| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Acre. |
|
Data corrente: |
31/07/2020 |
|
Data da última atualização: |
28/06/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
ALMEIDA, D. R. A. de; ZAMBRANO, A. M. A.; BROADBENT, E. N.; WENDT, A. L.; FOSTER, P.; WILKINSON, B. E.; SALK, C.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; GORGENS, E. B.; SILVA, C. A.; BRANCALION, P. H. S.; FAGAN, M.; MELI, P.; CHAZDON, R. |
|
Afiliação: |
Danilo Roberti Alves de Almeida, Universdade de São Paulo (USP/ESALQ) / University of Florida; Angelica Maria Almeyda Zambrano, University of Florida; Eben North Broadbent, University of Florida; Amanda L. Wendt, Organization for Tropical Studies / EARTH University; Paul Foster, Reserva Ecológica Bijagual / University of Michigan; Benjamin E. Wilkinson, University of Florida; Carl Salk, University of Agricultural Sciences; DANIEL DE ALMEIDA PAPA, CPAF-AC; Scott Christopher Stark, Michigan State University; Ruben Valbuena, Bangor University; Eric Bastos Gorgens, Universidade Federal do Vale do Jequitinhonha e Mucuri; Carlos Alberto Silva, University of Florida / University of Maryland; Pedro Henrique Santin Brancalion, Universidade de São Paulo (USP/ESALQ); Matthew Fagan, University of Maryland; Paula Meli, Universidade de São Paulo (USP/ESALQ) / Universidad de La Frontera; Robin Chazdon, University of Connecticut / University of the Sunshine Coast. |
|
Título: |
Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Biotropica, v. 52, n. 6, p. 1155-1167, Nov. 2020. |
|
ISSN: |
1744-7429 |
|
DOI: |
https://doi.org/10.1111/btp.12814 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Drone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the potential of the GatorEye drone-lidar system to monitor tropical forest succession by canopy structural attributes including canopy height, spatial heterogeneity, gap fraction, leaf area density (LAD) vertical distribution, canopy Shannon index (an index of LAD), leaf area index (LAI), and understory LAI. We focus on these variables? relationship to aboveground biomass (AGB) stocks and species diversity. In the Caribbean lowlands of northeastern Costa Rica, we analyze nine tropical forests stands (seven secondgrowth and two old-growth). Stands were relatively homogenous in terms of canopy height and spatial heterogeneity, but not in their gap fraction. Neither species density nor tree community Shannon diversity index was significantly correlated with the canopy Shannon index. Canopy height, LAI, and AGB did not show a clear pattern as a function of forest age. However, gap fraction and spatial heterogeneity increased with forest age, whereas understory LAI decreased with forest age. Canopy height was strongly correlated with AGB. The heterogeneous mosaic created by successional forest patches across human-managed tropical landscapes can now be better characterized. Drone-lidar systems offer the opportunity to improve assessment of forest recovery and develop general mechanistic carbon sequestration models that can be rapidly deployed to specific sites, an essential step for monitoring progress within the UN Decade on Ecosystem Restoration. MenosDrone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the potential of the GatorEye drone-lidar system to monitor tropical forest succession by canopy structural attributes including canopy height, spatial heterogeneity, gap fraction, leaf area density (LAD) vertical distribution, canopy Shannon index (an index of LAD), leaf area index (LAI), and understory LAI. We focus on these variables? relationship to aboveground biomass (AGB) stocks and species diversity. In the Caribbean lowlands of northeastern Costa Rica, we analyze nine tropical forests stands (seven secondgrowth and two old-growth). Stands were relatively homogenous in terms of canopy height and spatial heterogeneity, but not in their gap fraction. Neither species density nor tree community Shannon diversity index was significantly correlated with the canopy Shannon index. Canopy height, LAI, and AGB did not show a clear pattern as a function of forest age. However, gap fraction and spatial heterogeneity increased with forest age, whereas understory LAI decreased with forest age. Canopy height was strongly correlated with AGB. The heterogeneous mosaic created by successional forest patches across human-managed tropical landscapes can now be better characterized. Drone-lidar systems offer the opportunity to improve assessment of ... Mostrar Tudo |
|
Palavras-Chave: |
Aerial surveys; Biomasa aérea; Biomassa aérea; Bosques lluviosos; Bosques secundarios; Caribbean lowlands; Drone; GatorEye; Heredia Province; Monitoreo; Northeastern Costa Rica; Regeneração florestal; Restauración de bosques; Sarapiquí; Teledetección; Vehículos aéreos no tripulados. |
|
Thesagro: |
Floresta Secundaria; Floresta Tropical; Raio Laser; Reconhecimento Florestal; Sensoriamento Remoto. |
|
Thesaurus Nal: |
Aboveground biomass; Forest restoration; Lidar; Monitoring; Rain forests; Remote sensing; Secondary forests; Unmanned aerial vehicles. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215054/1/27015.pdf
|
|
Marc: |
LEADER 03598naa a2200673 a 4500
001 2124130
005 2021-06-28
008 2020 bl uuuu u00u1 u #d
022 $a1744-7429
024 7 $ahttps://doi.org/10.1111/btp.12814$2DOI
100 1 $aALMEIDA, D. R. A. de
245 $aDetecting successional changes in tropical forest structure using GatorEye drone-borne lidar.$h[electronic resource]
260 $c2020
520 $aDrone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the potential of the GatorEye drone-lidar system to monitor tropical forest succession by canopy structural attributes including canopy height, spatial heterogeneity, gap fraction, leaf area density (LAD) vertical distribution, canopy Shannon index (an index of LAD), leaf area index (LAI), and understory LAI. We focus on these variables? relationship to aboveground biomass (AGB) stocks and species diversity. In the Caribbean lowlands of northeastern Costa Rica, we analyze nine tropical forests stands (seven secondgrowth and two old-growth). Stands were relatively homogenous in terms of canopy height and spatial heterogeneity, but not in their gap fraction. Neither species density nor tree community Shannon diversity index was significantly correlated with the canopy Shannon index. Canopy height, LAI, and AGB did not show a clear pattern as a function of forest age. However, gap fraction and spatial heterogeneity increased with forest age, whereas understory LAI decreased with forest age. Canopy height was strongly correlated with AGB. The heterogeneous mosaic created by successional forest patches across human-managed tropical landscapes can now be better characterized. Drone-lidar systems offer the opportunity to improve assessment of forest recovery and develop general mechanistic carbon sequestration models that can be rapidly deployed to specific sites, an essential step for monitoring progress within the UN Decade on Ecosystem Restoration.
650 $aAboveground biomass
650 $aForest restoration
650 $aLidar
650 $aMonitoring
650 $aRain forests
650 $aRemote sensing
650 $aSecondary forests
650 $aUnmanned aerial vehicles
650 $aFloresta Secundaria
650 $aFloresta Tropical
650 $aRaio Laser
650 $aReconhecimento Florestal
650 $aSensoriamento Remoto
653 $aAerial surveys
653 $aBiomasa aérea
653 $aBiomassa aérea
653 $aBosques lluviosos
653 $aBosques secundarios
653 $aCaribbean lowlands
653 $aDrone
653 $aGatorEye
653 $aHeredia Province
653 $aMonitoreo
653 $aNortheastern Costa Rica
653 $aRegeneração florestal
653 $aRestauración de bosques
653 $aSarapiquí
653 $aTeledetección
653 $aVehículos aéreos no tripulados
700 1 $aZAMBRANO, A. M. A.
700 1 $aBROADBENT, E. N.
700 1 $aWENDT, A. L.
700 1 $aFOSTER, P.
700 1 $aWILKINSON, B. E.
700 1 $aSALK, C.
700 1 $aPAPA, D. de A.
700 1 $aSTARK, S. C.
700 1 $aVALBUENA, R.
700 1 $aGORGENS, E. B.
700 1 $aSILVA, C. A.
700 1 $aBRANCALION, P. H. S.
700 1 $aFAGAN, M.
700 1 $aMELI, P.
700 1 $aCHAZDON, R.
773 $tBiotropica$gv. 52, n. 6, p. 1155-1167, Nov. 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Acre (CPAF-AC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | ALMEIDA, D. R. A. de; ZAMBRANO, A. M. A.; BROADBENT, E. N.; WENDT, A. L.; FOSTER, P.; WILKINSON, B. E.; SALK, C.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; GORGENS, E. B.; SILVA, C. A.; BRANCALION, P. H. S.; FAGAN, M.; MELI, P.; CHAZDON, R. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, v. 52, n. 6, p. 1155-1167, Nov. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Acre. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
