| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pantanal. |
|
Data corrente: |
02/12/2021 |
|
Data da última atualização: |
02/12/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
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. |
|
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. |
|
Título: |
The relationship between scale and predictor variables in species distribution models applied to conservation. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Biodiversity and Conservation, v. 30, p. 1971-1990, 2021. |
|
DOI: |
https://doi.org/10.1007/s10531-021-02176-w |
|
Idioma: |
Português |
|
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 |
|
Thesagro: |
Arara. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pantanal (CPAP) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 10 | |
| 1. |  | ZUMÁRRAGA, M. J.; CATALDI, A.; ARAUJO, F. R.; DIB, C. C.; ROXO, E. Caracterização genética de Mycobacterium bovis em animais de cinco estados brasileiros. O Biológico, São Paulo, SP, v. 74, n. 2, p 95 , jul./dez. 2012. Edição dos resumos da 25ª Reunião Anual do Instituto Biológico, São Paulo, 2012 e 10º Congresso de Iniciação Científica em Ciências Agrárias Biológicas e Ambientais - CICAM, agosto, 2012. Resumo 09.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
|   |
| 4. | | BARBOSA, J. D.; VINHOTE, W. M. S.; PASSOS, M. B.; SOUZA, M. G.; ARAUJO, F. R.; DIB, C. C.; ROXO, E. Ocorrência de tuberculosa e brucelose em búfalos no etado do Pará, Brasil. O Biológico, São Paulo, SP, v. 74, n. 2, p. 96 , jul./dez. 2012. Edição dos resumos da 25ª Reunião Anual do Instituto Biológico, São Paulo, 2012 e 10º Congresso de Iniciação Científica em Ciências Agrárias Biológicas e Ambientais - CICAM, agosto, 2012. Resumo 011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 5. | | ABRAMOVAY, R.; FERREIRA, J. N.; COSTA, F. de A.; EHRLICH, M.; EULER, A. M. C.; YOUNG, C. E. F.; KAIMOWITZ, D.; MOUTINHO, P.; NOBRE, I.; ROGEZ, H.; ROXO, E.; SCHOR, T.; VILLANOVA, L. The new bioeconomy in the Amazon: opportunities and challenges for a healthy standing forest and flowing rivers. In: SCIENCE panel for the Amazon: Amazon assessment report 2021: part III: The Solution space: finding sustainable pathways for the Amazon. New York, NY: United Nations Sustainable Development Solutions Network, 2021. Cap. 30, pag. irregular.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Oriental. |
|  |
| 6. | | ARAUJO, C. P.; OSORIO, A. L. A. R.; JORGE, K. S. G.; RAMOS, C. A. N.; FILHO, A. F. S.; VIDAL, C. E. S.; ROXO, E.; ROCHA, A.; FONSECA JUNIOR, A. A.; SILVA, M. R.; ARAUJO, F. R. Direct detection of Mycobacterium sp in bovine and bubaline tissues by PCR. In: SIMPÓSIO EMBRAPA LABEX EUA DE SANIDADE ANIMAL, 2., 2012, Brasília, DF. Anais... Brasília, DF: Embrapa Estudos e Capacitação, 2012. p. 42.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 7. | | PATANE, J. S. L.; MARTINS JUNIOR, J.; CASTELÃO, A. B.; NISHIBE, C.; MONTERA, L.; BIGI, F.; ZUMÁRRAGA, M. J.; CATALDI, A. A.; FONSECA JUNIOR, A.; ROXO, E.; OSÓRIO, A. L. A. R.; JORGE, K. S.; THACKER, T. C.; ALMEIDA, N. F.; ARAUJO, F. R.; SETUBAL, J. C. Patterns and Processes of Mycobacterium bovis Evolution Revealed by Phylogenomic Analyses. Genome Biology and Evolution, v. 9, n. 3, p. 521-535, March 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 8. | | ARAÚJO, C. P.; OSÓRIO, A. L. A. R.; JORGE, K. S. G.; RAMOS, C. A. N.; SOUZA FILHO, A. F.; VIDAL, C. E. S.; VARGAS, A. P. C.; ROXO, E; ROCHA, A. S.; SUFFYS, P. N.; FONSECA JÚNIOR, A. A.; SILVA, M. R.; BARBOSA NETO, J. D.; CERQUEIRA, V. D.; ARAUJO, F. R. Direct detection of Mycobacterium tuberculosis complex in bovine and bubaline tissues through nested-PCR. Brazilian Journal of Microbiology 45, 2, 2014, P. 633-640., 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
| |
| 9. | | ARAUJO, C. P.; OSÓRIO, A. L. A. R.; JORGE, K. S. G.; RAMOS, C. A. N.; S. FILHO, A. F.; VIDAL, C. E. S.; ROXO, E.; NISHIBE, c.; ALMEIDA, N. F.; F. JUNIOR, A. A.; SILVA, M. R.; B. NETO, J. D.; CERQUEIRA, V. D.; ZUMÁRRAGA, M.; ARAUJO, F. R. Detection of Mycobacterium bovis in Bovine and Bubaline Tissues Using Nested-PCR for TbD1. Plos One, v. 9, n. 3, p. 1-6, 2014| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
| |
| 10. | | ARAÚJO, C. P. de; ARAÚJO, C. P.; OSÓRIO, A. L. A. R.; JORGE, K. S. G.; RAMOS, C. A. N.; SOUZA FILHO, A. F.; VIDAL, C. E. S.; ROXO, E.; DIB, C. C.; ROCHA, A; FONSECA JÚNIOR, A. A.; SILVA, M. R.; ARAUJO, F. R. Diagnóstico de tuberculose por PCR Tempo Real em tecidos de bovinos. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 7., 2011, CAMPO GRANDE, MS. [Anais da]... Campo Grande, MS: Embrapa Gado de Corte, 2011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| Registros recuperados : 10 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
