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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
21/05/2021 |
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Data da última atualização: |
28/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, F. M.; TERRA, G.; MONTE, M. A.; CHAER, G. M. |
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Afiliação: |
FELIPE MARTINI SANTOS, UFRRJ; GILBERTO TERRA, Sucupira Agroforestas, Valença, BA; MARCO ANTONIO MONTE, UFRRJ; GUILHERME MONTANDON CHAER, CNPAB. |
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Título: |
Growth, yield and stem form of young African mahoganies (Khaya spp.) in mixed species plantations and successional agroforestry systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
New Forests, v. 53, p. 181-202, 2022. |
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ISSN: |
0169-4286 |
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DOI: |
https://doi.org/10.1007/s11056-021-09850-5 |
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Idioma: |
Inglês |
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Conteúdo: |
African mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at 58 months were: 3.3 m3 ha−1 year−1, 1.3 m3 ha−1 year−1, 2.2 m3 ha−1 year−1, and 2.8 m3 ha−1 year−1, for the T1 to T4, respectively. K. grandifoliola had higher height and DBH growth rates than K. ivorensis. However, K. ivorensis trees produced straighter stems, with desirable use to sawmilling MenosAfrican mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at ... Mostrar Tudo |
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Palavras-Chave: |
Khaya grandifoliola; Khaya ivorensi; Stem quality; Stemwood production. |
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Thesaurus Nal: |
Intercropping; Khaya; Khaya ivorensis. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02651naa a2200265 a 4500
001 2131952
005 2023-08-28
008 2022 bl uuuu u00u1 u #d
022 $a0169-4286
024 7 $ahttps://doi.org/10.1007/s11056-021-09850-5$2DOI
100 1 $aSANTOS, F. M.
245 $aGrowth, yield and stem form of young African mahoganies (Khaya spp.) in mixed species plantations and successional agroforestry systems.$h[electronic resource]
260 $c2022
520 $aAfrican mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at 58 months were: 3.3 m3 ha−1 year−1, 1.3 m3 ha−1 year−1, 2.2 m3 ha−1 year−1, and 2.8 m3 ha−1 year−1, for the T1 to T4, respectively. K. grandifoliola had higher height and DBH growth rates than K. ivorensis. However, K. ivorensis trees produced straighter stems, with desirable use to sawmilling
650 $aIntercropping
650 $aKhaya
650 $aKhaya ivorensis
653 $aKhaya grandifoliola
653 $aKhaya ivorensi
653 $aStem quality
653 $aStemwood production
700 1 $aTERRA, G.
700 1 $aMONTE, M. A.
700 1 $aCHAER, G. M.
773 $tNew Forests$gv. 53, p. 181-202, 2022.
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Embrapa Agrobiologia (CNPAB) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Roraima. Para informações adicionais entre em contato com cpafrr.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
14/09/2021 |
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Data da última atualização: |
14/09/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PRUDENTE, V. H. R.; SANCHES, I. D.; ADAMI, M.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ZHANG, Y. |
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Afiliação: |
HARON ABRAHIM MAGALHAES XAUD, CPAF-RR; MARISTELA RAMALHO XAUD, CPAF-RR. |
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Título: |
SAR data for land use land cover classification in a tropical region with frequent cloud cover. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
IGARSS - INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
This study aims at mapping Land Use and Land Cover (LULC) in the region of Roraima, Brazil, using time-series of Sentinel-1 Synthetic Aperture Radar (SAR) data. All available Sentinel-1 images covering the study area were used and classified using two machine learning algorithms, namely random forest and multilayer perceptron. LULC heterogeneity with the SAR process complexity makes the process challenging in distinguishing certain classes. Results show that SAR data could be used for LULC mapping, as rainforest, savannas, water, and sandbank/outcrop classes. But cannot provide accurate separation for all classes, mainly for those with similar geometrical structures, such as regeneration areas, perennial crops, and buritizais. |
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Palavras-Chave: |
Machine learning; Sentinel. |
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Thesagro: |
Radar. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01409nam a2200229 a 4500
001 2134397
005 2021-09-14
008 2020 bl uuuu u00u1 u #d
100 1 $aPRUDENTE, V. H. R.
245 $aSAR data for land use land cover classification in a tropical region with frequent cloud cover.$h[electronic resource]
260 $aIGARSS - INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM$c2020
520 $aThis study aims at mapping Land Use and Land Cover (LULC) in the region of Roraima, Brazil, using time-series of Sentinel-1 Synthetic Aperture Radar (SAR) data. All available Sentinel-1 images covering the study area were used and classified using two machine learning algorithms, namely random forest and multilayer perceptron. LULC heterogeneity with the SAR process complexity makes the process challenging in distinguishing certain classes. Results show that SAR data could be used for LULC mapping, as rainforest, savannas, water, and sandbank/outcrop classes. But cannot provide accurate separation for all classes, mainly for those with similar geometrical structures, such as regeneration areas, perennial crops, and buritizais.
650 $aRadar
653 $aMachine learning
653 $aSentinel
700 1 $aSANCHES, I. D.
700 1 $aADAMI, M.
700 1 $aSKAKUN, S.
700 1 $aOLDONI, L. V.
700 1 $aXAUD, H. A. M.
700 1 $aXAUD, M. R.
700 1 $aZHANG, Y.
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