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Artigo de periodico
A new index to estimate ecological generalisation in consumer-resource interactions (2024)
Montoya-Bustamante, Sebastián ; Dormann, Carsten F ; Krasnov, Boris R ; Mello, Marco A. R
Fonte: Methods in Ecology and Evolution. Unidade: IB
Assunto: ECOLOGIA DE INTERAÇÕES
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ABNT
MONTOYA-BUSTAMANTE, Sebastián et al. A new index to estimate ecological generalisation in consumer-resource interactions. Methods in Ecology and Evolution, 2024Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.14284. Acesso em: 19 nov. 2025.
APA
Montoya-Bustamante, S., Dormann, C. F., Krasnov, B. R., & Mello, M. A. R. (2024). A new index to estimate ecological generalisation in consumer-resource interactions. Methods in Ecology and Evolution. doi:10.1111/2041-210X.14284
NLM
Montoya-Bustamante S, Dormann CF, Krasnov BR, Mello MAR. A new index to estimate ecological generalisation in consumer-resource interactions [Internet]. Methods in Ecology and Evolution. 2024 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.14284
Vancouver
Montoya-Bustamante S, Dormann CF, Krasnov BR, Mello MAR. A new index to estimate ecological generalisation in consumer-resource interactions [Internet]. Methods in Ecology and Evolution. 2024 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.14284
Artigo de periodico
Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists (2022)
Silva, Carlos Alberto; Hudak, Andrew T; Vierling, Lee A; Valbuena, Ruben; Cardil, Adrian; Mohan, Midhun; Almeida, Danilo Roberti Alves de ; Broadbent, Eben North ; Zambrano, Angelica M. Almeyda; Wilkinson, Ben; Sharma, Ajay; Drake, Jason B; Medley, Paul B; Vogel, Jason G; Prata, Gabriel Atticciati; Atkins, Jeff W; Hamamura, Caio; Johnson, Daniel J; Klauberg, Carine
Fonte: Methods in Ecology and Evolution. Unidade: ESALQ
Assuntos: ÁRVORES FLORESTAIS, DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), R (SOFTWARE ESTATÍSTICO), TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Carlos Alberto et al. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, v. 13, 2022Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13830. Acesso em: 19 nov. 2025.
APA
Silva, C. A., Hudak, A. T., Vierling, L. A., Valbuena, R., Cardil, A., Mohan, M., et al. (2022). Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, 13. doi:10.1111/2041-210X.13830
NLM
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13830
Vancouver
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13830
Artigo de periodico
paleobuddy: an R package for flexible simulations of diversification and fossil sampling (2022)
Petrucci, Bruno do Rosario ; Januario, Matheus ; Quental, Tiago
Fonte: Methods in Ecology and Evolution. Unidade: IB
Assuntos: FÓSSEIS, ECOLOGIA EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PETRUCCI, Bruno do Rosario e JANUARIO, Matheus e QUENTAL, Tiago. paleobuddy: an R package for flexible simulations of diversification and fossil sampling. Methods in Ecology and Evolution, 2022Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13996. Acesso em: 19 nov. 2025.
APA
Petrucci, B. do R., Januario, M., & Quental, T. (2022). paleobuddy: an R package for flexible simulations of diversification and fossil sampling. Methods in Ecology and Evolution. doi:10.1111/2041-210X.13996
NLM
Petrucci B do R, Januario M, Quental T. paleobuddy: an R package for flexible simulations of diversification and fossil sampling [Internet]. Methods in Ecology and Evolution. 2022 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13996
Vancouver
Petrucci B do R, Januario M, Quental T. paleobuddy: an R package for flexible simulations of diversification and fossil sampling [Internet]. Methods in Ecology and Evolution. 2022 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13996
Artigo de periodico
A quantitative framework to infer the effect of traits, diversity and environment on dispersal and extinction rates from fossils (2022)
Hauffe, Torsten; Pires, Mathias M ; Quental, Tiago ; Wilke, Thomas; Silvestro, Daniele
Fonte: Methods in Ecology and Evolution. Unidade: IB
Assuntos: FÓSSEIS, PALEONTOLOGIA, EVOLUÇÃO ANIMAL, BIODIVERSIDADE, ECOLOGIA EVOLUTIVA
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ABNT
HAUFFE, Torsten et al. A quantitative framework to infer the effect of traits, diversity and environment on dispersal and extinction rates from fossils. Methods in Ecology and Evolution, 2022Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13845. Acesso em: 19 nov. 2025.
APA
Hauffe, T., Pires, M. M., Quental, T., Wilke, T., & Silvestro, D. (2022). A quantitative framework to infer the effect of traits, diversity and environment on dispersal and extinction rates from fossils. Methods in Ecology and Evolution. doi:10.1111/2041-210X.13845
NLM
Hauffe T, Pires MM, Quental T, Wilke T, Silvestro D. A quantitative framework to infer the effect of traits, diversity and environment on dispersal and extinction rates from fossils [Internet]. Methods in Ecology and Evolution. 2022 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13845
Vancouver
Hauffe T, Pires MM, Quental T, Wilke T, Silvestro D. A quantitative framework to infer the effect of traits, diversity and environment on dispersal and extinction rates from fossils [Internet]. Methods in Ecology and Evolution. 2022 ;[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13845
Artigo de periodico
ForestGapR: An r Package for forest gap analysis from canopy height models (2019)
Silva, Carlos A; Valbuena, Ruben; Pinage, Ekena R; Mohan, Midhun; Almeida, Danilo Roberti Alves de ; North, Eben; Jaafar, Wan Shafrina Wan Mohd; Papa, Daniel de Almeida; Cardil, Adrian; Klauberg, Carine
Fonte: Methods in Ecology and Evolution. Unidade: ESALQ
Assuntos: DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), FLORESTAS TROPICAIS, FRAGMENTAÇÃO FLORESTAL, R (SOFTWARE ESTATÍSTICO), SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Carlos A et al. ForestGapR: An r Package for forest gap analysis from canopy height models. Methods in Ecology and Evolution, v. 10, p. 1347–1356, 2019Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13211. Acesso em: 19 nov. 2025.
APA
Silva, C. A., Valbuena, R., Pinage, E. R., Mohan, M., Almeida, D. R. A. de, North, E., et al. (2019). ForestGapR: An r Package for forest gap analysis from canopy height models. Methods in Ecology and Evolution, 10, 1347–1356. doi:10.1111/2041-210X.13211
NLM
Silva CA, Valbuena R, Pinage ER, Mohan M, Almeida DRA de, North E, Jaafar WSWM, Papa D de A, Cardil A, Klauberg C. ForestGapR: An r Package for forest gap analysis from canopy height models [Internet]. Methods in Ecology and Evolution. 2019 ; 10 1347–1356.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13211
Vancouver
Silva CA, Valbuena R, Pinage ER, Mohan M, Almeida DRA de, North E, Jaafar WSWM, Papa D de A, Cardil A, Klauberg C. ForestGapR: An r Package for forest gap analysis from canopy height models [Internet]. Methods in Ecology and Evolution. 2019 ; 10 1347–1356.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13211
Artigo de periodico
Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature (2019)
Reis, Clausius Duque Gonçalves ; Padovese, Linilson Rodrigues ; Oliveira, Maria Cristina Ferreira de
Fonte: Methods in Ecology and Evolution. Unidades: EP, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS, ESPECTROGRAFIA DO SOM, POLUIÇÃO SONORA, ECOSSISTEMAS MARINHOS, CONSERVAÇÃO BIOLÓGICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Clausius Duque Gonçalves e PADOVESE, Linilson Rodrigues e OLIVEIRA, Maria Cristina Ferreira de. Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature. Methods in Ecology and Evolution, v. 10, n. 9, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13245. Acesso em: 19 nov. 2025.
APA
Reis, C. D. G., Padovese, L. R., & Oliveira, M. C. F. de. (2019). Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature. Methods in Ecology and Evolution, 10( 9), Se 2019. doi:10.1111/2041-210X.13245
NLM
Reis CDG, Padovese LR, Oliveira MCF de. Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature [Internet]. Methods in Ecology and Evolution. 2019 ; 10( 9): Se 2019.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13245
Vancouver
Reis CDG, Padovese LR, Oliveira MCF de. Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature [Internet]. Methods in Ecology and Evolution. 2019 ; 10( 9): Se 2019.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1111/2041-210X.13245

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