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| Registros recuperados : 270 | |
| 121. |  | MOURA, N. F.; CHAVES, L. J.; AGUIAR, A. V. de; SILVA, K. R. da; MOURA, M. F. Divergência fenotípica entre progênies de Caryocar brasiliense do Cerrado. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 122. | | SCARANTE, A. G.; MATOS, M. de F. da S.; SOARES, M. T. S.; AGUIAR, A. V. de; WREGE, M. S. Distribution of Handroanthus heptaphyllus in Brazil and future projections according to global climate change. Revista Geama, Recife, v. 3, n. 4, p. 201-207, out./dez. 2017.| Biblioteca(s): Embrapa Florestas. |
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| 123. | | TOMIGIAN, D.; RODRIGUES, G. H. S.; AGUIAR, A. V. de; SOUSA, V. A. de; KALIL FILHO, A. N. Efect of self-fertilization on heritability estimates in Bactris gasipaes Kunth. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 518. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 124. | | WREGE, M. S.; GARRASTAZU, M. C.; SOARES, M. T. S.; FRITZSONS, E.; SOUSA, V. A. de; AGUIAR, A. V. de. Principais fitofisionomias existentes no estado do Paraná e os novos cenários definidos pelas mudanças climáticas globais. Ambiência, Guarapuava, v. 13, n. 3, p. 600-615, set./dez. 2017.| Biblioteca(s): Embrapa Florestas. |
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| 127. | | TOMAZ, J. S.; BEZERRA, C. de S.; AGUIAR, A. V. de; WREGE, M. S.; LOPES, M. T. G. Prediction of the natural distribution, habitat and conservation of Stryphnodendron pulcherrimum (Willd.) Hochr. in response to global climate change. Pesquisa Agropecuária Tropical, v. 52, e72422, special supp., 2022.| Biblioteca(s): Embrapa Florestas. |
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| 129. | | TAMBARUSSI, E.; SOARES, I.; SANTOS, A. F. dos; AUER, C. G.; REZENDO, E.; COELHO, T.; AGUIAR, A. V. de. Leaf spots in Eucalyptus benthamii in southern Brazil. In: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantations under global changes: abstracts book. [S.l.]: Cirad, 2018. p. 203.| Biblioteca(s): Embrapa Florestas. |
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| 130. | | AGUIAR, A. V. de; MOURA, N. F.; MOURA, M. F.; ZUCCHI, M. I.; VENCOVSKY, R.; CHAVES, L. J. Relação entre a variação genética de caracteres quantitativos e marcadores moleculares em subpopulações de cagaiteira (Eugenia dysenterica DC). Revista Brasileira de Fruticultura, Jaboticabal, v. 33, n. 1, p. 157-169, mar. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 132. | | CORNACINI, M. R.; CAMBUIM, J.; SANTOS, W.; MORAES, M. L. T. de; MORAES, M. A. de; AGUIAR, A. V. de. Tamanho efetivo populacional de uma coleção de germoplasma de Jacaranda cuspidifolia MART. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014. CD-ROM. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 135. | | AGUIAR, A. V. de; CORREA, A. P. A.; SOUSA, V. A. de; DAROS, T. L.; SHIMIZU, J. Y. Variação genética em progênies de Pinus caribaea var. bahamensis em Barra Velha, SC. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil. [Búzios]: SBMP, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 136. | | ARAUJO, D.; CARLA, D.; MACHADO, C.; CAMBUIM, J.; AGUIAR, A. V. de; FREITAS, M. L. M.; MORAES, L, T. de. Variação genética em um teste de procedências de Araucaria cunninghamii. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014. CD-ROM. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 137. | | SOUSA, V. A. de; SOUZA, T. da S.; SILVA, M. S. C. da; SPOLADORE, J.; AGUIAR, A. V. de. Variação genética de uma população de Araucaria angustifolia. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 138. | | MOURA, N. F.; CHAVES, L. J.; NAVES, R. V.; AGUIAR, A. V. de; SOBIERAJSKI, G. da R. Variabilidade entre procedências e progênies de Pequizero (Caryocar brasiliense Camb.). Scientia Forestalis, Piracicaba, v. 41, n. 97, p. 103-112, jun. 2013.| Biblioteca(s): Embrapa Florestas. |
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| 139. | | FRITZSONS, E.; AGUIAR, A. V. de; GRABIAS, J.; FREITAS, M. L. M. de; WREGE, M. S.; MANTOVANI, L. E. Zoneamento climático para plantio experimental de Pinus maximinoi no Estado de São Paulo. Pesquisa Florestal Brasileira, Colombo, v. 32, n. 69, p. 79-92, jan./mar. 2012.| Biblioteca(s): Embrapa Florestas. |
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| 140. | | PAGLIARINI, M. K.; KIERAS, W. S.; MOREIRA, J. P.; SOUSA, V. A. de; SHIMIZU, J. Y.; MORAES M. L. T.; FURLANI JUNIOR, E.; AGUIAR, A. V. de. Adaptability, stability, productivity and genetic parameters in slash pine second-generation families in early age. Silvae Genetica, v. 65, n. 1, p. 71-82, Dec. 2016.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 270 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
14/10/2016 |
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Data da última atualização: |
18/10/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
WREGE, M. S.; SOUSA, V. A. de; FRITZSONS, E.; SOARES, M. T. S.; AGUIAR, A. V. de. |
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Afiliação: |
MARCOS SILVEIRA WREGE, CNPF; VALDERES APARECIDA DE SOUSA, CNPF; ELENICE FRITZSONS, CNPF; MARCIA TOFFANI SIMAO SOARES, CPAP; ANANDA VIRGINIA DE AGUIAR, CNPF. |
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Título: |
Predicting current and future geographical distribution of araucaria in Brazil for fundamental niche modeling. |
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Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
Environment and Ecology Research, v. 4, n. 5, p. 269-279, 2016. |
|
DOI: |
0.13189/eer.2016.040506 |
|
Idioma: |
Inglês |
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Conteúdo: |
Geographic distribution forecast of Araucaria angustifolia (Bertol.) O. Kuntze. was studied. This is a native species that occurs more frequently in the southern region of Brazil and, to a lesser extent, in the southeasthern region. The study was based on points of occurrence that were collected over several years by Embrapa Forests and complemented by points obtained from herbaria, banks and several educational institutions, including the biological collections database Reference Center Environmental Information (CRIA), which gathers information from various herbaria in Brazil. We used mathematical models occurrence prediction, including: Bioclim, and Niche Mosaic. The models were selected for best representing the regions of occurrence. In addition to the points of occurrence, to compose the spatial modeling environmental data, climate, soil, and topography were needed. In the study we used only climate data such as the average minimum air temperature, average maximum air temperature, accumulated rainfall, and average relative humidity. We didn?t use soil data because there was not a detailed survey available throughout the area of occurrence of the species. We conclude that the naturally occurring region of Araucaria was well represented using only the climate data and two models that well represented the occurrence of regions. With climate change, there is a strong tendency to reduce the potential area of Araucaria in Brazil, especially in regions at lower latitudes and altitudes. MenosGeographic distribution forecast of Araucaria angustifolia (Bertol.) O. Kuntze. was studied. This is a native species that occurs more frequently in the southern region of Brazil and, to a lesser extent, in the southeasthern region. The study was based on points of occurrence that were collected over several years by Embrapa Forests and complemented by points obtained from herbaria, banks and several educational institutions, including the biological collections database Reference Center Environmental Information (CRIA), which gathers information from various herbaria in Brazil. We used mathematical models occurrence prediction, including: Bioclim, and Niche Mosaic. The models were selected for best representing the regions of occurrence. In addition to the points of occurrence, to compose the spatial modeling environmental data, climate, soil, and topography were needed. In the study we used only climate data such as the average minimum air temperature, average maximum air temperature, accumulated rainfall, and average relative humidity. We didn?t use soil data because there was not a detailed survey available throughout the area of occurrence of the species. We conclude that the naturally occurring region of Araucaria was well represented using only the climate data and two models that well represented the occurrence of regions. With climate change, there is a strong tendency to reduce the potential area of Araucaria in Brazil, especially in regions at lower latitudes and ... Mostrar Tudo |
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Palavras-Chave: |
Conservação genética; Ecological modelling niche; Genetic conservation; Potential distribution model; Realized niche. |
|
Thesagro: |
Araucaria; Mudança Climática. |
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Thesaurus NAL: |
Climate change. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02390naa a2200277 a 4500
001 2054698
005 2016-10-18
008 2016 bl uuuu u00u1 u #d
024 7 $a0.13189/eer.2016.040506$2DOI
100 1 $aWREGE, M. S.
245 $aPredicting current and future geographical distribution of araucaria in Brazil for fundamental niche modeling.$h[electronic resource]
260 $c2016
520 $aGeographic distribution forecast of Araucaria angustifolia (Bertol.) O. Kuntze. was studied. This is a native species that occurs more frequently in the southern region of Brazil and, to a lesser extent, in the southeasthern region. The study was based on points of occurrence that were collected over several years by Embrapa Forests and complemented by points obtained from herbaria, banks and several educational institutions, including the biological collections database Reference Center Environmental Information (CRIA), which gathers information from various herbaria in Brazil. We used mathematical models occurrence prediction, including: Bioclim, and Niche Mosaic. The models were selected for best representing the regions of occurrence. In addition to the points of occurrence, to compose the spatial modeling environmental data, climate, soil, and topography were needed. In the study we used only climate data such as the average minimum air temperature, average maximum air temperature, accumulated rainfall, and average relative humidity. We didn?t use soil data because there was not a detailed survey available throughout the area of occurrence of the species. We conclude that the naturally occurring region of Araucaria was well represented using only the climate data and two models that well represented the occurrence of regions. With climate change, there is a strong tendency to reduce the potential area of Araucaria in Brazil, especially in regions at lower latitudes and altitudes.
650 $aClimate change
650 $aAraucaria
650 $aMudança Climática
653 $aConservação genética
653 $aEcological modelling niche
653 $aGenetic conservation
653 $aPotential distribution model
653 $aRealized niche
700 1 $aSOUSA, V. A. de
700 1 $aFRITZSONS, E.
700 1 $aSOARES, M. T. S.
700 1 $aAGUIAR, A. V. de
773 $tEnvironment and Ecology Research$gv. 4, n. 5, p. 269-279, 2016.
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