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| Registros recuperados : 159 | |
| 101. |  | KEMPER, B.; BRANDÃO, C. V. S.; ROSSETTO, V. J. V.; GUSHIKEN, L. F. S.; PADOVANI, C. R.; PELLIZZON, C. H. Autologous and homologous skin grafts treated with platelet-rich plasma (PRP): experimental study in rabbits. Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 38, n. 9, p. 1818-1823, setembro 2018 Título em português: Enxertos cutâneos autólogos e homólogos tratados com plasma rico em plaquetas (PRP): estudo experimental em coelhos.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 102. | | MOURÃO, G. de M.; OLIVEIRA, M. D. de; CALHEIROS, D. F.; PADOVANI, C. R.; MARQUES, E. J.; UETANABARO, M. O Pantanal Mato-Grossense: site 2. In: SEELIGER, U.; CORDAZZO, C.; BARBOSA, F. (Ed.). Os sites e o Programa Brasileiro de Pesquisas Ecológicas de Longa Duração. Belo Horizonte: [s.n.], 2002. p.29-49.| Biblioteca(s): Embrapa Pantanal. |
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| 103. | | DOMINGUES, P. F.; LANGONI, H.; ROCHA, N. S.; PADOVANI, C. R.; GONZALES, J. A. H.; BURINI, C. H. P. Citologia aspirativa por agulha fina (CAAF) em glândula mamária de vacas com mastite subclínica. Revista Napgama, v. 2, n. 4, p. 17-19, 1999.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 104. | | MOARES, A. S.; RESENDE, E. K. de; PADOVANI, C. R.; CATELLA, A. C.; ALBUQUERQUE, F. F. de; ESPÍNDOLA, C. Análise da situação atual e impacto ambiental da pesca na Estrada-parque MS. In: WORKSHOP ESTRADA-PARQUE PANTANAL, 2., 2002, Corumbá, MS. Anais... [Corumbá]: SEMACT. Comite Gestor Estrada-Parque Pantanal: WWF, 2002. nao paginado.| Biblioteca(s): Embrapa Pantanal. |
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| 105. | | STACHISSINI, A. V. M.; MODOLO, J. R.; CASTRO, J. R.; SIMIONI LEITE, B. L.; PADOVANI, C. R. Controle da artrite-encefalite caprina, em um capril comercial endemicamente contaminado. In: CONGRESSO LATINOAMERICANO DE BUIATRIA, 11.; CONGRESSO BRASILEIRO DE BUIATRIA, 5.; CONGRESSO NORDESTINO DE BUIATRIA, 3., 2003, Salvador. Sanidade, base da economia pecuária: programa final: livro de resumos. Salvador: Associação Brasileira de Buiatria, 2003. p. 70. ref. 153.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 106. | | TEIXEIRA, A. H. de C.; PADOVANI, C. R.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; GALDINO, S. Dinâmica do balanço de energia em larga escala no pantanal mato-grossense, Brasil. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 5., 2014, Campo Grande, MS. Anais... São José dos Campos: INPE, 2014. p. 71-80. 1 CD-ROM.| Biblioteca(s): Embrapa Pantanal. |
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| 107. | | TEIXEIRA, A. H. de C.; PADOVANI, C. R.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; GALDINO, S. Dinâmica do balanço de energia em larga escala no pantanal mato-grossense, Brasil. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 5., 2014, Campo Grande, MS. Anais... São José dos Campos: INPE, 2014. p. 71-80. 1 CD-ROM.| Biblioteca(s): Embrapa Territorial. |
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| 108. | | PADOVANI, C. R.; HANY, W. S.; GROENVELD, G.; SAMBRANA, L. A. S.; ISQUIERDO, S. W. J. L.; PELLEGRIN, L. A. Modelo físico tridimensional do relêvo da Bacia Hidrográfica do Rio Taquari: uma ferramenta para educação ambiental. In: SIMPÓSIO SOBRE RECURSOS NATURAIS E SÓCIO-ECONÔMICOS DO PANTANAL, 4., 2004, Corumbá, MS. Sustentabilidade regional: anais. Corumbá: Embrapa Pantanal: UCDB: UFMS: SEBRAE-MS, 2004. (CD-ROM).| Biblioteca(s): Embrapa Pantanal. |
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| 110. | | PINHEIRO, O. L.; BARROS, C. M.; FIGUEIREDO, R. A.; VALLE, E. R. do; ENCARNACAO, R. O.; PADOVANI, C. R. Estrous behavior and the estrus-to-ovulation interval im Nelore cattle (Bos indicus) with natural estrus or estrus induced with prostaglandin F2a or norgestomet and estradiol valerate. Theriogenology, New York, v.49, n.3, p.667-681, Feb. 1998. CNPGC.| Biblioteca(s): Embrapa Gado de Corte. |
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| 111. | | GODOY, J. M.; PADOVANI, C. R.; PEREIRA, J. C. A.; VIEIRA, L. M.; CARVALHO, Z. L.; GALDINO, S. Evalution of the Rio Taquari, Pantanal, Brazil, silting up based on the 210Pb geochronology of floodplain lakes sediments. In: INTERNATIONAL SYMPOSIUM ENVIRONMENTAL GEOCHEMISTRY IN TROPICAL COUNTRIES, 3., 1999, Nova Friburgo. Book Abstracts.| Biblioteca(s): Embrapa Pantanal. |
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| 112. | | PINHO, E. Z. de; COSTA, C.; ARRIGONI, M. D. B.; SILVEIRA, A. C.; PADOVANI, C. R.; PINHO, S. Z. de. Fermentation and nutritive value of silage and hay made from the aerial part of cassava (Manihot esculenta Crantz). Scientia Agricola, Piracicaba, v. 61, n. 4, p. 364-370, jul./ago., 2004.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 114. | | PADOVANI, C. R.; ESQUERDO, J. C. D. M.; ARAÚJO, A. F.; ISHII, R. P.; MATSUBARA, E. T.; MINGOTI, R. Sistema de suporte à decisão frente às inundações do Pantanal. In: SEMINÁRIO DA REDE AGROHIDRO, 4., 2016, Brasília, DF. Água e agricultura: incertezas e desafios para a sustentabilidade frente às mudanças do clima e do uso da terra: anais. Planaltina, DF: Embrapa Cerrados, 2016. 228-234| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Territorial. |
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| 115. | | PADOVANI, C. R.; ESQUERDO, J. C. D. M.; ARAÚJO, A. F.; ISHII, R. P.; MATSUBARA, E. T.; MINGOTI, R. Sistema de suporte à decisão frente às inundações do Pantanal. In: SEMINÁRIO DA REDE AGROHIDRO, 4., 2016, Brasília, DF. Água e agricultura: incertezas e desafios para a sustentabilidade frente às mudanças do clima e do uso da terra: anais. Planaltina, DF: Embrapa Cerrados, 2016. p. 228-234.| Biblioteca(s): Embrapa Cerrados. |
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| 116. | | PADOVANI, C. R.; ESQUERDO, J. C. D. M.; ARAUJO, A. F. de; ISHII, R. P.; MATSUBARA, E. T.; MINGOTI, R. Sistema de suporte à decisão frente às inundações do Pantanal. In: SEMINÁRIO DA REDE AGROHIDRO, 4., 2016, Brasília, DF. Água e agricultura: incertezas e desafios para a sustentabilidade frente às mudanças do clima e do uso da terra: anais. Brasília, DF: Embrapa, 2016. p. 228-234.| Biblioteca(s): Embrapa Pantanal. |
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| 117. | | SIMIONI LEITE, B. L.; MODOLO, J. R.; CASTRO, R. S.; STACHISSINI, A. V. M.; PADOVANI, C. R. Soroprevalência da artrite-encefalite caprina a vírus, no Estado de São Paulo. In: CONGRESSO LATINOAMERICANO DE BUIATRIA, 11.; CONGRESSO BRASILEIRO DE BUIATRIA, 5.; CONGRESSO NORDESTINO DE BUIATRIA, 3., 2003, Salvador. Sanidade, base da economia pecuária: programa final: livro de resumos. Salvador: Associação Brasileira de Buiatria, 2003. p. 70-71. ref. 155.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 120. | | PADOVANI, C. R.; ARAÚJO, A. F. de; ISHII, R. P.; CARVALHO, G.; ALMEIDA, H.; MATSUBARA, E. T.; ESQUERDO, J. C. D. M.; ANTONIASSI, R. A. dos S. Adoption of a decision support system for coexistence of extensive livestock to the Pantanal flood dynamics: related factors. In: INTERNATIONAL SYMPOSIUM ON AGRICULTURAL TECHNOLOGY ADOPTION, 1., 2020, Campo Grande, MS. Studies, methods and experiences. Campo Grande: MS, Embrapa Gado de Corte, 2020. p. 149-150. (Embrapa Gado de Corte. Documentos, 279). Editores: Mariana de Aragão Pereira, João Augusto Rossi Borges, Carla Heloisa Faria Domingues. ISATA 2020.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 159 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
02/12/2021 |
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Data da última atualização: |
02/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
OLIVEIRA, M. R.; TOMAS, W. M.; GUEDES, N. M. R.; PETERSON, A. T.; SZABO, J. K.; SANTOS JÚNIOR, A.; CAMILO, A. R.; PADOVANI, C. R.; GARCIA, L. C. |
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Afiliação: |
M. R. OLIVEIRA, Universidade Federal de Mato Grosso do Sul; WALFRIDO MORAES TOMAS, CPAP; N. M. R. GUEDES, Universidade Anhanguera-Uniderp; A.T. PETERSON, University of Kansas; J. K. SZABO, Universidade Federal da Bahia; A. SANTOS JÚNIOR, Instituto Federal de Educação Ciência e Tecnlogia de Rôndonia; A. R. CAMILO, Smithsonian Conservation Biology Institute; CARLOS ROBERTO PADOVANI, CPAP; L. C. GARCIA, Universidade Federal de Mato Grosso do Sul. |
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Título: |
The relationship between scale and predictor variables in species distribution models applied to conservation. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Biodiversity and Conservation, v. 30, p. 1971-1990, 2021. |
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DOI: |
https://doi.org/10.1007/s10531-021-02176-w |
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Idioma: |
Português |
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Conteúdo: |
Abstract: Species distribution models have been used to assist decision-making in many different aspects of conservation, restoration, and environmental management. However, to apply species distribution models effectively, we need to discriminate between suitable and unsuitable environments and the models need to be developed at fine scales (i.e. covering small areas at a fine resolution). These characteristics allow more precise decision-making for heterogeneous environments in smaller areas, such as biomes. We also need to understand the potential limiting factors in relation to these models better, including the effects of sample bias in species occurrence records and the potential mismatch between the scale at which the models were built and the scale at which the predictor variables interact with species occurrence. Here we evaluate the effects of two methods used to reduce bias (geographic vs. environmental filters) and three predictor variable types (climactic, local and biotic) on model predictions. We explore these issues for the hyacinth macaw (Anodorhynchus hyacinthinus), a globally vulnerable species in the Pantanal biome of central South America. We consider broad-scale variables, local-scale habitat associations, and the interactions of the macaw with two plant species that provide its food and nesting location. Our results show that using broad-scale climate variables for local-scale models (i.e., models with a fine resolution with a small extent) can generate predictive distribution models that underpredict suitability. Using local and biotic variables generates more accurate models with predictions consistent with the known distribution of the bird species. Although not commonly used, local-scale variables strongly affect model performance by increasing ccuracy, reducing omission error, and leading to more conservative predictions. On the other hand, these methods lead to variable results in relation to bias reduction, with their efficiency depending on the amount of sampling bias in the occurrence records. In conclusion, local variables and the method of bias reduction play an important role in species distribution models. Fine resolution models constructed at the local scale for small areas show the greatest skill in predicting species distribution. MenosAbstract: Species distribution models have been used to assist decision-making in many different aspects of conservation, restoration, and environmental management. However, to apply species distribution models effectively, we need to discriminate between suitable and unsuitable environments and the models need to be developed at fine scales (i.e. covering small areas at a fine resolution). These characteristics allow more precise decision-making for heterogeneous environments in smaller areas, such as biomes. We also need to understand the potential limiting factors in relation to these models better, including the effects of sample bias in species occurrence records and the potential mismatch between the scale at which the models were built and the scale at which the predictor variables interact with species occurrence. Here we evaluate the effects of two methods used to reduce bias (geographic vs. environmental filters) and three predictor variable types (climactic, local and biotic) on model predictions. We explore these issues for the hyacinth macaw (Anodorhynchus hyacinthinus), a globally vulnerable species in the Pantanal biome of central South America. We consider broad-scale variables, local-scale habitat associations, and the interactions of the macaw with two plant species that provide its food and nesting location. Our results show that using broad-scale climate variables for local-scale models (i.e., models with a fine resolution with a small extent) can generat... Mostrar Tudo |
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Thesagro: |
Arara. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03061naa a2200241 a 4500
001 2136976
005 2021-12-02
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10531-021-02176-w$2DOI
100 1 $aOLIVEIRA, M. R.
245 $aThe relationship between scale and predictor variables in species distribution models applied to conservation.$h[electronic resource]
260 $c2021
520 $aAbstract: Species distribution models have been used to assist decision-making in many different aspects of conservation, restoration, and environmental management. However, to apply species distribution models effectively, we need to discriminate between suitable and unsuitable environments and the models need to be developed at fine scales (i.e. covering small areas at a fine resolution). These characteristics allow more precise decision-making for heterogeneous environments in smaller areas, such as biomes. We also need to understand the potential limiting factors in relation to these models better, including the effects of sample bias in species occurrence records and the potential mismatch between the scale at which the models were built and the scale at which the predictor variables interact with species occurrence. Here we evaluate the effects of two methods used to reduce bias (geographic vs. environmental filters) and three predictor variable types (climactic, local and biotic) on model predictions. We explore these issues for the hyacinth macaw (Anodorhynchus hyacinthinus), a globally vulnerable species in the Pantanal biome of central South America. We consider broad-scale variables, local-scale habitat associations, and the interactions of the macaw with two plant species that provide its food and nesting location. Our results show that using broad-scale climate variables for local-scale models (i.e., models with a fine resolution with a small extent) can generate predictive distribution models that underpredict suitability. Using local and biotic variables generates more accurate models with predictions consistent with the known distribution of the bird species. Although not commonly used, local-scale variables strongly affect model performance by increasing ccuracy, reducing omission error, and leading to more conservative predictions. On the other hand, these methods lead to variable results in relation to bias reduction, with their efficiency depending on the amount of sampling bias in the occurrence records. In conclusion, local variables and the method of bias reduction play an important role in species distribution models. Fine resolution models constructed at the local scale for small areas show the greatest skill in predicting species distribution.
650 $aArara
700 1 $aTOMAS, W. M.
700 1 $aGUEDES, N. M. R.
700 1 $aPETERSON, A. T.
700 1 $aSZABO, J. K.
700 1 $aSANTOS JÚNIOR, A.
700 1 $aCAMILO, A. R.
700 1 $aPADOVANI, C. R.
700 1 $aGARCIA, L. C.
773 $tBiodiversity and Conservation$gv. 30, p. 1971-1990, 2021.
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