Modeling coarse woody debris volume in logged and unlogged forests in Central Amazon
DOI:
https://doi.org/10.5902/1980509848108Keywords:
Carbon, Dead wood, NecromassAbstract
Woody necromass represents about 20% of the carbon available in above-ground biomass in Amazonian forests, however its quantification is not a common activity in forestry studies. The aim of this paper was to modeling necromass volume in order to provide a tool for quantifying this component of vegetation in Amazonian forests. Data collect was carried out in 15 permanent plots allocated in a logged forest and 5 plots in an unlogged forest, both at Amazonas state, Brazil. The volume determination was done for fallen logs and piece of fallen logs from dead tree identified within the boundaries of the plot with a minimum diameter of 10 cm. The modeling was done by non-linear regression (Schumacher-Hall model), training of Artificial Neural Networks (ANN) and Support Vector Machine (SVM) in which the data were divided into 80% for fitting/training and 20% for testing. The modeling accuracy was assessed by these following indicators: correlation between estimated and observed volume, root of the mean square error in percentage and residual plot. A total of 1049 logs or pieces of fallen logs
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AGUIAR, D. R. et al. Adjustment of volumetric equations from fallen trees for analysis of the logging effect in the Tapajós National Forest, Pará, Brazil. Australian Journal of Basic and Applied Sciences, [s. l.], v. 11, n. 10, p. 48-59, 2017.
ANTONIO, I. C. Boletim agrometeorológico série anual: 2016: Estação Agroclimatológica da Embrapa Amazônia Ocidental na Rodovia AM-010, Km 29. [S. l.]: Embrapa Amazônia Ocidental, 2017. 60 p.
ARAÚJO, A. C. S. C. et al. Artificial Neural Networks with Skip Layer connections to estimate the volume of forest formations in the state of Minas Gerais. Australian Journal of Basic and Applied Sciences, [s. l.], v. 9, n. 36, p. 319-327, 2015.
BACCINI, A. et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, London, v. 2, p. 182-185, 2012.
COSTA FILHO, S. V. S. et al. Configuração de algoritmos de aprendizado de máquina na modelagem florestal: um estudo de caso na modelagem da relação hipsométrica. Ciência Florestal, Santa Maria, v. 29, n. 4, p. 1501-1515, 2019.
CHANG; C.; LIN, C. LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology. 2:27:1--27:27. [S. l.: s. n.], 2011. Available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm. Access: 20 abr. 2021.
CRUZ FILHO, D.; SILVA, J. N. M. Avaliação da quantidade de resíduos lenhosos em floresta não explorada e explorada com técnicas de redução de impactos, utilizando amostragem por linha interceptadora, no Médio Moju, Amazônia Oriental, Brasil. Acta Amazonica, Manaus, v. 39, n. 3, p. 527-532, 2009.
EGGLESTON, H. S. et al. Guidelines for National Greenhouse Gas Inventories. [S. l.]: IGES, 2006. v. 4.
FRAVER, S. et al. Woody debris volume depletion through decay: implications for biomass and carbon accounting. Ecosystems, [s. l.], v. 16, n. 7, p. 1262-1272, 2013.
FREITAS, F. C. Estoque de necromassa em floresta não manejada e manejada no estado do Amazonas. 2017. Dissertação (Mestrado em Ciências Florestais e Ambientais) - Universidade Federal do Amazonas, Manaus, 2017.
FREITAS, F. C.; AZEVEDO, C. P.; SOUZA, C. R. Estoque de necromassa em floresta não manejada e floresta manejada na Amazônia Central. Scientia Forestalis, Piracicaba, v. 47, n. 121, p. 13-23, 2019.
GIMENEZ, B. O. et al. Equações volumétricas para espécies comerciais madeireiras do sul do estado de Roraima. Scientia Forestalis, Piracicaba, v. 43, n. 106, p. 291-301, 2015.
HAYKIN, S. Redes neurais: princípios e prática. 2. ed. Porto Alegre: Bookman, 2001. 900 p.
HÉRAULT, B. et al. Modeling decay rates of dead wood in a neotropical forest. Oecologia, Berlin, v. 164, n. 1, p. 243-251, 2010.
HIGUCHI, F. G. et al. The use of Natural Fallen Trees in Mature Tropical Amazonian Forest for Volumetric Regression Analysis and Volume Equations Adjustment. Australian Journal of Basic and Applied Sciences, [s. l.], v. 9, n. 31, p. 342-348, 2015.
IBGE. Manual técnico da vegetação brasileira: sistema fitogeográfico, inventário das formações florestais e campestres, técnicas e manejo de coleções botânicas, procedimentos para mapeamentos. [S. l.], 2012. 271 p.
IBGE. Manual técnico de pedologia. [S. l.], 2015. 430 p.
LASSAUCE, A. et al. Deadwood as a surrogate for forest biodiversity: meta-analysis of correlations between deadwood volume and species richness of saproxylic organisms. Ecological Indicators, [s. l.], v. 11, n. 5, p. 1027-1039, 2011.
LIMA, A. J. N. Avaliação de um sistema de inventário florestal contínuo em áreas manejadas e não manejadas do estado do Amazonas. 2010. Tese (Doutorado em Ciências de Florestas Tropicais) – Instituto Nacional de Pesquisas da Amazônia, Manaus, 2010.
MIGUEL, E. P. et al. Redes neurais artificiais para a modelagem do volume de madeira e biomassa do cerradão com dados de satélite. Pesquisa Agropecuaria Brasileira, Brasília, v. 50, n. 9, p. 829-839, 2015.
MOREIRA, A. B.; GREGOIRE, T. G.; COUTO, H. T. Z. Estimation of the volume, biomass and carbon content of coarse woody debris within two forest types in the State of São Paulo, Brazil. Forestry, Edimburgo, v. 92, n. 3, p. 278-286, 2019a.
MOREIRA, A. B.; GREGOIRE, T. G.; COUTO, H. T. Z. Wood density and carbon concentration of coarse woody debris in native forests, Brazil. Forest Ecosystems, [s. l.], v. 6, n. 1, p. 6-18, 2019b.
ÖZÇELIK, R. et al. Estimating tree bole volume using artificial neural network models for four species in Turkey. Journal of Environmental Management, London, v. 91, n. 3, p. 742-753, 2010.
PALACE, M. et al. A Review of Above Ground Necromass in Tropical Forests. In: SUDARSHANA, P.; NAGESWARA-RAO, M.; SONEJI, J. R. Tropical Forests. [S. l.]: Intech, 2012. p. 215-252.
PAN, Y. et al. A large and persistent carbon sink in the world’s Forests. Science, [s. l.], v. 333, p. 988-993, 2011.
PIPONIOT, C. et al. Carbon recovery dynamics following disturbance by selective logging in Amazonian forests. eLife, Cambridge, v. 5, 2016.
RIBEIRO, R. B. S.; GAMA, J. R. V.; MELO, L. O. Seccionamento para cubagem e escolha de equações de volume para a Floresta Nacional do Tapajós. Cerne, Lavras, v. 20, n. 4, p. 605-612, 2014.
RUSSELL, B. M. et al. Quantifying carbon stores and decomposition in dead wood: a review. Forest Ecology and Management, Amsterdam, v. 350, p. 107-128, 2015.
RUSSELL, M. B. et al. Residence Times and Decay Rates of Downed Woody Debris Biomass/Carbon in Eastern US Forests. Ecosystems, [s. l.], n. 17, p. 765-777, 2014.
SAATCHI, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. PNAS, Washington, v. 108, n. 24, p. 9899-9904, 2011.
SCARANELLO, M. A. S. et al. Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar. Biogeosciences, [s. l.], v. 16, n. 17, p. 3457-3474, 2019.
SOUZA, C. R. et al. Dinâmica e estoque de carbono em floresta primária na região de Manaus/AM. Acta Amazonica, Manaus, v. 42, n. 4, p. 501-506, 2012.
SOUZA, M. A. S. et al. Dinâmica e produção de uma floresta sob regime de manejo sustentável na Amazônia Central. Floresta, Curitiba, v. 47, n. 1, p. 55-63, 2017.
SPIES, T. A. Forest structure: a key to the ecosystem. Northwest Science, Washington, v. 72, n. 2, 1998.
STEINWART, I.; CHRISTMANN, A. Support vector machines. [S. l.]: Springer, 2008. 466 p.
STOKLAND, J. N.; SIITONEN, J.; JONSSON, B. G. Biodiversity in dead wood. Cambridge: Cambridge University Press, 2012. 509 p.
TONINI, H.; BORGES, R. A. Equação de volume para espécies comerciais em Floresta Ombrófila Densa no sul de Roraima. Pesquisa Florestal Brasileira, Colombo, v. 35, n. 82, p. 111-117, 2015.
UMNOUYSIN, S.; SANGTIEAN, T.; POUNGPARN, S. Zonal distribution of coarse woody debris and its contribution to net primary production in a secondary mangrove forest. Ecological Research, Kyoto, v. 32, n. 1, p. 51-60, 2017.
ZANINOVICH, S. C.; FONTANA, J. L.; GATTI, M. G. Atlantic Forest replacement by nonnative tree plantations: comparing aboveground necromassa between native forest and pine plantation ecosystems. Forest Ecology and Management, Amsterdam, v. 363, p. 39-46, 2016.
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