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Autoregressive spatial analysis and individual tree modeling as strategies for the management of Eremanthus erythropappus

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Abstract

The objectives of this study were to apply statistical techniques to discriminate fertilization treatments of Eremanthus erythropappus (DC.) MacLeish. through autoregressive modeling, and to develop individual tree models for diameter and crown area (CA) projection to define management strategies for candeia plantations subjected to different fertilization treatments. This is an important tree species originating from the Brazilian Atlantic Rain forest and Savannah biomes, intensively used in the cosmetic industry. Nonetheless, to date, research has not addressed the management of natural stands or plantations of the species. Our experiment was located in Baependi, Minas Gerais, Brazil, and comprised of four randomized blocks and 13 treatments. The treatments consisted of 12 different regimes of fertilization plus a control. Each sample plot was composed of 50 plants plus two border plants in a planting spacing of 2.5 × 2.0 m and undergoing pruning at 5 and 6 years of age. Starting in the second year, total tree height (H) and circumference (at 1.30 m from the ground or breast height, CBH) were measured every 6 months. Starting in the fifth year CA was measured. Tree growth varied by fertilization strategy. Differences were detected by using an autoregressive approach, considering that standard statistical methods were not powerful enough to detect significant differences. Three growth groups were formed, and maximum growth was obtained for treatment 10 (NPK, 8-28-16). Management guidelines are provided based on individual tree models for different fertilization levels.

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Acknowledgments

The authors are grateful to the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), the Instituto Estadual de Florestas (IEF), the Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA), Ministério do Meio Ambiente (MMA) and Citróleo® for supporting and/or partially funding this work.

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Authors and Affiliations

  1. Department of Forest Science, Federal University of Lavras, PO Box: 3037, Lavras, MG, 37200-000, Brazil

    Henrique Ferraço Scolforo, José Roberto Soares Scolforo, José Marcio de Mello, Antônio Carlos Ferraz Filho, Thiza Falqueto Altoé & Antônio Donizette Oliveira

  2. Department of Statistics, State University of Maringá, Av. Colombo 5.790, Jd. Universitário, Bloco E90, Maringá, PR, 87020-900, Brazil

    Diogo Francisco Rossoni

  3. Department of Statistics, Federal University of Lavras, PO Box: 3037, Lavras, MG, 37200-000, Brazil

    Renato Ribeiro de Lima

Authors
  1. Henrique Ferraço Scolforo
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  2. José Roberto Soares Scolforo
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  3. José Marcio de Mello
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  4. Antônio Carlos Ferraz Filho
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  5. Diogo Francisco Rossoni
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  6. Thiza Falqueto Altoé
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  7. Antônio Donizette Oliveira
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  8. Renato Ribeiro de Lima
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Corresponding author

Correspondence to José Roberto Soares Scolforo.

Additional information

Project funding: This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), the Instituto Estadual de Florestas (IEF), the Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA), Ministério do Meio Ambiente (MMA) and Citróleo®.

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Corresponding editor: Chai Ruihai

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Scolforo, H.F., Scolforo, J.R.S., de Mello, J.M. et al. Autoregressive spatial analysis and individual tree modeling as strategies for the management of Eremanthus erythropappus . J. For. Res. 27, 595–603 (2016). https://doi.org/10.1007/s11676-015-0185-y

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