ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA
DOI:
10.31413/nat.v11i3.14821Keywords:
altura de árvores, competitividade, comportamento sigmoidal, relação funcionalAbstract
This work aimed to evaluate distance-independent competition indices and to present the most suitable to represent competitiveness in different height strata in an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in lower, middle and upper strata of the forest fragment. IC2 competition index, which relates DBH of the objective tree with that from the average of competing trees, was the predictor that resulted in accurate equations for biometric estimation. Logistic model satisfactorily fitted the problem, more specifically in biometric prediction using competition indices as predictor variables. It is concluded that, for the study site, IC2 competition index is indicated for analyzes on the relationship between competitiveness and biometric aspects in different height strata.
References
BIANCHI, S.; HUUSKONEN, S.; SIIPILEHTO, J.; HYNYNEN, J. Differences in tree growth of Norway spruce under rotation forestry and continuous cover forestry. Forest Ecology and Management, v. 458, p. e117689, 2020. https://doi.org/10.1016/j.foreco.2019.117689
CAMPOS, J. C. C.; LEITE, H. G. Mensuração florestal: perguntas e respostas. 5 ed. Viçosa: Editora UFV, 2017. 636p.
CAO, L.; COOPS, N. C.; SUN, Y.; RUAN, H.; WANG, G.; DAI, J.; SHE, G. Estimating canopy structure and biomass in bamboo forest using airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, v. 148, p. 114-129, 2019. https://doi.org/10.1016/j.isprsjprs.2018.12.006
CASTRO, R.; SOARES, C.; LEITE, H. G.; SOUZA, A.; MARTINS, F.; NOGUEIRA, G. S.; SILVA, M. O. F. Competição em nível de árvore individual em uma floresta estacional semidecidual. Silva Lusitana, v. 22, n. 1, p. 43-66, 2014.
CLIMATE-DATA.ORG. Clima: São João Evangelista. Disponível em: <https://pt.climate-data.org/location/175926/>. Acesso em: 25 ago 2023.
CONAMA_Conselho Nacional do Meio Ambiente. Portaria nº 392, de 25 de junho de 2007. Definição de vegetação primária e secundária de regeneração de Mata Atlântica no Estado de Minas Gerais. Disponível em: <http://www.siam.mg.gov.br/sla/download.pdf?idNorma=6991>. Acesso em: 25 ago 2023.
CURTO, R. D. A.; MATTOS, P. P.; BRAZ, E. M.; CANETTI, A.; PÉLLICO NETTO, S. Effectiveness of competition indices for understanding growth in an overstocked stand. Forest Ecology and Management, v. 477, e118472, 2020. https://doi.org/10.1016/j.foreco.2020.118472
FISCHER, R.; KNAPP, N.; BOHN, F. J.; SHUGART, H. H.; HUTH, A. The relevance of forest structure for biomass and productivity in temperate forests: new perspectives for remote sensing. Surveys in Geophysics, v. 40, P. 709-734, 2019. https://doi.org/10.1007/s10712-019-09519-x
FUKUMOTO, K.; NISHIZONO, T.; KITAHARA, F.; HOSODA, K. Evaluation of individual distance-independent diameter growth models for Japanese cedar (Cryptomeria japonica) trees under multiple thinning treatments. Forests, v. 11, n. 3, p. 1-13, 2020. https://doi.org/10.3390/f11030344
CETEC_Fundação Centro Tecnológico de Minas Gerais. Desenvolvimento de equações volumétricas aplicáveis ao manejo sustentado de florestas nativas do estado de Minas Gerais e outras regiões do país. Belo Horizonte: CETEC, 1995. 295p.
GLOVER, G. R.; HOOL, J. N. A basal area ratio predictor of loblolly pine plantation mortality. Forest Science, v. 25, n. 2, p. 275-282, 1979. https://doi.org/10.1093/forestscience/25.2.275
HAMMER, B.; FRASCO, M. Metrics: evaluation metrics for machine learning. Disponível em: <https://CRAN.R-project.org/package=Metrics>. Acesso em: 25 ago 2023.
HILL, S.; LATIFI, H.; HEURICH, M.; MÜLLER, J. Individual-tree and stand-based development following natural disturbance in a heterogeneously structure forest: a LiDAR-based approach. Ecological Informatics, v. 38, p. 12-25, 2016. https://doi.org/10.1016/j.ecoinf.2016.12.004
HUI, G.; ZHANG, G.; ZHAO, Z.; YANG, A. Methods of forest structure research: a review. Current Forestry Reports, v. 5, p. 142-154, 2019. https://doi.org/10.1007/s40725-019-00090-7
KRŮČEK, M.; TROCHTA, J.; CIBULKA, M.; KRÁL, K. Beyond the cones: how crown shape plasticity alters aboveground competition for space and light – evidence from terrestrial laser scanning. Agricultural and Forest Meteorology, v. 264, p. 188-199, 2019. https://doi.org/10.1016/j.agrformet.2018.09.016
LHOTKA, J. M.; LOEWENSTEIN, E. F. An individual-tree diameter growth model for managed uneven-aged oak-shortleaf pine stands in the Ozark Highlands of Missouri, USA. Forest Ecology and Management, v. 261, n. 3, p. 770-778, 2011. https://doi.org/10.1016/j.foreco.2010.12.008
LAFETÁ, B. O.; MADUREIRA, N. F. S.; SANTOS, M. A.; PIMENTA, I. A.; BARBOSA, G. P.; FONTAN, I. C. I.; VIEIRA, D. Raio de competição entre árvores em um fragmento de Mata Atlântica sob recuperação florestal. Revista Forestal Mesoamericana Kurú, v. 20, n. 47, p. 55-62, 2023. https://10.18845/rfmk.v20i47.6823
LORIMER, C. G. Tests of age-independent competition indices for individual trees in natural hardwood stands. Forest Ecology and Management, v. 6, p. 343-360, 1983. https://doi.org/10.1016/0378-1127(83)90042-7
LUSTOSA JÚNIOR, I. M.; CASTRO, R. C. O.; GASPAR, R. O.; ARAÚJO, J. B. C. N.; AQUINO, F. G. Competition indexes to evaluate tree growth in a semi-deciduous seasonal forest. Floresta e Ambiente, v. 26, n. 4, p. 1-12, 2019. https://doi.org/10.1590/2179-8087.010716
MA, Q.; SU, Y.; TAO, S.; GUO, Q. Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California. International Journal of Digital Earth, v. 11, n. 5, p. 485-503, 2017. https://doi.org/10.1080/17538947.2017.1336578
MENSAH, S.; TOIT, B.; SEIFERT, T. Diversity–biomass relationship across forest layers: implications for niche complementarity and selection effects. Oecologia, v. 187, p 783-795, 2018. https://doi.org/10.1007/s00442-018-4144-0
MINATTI, M.; SANQUETTA, C. R.; NETTO, S. P.; CORTE, A. P. D. Índices de competição dependentes da distância para Araucaria angustifólia em São João do Triunfo – PR. Brazilian Journal of Biosystems Engineering, v. 13, n. 3, p. 187-194, 2019. https://doi.org/10.18011/bioeng2019v13n3p187-194
R CORE TEAM. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. 2022.
RODRÍGUEZ-RONDEROS, M. E.; BOHRER, G.; SANCHEZ-AZOFEIFA, A.; POWERS, J. S.; SCHNITZER, S. A. Contribution of lianas to plant area index and canopy structure in a Panamanian forest. Ecology, v. 97, n. 12, p. 3271-3277, 2016. https://doi.org/10.1002/ecy.1597
SCHONS, C. T.; FIGUEIREDO FILHO, A.; SANTOS, T. L.; NASCIMENTO, R. G. M. Índices de competição em nível de árvore individual para espécies da floresta ombrófila mista. Scientia Forestalis, v. 48, n. 128, e3275, 2020. https://doi.org/10.18671/scifor.v48n128.13
SCOLFORO, J. R. S.; THIERSCH, C. R. Biometria Florestal: medição, volumetria e gravimetria. Lavras: UFLA/FAEPE. 2004. 285p.
SIRAMI, E. V.; MARSONO, D.; SADONO, R.; IMRON, M. A. Ideal planting space for merbau (Intsia bijuga) forest plantations in Papua based on distance-dependent competition. Biodiversitas, v. 19, n. 6, p. 2219-2231, 2018. https://doi.org/10.13057/biodiv/d190630
STAGE, A. R. Prognosis model for stand development (Research Paper, No. INT-137). Madison: USDA Forest Service, 1973. http://dx.doi.org/10.5962/bhl.title.69018
SUMNALL, M.; FOX, T. R.; WYNNE, R. H.; THOMAS, V. A. Mapping the height and spatial cover of features beneath the forest canopy at small-scales using airborne scanning discrete return Lidar. ISPRS Journal of Photogrammetry and Remote Sensing, v. 133, p. 186-200, 2017. https://doi.org/10.1016/j.isprsjprs.2017.10.002
TAIZ, L.; ZEIGER, E.; MOLLER, I.; MURPHY, A. Fisiologia e desenvolvimento vegetal. 6 ed. Porto Alegre: Artmed, 2017. 888p.
TENZIN, J.; TENZIN, K.; HASENAUER, H. Individual tree basal area increment models for broadleaved forests in Bhutan. Forestry, v. 90, p. 367-380, 2017. https://doi.org/10.1093/forestry/cpw065
THOM, D.; KEETON, W. S. Stand structure drives disparities in carbon storage in northern hardwood-conifer forests. Forest Ecology and Management, v. 442, p. 10-20, 2019. https://doi.org/10.1016/j.foreco.2019.03.053
TOMÉ, M.; BURKHART, H. E. Distance-dependent competition measures for predicting growth of individual trees. Forest Science, v. 35, n. 3, p. 816-831, 1989. https://doi.org/10.1093/forestscience/35.3.816
TRINDADE, R. N. R.; LAFETÁ, B. O.; AGUIAR, V. F.; SILVA, A. G.; FERRARO, A. C.; PENIDO, T. M. A.; VIEIRA, D. S. Morfometria da copa de povoamentos de Eucalyptus grandis Hill ex Maiden × E. urophylla S. T. Blake em diferentes espaçamentos de plantio. Scientia Forestalis, v. 47, n. 121, p. 83-91, 2019. https://dx.doi.org/10.18671/scifor.v47n121.08
VERSACE, S.; GIANELLE, D.; FRIZZERA, L.; TOGNETTI, R.; GARFI, V.; DALPONTE, M. Prediction of competition indices in a Norway spruce and silver fir-dominated forest using LiDAR data. Remote Sensing, v. 11, p. 18, 2019. https://doi.org/10.3390/rs11232734
YANG, Y.; HUANG, S. Effects of competition and climate variables on modelling height to live crown for tree boreal tree species in Alberta, Canada. European Journal of Forest Research, v. 137, p. 153-167, 2018. https://doi.org/10.1007/s10342-017-1095-7
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Nativa
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright for articles published in this journal are the authors, with first publication rights granted to the journal. The journal shows open access, and articles are free to use, with proper attribution, in educational and non-commercial.
The articles published in this journal may be reproduced in part or used as a reference by other authors, provided that the source is quoted.
