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Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources
This data article focuses on sustainability indicators for bioenergy generation from Brazilian Amazon׳s non-woody native biomass sources, considered to be modern forms of biomass. In the construction of the indicators, the Indicator-based Framework for Evaluation of Natural Resource Management Syste...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260366/ https://www.ncbi.nlm.nih.gov/pubmed/30519615 http://dx.doi.org/10.1016/j.dib.2018.11.022 |
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author | Flores, Josmar Almeida Konrad, Odorico Flores, Cíntia Rosina Schroder, Nádia Teresinha |
author_facet | Flores, Josmar Almeida Konrad, Odorico Flores, Cíntia Rosina Schroder, Nádia Teresinha |
author_sort | Flores, Josmar Almeida |
collection | PubMed |
description | This data article focuses on sustainability indicators for bioenergy generation from Brazilian Amazon׳s non-woody native biomass sources, considered to be modern forms of biomass. In the construction of the indicators, the Indicator-based Framework for Evaluation of Natural Resource Management Systems (MESMIS, from the original Spanish) method was used, with the application of the seven sustainability attributes to identify critical points and limiting and favorable factors for sustainability. The data yielded a list of 29 indicators distributed across 27 critical points, selected from three system evaluation areas: 11 environmental indicators, 11 social indicators, and 7 economic indicators. |
format | Online Article Text |
id | pubmed-6260366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62603662018-12-05 Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources Flores, Josmar Almeida Konrad, Odorico Flores, Cíntia Rosina Schroder, Nádia Teresinha Data Brief Energy This data article focuses on sustainability indicators for bioenergy generation from Brazilian Amazon׳s non-woody native biomass sources, considered to be modern forms of biomass. In the construction of the indicators, the Indicator-based Framework for Evaluation of Natural Resource Management Systems (MESMIS, from the original Spanish) method was used, with the application of the seven sustainability attributes to identify critical points and limiting and favorable factors for sustainability. The data yielded a list of 29 indicators distributed across 27 critical points, selected from three system evaluation areas: 11 environmental indicators, 11 social indicators, and 7 economic indicators. Elsevier 2018-11-14 /pmc/articles/PMC6260366/ /pubmed/30519615 http://dx.doi.org/10.1016/j.dib.2018.11.022 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Energy Flores, Josmar Almeida Konrad, Odorico Flores, Cíntia Rosina Schroder, Nádia Teresinha Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title | Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title_full | Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title_fullStr | Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title_full_unstemmed | Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title_short | Sustainability indicators for bioenergy generation from Amazon׳s non-woody native biomass sources |
title_sort | sustainability indicators for bioenergy generation from amazon׳s non-woody native biomass sources |
topic | Energy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260366/ https://www.ncbi.nlm.nih.gov/pubmed/30519615 http://dx.doi.org/10.1016/j.dib.2018.11.022 |
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