Evaluation of the inter-species competition in the pure stands plantation using the competition index

Document Type : Complete scientific research article

Authors

1 1- Assistant Professor, Environmental Research Institute, Academic Center for Education, Culture and Research, Rasht, Iran.

2 Associate Professor/Department of Forestry/Ahar faculty of Agriculture and Natural Resources

Abstract

Background and Objectives: Many competitive models have been developed from simple to multidimensional in order to estimate the competition of trees in forest stands. All of them are measured to show the interaction between trees, and the purpose of these indices is to evaluate the competitive tension according to the interactions between trees. These indices are generally based on the morphological characteristics of trees or a function of the distance of the neighborhood of trees. The individual competition of trees evaluate using competition indices is based on mathematical techniques, which indicate the degree of competition that the tree is affected by its neighbors. This result is often assumed to be the negative effects of the neighborhood on the growth of trees to absorb limiting resources.
Materials and Methods: Distance-independent competition indices are usually considered as tree size ratios (such as dbh, height, basal area, or canopy cover) to show the competitiveness of that species. In distance-dependent indices, the dimensions of neighboring trees and their distance from each other are used. In order to calculate the competitive indices including distance-independent competition index (IDI), distance-dependent competition index by diameter (DDIdbh), and distance-dependent competition index by height (DDIh), the parameters of diameter and the total height of all trees were measured in sample plots (one-hectare area) in four stands of poplar plantation in Gilan province. The distance of the trees was also measured. Then, in order to calculate the wood density and use its value in the distance-independent competition index, 15 trees were randomly selected in different diameter classes in each plot and were cut to perform the wood density analysis, and the process of calculating the density was carried out.
Results: The results showed that the stands had significant competitive conditions in terms of both types of indices. All stands had a significant difference (p ≥ 0.05) in terms of the independent distance index. However, the comparison of the distance-dependent index for tree diameter showed that stand 3 has a significant difference from other stands, and 1, 3, and 4 stands also had significant differences (p ≥ 0.05). The comparison of the distance competition index for tree height also showed that stands 1 and 2 had no difference but showed a significant difference with stands 3 and 4 (p ≥ 0.05).
Conclusion: Calculating all types of competition indices can be useful in silvicultural programs such as thinning. The results of such studies can provide a clear understanding of the spatial structure of trees.

Keywords

Main Subjects


1.Hosseini, A., Hosseini, S. M., Rahmani, A., & Azadfar, D. (2014). Comparison between two oak stands (healthy and affected by oak decline) with respect to characteristics of competitive environments in Ilam province. Iranian J. of Forest and Poplar Research. 21 (4), 606-616. [In Persian]
2.Charipour, S., Abrari Vajari, K., & Soosani, J. (2018). Intra-specific competition of Persian Oak (Quercus brantii Var. persica) and its relationship with physiographic factors and fine root biomass (Case study: Ghalegol, Lorestan). Iranian J. of Forest. 10 (3), 307-317. [In Persian]
3.Zhang, Y., Deng, X., Huang, Y., Li, Y., Xiang, W., & Yan, W. (2019). Quantification of individual tree competition index taking Chinese-fir plantations in the subtropical low hilly area as an example. Polish J. of Ecology. 67 (1), 1-16.
4.Marques, L., Camarero, J. J., Zavala, M. A., Stoffel, M., Ballesteros-Cánovas, J.A., Sancho-García, C., & Madrigal-González, J. (2021). Evaluating tree-to-tree competition during stand development in a relict Scots pine forest: how much does climate matter? Trees. 35, 1207-1219.
5.Junior, I. M. L., Castro, R. V. O., Gaspar, R. O., Araújo, J. B. C. N., & Fabiana, G. A. (2019). Competition indexes to evaluate tree growth in a semi-deciduous seasonal forest. Floresta e Ambiente. 26 (4), 1-12.
6.Stadt, K. J., Huston, C., Coates, K. D., Feng, Z., Dale, M. R. T., & Liefferts, V. J. (2007). Evaluation of competition and light estimation indices for predicting diameter growth in mature boreal mixed forests. Annals of Forest Science. 64 (5), 477-490.
7.Mataji, A., Sheydaei, R., & Kiadaliri, H. (2018). Evaluation of competition indices to assess the effect of management interventions onoriental beech (Fagus orientalis Lipsky) forest of Lavij-Noor region, Mazandaran, province. Iranian
J. of Forest and Poplar Research.
26 (1), 81-92. [In Persian]
8.Shanin, V., Hökkä, H., & Grabarnik, P. (2021). Testing the performance of some competition indices against experimental data and outputs of spatially explicit simulation models. Forests. 12, 1-11.
9.Contreras, M. A., Affleck, D., & Chung, W. (2011). Evaluating tree competition indices as predictors of basal area increment in western Montana forests. Forest Ecology and Management. 262, 1939-1949.
10.Dehghan, M., Sefidi, K., & Sadeghi, S. M. M. (2021). Structure of mixed planted forests after management abandoning, J. of Wood and Forest Science and Technology. 27 (4), 97-112.
11.Versace, S., Gianelle, D., Frizzera, L., Tognetti, R., Garfì, V., & Dalponte, M. (2019). Prediction of competition indices in a Norway spruce and silver fir-dominated forest using Lidar data. Remote sensing. 11, 1-18.
12.Haidari, R. H., Khalati, K., & Salimikhah, N. (2021). Study of distance sampling methods for estimating quantitative characteristics of forest. The Quarterly Scientific J. of Applied Biology. 35 (3), 41-57.
13.Abedi, R., & Ostad Hashemi, R. (2021). Estimation of Density using Plotless Density Estimator Criteria in Arasbaran Forest. Ecology of Iranian Forests. 8 (16), 39-47.
14.Haidari, R. H. (2020). Presentation of a new Joint-point Sampling method estimator for tree density. J. of Forest Research and Development.6 (3), 505-517.
15.Abedi, R., & Abedi, T. (2017). Evaluation of nearest neighbor distance method for biodiversity estimation in Arasbaran forest ecosystem. Ecology of Iranian Forests. 5 (10), 61-69.
16.Haghani, A. S., Heidary, R. H., & Aghabeigi Ami, S. (2021). Study of the effect of forest stand spatial pattern on results of different estimators of the nearest individual distance method (Case study: in Forests of Chaharzbar Olia village in Kermanshah province). J. of Plant Ecosystem Conservation. 8 (17), 123-138.
17.Safari, M., Sefidi, K., Alijanpour, A., & Elahian, M. R. (2020). Efficiency evaluation of the plotless method methods for estimating the spatial structure of Persian oak (Quercus macranthera) stands in Arasbaran forests. J. of Forest Research and Development. 5 (4), 599-612.
18.Arora, G., Chaturvedi, S., Kaushal, R., Nain, A., Tewari, S., & Alam, N.M. (2014). Growth, biomass, carbon stocks, and sequestration in age series of Populus deltoides plantations in Tarai region of central Himalaya. Turkish J. of Agriculture and Forestry. 38, 550-560.
19.Mohammadi, Z., Mohammadi Limaei, S., Lohmander, P., & Olsson, L. (2017). Estimating the aboveground carbon sequestration and its economic value (case study: Iranian Caspian forests). J. of Forest Science. 63 (11), 511-518.
20.Metsaranta, J. M., & Bhatti, J. S. (2016). Evaluation of whole tree growth increment derived from tree-ring series for use in assessments of changes in forest productivity across various spatial scales. Forests. 7 (303), 1-11.
21.Henry, M., Besnard, A., Asante, W. A., Eshun, J., Adu-Bredu, S., Valentini, R., Bernoux M., & Saint-André, L. (2010). Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa. Forest Ecology and Management. 260, 1375-1388.
22.Kiaei, M. (2014). Investigation on wood properties of Eldar pine (Pinus eldarica Medw) and its relations to soil chemical and physical characteristics (in western Mazandaran province plantation). Iranian J. of Wood and Paper Science Research. 29 (2), 199-207. [In Persian] 
23.Abrari Vajari, K. (2020). Interaction between competition index and some features of broad-leaved trees in Hyrcanian forest (Case study: beech forest of Savadkoh-Mazandaran). Iranian J. of Forest. 12 (3), 349-357. [In Persian]
24.Forrester, D. I., Benneter, A., Bouriaud, O., & Bauhus, J. (2017). Diversity and competition influence tree allometric relationships – developing functions for mixed-species forests. J. of Ecology. 105, 761-774.
25.Feng, W., Jinhong, X., & Brazee, R. J. (2010). New development in study of the faustmann optimal forest harvesting. Chinese J. of Population, Resources and Environment. 8 (3), 38-43.
26.Proulx, S. R., Leduc, A., Thiffault, N., & Ameztegui, A. (2023). Tree size drives growth interactions in mixed mature stands of black spruce (Picea mariana) and tamarack (Larix laricina). Forest Ecology and Management. 543, 121150.
27.Tavankar, T., Rafie, H., Latterini, F., Nikooy, M., Senfett, M., Keivan Behjou, F., & Maleki, M. (2018). Growth parameters of Pinus nigra J.F. Arnold and Picea abies (L.) H. Karst. plantations and their impact on understory woody plants in above-timberline mountain areas in the north of Iran. J. of Forest Science. 64 (10), 416-426.
28.Condés, S., Pretzsch, H., & del Río, M. (2023). Species admixture can increase potential tree growth and reduce competition. Forest Ecology and Management. 539, 120997.
29.Huang, L., Pei, Y., Shao, M., Jia, X., Tang, X., Zhang, Y., & Pan, Y. (2023). Multi-species plantation intensifies soil water competition and groundwater depletion in a water-limited desert region. Forest Ecology and Management. 537, 120953.
30.Pretzsch, H., del Río, M., Arcangeli, C., Bielak, K., Dudzinska, M., Ian Forrester, D., Kohnle, U., Ledermann, T., Matthews, R., Nagel, R., Ningre, F., Nord-Larsen, T., Szeligowski, H., & Biber, P. (2023). Competition-based mortality and tree losses. An essential component of net primary productivity. Forest Ecology and Management.544, 121204.
31.Arzouma, S., Gbaguidi, R., Ayélo, G., Gildas Akueson, A. H., & Akossou, A. Y. J. (2023). Cutting height as a competition control factor in teak (Tectona grandis L.f) plantations in southern Benin. Heliyon. 9 (6), e17289.
32.Barbosa, O., Arcanjo dos Santos, J., Ataide Gonçalves, A. F., Campoe, O. C., Soares Scolforo, J. R., & Scolforo, H. F. (2023). Competition in forest plantations: Empirical and process-based modeling in pine and eucalypt plantations. Ecological Modelling. 483, 110410.
33.Rozendaal, D. M. A., Phillips, O. L., Lewis, S. L., Affum-Baffoe, K., Alvarez- Davila, E., Andrade, A., Aragão, L. E. O. C., Araujo-Murakami, A., Baker, T. R., Bánki, O., Brienen, R. J. W., Camargo, J. L. C., Comiskey, J. A., Djuikouo Kamdem, M. N., Fauset, S., Feldpausch, T. R., Killeen, T. J., Laurance, W. F., Laurance, S. G. W., Lovejoy, T., Malhi, Y., Marimon, B. S., Marimon Junior, B. H., Marshall, A. R., Neill, D. A., Núñez Vargas, P., Pitman, N. C. A., Poorter, L., Reitsma, J., Silveira, M., Sonké, B., Sunderland T., Taedoumg, H., Ter Steege, H., Terborgh, J. W., Umetsu, R. K., van der Heijden, G. M. F., Vilanova, E., Vos, V., White, L. J. T., Willcock, S., Zemagho, L., & Vanderwel, M. C. (2020). Competition influences tree growth, but not mortality, across environmental gradients in Amazonia and tropical Africa. Ecology. 101 (7), e03052.
34.Seifert, T., Seifert, S., Seydack, A., Durrheim, G., & Gadow, K. (2014). Competition effects in an afro-temperate forest. Forest Ecosystems. 1, 1-115.