A new approach to assessing competition from trees on Nelder wheels

Keywords: competition index, spacing, spatial structure, Eucalyptus, clones

Abstract

Aim of the study: To develop an index to describe the competition of trees of Eucalyptus spp. clones in different densities; also, to evaluate the productivity of the clones on Nelder wheels (NWs).

Area of study: Ten Eucalyptus spp. clones distributed in nine NWs, located in the northern state of Tocantins, Brazil.

Material and methods: A new competition index was formulated as the ratio of geometric areas and average cross-sectional areas of sampling units from different locations on the NW referenced to a unit taken in the center of it. Besides, two distance-dependent indices were tested to evaluate their performance in different spacings. The correlation between the competition indices and the variables height, diameter, volume and cross-sectional area, average distance and mortality percentage was evaluated. To check the difference in productivity between the clones we used MANOVA and discriminant analysis.

Main results: The Alba-Péllico index provides a better understanding of the competitive relationship between trees, as well as a better explanation of the competitive process in the NWs than the other indices evaluated. The variation in the basal area between the clones in the less dense locations, substantiates the characteristics of each clone or possible interferences of the location since in this condition they are free from the influence of spacing and competition. This shows that competition is more influential than other characteristics of sites and genotypes in the behavior in diameter, basal area and volume in the densest sites.

Research highlights: The characteristics of the Alba-Péllico index indicate good interpretation to understand the competitive relationship among trees since the results vary between 0 and 1, and the closer to zero the smaller or non-existence of competition.

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Author Biography

Franciele Alba, Federal University of Paraná, Dept. of Forest Science, Curitiba, Paraná
 
 

References

Aakala T, Fraver S, D'Amato AW, Palik BJ, 2013. Influence of competition and age on tree growth in structurally complex old-growth forests in northern Minnesota, USA. Forest Ecol Manage 308: 128-135. https://doi.org/10.1016/j.foreco.2013.07.057

Adame P, Río MD, Cañellas I, 2010. Modelling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands. Ann Forest Sci 67 (8): 810. https://doi.org/10.1051/forest/2010046

Affleck DLRA, 1998. Comparative study of spatial analysis methods for forestry Nelder experiments. Thesis. B.Sc. (Forest Science), Univ. British Columbia, Vancouver.

Assmann E, 1970.The principles of forest yield study. Pergamon Press, Oxford, 506 pp.

Begon M, Townsend CR, Harper JL, 2006. Ecology: from individuals to ecosystems, 4th ed., Blackwell Sci., Malden, USA, 100 pp.

Boyden S, Binkley D, Stape JL, 2008. Competition among Eucalyptus trees depends on genetic variation and resource supply. Ecology 89: 2850-2859. https://doi.org/10.1890/07-1733.1

Contreras MA, Affleck D, Chung W, 2011. Evaluating tree competition indices as predictors of basal area increment in western Montana forests. Forest Ecol Manage 262: 1939-1949. https://doi.org/10.1016/j.foreco.2011.08.031

Daniels RF, Burkhart HE, Clason TRA, 1984. Comparison of competition measures for predicting growth of loblolly pine trees. Can J Forest Res 16: 1230-1237. https://doi.org/10.1139/x86-218

Das A, Battles J, Stephenson NL, Van Mantgem PJ, 2011. The contribution of competition to tree mortality in old-growth coniferous forests. Forest Ecol Manage 261: 1203-1213. https://doi.org/10.1016/j.foreco.2010.12.035

Du H, Hu F, Zeng F, Wang K, Peng W, Zhang H, et al., 2017. Spatial distribution of tree species in evergreen-deciduous broadleaf karst forests in southwest China. Scientific Reports 7: 15664. https://doi.org/10.1038/s41598-017-15789-5

Freeman GH, 1964. The use of systematic design for a spacing trial with a tropical tree crop. Biometrics 20: 200-203. https://doi.org/10.2307/2527629

Glover GR, Hool JN, 1979. A basal area ratio predictor of loblolly pine plantation mortality. Forest Sci 25: 275-282.

Hegyi F, 1974. A simulation model for managing jack-pine stands. In: Growth models for tree and stand simulation; Fries J (ed.), pp: 74-90. Royal College of Forestry, Stockholm.

Hui G, Wanga Y, Zhang G, Zhao Z, Bai C, Liu W,2018. A novel approach for assessing the neighbourhood competition in two different aged forests. Forest Ecol Manage 422: 49-58. https://doi.org/10.1016/j.foreco.2018.03.045

Jane K, Gunsta V, Weisberga PJ, Yang J, Fanc Y, 2016. Do denser forests have greater risk of tree mortality: A remote sensing analysis of density-dependent forest mortality. Forest Ecol Manage 359: 19-32. https://doi.org/10.1016/j.foreco.2015.09.032

Jiang X, Huang JG, Cheng J, Dawson A, Stadt KJ, Comeau PG, Chenf HYH, 2018. Interspecific variation in growth responses to tree size, competition, and climate of western Canadian boreal mixed forests. Sci Total Environ 631-632: 1070-1078. https://doi.org/10.1016/j.scitotenv.2018.03.099

Kuehne C, Weiskittel AR, Waskiewicz J, 2019. Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States. Forest Ecol Manage 433: 205-216. https://doi.org/10.1016/j.foreco.2018.11.002

Looney CE, D'Amato AW, Palik BJ, Fraver S, Kastendick DN, 2018. Size-growth relationship, tree spatial patterns, and tree-tree competition influence tree growth and stand complexity in a 160-year red pine chrono sequence. Forest Ecol Manage 424: 85-94. https://doi.org/10.1016/j.foreco.2018.04.044

Luo Y, Chen HYH, 2011. Competition, species interaction and ageing control tree mortality in boreal forests. J Ecol 99(6): 1470-1480. https://doi.org/10.1111/j.1365-2745.2011.01882.x

Mabvurira D, Miina J, 2002. Individual-tree growth and mortality models for Eucalyptus grandis (Hill) Maiden plantations in Zimbabwe. Forest Ecol Manage 161: 231-245. https://doi.org/10.1016/S0378-1127(01)00494-7

Maleki K, Kiviste A, Korjus H, 2015. Analysis of individual tree competition effect on diameter growth of silver birch in Estonia. Forest Syst 24(2): e023. https://doi.org/10.5424/fs/2015242-05742

Moore JA, Budelsky CA, Schlesinger RC, 1979. A new index representing mortality. Forest Sci 25(2): 275-282.

Namkoong G, 1966. Aplication of Nelder's designs in tree improvement research. Southern Conf. on Forest Tree Improvement, Savannah. pp: 24-37.

Nelder JA, 1962. New kinds of systematic designs for spacing experiments. Biometrics 18: 283-307. https://doi.org/10.2307/2527473

Panetsos CP, 1980. Selection of new poplar clones under various spacings. Silvae Genetica 29: 130-135.

Parrott DL, Brinks JS, Lhotka JM, 2012. Designing Nelder wheel plots for tree density experiments. New Forests 43: 245-254. https://doi.org/10.1007/s11056-011-9278-4

Pavan BE, Paula RC, Perecin D, Scarpinati EA, Candido LS, 2014. Early selection in open-pollinated Eucalyptus families based on competition covariates. Pesq Agrop Bras 49(6): 483-492. https://doi.org/10.1590/S0100-204X2014000600010

Pavan, BE, Amaral, RG, César de Paula, R, de Lima, BM, Scarpinati, EA, 2019. Intra-and intergenotypic competition among commercial eucalyptus clones. Crop Breed Ap Biotec 19: 176-184. https://doi.org/10.1590/1984-70332019v19n2a25

Pavan BE, Amaral RG, Pupin S, Costa RML, Dias D da C, Scarpinati EA, de Paula RC, 2021. Competitive ability among Eucalyptus spp. commercial clones in Mato Grosso do Sul state. Forest Ecol Manage 494: 119297. https://doi.org/10.1016/j.foreco.2021.119297

Péllico Netto S, Brena DA, 1997. Inventário Florestal. Curitiba. 316 pp.

Pommerening A, Maleki K, 2014. Differences between competition kernels and traditional size-ratio based competition indices used in forest ecology. Forest Ecol Manage 331: 135-143. https://doi.org/10.1016/j.foreco.2014.07.028

Pretzsch H, 2009. Forest dynamics, growth, and yield. Springer Berlin/Heidelberg, 664 pp. https://doi.org/10.1007/978-3-540-88307-4

Prodan M, 1968. Forest biometrics. Pergamon Press, Oxford. 447 pp.

Resende RT, Alvaro AV, Soares AAB, Forrester DI, Marcatti GE, Santos AR dos, et al., 2018. Environmental uniformity, site quality and tree competition interact to determine stand productivity of clonal Eucalyptus. Forest Ecol Manage 410: 76-83. https://doi.org/10.1016/j.foreco.2017.12.038

Rouvinen S, Kuuluvainen T, 1997. Structure and asymmetry of tree crowns in relation to local competition in a natural mature Scots pine forest. Can J Forest Res 27: 890-902. https://doi.org/10.1139/x97-012

Silva FA, Péllico Netto S, Behling A, Marinheski AF, Ciqueira CC, 2020. Estimates of Prodan's sampling method applied to Nelder's systematic design. Floresta 50: 1585-1594. https://doi.org/10.5380/rf.v50i3.64837

Stage AR, 1973. Prognosis model for stand development. USDA Forest Service: Research Paper INT-137. https://doi.org/10.5962/bhl.title.69018

Tenzin J, Tenzin K, Hasenauer H, 2017. Individual tree basal area increment models for broadleaved forests in Bhutan. Forestry 90: 367-380. https://doi.org/10.1093/forestry/cpw065

Tomé M, Burkhart HE, 1989. Distance-dependent competition measures for predicting growth of individual trees. Forest Science 35:816-831.

Uhl E, Biber P, Ulbricht M, Heym M, Horváth T, Lakatos F, et al. 2015. Analysing the effect of stand density and site conditions on structure and growth of oak species using Nelder trials along and environmental gradient: experimental design, evaluation methods, and results. Forest Ecosyst 5: 2-19. https://doi.org/10.1186/s40663-015-0041-8

Vanclay JK, 2006. Experiment designs to evaluate inter- and intra-specific interactions in mixed plantings of forest trees. Forest Ecol Manage 233: 366-374. https://doi.org/10.1016/j.foreco.2006.05.034

Vanclay JK, Lamb D, Erskine PD, Cameron DM, 2013. Spatially explicit competition in a mixed planting of Araucaria cunninghamii and Flindersia brayleyana. Ann Forest Sci 70: 611-619. https://doi.org/10.1007/s13595-013-0304-x

Vettenranta J, 1999. Distance-dependent models for predicting the development of mixed coniferous forests in Finland. Silva Fennica 31: 51-72. https://doi.org/10.14214/sf.670

Weber P, Bugmann H, Fonti P, Rigling A, 2008. Using a retrospective dynamic competition index to reconstruct forest succession. Forest Ecol Manage 254: 96-106. https://doi.org/10.1016/j.foreco.2007.07.031

Weigelt A, Jolliffe P, 2003. Indices of plant competition. J Ecol 91: 707-720. https://doi.org/10.1046/j.1365-2745.2003.00805.x

Weiskittel AR, Hann DW, Kershaw Jr JA, Jerome K, Vanclay JK, 2011. Forest growth and yield modelling. Thomson Digital, Noida, India, 418 pp. https://doi.org/10.1002/9781119998518

Published
2022-03-09
How to Cite
Alba, F., Péllico, S., Behling, A., Marinheski-Filho, A., & Cerqueira , C. (2022). A new approach to assessing competition from trees on Nelder wheels. Forest Systems, 31(1), e004. https://doi.org/10.5424/fs/2022311-17913
Section
Research Articles