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Research ArticleArticles

Energy Potential of Urban Tree Pruning Waste

Débora Pagliuso, Camila Prado Cenciani de Souza, Aline Gloria Felix, Rose Mary Garcia Skelton Celidonio, Liliane Id, Alexandre Luiz Cavalcanti Valdez, Adriana Grandis, Edgard Bastos de Freitas Back Silva, Pamela Cezar Oliveira and Aline A. Cavalari
Arboriculture & Urban Forestry (AUF) March 2025, jauf.2025.008; DOI: https://doi.org/10.48044/jauf.2025.008
Débora Pagliuso
Department of Botany, University of São Paulo, São Paulo, Brazil
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Camila Prado Cenciani de Souza
Specialization in Urban Afforestation, Federal University of São Paulo, Diadema, São Paulo, Brazil, Secretariat of Environment and Agriculture of the City of Itatiba, São Paulo, Brazil
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Aline Gloria Felix
Department of Botany, University of São Paulo, São Paulo, Brazil
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Rose Mary Garcia Skelton Celidonio
Specialization in Urban Afforestation, Federal University of São Paulo, Diadema, São Paulo, Brazil, Secretariat of Environmental Management of the City of Louveira, São Paulo, Brazil
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Liliane Id
Specialization in Urban Afforestation, Federal University of São Paulo, Diadema, São Paulo, Brazil, Secretariat of Public Works and Services of the Subprefecture of Mooca, São Paulo, Brazil
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Alexandre Luiz Cavalcanti Valdez
Specialization in Urban Afforestation, Federal University of São Paulo, Diadema, São Paulo, Brazil, Secretariat of Public Works and Services of the Subprefecture of Mooca, São Paulo, Brazil
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Adriana Grandis
Department of Botany, University of São Paulo, São Paulo, Brazil
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Edgard Bastos de Freitas Back Silva
Department of Ecology and Evolutionary Biology, Federal University of São Paulo, Diadema, São Paulo, Brazil
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Pamela Cezar Oliveira
Department of Ecology and Evolutionary Biology, Federal University of São Paulo, Diadema, São Paulo, Brazil
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Aline A. Cavalari
Specialization in Urban Afforestation, Department of Ecology and Evolutionary Biology, Federal University of São Paulo, Diadema, São Paulo, Brazil
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    Figure 1.

    Starch levels of pruning tree wastes at different composting times. Data represented by mean ± SE (n = 5). The letters show significant differences according to the ANOVA one-way followed by Tukey’s tests (P ≤ 0.05). The samples were composted for 0, 2, 12, 16, 28, and 32 weeks.

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    Figure 2.

    Cellulose levels of pruning tree wastes at different composting times. Data represented by mean ± SE (n = 5) of the sulfuric acid hydrolysis. Different letters represent statistical differences between the composting times of a given sugar by ANOVA one-way and Tukey’s tests (P ≤ 0.05). The samples were composted for 0, 2, 12, 16, 28, and 32 weeks.

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    Figure 3.

    Lignin levels of pruning tree wastes at different composting times. Data represented by mean ± SE (n = 5). Letters in the graph represent the significant differences in ANOVA one-way and Tukey’s tests (P ≤ 0.05). The samples were composted for 0, 2, 12, 16, 28, and 32 weeks.

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    Figure 4.

    Saccharification capacity of the cell walls of pruning tree wastes. Data represented by mean ± SE (n = 5). Letters in the graph represent the significant differences in ANOVA one-way and Tukey’s tests (P ≤ 0.05). The samples were composted for 0, 2, 12, 16, 28, and 32 weeks.

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    Table 1.

    Structural carbohydrates composition of pruning tree wastes. Data presented as mean ± SE (n = 5). Different letters represent statistical differences between the composting times of a given sugar by ANOVA one-way and Tukey’s tests ( P ≤ 0.05). The samples were composted for 0, 2, 12, 16, 28, and 32 weeks. SE (Standard Error); DW (dry weight).

    μg monosaccharide mg DW−1
    Composting timeFucoseArabinoseGalactoseRhamnoseGlucoseXyloseMannose
    0 weeks5.06 ± 0.07 a13.87 ± 0.96 c14.33 ± 0.52 c7.04 ± 0.14 ab8.19 ± 0.24 a43.70 ± 2.51 c7.41 ± 0.17 a
    2 weeks5.39 ± 0.05 ab11.70 ± 1.31 ac12.63 ± 0.82 bc7.17 ± 0.20 b8.49 ± 0.40 a30.25 ± 3.06 b7.87 ± 0.34 a
    12 weeks5.65 ± 0.02 b9.84 ± 0.16 bc9.59 ± 0.16 ab7.54 ± 0.03 b8.20 ± 0.08 a27.01 ± 1.78 ab7.25 ± 0.07 a
    16 weeks5.09 ± 0.12 a8.16 ± 0.46 b10.67 ± 0.47 ab6.48 ± 0.19 a7.54 ± 0.29 a19.57 ± 1.68 a7.56 ± 0.38 a
    24 weeks5.68 ± 0.04 b8.64 ± 0.35 bc12.49 ± 0.70 ac7.01 ± 0.10 ab8.51 ± 0.24 a30.52 ± 1.46 abc8.89 ± 0.28 a
    32 weeks5.33 ± 0.08 ab7.97 ± 0.33 ab8.90 ± 0.23 a6.40 ± 0.09 ab7.02 ± 0.16 a17.86 ± 1.24 a6.68 ± 0.12 a
    p-value0.0000.0040.0010.0060.0760.0000.072
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Arboriculture & Urban Forestry: 51 (3)
Arboriculture & Urban Forestry (AUF)
Vol. 51, Issue 3
May 2025
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Energy Potential of Urban Tree Pruning Waste
Débora Pagliuso, Camila Prado Cenciani de Souza, Aline Gloria Felix, Rose Mary Garcia Skelton Celidonio, Liliane Id, Alexandre Luiz Cavalcanti Valdez, Adriana Grandis, Edgard Bastos de Freitas Back Silva, Pamela Cezar Oliveira, Aline A. Cavalari
Arboriculture & Urban Forestry (AUF) Mar 2025, jauf.2025.008; DOI: 10.48044/jauf.2025.008

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Energy Potential of Urban Tree Pruning Waste
Débora Pagliuso, Camila Prado Cenciani de Souza, Aline Gloria Felix, Rose Mary Garcia Skelton Celidonio, Liliane Id, Alexandre Luiz Cavalcanti Valdez, Adriana Grandis, Edgard Bastos de Freitas Back Silva, Pamela Cezar Oliveira, Aline A. Cavalari
Arboriculture & Urban Forestry (AUF) Mar 2025, jauf.2025.008; DOI: 10.48044/jauf.2025.008
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