| |
|
|
| Registros recuperados : 136 | |
| Registros recuperados : 136 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Semiárido. |
|
Data corrente: |
04/07/2022 |
|
Data da última atualização: |
04/07/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MEDEIROS, R.; ANDRADE, J.; RAMOS, D.; MOURA, M. S. B. de; PÉREZ-MARIN, a. m.; SANTOS, C. A. C. dos; SILVA, B. B. da; CUNGA, J. |
|
Afiliação: |
RODOLPHO MEDEIROS, UFCG; JOÃO ANDRADE, UFPE; DESIRÉE RAMOS, UNESP, Rio Claro, SP; MAGNA SOELMA BESERRA DE MOURA, CPATSA; ALDRIN MARTIN PÉREZ-MARIN, INSA; CARLOS A. C. DOS SANTOS, UFCG; BERNARDO BARBOSA DA SILVA, UFCG; JOHN CUNHA, UFCG. |
|
Título: |
Remote sensing phenology of the brazilian Caatinga and its environmental drivers. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Remote Sensing, v. 14, n. 11, 2637, 2022. |
|
DOI: |
https://doi.org/10.3390/rs14112637 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variability, but the impacts of climate change tend to alter plants? phenology. Thus, it is necessary to characterise phenological parameters and evaluate the relationship between vegetation and environmental drivers. From this information, it is possible to identify the dominant forces in the environment that trigger the phenological dynamics of the Caatinga. In this way, remote sensing represents an essential tool to investigate the phenology of vegetation, particularly as it has a long series of vegetation monitoring and allows relationships with different environmental drivers. This study has two objectives: (i) estimate phenological parameters using an Enhanced Vegetation Index (EVI) time-series over 20 years, and (ii) characterise the relationship between phenologic dynamics and environmental drivers. TIMESAT software was used to determine four phenological parameters: Start Of Season (SOS), End Of Season (EOS), Length Of Season (LOS), and Amplitude (AMPL). Boxplots, Pearson?s, and partial correlation coefficients defined relationships between phenologic dynamics and environmental drivers. The non-parametric test of Fligner Killeen was used to test the interannual variability in SOS and EOS. Our results show that the seasonality of vegetation growth in the Caatinga was different in the three experimental sites. The SOS was the parameter that presented the greatest variability in the days of the year (DOY), reaching a variation of 117 days. The sites with the highest SOS variability are the same ones that showed the lowest EOS variation. In addition, the values of LOS and AMPL are directly linked to the annual distribution of rainfall, and the longer the rainy season, the greater their values are. The variability of the natural cycles of the environmental drivers that regulate the ecosystem?s phenology and the influence on the Caatinga?s natural dynamics indicated a greater sensitivity of the phenologic dynamics to water availability, with precipitation being the limiting factor of the phenologic dynamics. Highlights: The EVI time series was efficient in estimating phenological parameters. The high variability of the start of season (SOS) occurred in sites with low variability of end of the season (EOS) and vice versa. The precipitation and water deficit presented a higher correlation coefficient with phenological dynamics. Length of Season (LOS) and amplitude (AMPL) are directly linked to the annual distribution of rainfall. View Full-Text MenosThe Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variability, but the impacts of climate change tend to alter plants? phenology. Thus, it is necessary to characterise phenological parameters and evaluate the relationship between vegetation and environmental drivers. From this information, it is possible to identify the dominant forces in the environment that trigger the phenological dynamics of the Caatinga. In this way, remote sensing represents an essential tool to investigate the phenology of vegetation, particularly as it has a long series of vegetation monitoring and allows relationships with different environmental drivers. This study has two objectives: (i) estimate phenological parameters using an Enhanced Vegetation Index (EVI) time-series over 20 years, and (ii) characterise the relationship between phenologic dynamics and environmental drivers. TIMESAT software was used to determine four phenological parameters: Start Of Season (SOS), End Of Season (EOS), Length Of Season (LOS), and Amplitude (AMPL). Boxplots, Pearson?s, and partial correlation coefficients defined relationships between phenologic dynamics and environmental drivers. The non-parametric test of Fligner Killeen was used to test the interannual variability in SOS and EOS. Our results show that the seasonality of vegetation growth in the Caatinga was different in ... Mostrar Tudo |
|
Palavras-Chave: |
Fenologia da superfície terrestre; Índices de vegetação; Sazonalmente seca. |
|
Thesagro: |
Caatinga; Floresta Tropical; Mudança Climática; Sensoriamento Remoto; Vegetação. |
|
Thesaurus NAL: |
Climate change; Remote sensing; Tropical forests; Vegetation; Vegetation index. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144436/1/Remote-Sensing-Phenology-of-the-Brazilian-Caatinga-2022.pdf
|
|
Marc: |
LEADER 03763naa a2200373 a 4500
001 2144436
005 2022-07-04
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs14112637$2DOI
100 1 $aMEDEIROS, R.
245 $aRemote sensing phenology of the brazilian Caatinga and its environmental drivers.$h[electronic resource]
260 $c2022
520 $aThe Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variability, but the impacts of climate change tend to alter plants? phenology. Thus, it is necessary to characterise phenological parameters and evaluate the relationship between vegetation and environmental drivers. From this information, it is possible to identify the dominant forces in the environment that trigger the phenological dynamics of the Caatinga. In this way, remote sensing represents an essential tool to investigate the phenology of vegetation, particularly as it has a long series of vegetation monitoring and allows relationships with different environmental drivers. This study has two objectives: (i) estimate phenological parameters using an Enhanced Vegetation Index (EVI) time-series over 20 years, and (ii) characterise the relationship between phenologic dynamics and environmental drivers. TIMESAT software was used to determine four phenological parameters: Start Of Season (SOS), End Of Season (EOS), Length Of Season (LOS), and Amplitude (AMPL). Boxplots, Pearson?s, and partial correlation coefficients defined relationships between phenologic dynamics and environmental drivers. The non-parametric test of Fligner Killeen was used to test the interannual variability in SOS and EOS. Our results show that the seasonality of vegetation growth in the Caatinga was different in the three experimental sites. The SOS was the parameter that presented the greatest variability in the days of the year (DOY), reaching a variation of 117 days. The sites with the highest SOS variability are the same ones that showed the lowest EOS variation. In addition, the values of LOS and AMPL are directly linked to the annual distribution of rainfall, and the longer the rainy season, the greater their values are. The variability of the natural cycles of the environmental drivers that regulate the ecosystem?s phenology and the influence on the Caatinga?s natural dynamics indicated a greater sensitivity of the phenologic dynamics to water availability, with precipitation being the limiting factor of the phenologic dynamics. Highlights: The EVI time series was efficient in estimating phenological parameters. The high variability of the start of season (SOS) occurred in sites with low variability of end of the season (EOS) and vice versa. The precipitation and water deficit presented a higher correlation coefficient with phenological dynamics. Length of Season (LOS) and amplitude (AMPL) are directly linked to the annual distribution of rainfall. View Full-Text
650 $aClimate change
650 $aRemote sensing
650 $aTropical forests
650 $aVegetation
650 $aVegetation index
650 $aCaatinga
650 $aFloresta Tropical
650 $aMudança Climática
650 $aSensoriamento Remoto
650 $aVegetação
653 $aFenologia da superfície terrestre
653 $aÍndices de vegetação
653 $aSazonalmente seca
700 1 $aANDRADE, J.
700 1 $aRAMOS, D.
700 1 $aMOURA, M. S. B. de
700 1 $aPÉREZ-MARIN, a. m.
700 1 $aSANTOS, C. A. C. dos
700 1 $aSILVA, B. B. da
700 1 $aCUNGA, J.
773 $tRemote Sensing$gv. 14, n. 11, 2637, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Semiárido (CPATSA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
