The inadequate disposal of urban pruning residues can cause significant environmental impacts. The objective of the study presented herein was to quantify the carbon footprint and analyze four disposal scenarios for the urban pruning waste of the city of Joao Pessoa (Northeast Brazil). Software SimaPro was utilized for the quantification of the carbon footprint, with the IPCC 2013 GWP 100y impact evaluation method. The end-of-life treatments considered were sanitary landfilling (with and without collection of methane), simple municipal incineration, and reutilization of wood (transformation into briquettes). The results indicated that simple disposal in sanitary landfill generated 136.34 kg CO/t urban pruning waste collected (highest carbon footprint), sanitary landfill with methane collection emitted 113.43 kg CO/t waste, municipal incineration generated 71.31 kg CO/t waste, and reutilization of woody residues was the scenario with the lowest carbon footprint, with 27.82 kg CO/t waste. This study demonstrated that reutilization of biomass, besides being environmentally viable, presents the potential to contribute to the city's environmental quality, including the possibility of being used to obtain carbon credits.

Modern society experiences a progressive transition towards less harmful environmental behavior to foster sustainability. This study evaluated the carbon footprint associated with three types of urban pruning waste disposal: sanitary landfill (usual destination), generation of electricity, and generation of heat. A study case was carried out in the municipality of João Pessoa, Northeast Brazil. The Life Cycle Assessment methodology was applied to the material and energy inputs associated with each urban pruning waste disposal scenario, and the impact evaluation method selected was IPCC 2013 GWP 100y, which expresses environmental impact in terms of greenhouse gas emissions. From the analyses carried out herein, it was concluded that the current practice (sanitary landfilling) presented the highest carbon footprint within the studied scenarios. The best scenario was the utilization of urban pruning waste for the generation of electricity, which presented a negative carbon footprint (avoided emissions).

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Este artigo analisou a distribuição espacial e a conglomeração dos Planos de Manejo Florestal Sustentável (PMFS) na Paraíba para 2017. Utilizou método Scan Statistcis puramente espacial para identificação dos clusters como cálculo dos valores de raio do cluster, do risco relativo, do número de casos observados e de casos esperados. Foram analisadas as variáveis: área manejada, volume de produção total (st), volume de produção (st) por finalidade lenha, volume de produção (st) por finalidade carvão e quantidade (nº) de PMFS. Os resultados evidenciam clusters tanto para área manejada, volume de PMFS, volume de produção por finalidade lenha, volume de produção por finalidade carvão e quantidade de PMFS nos municípios paraibanos. Apenas para quantidade de PMFS, a pesquisa apresenta maior parte dos resultados não significantes, uma vez que somente a mesorregião da Borborema foi classificada como significante. Concluiu-se que a concentração de produção de lenha na mesorregião do Sertão paraibano se dá pelo grande número de empresas ceramistas e gesso.