|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
06/02/2018 |
Data da última atualização: |
02/05/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
WU, J.; KOBAYASHI, H.; STARK, S. C.; MENG, R.; GUAN, K.; TRAN, N. N.; GAO, S.; YANG, W.; RESTREPO-COUPE, N.; MIURA, T.; OLIVEIRA JUNIOR, R. C. de; ROGERS, A.; DYE, D. G.; NELSON, B. W.; SERBIN, S. P.; HUETE, A. R.; SALESKA, S. R. |
Afiliação: |
Jin Wu, University of Arizona / Brookhaven National Laboratory; Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology; Scott C. Stark, Michigan State University; Ran Meng, Brookhaven National Laboratory; Kaiyu Guan, University of Illinois at Urbana Champaign; Ngoc Nguyen Tran, University of Technology Sydney; Sicong Gao, University of Technology Sydney; Wei Yang, Chiba University; Natalia Restrepo-Coupe, University of Arizona; Tomoaki Miura, University of Havaii; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Alistair Rogers, Brookhaven National Laboratory; Dennis G. Dye, Northern Arizona University; Bruce W. Nelson, INPA; Shawn P. Serbin, Brookhaven National Laboratory; Alfredo R. Huete, University of Technology Sydney; Scott R. Saleska, University of Arizona. |
Título: |
Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018. |
DOI: |
10.1111/nph.14939 |
Idioma: |
Inglês |
Conteúdo: |
Satellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics. MenosSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite... Mostrar Tudo |
Palavras-Chave: |
Sazonalidade. |
Thesagro: |
Fenologia; Floresta tropical. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02563naa a2200361 a 4500 001 2087194 005 2018-05-02 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1111/nph.14939$2DOI 100 1 $aWU, J. 245 $aBiological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest.$h[electronic resource] 260 $c2018 520 $aSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics. 650 $aFenologia 650 $aFloresta tropical 653 $aSazonalidade 700 1 $aKOBAYASHI, H. 700 1 $aSTARK, S. C. 700 1 $aMENG, R. 700 1 $aGUAN, K. 700 1 $aTRAN, N. N. 700 1 $aGAO, S. 700 1 $aYANG, W. 700 1 $aRESTREPO-COUPE, N. 700 1 $aMIURA, T. 700 1 $aOLIVEIRA JUNIOR, R. C. de 700 1 $aROGERS, A. 700 1 $aDYE, D. G. 700 1 $aNELSON, B. W. 700 1 $aSERBIN, S. P. 700 1 $aHUETE, A. R. 700 1 $aSALESKA, S. R. 773 $tNew Phytologist$gv. 217, n. 4, p. 1507-1520, Mar. 2018.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
23/05/2001 |
Data da última atualização: |
23/05/2001 |
Autoria: |
CARVALHO, P. E. R. |
Afiliação: |
Carvalho, P. E. R., pesquisador da EMBRAPA-CNPF. |
Título: |
Virola oleifera (Schott) A. C. Smith: bicuiba. |
Ano de publicação: |
1994 |
Fonte/Imprenta: |
In: CARVALHO, P.E.R. Especies florestais brasileiras: recomendacoes silviculturais, potencialidades e uso da madeira. Colombo: EMBRAPA-CNPF / Brasilia: EMBRAPA-SPI, 1994. p.518-522. |
Idioma: |
Português |
Palavras-Chave: |
Biologia reprodutiva; C; Descricao botanica; Growth; Natural distribution; Ocorrencia natural; Production; Products; Seed; Smith; Uses; Uso; Virola oleifera (Schott) A. |
Thesagro: |
Bicuíba; Clima; Crescimento; Ecologia; Fenologia; Madeira; Muda; Produção; Semente; Silvicultura; Solo; Taxonomia. |
Thesaurus NAL: |
botany; climate; ecology; phenology; reproduction; seedlings; silviculture; soil; taxonomy; wood. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01349naa a2200529 a 4500 001 1301544 005 2001-05-23 008 1994 bl uuuu u00u1 u #d 100 1 $aCARVALHO, P. E. R. 245 $aVirola oleifera (Schott) A. C. Smith$bbicuiba. 260 $c1994 650 $abotany 650 $aclimate 650 $aecology 650 $aphenology 650 $areproduction 650 $aseedlings 650 $asilviculture 650 $asoil 650 $ataxonomy 650 $awood 650 $aBicuíba 650 $aClima 650 $aCrescimento 650 $aEcologia 650 $aFenologia 650 $aMadeira 650 $aMuda 650 $aProdução 650 $aSemente 650 $aSilvicultura 650 $aSolo 650 $aTaxonomia 653 $aBiologia reprodutiva 653 $aC 653 $aDescricao botanica 653 $aGrowth 653 $aNatural distribution 653 $aOcorrencia natural 653 $aProduction 653 $aProducts 653 $aSeed 653 $aSmith 653 $aUses 653 $aUso 653 $aVirola oleifera (Schott) A 773 $tIn: CARVALHO, P.E.R. Especies florestais brasileiras: recomendacoes silviculturais, potencialidades e uso da madeira. Colombo: EMBRAPA-CNPF / Brasilia: EMBRAPA-SPI, 1994. p.518-522.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Florestas (CNPF) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|