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| 17. |  | LIMA FILHO, O. F. de. Silício: agricultura e saúde humana. Panorama Rural, São Paulo, ano 8, n. 98, p.p.34, mar. 2007 SIDE 19/07 - Dourados Informa, 16 abr. 2007; SIDE 19/07A - Dourados News, 16 abr. 2007; SIDE 19/07B - Cultivar, Pelotas, 16 abr. 2007; SIDE 19/07C - Agora MS, 16 abr. 2007; SIDE 19/07D - MS Notícias, 16 abr. 2007; SIDE 19/07E - Diário MS...| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 18. | | LIMA FILHO, O. F. de. O silício em sistemas intensivos de produção agropecuária. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 27.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 11.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 9.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 6., 2006, Bonito, MS. A busca das raízes: anais. Dourados: Embrapa Agropecuária Oeste, 2006. (Embrapa Agropecuária Oeste. Documentos, 82). 1 CD-ROM. FERTBIO.| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| Registros recuperados : 88 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
09/05/2022 |
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Data da última atualização: |
10/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
TESHOME, M.; TORRES, C. M. M. E.; SILESHI, G. W.; MATTOS, P. P. de; BRAZ, E. M.; TEMESGEN, H.; ROCHA, S. J. S. S. da; ALEBACHEW, M. |
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Afiliação: |
MINDAYE TESHOME, Universidade Federal de Viçosa; Central Ethiopia Environment and Forest Research Centre; CARLOS MOREIRA MIQUELINO ELETO TORRES, Universidade Federal de Viçosa; GUDETA WELDESEMAYAT SILESHI, University of Kwazulu-Natal; PATRICIA POVOA DE MATTOS, CNPF; EVALDO MUNOZ BRAZ, CNPF; HAILEMARIAM TEMESGEN, Oregon State University; SAMUEL JOSÉ SILVA SOARES DA ROCHA, Universidade Federal de Lavras; MEHARI ALEBACHEW, Central Ethiopia Environment and Forest Research Centre. |
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Título: |
Mixed-Species allometric equations to quantify stem volume and tree biomass in Dry Afromontane Forest of Ethiopia. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Open Journal of Forestry, v. 12, p. 263-296, 2022. |
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ISSN: |
2163-0437 |
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DOI: |
https://doi.org/10.4236/ojf.2022.123015 |
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Idioma: |
Português |
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Conteúdo: |
ABSTRACT. Volume and biomass equations are essential tools to determine forest productivity and enable forest managers to make informed ecisions. However, volume and biomass estimation equations are scarce for Afromontane forests in Africa in general and Ethiopia in particular. This limits our knowledge of the standing volume of wood, biomass, and carbon stock of the forests there in. In this study, we developed a new mixed-species volume and biomass equations for Afromontane forests and compared them with generic pantropical and local models. A total of 193 sampled trees from seven dominant tree species were used to develop the equations. Various volume and biomass equations were fitted using robust linear and nonlinear regression. Model comparison indicated that the best model to estimate stem volume was ln (v) = -9.909 + 0.954 * ln (d2h), whereas the best model to estimate biomass was ln (b) = -2.983 + 0.949 *ln (pd2h). These equations explained over 85% of the variations in the stem volume and biomass measurements. The mean density and basal area of trees in the forest with d >/= 2 cm was 631.5 stems-ha -1 and 24.4 m 2 ha -1. Based on the newly developed equations, the forest has on average 303.0 m3 ha -1 standing volume of wood and 283.8 Mg.ha -1 biomass stock. The newly developed allometric equations derived from this study can be used to accurately determine the stem volume, biomass, and carbon storage in the Afromontane forests in Ethiopia and elsewhere with similar stand characteristics and ecological conditions. By contrast, the generic pan-tropical and other local models appear to provide biased estimates and are not suitable for dry Afromontane forests in Ethiopia. The estimated stem biomass and carbon stock in the Chilimo forest are comparable with the estimates from various tropical forests and woodlands elsewhere in Africa, indicating the importance of dry Afromontane forest for climate change mitigation. MenosABSTRACT. Volume and biomass equations are essential tools to determine forest productivity and enable forest managers to make informed ecisions. However, volume and biomass estimation equations are scarce for Afromontane forests in Africa in general and Ethiopia in particular. This limits our knowledge of the standing volume of wood, biomass, and carbon stock of the forests there in. In this study, we developed a new mixed-species volume and biomass equations for Afromontane forests and compared them with generic pantropical and local models. A total of 193 sampled trees from seven dominant tree species were used to develop the equations. Various volume and biomass equations were fitted using robust linear and nonlinear regression. Model comparison indicated that the best model to estimate stem volume was ln (v) = -9.909 + 0.954 * ln (d2h), whereas the best model to estimate biomass was ln (b) = -2.983 + 0.949 *ln (pd2h). These equations explained over 85% of the variations in the stem volume and biomass measurements. The mean density and basal area of trees in the forest with d >/= 2 cm was 631.5 stems-ha -1 and 24.4 m 2 ha -1. Based on the newly developed equations, the forest has on average 303.0 m3 ha -1 standing volume of wood and 283.8 Mg.ha -1 biomass stock. The newly developed allometric equations derived from this study can be used to accurately determine the stem volume, biomass, and carbon storage in the Afromontane forests in Ethiopia and elsewhere with similar ... Mostrar Tudo |
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Palavras-Chave: |
Carbon stock; Estoque de carbono; Etiópia; Floresta natural; Modelo; Natural forest; Produtividade florestal; Regressão robusta; Robust regression; Site-specific model. |
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Thesagro: |
Biomassa. |
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Thesaurus NAL: |
Carbon. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1142795/1/Mattos-OpenJournalOfforestry-Mixed-Species-Allometric-Equations.pdf
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Marc: |
LEADER 03045naa a2200373 a 4500
001 2142795
005 2022-05-10
008 2022 bl uuuu u00u1 u #d
022 $a2163-0437
024 7 $ahttps://doi.org/10.4236/ojf.2022.123015$2DOI
100 1 $aTESHOME, M.
245 $aMixed-Species allometric equations to quantify stem volume and tree biomass in Dry Afromontane Forest of Ethiopia.$h[electronic resource]
260 $c2022
520 $aABSTRACT. Volume and biomass equations are essential tools to determine forest productivity and enable forest managers to make informed ecisions. However, volume and biomass estimation equations are scarce for Afromontane forests in Africa in general and Ethiopia in particular. This limits our knowledge of the standing volume of wood, biomass, and carbon stock of the forests there in. In this study, we developed a new mixed-species volume and biomass equations for Afromontane forests and compared them with generic pantropical and local models. A total of 193 sampled trees from seven dominant tree species were used to develop the equations. Various volume and biomass equations were fitted using robust linear and nonlinear regression. Model comparison indicated that the best model to estimate stem volume was ln (v) = -9.909 + 0.954 * ln (d2h), whereas the best model to estimate biomass was ln (b) = -2.983 + 0.949 *ln (pd2h). These equations explained over 85% of the variations in the stem volume and biomass measurements. The mean density and basal area of trees in the forest with d >/= 2 cm was 631.5 stems-ha -1 and 24.4 m 2 ha -1. Based on the newly developed equations, the forest has on average 303.0 m3 ha -1 standing volume of wood and 283.8 Mg.ha -1 biomass stock. The newly developed allometric equations derived from this study can be used to accurately determine the stem volume, biomass, and carbon storage in the Afromontane forests in Ethiopia and elsewhere with similar stand characteristics and ecological conditions. By contrast, the generic pan-tropical and other local models appear to provide biased estimates and are not suitable for dry Afromontane forests in Ethiopia. The estimated stem biomass and carbon stock in the Chilimo forest are comparable with the estimates from various tropical forests and woodlands elsewhere in Africa, indicating the importance of dry Afromontane forest for climate change mitigation.
650 $aCarbon
650 $aBiomassa
653 $aCarbon stock
653 $aEstoque de carbono
653 $aEtiópia
653 $aFloresta natural
653 $aModelo
653 $aNatural forest
653 $aProdutividade florestal
653 $aRegressão robusta
653 $aRobust regression
653 $aSite-specific model
700 1 $aTORRES, C. M. M. E.
700 1 $aSILESHI, G. W.
700 1 $aMATTOS, P. P. de
700 1 $aBRAZ, E. M.
700 1 $aTEMESGEN, H.
700 1 $aROCHA, S. J. S. S. da
700 1 $aALEBACHEW, M.
773 $tOpen Journal of Forestry$gv. 12, p. 263-296, 2022.
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Embrapa Florestas (CNPF) |
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