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| 13. |  | VIANA, J. H. M.; DONAGEMMA, G. K. Granulometria dos solos da RCC de Roraima: subsídios a sua gênese, classificação e manejo. In: BATISTA, K. D.; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de; VALE JÚNIOR, J. F. do (Ed.). Guia de campo da XI Reunião Brasileira de Classificação e Correlação de Solos: RCC de Roraima. Brasília, DF: Embrapa, 2018. cap. 5.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Solos. |
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| 16. | | DONAGEMMA, G. K.; VIANA, J. H. M. Argila dispersa em água e grau de floculação. In: TEIXEIRA, P. C.; DONAGEMMA, G. K.; FONTANA, A.; TEIXEIRA, W. G. (Ed.). Manual de métodos de análise de solo. 3. ed. rev. e ampl. Brasília, DF: Embrapa, 2017. pt. 1, cap. 11, p. 117-124.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Solos. |
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| 17. | | VIANA, J. H. M.; DONAGEMMA, G. K. Análise granulométrica e fracionamento de areias como subsídio para a interpretação de perfis de solos da RCC de Rondônia. In: LUMBRERAS, J. F.; SILVA, L. M. da; ANJOS, L. H. C. dos; OLIVEIRA, V. A. de; WADT, P. G. S.; PEREIRA, M. G.; DELARMELINDA-HONORÉ, E. A.; BURITY, K. T. L. (Ed.). Guia de campo da XII Reunião Brasileira de Classificação e Correlação de Solos: RCC de Rondônia. Brasília, DF: Embrapa, 2019. E-book. cap. 11.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 633 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
05/12/2023 |
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Data da última atualização: |
05/12/2023 |
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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: |
METCALF, O. C.; BARLOW, J.; MARSDEN, S.; MOURA, N. G. de; BERENGUER, E.; FERREIRA, J. N.; LEES, A. C. |
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Afiliação: |
OLIVER C. METCALF, Manchester Metropolitan University; JOS BARLOW, UFLA / Lancaster University / MPEG; STUART MARSDEN, Manchester Metropolitan University; NARGILA GOMES DE MOURA, Cornell University; ERIKA BERENGUER, Lancaster University / University of Oxford; JOICE NUNES FERREIRA, CPATU; ALEXANDER C. LEES, Manchester Metropolitan University / Cornell University. |
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Título: |
Optimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Remote Sensing in Ecology and Conservation, v. 8, n. 1, p. 45-56, 2022. |
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DOI: |
https://doi.org/10.1002/rse2.227 |
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Idioma: |
Inglês |
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Conteúdo: |
Estimation of avian biodiversity is a cornerstone measure of ecosystem condition. Surveys conducted using autonomous recorders are often more efficient at estimating diversity than traditional point-count surveys. However, there is limited research into the optimal temporal resolution for sampling-the trade-off between the number of samples and sample duration when sampling a survey window with a fixed survey effort-despite autonomous recorders allowing easy repeat sampling compared to traditional survey methods. We assess whether the additional temporal coverage from high temporal resolution (HTR) sampling, consisting of 240 15-s samples spread randomly across a survey window detects higher alpha and gamma diversity than low temporal resolution (LTR) sampling of four 15-min samples at the same locations. We do so using an acoustic dataset collected from 29 locations in a region of very high avian biodiversity-the eastern Brazilian Amazon. We find HTR sampling outperforms LTR sampling in every metric considered, with HTR sampling predicted to detect approximately 50% higher alpha diversity, and 10% higher gamma diversity. This effect is primarily driven by increased coverage of variation in detectability across the morning, with the earliest period containing a distinct community that is often under sampled using LTR sampling. LTR sampling produced almost four times as many false absences for species presence. Additionally, LTR sampling incorrectly found 70 species (34%) at only a single forest type when they were in fact present in multiple forest types, while the use of HTR sampling reduced this to just two species (0.9%). When considering multiple independent detections of species, HTR sampling detected three times more uncommon species than LTR sampling. We conclude that high temporal resolution sampling of passive-acoustic monitoring-based surveys should be considered the primary method for estimating the species richness of bird communities in tropical forests. MenosEstimation of avian biodiversity is a cornerstone measure of ecosystem condition. Surveys conducted using autonomous recorders are often more efficient at estimating diversity than traditional point-count surveys. However, there is limited research into the optimal temporal resolution for sampling-the trade-off between the number of samples and sample duration when sampling a survey window with a fixed survey effort-despite autonomous recorders allowing easy repeat sampling compared to traditional survey methods. We assess whether the additional temporal coverage from high temporal resolution (HTR) sampling, consisting of 240 15-s samples spread randomly across a survey window detects higher alpha and gamma diversity than low temporal resolution (LTR) sampling of four 15-min samples at the same locations. We do so using an acoustic dataset collected from 29 locations in a region of very high avian biodiversity-the eastern Brazilian Amazon. We find HTR sampling outperforms LTR sampling in every metric considered, with HTR sampling predicted to detect approximately 50% higher alpha diversity, and 10% higher gamma diversity. This effect is primarily driven by increased coverage of variation in detectability across the morning, with the earliest period containing a distinct community that is often under sampled using LTR sampling. LTR sampling produced almost four times as many false absences for species presence. Additionally, LTR sampling incorrectly found 70 species (34%) at ... Mostrar Tudo |
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Palavras-Chave: |
Bioacustica. |
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Thesagro: |
Ave Selvagem; Floresta Tropical. |
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Thesaurus NAL: |
Tropical forests. |
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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/1159178/1/Optimizing-tropical.pdf
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Marc: |
LEADER 02787naa a2200253 a 4500
001 2159178
005 2023-12-05
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/rse2.227$2DOI
100 1 $aMETCALF, O. C.
245 $aOptimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling.$h[electronic resource]
260 $c2022
520 $aEstimation of avian biodiversity is a cornerstone measure of ecosystem condition. Surveys conducted using autonomous recorders are often more efficient at estimating diversity than traditional point-count surveys. However, there is limited research into the optimal temporal resolution for sampling-the trade-off between the number of samples and sample duration when sampling a survey window with a fixed survey effort-despite autonomous recorders allowing easy repeat sampling compared to traditional survey methods. We assess whether the additional temporal coverage from high temporal resolution (HTR) sampling, consisting of 240 15-s samples spread randomly across a survey window detects higher alpha and gamma diversity than low temporal resolution (LTR) sampling of four 15-min samples at the same locations. We do so using an acoustic dataset collected from 29 locations in a region of very high avian biodiversity-the eastern Brazilian Amazon. We find HTR sampling outperforms LTR sampling in every metric considered, with HTR sampling predicted to detect approximately 50% higher alpha diversity, and 10% higher gamma diversity. This effect is primarily driven by increased coverage of variation in detectability across the morning, with the earliest period containing a distinct community that is often under sampled using LTR sampling. LTR sampling produced almost four times as many false absences for species presence. Additionally, LTR sampling incorrectly found 70 species (34%) at only a single forest type when they were in fact present in multiple forest types, while the use of HTR sampling reduced this to just two species (0.9%). When considering multiple independent detections of species, HTR sampling detected three times more uncommon species than LTR sampling. We conclude that high temporal resolution sampling of passive-acoustic monitoring-based surveys should be considered the primary method for estimating the species richness of bird communities in tropical forests.
650 $aTropical forests
650 $aAve Selvagem
650 $aFloresta Tropical
653 $aBioacustica
700 1 $aBARLOW, J.
700 1 $aMARSDEN, S.
700 1 $aMOURA, N. G. de
700 1 $aBERENGUER, E.
700 1 $aFERREIRA, J. N.
700 1 $aLEES, A. C.
773 $tRemote Sensing in Ecology and Conservation$gv. 8, n. 1, p. 45-56, 2022.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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| Registros recuperados : 1 | |
| 1. | | 1250047, CEPALINDEX; RESUMENES DE DOCUMENTOS CEPAL/ILPES, Comision Economica para America Latina. Centro Latino Americano de Documentacion Economica y Social, Santiago-Chile
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Amazônia Oriental; Embrapa Meio-Norte; Embrapa Soja. | |
| Registros recuperados : 1 | |
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