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Artigo de periodico
Credit credibility threatens forests (2023)
Balmford, Andrew; Brancalion, Pedro Henrique Santin ; Coomes, David; Filewod, Ben; Groom, Ben; Guizar-Coutiño, Alejandro; Jones, Julia P. G; Keshav, Srinivasan; Kontoleon, Andreas; Madhavapeddy, Anil; Malhi, Yadvinder; Sills, Erin O; Strassburg, Bernardo B. N; Venmans, Frank; West, Thales A. P; Wheeler, Charlotte; Swinfield, Tom
Source: Science. Unidade: ESALQ
Subjects: AQUECIMENTO GLOBAL, BIODIVERSIDADE, CARBONO, FLORESTAS TROPICAIS, IMPACTOS AMBIENTAIS, MUDANÇA CLIMÁTICA, PROTEÇÃO FLORESTAL
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ABNT
BALMFORD, Andrew et al. Credit credibility threatens forests. Science, v. 380, n. 6644, p. 466-467, 2023Tradução . . Disponível em: https://doi.org/10.1126/science.adh3426. Acesso em: 03 jul. 2024.
APA
Balmford, A., Brancalion, P. H. S., Coomes, D., Filewod, B., Groom, B., Guizar-Coutiño, A., et al. (2023). Credit credibility threatens forests. Science, 380( 6644), 466-467. doi:10.1126/science.adh3426
NLM
Balmford A, Brancalion PHS, Coomes D, Filewod B, Groom B, Guizar-Coutiño A, Jones JPG, Keshav S, Kontoleon A, Madhavapeddy A, Malhi Y, Sills EO, Strassburg BBN, Venmans F, West TAP, Wheeler C, Swinfield T. Credit credibility threatens forests [Internet]. Science. 2023 ; 380( 6644): 466-467.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1126/science.adh3426
Vancouver
Balmford A, Brancalion PHS, Coomes D, Filewod B, Groom B, Guizar-Coutiño A, Jones JPG, Keshav S, Kontoleon A, Madhavapeddy A, Malhi Y, Sills EO, Strassburg BBN, Venmans F, West TAP, Wheeler C, Swinfield T. Credit credibility threatens forests [Internet]. Science. 2023 ; 380( 6644): 466-467.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1126/science.adh3426
Artigo de periodico
Can arbuscular mycorrhizal fungi and rhizobacteria facilitate 33P uptake in maize plants under water stress? (2023)
Silva, Antonio M. M; Jones, Davey L; Chadwick, Dave R; Qi, Xue; Cotta, Simone Raposo ; Araújo, Victor Lucas Vieira Prudêncio de; Matteoli, Filipe Pereira; Lacerda-Júnior, Gileno V; Pereira, Arthur P. A; Fernandes-Júnior, Paulo I; Cardoso, Elke Jurandy Bran Nogueira
Source: Microbiological Research. Unidades: ESALQ, CENA
Subjects: BACTÉRIAS, DEFICIT HÍDRICO, ESTIMULANTES DE CRESCIMENTO VEGETAL, FÓSFORO, FUNGOS MICORRÍZICOS, MICROBIOLOGIA DO SOLO, MILHO, NUTRIÇÃO VEGETAL, TRAÇADORES ISOTÓPICOS
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ABNT
SILVA, Antonio M. M et al. Can arbuscular mycorrhizal fungi and rhizobacteria facilitate 33P uptake in maize plants under water stress?. Microbiological Research, v. 271, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.micres.2023.127350. Acesso em: 03 jul. 2024.
APA
Silva, A. M. M., Jones, D. L., Chadwick, D. R., Qi, X., Cotta, S. R., Araújo, V. L. V. P. de, et al. (2023). Can arbuscular mycorrhizal fungi and rhizobacteria facilitate 33P uptake in maize plants under water stress? Microbiological Research, 271, 1-12. doi:10.1016/j.micres.2023.127350
NLM
Silva AMM, Jones DL, Chadwick DR, Qi X, Cotta SR, Araújo VLVP de, Matteoli FP, Lacerda-Júnior GV, Pereira APA, Fernandes-Júnior PI, Cardoso EJBN. Can arbuscular mycorrhizal fungi and rhizobacteria facilitate 33P uptake in maize plants under water stress? [Internet]. Microbiological Research. 2023 ; 271 1-12.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.micres.2023.127350
Vancouver
Silva AMM, Jones DL, Chadwick DR, Qi X, Cotta SR, Araújo VLVP de, Matteoli FP, Lacerda-Júnior GV, Pereira APA, Fernandes-Júnior PI, Cardoso EJBN. Can arbuscular mycorrhizal fungi and rhizobacteria facilitate 33P uptake in maize plants under water stress? [Internet]. Microbiological Research. 2023 ; 271 1-12.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.micres.2023.127350
Artigo de periodico
A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits (2022)
Stoddart, Jaz; Almeida, Danilo Roberti Alves de ; Silva, Carlos Alberto; Görgens, Eric Bastos; Keller, Michael; Valbuena, Ruben
Source: Remote Sensing. Unidade: ESALQ
Subjects: CARBONO, CORTE (PLANTAS), DOSSEL (BOTÂNICA), ECOSSISTEMAS FLORESTAIS, FLORESTAS TROPICAIS, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
STODDART, Jaz et al. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits. Remote Sensing, v. 14, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14040933. Acesso em: 03 jul. 2024.
APA
Stoddart, J., Almeida, D. R. A. de, Silva, C. A., Görgens, E. B., Keller, M., & Valbuena, R. (2022). A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits. Remote Sensing, 14, 1-20. doi:10.3390/rs14040933
NLM
Stoddart J, Almeida DRA de, Silva CA, Görgens EB, Keller M, Valbuena R. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits [Internet]. Remote Sensing. 2022 ; 14 1-20.[citado 2024 jul. 03 ] Available from: https://doi.org/10.3390/rs14040933
Vancouver
Stoddart J, Almeida DRA de, Silva CA, Görgens EB, Keller M, Valbuena R. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits [Internet]. Remote Sensing. 2022 ; 14 1-20.[citado 2024 jul. 03 ] Available from: https://doi.org/10.3390/rs14040933
Artigo de periodico
Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence (2021)
d'Oliveira, Marcus Vinicio Neves; Figueiredo, Evandro Orfanó; Almeida, Danilo Roberti Alves de ; Oliveira, Luis Claudio; Silva, Carlos Alberto; Nelson, Bruce Walker; Cunha, Renato Mesquita da; Papa, Daniel de Almeida; Stark, Scott C; Valbuena, Ruben
Source: Forest Ecology and Management. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, BIOMASSA, DOSSEL (BOTÂNICA), FLORESTAS TROPICAIS, FOTOGRAMETRIA, MANEJO FLORESTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
D'OLIVEIRA, Marcus Vinicio Neves et al. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. Forest Ecology and Management, v. 500, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.foreco.2021.119648. Acesso em: 03 jul. 2024.
APA
d'Oliveira, M. V. N., Figueiredo, E. O., Almeida, D. R. A. de, Oliveira, L. C., Silva, C. A., Nelson, B. W., et al. (2021). Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. Forest Ecology and Management, 500, 1-12. doi:10.1016/j.foreco.2021.119648
NLM
d'Oliveira MVN, Figueiredo EO, Almeida DRA de, Oliveira LC, Silva CA, Nelson BW, Cunha RM da, Papa D de A, Stark SC, Valbuena R. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence [Internet]. Forest Ecology and Management. 2021 ; 500 1-12.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.foreco.2021.119648
Vancouver
d'Oliveira MVN, Figueiredo EO, Almeida DRA de, Oliveira LC, Silva CA, Nelson BW, Cunha RM da, Papa D de A, Stark SC, Valbuena R. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence [Internet]. Forest Ecology and Management. 2021 ; 500 1-12.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.foreco.2021.119648
Artigo de periodico
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion (2021)
Almeida, Danilo Roberti Alves de ; Broadbent, Eben North ; Ferreira, Matheus Pinheiro; Meli, Paula ; Zambrano, Angelica Maria Almeyda ; Gorgens, Eric Bastos ; Resende, Angelica Faria ; Almeida, Catherine Torres de ; Amaral, Cibele Hummel do; Dalla Corte, Ana Paula; Silva, Carlos Alberto; Romanelli, João Paulo ; Prata, Gabriel Atticciati ; Papa, Daniel de Almeida ; Stark, Scott C; Valbuena, Ruben; Nelson, Bruce Walker; Guillemot, Joannes ; Féret, Jean-Baptiste; Chazdon, Robin; Brancalion, Pedro Henrique Santin
Source: Remote Sensing of Environment. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, BIODIVERSIDADE, ECOLOGIA DA RESTAURAÇÃO, FLORESTAS TROPICAIS, MONITORAMENTO AMBIENTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
ALMEIDA, Danilo Roberti Alves de et al. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, v. 264, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2021.112582. Acesso em: 03 jul. 2024.
APA
Almeida, D. R. A. de, Broadbent, E. N., Ferreira, M. P., Meli, P., Zambrano, A. M. A., Gorgens, E. B., et al. (2021). Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, 264, 1-13. doi:10.1016/j.rse.2021.112582
NLM
Almeida DRA de, Broadbent EN, Ferreira MP, Meli P, Zambrano AMA, Gorgens EB, Resende AF, Almeida CT de, Amaral CH do, Dalla Corte AP, Silva CA, Romanelli JP, Prata GA, Papa D de A, Stark SC, Valbuena R, Nelson BW, Guillemot J, Féret J-B, Chazdon R, Brancalion PHS. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion [Internet]. Remote Sensing of Environment. 2021 ; 264 1-13.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.rse.2021.112582
Vancouver
Almeida DRA de, Broadbent EN, Ferreira MP, Meli P, Zambrano AMA, Gorgens EB, Resende AF, Almeida CT de, Amaral CH do, Dalla Corte AP, Silva CA, Romanelli JP, Prata GA, Papa D de A, Stark SC, Valbuena R, Nelson BW, Guillemot J, Féret J-B, Chazdon R, Brancalion PHS. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion [Internet]. Remote Sensing of Environment. 2021 ; 264 1-13.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.rse.2021.112582
Artigo de periodico
Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data (2020)
Rex, Franciel Eduardo; Silva, Carlos Alberto; Dalla Corte, Ana Paula; Klauberg, Carine; Mohan, Midhun ; Cardil, Adrian ; Silva, Vanessa Sousa da; Almeida, Danilo Roberti Alves de ; Garcia, Mariano; Broadbent, Eben North ; Valbuena, Ruben; Stoddart, Jaz; Merrick, Trina; Hudak, Andrew Thomas
Source: Remote Sensing. Unidade: ESALQ
Subjects: BIOMASSA, FLORESTAS TROPICAIS, MADEIRA, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO, SEQUESTRO DE CARBONO, TECNOLOGIA LIDAR
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ABNT
REX, Franciel Eduardo et al. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, v. 12, n. 1498, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12091498. Acesso em: 03 jul. 2024.
APA
Rex, F. E., Silva, C. A., Dalla Corte, A. P., Klauberg, C., Mohan, M., Cardil, A., et al. (2020). Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, 12( 1498), 1-20. doi:10.3390/rs12091498
NLM
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 jul. 03 ] Available from: https://doi.org/10.3390/rs12091498
Vancouver
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 jul. 03 ] Available from: https://doi.org/10.3390/rs12091498
Artigo de periodico
Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar (2020)
Almeida, Danilo Roberti Alves de ; Zambrano, A. M. Almeyda; Broadbent, E. N; Wendt, A. L; Foster, P; Wilkinson, B. E; Salk, C; Papa, D. D. A; Stark, S. C; Valbuena, R; Gorgens, E. B; Silva, C. A; Brancalion, Pedro Henrique Santin ; Fagan, M; Meli, Paula; Chazdon, R
Source: Biotropica. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, BIOMASSA, FLORESTAS TROPICAIS, ÍNDICE DE ÁREA FOLIAR, MONITORAMENTO AMBIENTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
ALMEIDA, Danilo Roberti Alves de et al. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1111/btp.12814. Acesso em: 03 jul. 2024.
APA
Almeida, D. R. A. de, Zambrano, A. M. A., Broadbent, E. N., Wendt, A. L., Foster, P., Wilkinson, B. E., et al. (2020). Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, 1-13. doi:10.1111/btp.12814
NLM
Almeida DRA de, Zambrano AMA, Broadbent EN, Wendt AL, Foster P, Wilkinson BE, Salk C, Papa DDA, Stark SC, Valbuena R, Gorgens EB, Silva CA, Brancalion PHS, Fagan M, Meli P, Chazdon R. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar [Internet]. Biotropica. 2020 ; 1-13.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1111/btp.12814
Vancouver
Almeida DRA de, Zambrano AMA, Broadbent EN, Wendt AL, Foster P, Wilkinson BE, Salk C, Papa DDA, Stark SC, Valbuena R, Gorgens EB, Silva CA, Brancalion PHS, Fagan M, Meli P, Chazdon R. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar [Internet]. Biotropica. 2020 ; 1-13.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1111/btp.12814
Artigo de periodico
Monitoring the structure of forest restoration plantations with a drone-lidar system (2019)
Almeida, D. R. A; Broadbent, E. N; Zambrano, A. M. A; Wilkinson, B. E; Ferreira, M. E; Chazdon, R; Meli, P; Gorgens, E. B; Silva, C. A; Stark, S. C; Valbuena, R; Papa, D. A; Brancalion, Pedro Henrique Santin
Source: International Journal of Applied Earth Observation and Geoinformation. Unidade: ESALQ
Subjects: ÍNDICE DE ÁREA FOLIAR, FLORESTAS TROPICAIS, MONITORAMENTO AMBIENTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
ALMEIDA, D. R. A et al. Monitoring the structure of forest restoration plantations with a drone-lidar system. International Journal of Applied Earth Observation and Geoinformation, v. 79, p. 192-198, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jag.2019.03.014. Acesso em: 03 jul. 2024.
APA
Almeida, D. R. A., Broadbent, E. N., Zambrano, A. M. A., Wilkinson, B. E., Ferreira, M. E., Chazdon, R., et al. (2019). Monitoring the structure of forest restoration plantations with a drone-lidar system. International Journal of Applied Earth Observation and Geoinformation, 79, 192-198. doi:10.1016/j.jag.2019.03.014
NLM
Almeida DRA, Broadbent EN, Zambrano AMA, Wilkinson BE, Ferreira ME, Chazdon R, Meli P, Gorgens EB, Silva CA, Stark SC, Valbuena R, Papa DA, Brancalion PHS. Monitoring the structure of forest restoration plantations with a drone-lidar system [Internet]. International Journal of Applied Earth Observation and Geoinformation. 2019 ; 79 192-198.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.jag.2019.03.014
Vancouver
Almeida DRA, Broadbent EN, Zambrano AMA, Wilkinson BE, Ferreira ME, Chazdon R, Meli P, Gorgens EB, Silva CA, Stark SC, Valbuena R, Papa DA, Brancalion PHS. Monitoring the structure of forest restoration plantations with a drone-lidar system [Internet]. International Journal of Applied Earth Observation and Geoinformation. 2019 ; 79 192-198.[citado 2024 jul. 03 ] Available from: https://doi.org/10.1016/j.jag.2019.03.014
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
Source: Methods in Ecology and Evolution. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), FLORESTAS TROPICAIS, FRAGMENTAÇÃO FLORESTAL, R (SOFTWARE ESTATÍSTICO), SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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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: 03 jul. 2024.
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 2024 jul. 03 ] 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 2024 jul. 03 ] Available from: https://doi.org/10.1111/2041-210X.13211

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