenya J. Sci. (Series B), 11(1-2): 11-20
  • [33] Korhonen, L. 2011. Estimation of boreal forest canopy cover with ground measurements, statistical models and remote sensing. Dissertationes Forestales, 115, pp.1-56.
  • [34] Korhonen, L. and Heikkinen, J. 2009. Automated analysis of in situ canopy images for the estimation of forest canopy cover. Forest Science, 55(4), pp.323-334.
  • [35] Korhonen, L., and Morsdorf, F. 2014."Estimation of Canopy Cover, Gap Fraction and Leaf Area Index with Airborne Laser Scanning. Forestry Applications of Airborne Laser Scanning: Concepts and Case Studies, 27: 397.
  • [36] Korhonen, L., Korhonen., K.T., Rautiainen, M. and Stenberg, P. 2006. Estimation of forest canopy cover: a comparison of field measurement techniques. Silva Fennic. 2006; 40(4): 577-588.
  • [37] Lappi J, Bailey Rl 1988 A height prediction model with random stand and tree parameters: an alternative to traditional site index methods. Forest Sci 34 (4): 907-927
  • [38] Lei, X.D., Peng, C.H., Wang, H.Y. and Zhou, X.L. 2009. Individual height-diameter models for young black spruce (Picea mariana) and jack pine (Pinus banksiana) plantations in New Brunswick, Canada. For Chron, 85: 43–56.
  • [39] Leites, L. P., Robinson, A. P., & Crookston, N. L. 2009. Accuracy and equivalence testing of crown ratio models and assessment of their impact on diameter growth and basal area increment predictions of two variants of the Forest Vegetation Simulator. Canadian Journal of Forest Research, 39(3), 655-665.
  • [40] Leites, L.P. and Robinson, A.P. 2004. Improving taper equations of Loblolly Pine with crown dimensions in mixed effects modelling framework. Forest Sci. 50: 204-212.
  • [41] Li, Y., Wang, W., Zeng, W., Wang, J., and Meng, J. 2020. Development of Crown Ratio and Height to Crown Base Models for Masson Pine in Southern China. Forests, 11(11), 1216.
  • [42] Magney, T.S., Eitel, J.U., Griffin, K.L., Boelman, N.T., Greaves, H.E., Prager, C.M., Logan, B.A., Zheng, G., Ma, L., Fortin, E.A. and Oliver, R.Y., 2016. LiDAR canopy radiation model reveals patterns of photosynthetic partitioning in an Arctic shrub. Agricultural and Forest Meteorology, 221, pp.78-93.
  • [43] Mahdavi, A. and Aziz, J. 2020. Estimation of Semiarid Forest Canopy Cover Using Optimal Field Sampling and Satellite Data with Machine Learning Algorithms. Journal of the Indian Society of Remote Sensing, 48, pp.575-583.
  • [44] Mason, W.L. 2002. Are irregular stands more wind-firm? Forestry, 75(4): 347-355.
  • [45] McGaughey, R. J. 1997. Visualizing Forest Stand Dynamics Using the Stand Visualization System. Proceedings of the 1997 ACSM/ASPRS Annual Convention and Exposition. April 7-10. Seattle, 248 - 257.
  • [46] Monserud, R. A., and Sterba, H. 1996. A basal area increment model for individual trees growing in even-and uneven-aged forest stands in Austria. Forest ecology and management, 80 (1-3), 57-80.
  • [47] Navratil, S. 1996. Silvicultural systems for managing deciduous and mixed wood stands with white spruce understory. In: Silvicultural of temperate and boreal broadleaf-conifer mixture. Comeau PG, Thomas KD, eds. B.C. Ministry of Forests, Victoria. 35-46.
  • [48] Navratil, S. 1997. Wind damage in thinned stands. In Proceedings of a Commercial Thinning Workshop. October (pp. 17-18).
  • [49] Ola-Adams, B.A. 1999. Biodiversity inventory of Omo Biosphere Reserve, Nigeria. Country Report on Biosphere Reserves for Biodiversity Conservation and Sustainable Development in Anglophone Africa. (BRAAF) Project.
  • [50] Oladoye, A.O., Ige, P.O., Baurwa, N., Onilude, Q.A. and Animashaun, Z.T. 2020. Slenderness coefficient models for tree species in Omo biosphere reserve, South-western Nigeria. Tropical Plant Research 7(3): 609–618.
  • [51] Omijeh, J.E. 2022. Tree Growth Analysis as a Panacea for Sustainable Forest Management in Northeast Nigeria: Study of Lannea Kerstingii (Anacardiaceae). Journal of Sustainability and Environmental Management, 1(2), 182-187.
  • [52] Onilude, Q.A, Oyeleye, B, Julius, A.J., Oniroko, N.S., Jegede, O.C, Olayiwola, I.B. and Issa, K.I 2013. The Benefits and Challengee of Urban Greening. THE GREEN ECONOMY: Balancing Environmental sustainability and Livelihoods in an Emerging Economy. Paper presented at the 36th Annual Conference of the Forestry Association of Nigeria held in Uyo, Akwa Ibom State, Nigeria.
  • [53] Onilude, Q.A. 2019. Development and Evaluation of Linear and Non-Linear Models for Diameter at Breast Height and Crown Diameter of Triplochiton Scleroxylon (K. Schum) Plantations in Oyo State, Nigeria. IOSR Journal of Agriculture and Veterinary Science 12 (6): 47-52
  • [54] Oyebade, B.A. and Onyeoguzoro, T. 2017. Tree crown ratio model for Hevea Brasiliensis (A. Juss) plantation in Rubber Research Institute of Nigeria. WSN 70(2) (2017) 97-110
  • [55] Paulo. M.J, Stein, A. and Tomé, M. 2002. A spatial statistical analysis of cork oak competition in two Portuguese silvopastoral systems. Can. J. For. Res. 32, 1893-1903
  • [56] Popoola, F. S. and Adesoye, P. O. 2012. Crown ratio models for Tectona grandis (Linn. f) stands in Osho Forest reserve, Oyo State, Nigeria. Journal of forest and environmental science, 28(2), 63-67.
  • [57] Pretzsch, H., Biber, P. and Dursky, J. 2002. The single tree-based stand simulator SILVA: construction, application and evaluation, For. Ecol. Manage. 162, 3–21
  • [58] Rautiainen, M., P. Stenberg, and T. Nilson. 2005. "Estimating Canopy Cover in Scots Pine Stands." Silva Fennica 39 (1): 137-142
  • [59] Ritchie, M. W., and Hann, D. W. 1987. Equations for predicting height to crown base for fourteen tree species in southwest Oregon. For. Res. Lab. Pap. 50. Oregon State University, Forest Research Laboratory, Corvallis, Ore.
  • [60] S.E.R.C. 2014. Sokoto Energy Research Center: Usmanu Danfodiyo University Sokoto, Sokoto State
  • [61] Sharma, R. P., Vacek, Z. and Vacek, S. 2018. Generalized nonlinear mixed-effects individual tree crown ratio models for Norway spruce and European beech. Forests, 9(9), 555.
  • [62] Shimano, K.J. 1997. Analysis of the relationship between diameter at breast height and crown projection area using a new model. Forest Resource, 2: 237.
  • [63] Soares, P. and Tomé, M. 2001. A tree crown ratio prediction equation for eucalyptus
  • [64] Taravat, A. and Emadodin, I. 2021. Forest Canopy Mapping Using Synthetic Aperture Radar by Means of Pulse Coupled Neural Networks. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 3472-3474). IEEE.
  • [65] Tichý, L. 2016. Field test of canopy cover estimation by hemispherical photographs taken with a smartphone. Journal of vegetation science, 27(2), 427-435.
  • [66] Tomé, M., Coelho, M.B., Almeida, A. and Lopes, F. 2001. O modelo SUBER. Estrutura e equações utilizadas. Relatórios técnicocientíficos do GIMREF nº 2/2001, Centro de Estudos Florestais, Instituto Superior de Agronomia, Lisboa
  • [67] Tu, Y.H., Johansen, K., Phinn, S. and Robson, A. 2019. Measuring canopy structure and condition using multi-spectral UAS imagery in a horticultural environment. Remote Sensing, 11(3), 269.
  • [68] Utschig H. 1995. Analyzing the development of regeneration under crown cover: Inventory methods and results from 10 years ofobservation, in: Skovsgaard J.P., Burkhart H.E. (Eds.), IUFRO – Recent Advances in Forest Mensuration and Growth and Yield Research, Danish Forest and Landscape Research Institute/Ministry of Environment and Energy, Tampere, Finland, 234– 241.
  • [69] Vanclay, J.K. 1994. Modelling forest growth and yield. Applications to Mixed Tropical Forests. CAB International, Wallingford.
  • [70] Vrbek, B., Pila, I., Dubrava, T., Novotny, V. and Dekani, S. 2008. Effect of deposition substances on the quality ofthrough fall and soil solution of pedunculate oak andcommon hornbeam forest. Period Biol. 110: 269-275.
  • [71] Wykoff, W. R., Crookston, N. L., and Stage, A. R. 1982. UserTs guide to the Stand Prognosis Model. General Technical Report INT-133. Ogden, UT. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 112 pp.
  • [72] Zarnoch, S.J., Bechtold, W.A. and Stolte, K.W. 2004. Using crown condition variables as indicators of forest health. Canadian Journal of Forest Research, 34(5), 1057-1070.
  • [73] Zhang, Y. J. and Borders, B.E. 2004 Using a system mixed effects modeling method to estimate tree compartment biomass for intensively managed loblolly pines – an allometric approach. Forest Ecol Manag 194 (1-3): 145-157. DOI: http://dx.doi.org/10.1016/j.foreco.2004.02.012

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bwmeta1.element.psjd-5e3cd466-9b02-40ba-92f4-eeeae0f2a50b
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