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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá; Embrapa Amazônia Oriental. |
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Data corrente: |
18/11/2019 |
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Data da última atualização: |
07/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TOURNE, D. C. M.; BALLESTER, M. V. R.; JAMES, P. M. A.; MARTORANO, L. G.; GUEDES, M. C.; THOMAS, E. |
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Afiliação: |
DAIANA C. M. TOURNE, USP; MARIA V. R. BALLESTER, USP; PATRICK M. A. JAMES, UNIVERSITY OF MONTRÉAL; LUCIETA GUERREIRO MARTORANO, CPATU; MARCELINO CARNEIRO GUEDES, CPAF-AP; EVERT THOMAS, BIOVERSITY INTERNATIONAL, REGIONAL OFFICE FOR THE AMERICAS. |
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Título: |
Strategies to optimize modeling habitat suitability of Bertholletia excelsa in the Pan-Amazonia. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Ecology and Evolution, v. 9, n. 22, p. 12357-12960, Nov. 2019. |
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DOI: |
https://doi.org/10.1002/ece3.5726 |
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Idioma: |
Inglês |
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Conteúdo: |
Aim: Amazon-nut (Bertholletia excelsa) is a hyperdominant and protected tree species, playing a keystone role in nutrient cycling and ecosystem service provision in Amazonia. Our main goal was to develop a robust habitat suitability model of Amazon-nut and to identify the most important predictor variables to support conservation and tree planting decisions. Localization: Amazon region, South America. Methods: We collected 3,325 unique Amazon-nut records and assembled >100 spatial predictor variables organized across climatic, edaphic, and geophysical categories. We compared suitability models using variables (a) selected through statistical techniques; (b) recommended by experts; and (c) integrating both approaches (a and b). We applied different spatial filtering scenarios to reduce overfitting. We additionally fine-tuned MAXENT settings to our data. The best model was selected through quantitative and qualitative assessments. Results: Principal component analysis based on expert recommendations was the most appropriate method for predictor selection. Elevation, coarse soil fragments, clay, slope, and annual potential evapotranspiration were the most important predictors. Their relative contribution to the best model amounted to 75%. Filtering of the presences within a radius of 10 km displayed lowest overfitting, a satisfactory omission rate and the most symmetric distribution curve. Our findings suggest that under current environmental conditions, suitable habitat for Amazon-nut is found across 2.3 million km2, that is, 32% of the Amazon Biome. Main conclusion: The combination of statistical techniques with expert knowledge improved the quality of our suitability model. Topographic and soil variables were the most important predictors. The combination of predictor variable selection, fine-tuning of model parameters and spatial filtering was critical for the construction of a reliable habitat suitability model. MenosAim: Amazon-nut (Bertholletia excelsa) is a hyperdominant and protected tree species, playing a keystone role in nutrient cycling and ecosystem service provision in Amazonia. Our main goal was to develop a robust habitat suitability model of Amazon-nut and to identify the most important predictor variables to support conservation and tree planting decisions. Localization: Amazon region, South America. Methods: We collected 3,325 unique Amazon-nut records and assembled >100 spatial predictor variables organized across climatic, edaphic, and geophysical categories. We compared suitability models using variables (a) selected through statistical techniques; (b) recommended by experts; and (c) integrating both approaches (a and b). We applied different spatial filtering scenarios to reduce overfitting. We additionally fine-tuned MAXENT settings to our data. The best model was selected through quantitative and qualitative assessments. Results: Principal component analysis based on expert recommendations was the most appropriate method for predictor selection. Elevation, coarse soil fragments, clay, slope, and annual potential evapotranspiration were the most important predictors. Their relative contribution to the best model amounted to 75%. Filtering of the presences within a radius of 10 km displayed lowest overfitting, a satisfactory omission rate and the most symmetric distribution curve. Our findings suggest that under current environmental conditions, suitable habitat for Am... Mostrar Tudo |
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Palavras-Chave: |
Análise de componentes principais; Avaliação de modelo; Conhecimento especializado; Entropia máxima; Expert knowledge; Filtragem espacial; Maximum entropy; Model evaluation; Modelo de distribuição de espécie; Protected Amazonian species; Spatial filtering; Species distribution model. |
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Thesagro: |
Castanha. |
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Thesaurus Nal: |
Principal component analysis. |
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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/1159297/1/Strategies-to-optimize.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204836/1/CPAF-AP-2019-Strategies-to-optimize-modeling-habitat.pdf
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Marc: |
LEADER 03112naa a2200361 a 4500
001 2159297
005 2023-12-07
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/ece3.5726$2DOI
100 1 $aTOURNE, D. C. M.
245 $aStrategies to optimize modeling habitat suitability of Bertholletia excelsa in the Pan-Amazonia.$h[electronic resource]
260 $c2019
520 $aAim: Amazon-nut (Bertholletia excelsa) is a hyperdominant and protected tree species, playing a keystone role in nutrient cycling and ecosystem service provision in Amazonia. Our main goal was to develop a robust habitat suitability model of Amazon-nut and to identify the most important predictor variables to support conservation and tree planting decisions. Localization: Amazon region, South America. Methods: We collected 3,325 unique Amazon-nut records and assembled >100 spatial predictor variables organized across climatic, edaphic, and geophysical categories. We compared suitability models using variables (a) selected through statistical techniques; (b) recommended by experts; and (c) integrating both approaches (a and b). We applied different spatial filtering scenarios to reduce overfitting. We additionally fine-tuned MAXENT settings to our data. The best model was selected through quantitative and qualitative assessments. Results: Principal component analysis based on expert recommendations was the most appropriate method for predictor selection. Elevation, coarse soil fragments, clay, slope, and annual potential evapotranspiration were the most important predictors. Their relative contribution to the best model amounted to 75%. Filtering of the presences within a radius of 10 km displayed lowest overfitting, a satisfactory omission rate and the most symmetric distribution curve. Our findings suggest that under current environmental conditions, suitable habitat for Amazon-nut is found across 2.3 million km2, that is, 32% of the Amazon Biome. Main conclusion: The combination of statistical techniques with expert knowledge improved the quality of our suitability model. Topographic and soil variables were the most important predictors. The combination of predictor variable selection, fine-tuning of model parameters and spatial filtering was critical for the construction of a reliable habitat suitability model.
650 $aPrincipal component analysis
650 $aCastanha
653 $aAnálise de componentes principais
653 $aAvaliação de modelo
653 $aConhecimento especializado
653 $aEntropia máxima
653 $aExpert knowledge
653 $aFiltragem espacial
653 $aMaximum entropy
653 $aModel evaluation
653 $aModelo de distribuição de espécie
653 $aProtected Amazonian species
653 $aSpatial filtering
653 $aSpecies distribution model
700 1 $aBALLESTER, M. V. R.
700 1 $aJAMES, P. M. A.
700 1 $aMARTORANO, L. G.
700 1 $aGUEDES, M. C.
700 1 $aTHOMAS, E.
773 $tEcology and Evolution$gv. 9, n. 22, p. 12357-12960, Nov. 2019.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Gado de Leite. |
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Data corrente: |
17/07/2018 |
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Data da última atualização: |
22/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
GINDRI, P. C.; MION, B.; PRADIEÉ, J.; BIALVES, T. S.; SOUZA, G. N. de; DELLAGOSTIN, O. A.; SCHNEIDER, A.; PEGORARO, L. M. C. |
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Afiliação: |
Patrícia Carvalho Gindri, UFPel; Bruna Mion, UFPel; Jorgea Pradieé, UFPel; Tatiane Senna Bialves, UFPel; GUILHERME NUNES DE SOUZA, CNPGL; Odir Antônio Dellagostin, UFPel; Augusto Schneider, UFPel; LIGIA MARGARETH CANTARELLI PEGORARO, CPACT. |
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Título: |
Seroprevalence estimate and associated risk factors for neosporosis in dairy cattle in the northwest region of Rio Grande do Sul State, Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Ciência Rural, Santa Maria, v. 48, n. 7, e20170921, 2018. |
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DOI: |
https://doi.org/10.1590/0103-8478cr20170921 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
ABSTRACT - The aim of this study was to estimate neosporosis seroprevalence and its associated risk factors in milk herds (Bos taurus taurus) located in the northwestern region of Rio Grande do Sul State, Brazil. Three hundred twenty-two blood samples were collected from dairy cows on 18 farms in 17 cities of this region. An epidemiologic questionnaire was completed for each farm. It consisted of questions about the general characteristics of the herd, reproduction, and animal management. Serum samples were tested for Neospora caninum using a commercial enzyme-linked immunosorbent assay (ELISA) kit. Results indicated a seroprevalence of Neospora in 88.9% (16/18) of herds and 31.1% (100/322) of individuals. Risk factor analyses demonstrated that culling by reproductive disorder (OR = 0.6), flooding (OR = 0.5), and commercial sale (OR = 0.4) were associated with seroprevalence. Nevertheless, the purchase of replacement animals in the herd played an important role in disease occurrence (OR = 2.2). Results of this study suggested that Neospora caninum was present in the studied herds under investigation and that there are risk factors associated with its seroprevalence on the farms of the northwestern of Rio Grande do Sul. RESUMO - O objetivo desse estudo foi estimar a soroprevalência da neosporose e os possíveis fatores de risco em rebanhos (Bos taurus taurus) localizados na mesorregião Noroeste do Rio Grande do Sul, Brasil. Foram coletadas 322 amostras de sangue de bovinos leiteiros, em 18 propriedades localizadas em 17 munícipios desta mesorregião. Um questionário epidemiológico foi aplicado em cada propriedade, contendo questões relacionadas às características gerais dos rebanhos, dados reprodutivos e manejo animal. As amostras de soro foram testadas através do teste de imunoensaio enzimático (ELISA) para Neospora caninum. Os resultados demonstraram uma soroprevalência de Neospora de 88,9% (16/18) entre os rebanhos e 31,1% (100/322) entre os indivíduos. Entre os fatores de risco analisados foi observado que descarte por problemas reprodutivos (OR=0,6), presença de áreas alagadiças (OR=0,5) e venda comercial (OR=0,4) estavam associados a soroprevalência. No entanto, a compra de animais substituídos no rebanho desempenhou um papel significativo na ocorrência da doença (OR=2,2). Os resultados desse estudo sugerem que o Neospora caninum esteve presente nos rebanhos estudados, bem como, existem fatores associados com a soroprevalência nas propriedades da mesorregião do Noroeste do Rio Grande do Sul. MenosABSTRACT - The aim of this study was to estimate neosporosis seroprevalence and its associated risk factors in milk herds (Bos taurus taurus) located in the northwestern region of Rio Grande do Sul State, Brazil. Three hundred twenty-two blood samples were collected from dairy cows on 18 farms in 17 cities of this region. An epidemiologic questionnaire was completed for each farm. It consisted of questions about the general characteristics of the herd, reproduction, and animal management. Serum samples were tested for Neospora caninum using a commercial enzyme-linked immunosorbent assay (ELISA) kit. Results indicated a seroprevalence of Neospora in 88.9% (16/18) of herds and 31.1% (100/322) of individuals. Risk factor analyses demonstrated that culling by reproductive disorder (OR = 0.6), flooding (OR = 0.5), and commercial sale (OR = 0.4) were associated with seroprevalence. Nevertheless, the purchase of replacement animals in the herd played an important role in disease occurrence (OR = 2.2). Results of this study suggested that Neospora caninum was present in the studied herds under investigation and that there are risk factors associated with its seroprevalence on the farms of the northwestern of Rio Grande do Sul. RESUMO - O objetivo desse estudo foi estimar a soroprevalência da neosporose e os possíveis fatores de risco em rebanhos (Bos taurus taurus) localizados na mesorregião Noroeste do Rio Grande do Sul, Brasil. Foram coletadas 322 amostras de sangue de bovinos lei... Mostrar Tudo |
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Palavras-Chave: |
Reproductive diseases. |
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Thesagro: |
Neospora Caninum. |
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Thesaurus NAL: |
Cattle. |
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Categoria do assunto: |
--
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/188962/1/Artigo-Ciencia-Rural-Guilherme-Seroprevalence.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/179880/1/Ligia-Pegoraro-paper-final-CR.pdf
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Marc: |
LEADER 03386naa a2200253 a 4500
001 2102091
005 2022-08-22
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/0103-8478cr20170921$2DOI
100 1 $aGINDRI, P. C.
245 $aSeroprevalence estimate and associated risk factors for neosporosis in dairy cattle in the northwest region of Rio Grande do Sul State, Brazil.$h[electronic resource]
260 $c2018
520 $aABSTRACT - The aim of this study was to estimate neosporosis seroprevalence and its associated risk factors in milk herds (Bos taurus taurus) located in the northwestern region of Rio Grande do Sul State, Brazil. Three hundred twenty-two blood samples were collected from dairy cows on 18 farms in 17 cities of this region. An epidemiologic questionnaire was completed for each farm. It consisted of questions about the general characteristics of the herd, reproduction, and animal management. Serum samples were tested for Neospora caninum using a commercial enzyme-linked immunosorbent assay (ELISA) kit. Results indicated a seroprevalence of Neospora in 88.9% (16/18) of herds and 31.1% (100/322) of individuals. Risk factor analyses demonstrated that culling by reproductive disorder (OR = 0.6), flooding (OR = 0.5), and commercial sale (OR = 0.4) were associated with seroprevalence. Nevertheless, the purchase of replacement animals in the herd played an important role in disease occurrence (OR = 2.2). Results of this study suggested that Neospora caninum was present in the studied herds under investigation and that there are risk factors associated with its seroprevalence on the farms of the northwestern of Rio Grande do Sul. RESUMO - O objetivo desse estudo foi estimar a soroprevalência da neosporose e os possíveis fatores de risco em rebanhos (Bos taurus taurus) localizados na mesorregião Noroeste do Rio Grande do Sul, Brasil. Foram coletadas 322 amostras de sangue de bovinos leiteiros, em 18 propriedades localizadas em 17 munícipios desta mesorregião. Um questionário epidemiológico foi aplicado em cada propriedade, contendo questões relacionadas às características gerais dos rebanhos, dados reprodutivos e manejo animal. As amostras de soro foram testadas através do teste de imunoensaio enzimático (ELISA) para Neospora caninum. Os resultados demonstraram uma soroprevalência de Neospora de 88,9% (16/18) entre os rebanhos e 31,1% (100/322) entre os indivíduos. Entre os fatores de risco analisados foi observado que descarte por problemas reprodutivos (OR=0,6), presença de áreas alagadiças (OR=0,5) e venda comercial (OR=0,4) estavam associados a soroprevalência. No entanto, a compra de animais substituídos no rebanho desempenhou um papel significativo na ocorrência da doença (OR=2,2). Os resultados desse estudo sugerem que o Neospora caninum esteve presente nos rebanhos estudados, bem como, existem fatores associados com a soroprevalência nas propriedades da mesorregião do Noroeste do Rio Grande do Sul.
650 $aCattle
650 $aNeospora Caninum
653 $aReproductive diseases
700 1 $aMION, B.
700 1 $aPRADIEÉ, J.
700 1 $aBIALVES, T. S.
700 1 $aSOUZA, G. N. de
700 1 $aDELLAGOSTIN, O. A.
700 1 $aSCHNEIDER, A.
700 1 $aPEGORARO, L. M. C.
773 $tCiência Rural, Santa Maria$gv. 48, n. 7, e20170921, 2018.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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