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Registro Completo |
Biblioteca(s): |
Embrapa Acre; Embrapa Amapá; Embrapa Meio Ambiente; Embrapa Rondônia; Embrapa Roraima. |
Data corrente: |
31/05/2021 |
Data da última atualização: |
31/05/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
KLIMAS, C. A.; WADT, L. H. de O.; CASTILHO, C. V. de; LIRA-GUEDES, A. C.; COSTA, P. da; FONSECA, F. L. da. |
Afiliação: |
CHRISTIE A. KLIMAS, DePaul University, Chicago, USA; LUCIA HELENA DE OLIVEIRA WADT, CPAF-RO; CAROLINA VOLKMER DE CASTILHO, CPAF-RR; ANA CLAUDIA LIRA GUEDES, CPAF-AP; PATRICIA DA COSTA, CNPMA; FERNANDA LOPES DA FONSECA, CPAF-AC. |
Título: |
Variation in seed harvest potential of Carapa guianensis Aublet in the Brazilian Amazon: a multi-year, multi-region study of determinants of mast seeding and seed quantity. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Forests, v. 12, n. 6, 683, 2021. |
ISSN: |
1999-4907 |
DOI: |
https://doi.org/10.3390/f12060683 |
Idioma: |
Inglês |
Conteúdo: |
This work augments research on masting for the economically important tropical tree Carapa guianensis Aublet, specifically on whether determinants of mast years vary regionally, spatially, and due to longer term ENSO climate patterns. Longer term measurements (an 11-year period in Acre and Roraima; 4 years and 8 months in Amapá) from three regions of the Brazilian Amazon allowed for the analysis of whether climate cues were regionally consistent for this species. We used generalized linear mixed models, to determine which factors were significant in predicting whether trees would produce in a given year and to model the seed production quantity. We found a positive effect of increasing the diameter at breast height (dbh) on the quantity and likelihood of seed production. Our results also suggested that ecosystems and climate cues may jointly affect seed production. In flooded forests, increases in dry season rainfall had a negative impact on the likelihood of seed production whilst none of the precipitation variables investigated influenced the quantity of seeds produced. In drier terra firme forests in Acre with extended dry seasons, increases in dry season precipitation had significant and positive impacts on both the likelihood and the quantity of seed production. Our results illustrate the importance of considering plant habitat and climate to better understand individual and regional differences in seed production and their responses to inter-annual climate variation. |
Palavras-Chave: |
Acre; Cosecha; Factores climáticos; Llanuras sujetas a inundaciones; Mainlands; Manejo florestal; Multi-use species; Producción de plántulas; Productos forestales no madereros; Produto florestal não madeireiro (PFNM); Rondônia; Roraima; Terra firme; Variação climática. |
Thesagro: |
Andiroba; Carapa Guianensis; Colheita; Floresta Tropical; Produção de Sementes; Várzea. |
Thesaurus Nal: |
Amazonia; Climatic factors; Floodplains; Forest management; Harvesting; Nontimber forest products; Seedling production; Tropical rain forests. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223549/1/capfro-18565.pdf
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Marc: |
LEADER 03129naa a2200541 a 4500 001 2132107 005 2021-05-31 008 2021 bl uuuu u00u1 u #d 022 $a1999-4907 024 7 $ahttps://doi.org/10.3390/f12060683$2DOI 100 1 $aKLIMAS, C. A. 245 $aVariation in seed harvest potential of Carapa guianensis Aublet in the Brazilian Amazon$ba multi-year, multi-region study of determinants of mast seeding and seed quantity.$h[electronic resource] 260 $c2021 520 $aThis work augments research on masting for the economically important tropical tree Carapa guianensis Aublet, specifically on whether determinants of mast years vary regionally, spatially, and due to longer term ENSO climate patterns. Longer term measurements (an 11-year period in Acre and Roraima; 4 years and 8 months in Amapá) from three regions of the Brazilian Amazon allowed for the analysis of whether climate cues were regionally consistent for this species. We used generalized linear mixed models, to determine which factors were significant in predicting whether trees would produce in a given year and to model the seed production quantity. We found a positive effect of increasing the diameter at breast height (dbh) on the quantity and likelihood of seed production. Our results also suggested that ecosystems and climate cues may jointly affect seed production. In flooded forests, increases in dry season rainfall had a negative impact on the likelihood of seed production whilst none of the precipitation variables investigated influenced the quantity of seeds produced. In drier terra firme forests in Acre with extended dry seasons, increases in dry season precipitation had significant and positive impacts on both the likelihood and the quantity of seed production. Our results illustrate the importance of considering plant habitat and climate to better understand individual and regional differences in seed production and their responses to inter-annual climate variation. 650 $aAmazonia 650 $aClimatic factors 650 $aFloodplains 650 $aForest management 650 $aHarvesting 650 $aNontimber forest products 650 $aSeedling production 650 $aTropical rain forests 650 $aAndiroba 650 $aCarapa Guianensis 650 $aColheita 650 $aFloresta Tropical 650 $aProdução de Sementes 650 $aVárzea 653 $aAcre 653 $aCosecha 653 $aFactores climáticos 653 $aLlanuras sujetas a inundaciones 653 $aMainlands 653 $aManejo florestal 653 $aMulti-use species 653 $aProducción de plántulas 653 $aProductos forestales no madereros 653 $aProduto florestal não madeireiro (PFNM) 653 $aRondônia 653 $aRoraima 653 $aTerra firme 653 $aVariação climática 700 1 $aWADT, L. H. de O. 700 1 $aCASTILHO, C. V. de 700 1 $aLIRA-GUEDES, A. C. 700 1 $aCOSTA, P. da 700 1 $aFONSECA, F. L. da 773 $tForests$gv. 12, n. 6, 683, 2021.
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Embrapa Rondônia (CPAF-RO) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
31/03/2023 |
Data da última atualização: |
31/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ARAÚJO, F. H. V.; SILVA, A. F. da; RAMOS, R. S.; FERREIRA, S. R.; SANTOS, J. B. dos; SILVA, R. S. da; SHABANI, F. |
Afiliação: |
FAUSTO HENRIQUE VIEIRA ARAÚJO, Universidade Federal do Jequitinhonha e Vale do Mucuri; ALEXANDRE FERREIRA DA SILVA, CNPMS; RODRIGO SOARES RAMOS, Universidade Federal de Viçosa; SABRINA RODRIGUES FERREIRA, Universidade Federal do Jequitinhonha e Vale do Mucuri; JOSE BARBOSA DOS SANTOS, Universidade Federal do Jequitinhonha e Vale do Mucuri; RICARDO SIQUEIRA DA SILVA, Universidade Federal do Jequitinhonha e Vale do Mucuri; FARZIN SHABANI, Flinders University. |
Título: |
Modelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Crop Protection, v. 160, 106050, 2022. |
DOI: |
https://doi.org/10.1016/j.cropro.2022.106050 |
Idioma: |
Inglês |
Conteúdo: |
Striga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreement between CLIMEX and MaxEnt outputs. MenosStriga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreem... Mostrar Tudo |
Palavras-Chave: |
Adequação climática. |
Thesagro: |
Erva Daninha. |
Thesaurus NAL: |
Climate change; Invasive species; Weeds. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02328naa a2200265 a 4500 001 2152904 005 2023-03-31 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.cropro.2022.106050$2DOI 100 1 $aARAÚJO, F. H. V. 245 $aModelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops.$h[electronic resource] 260 $c2022 520 $aStriga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreement between CLIMEX and MaxEnt outputs. 650 $aClimate change 650 $aInvasive species 650 $aWeeds 650 $aErva Daninha 653 $aAdequação climática 700 1 $aSILVA, A. F. da 700 1 $aRAMOS, R. S. 700 1 $aFERREIRA, S. R. 700 1 $aSANTOS, J. B. dos 700 1 $aSILVA, R. S. da 700 1 $aSHABANI, F. 773 $tCrop Protection$gv. 160, 106050, 2022.
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