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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
29/08/2018 |
Data da última atualização: |
29/08/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GREIG, C.; ROBERTSON, C.; LACERDA, A. E. B. de. |
Afiliação: |
Clara Greig, Wilfrid Laurier University; Colin Robertson, Wilfrid Laurier University; ANDRE EDUARDO BISCAIA DE LACERDA, CNPF. |
Título: |
Spectral-temporal modelling of bamboo-dominated forest succession in the Atlantic Forest of Southern Brazil. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Ecological Modelling, v. 384, p. 316-332, Sept. 2018. |
DOI: |
doi.org/10.1016/j.ecolmodel.2018.06.028 |
Idioma: |
Inglês |
Conteúdo: |
With access to collections of continuous satellite imagery over a 40-year period, spectral-temporal patterns extracted from multi-temporal imagery offer a potential new tool to model mechanisms of forest succession and monitor changes in forested landscapes. Specifically, spectral-temporal trajectories associated with successional forest change occurring over prolonged periods of time may enhance periodic ?snapshot? monitoring methods, especially for species that exhibit complex and non-linear dynamics. In this paper, Landsat time-series are used to examine the spectral-temporal signatures of bamboo-dominated forest succession occurring within the critically threatened Araucaria Forest, a pine-dominated subtype of the Atlantic Forest in southern Brazil. Alteration of canopy structure through ongoing anthropogenic disturbance has increased understorey light climate and given opportunity for native invasive bamboos to flourish, resulting in drastic reduction of tree regeneration and loss of biodiversity. We aimed to evaluate how spectral-temporal signatures could be used to (1) characterize stages of bamboo-dominated forest succession, (2) identify synchrony of bamboo lifecycle dynamics and (3) classify regions of bamboo-dominated forest. Changepoint analysis was performed using an extracted sample spectral-temporal signature and trajectories were fit to the resulting segments using linear regression. Based on slope values of the fitted segments, a novel description incorporating temporal information of bamboo-dominated forest succession was developed which identified four broad phases: pioneer predominance, mature bamboo, dieback and pioneer regeneration. To determine the spatial and temporal synchrony of bamboo-dominated forest succession, a hybrid model was developed by combining the modelled segments and compared to a 32-year Landsat time-series of vegetation indices by calculating root-mean square error between each pixel in the study area. The hybrid model proficiently classified regions of bamboo-dominance, achieving between 77% and 90% accuracy, which also indicated lifecycle synchrony of bamboo populations within the study area. To further assess the performance of the hybrid model, a time-weighted dynamic time warping model approach was used to determine synchrony and classify regions of bamboo. The timeweighted dynamic time warping classifier had lower overall accuracy (68%?82%), but is still considered a useful tool for automated classification purposes that take advantage of multi-temporal imagery. To compare classification performance between ?snapshot? and multi-temporal imagery classifiers, a maximum-likelihood classification was performed, which attained lower overall accuracies than the hybrid model (75%?84%). Overall, the use of spectral-temporal signatures offers a novel and effective approach to both describing and modelling bamboo-dominated forest succession (and forest successional processes more generally) on a landscape-scale. MenosWith access to collections of continuous satellite imagery over a 40-year period, spectral-temporal patterns extracted from multi-temporal imagery offer a potential new tool to model mechanisms of forest succession and monitor changes in forested landscapes. Specifically, spectral-temporal trajectories associated with successional forest change occurring over prolonged periods of time may enhance periodic ?snapshot? monitoring methods, especially for species that exhibit complex and non-linear dynamics. In this paper, Landsat time-series are used to examine the spectral-temporal signatures of bamboo-dominated forest succession occurring within the critically threatened Araucaria Forest, a pine-dominated subtype of the Atlantic Forest in southern Brazil. Alteration of canopy structure through ongoing anthropogenic disturbance has increased understorey light climate and given opportunity for native invasive bamboos to flourish, resulting in drastic reduction of tree regeneration and loss of biodiversity. We aimed to evaluate how spectral-temporal signatures could be used to (1) characterize stages of bamboo-dominated forest succession, (2) identify synchrony of bamboo lifecycle dynamics and (3) classify regions of bamboo-dominated forest. Changepoint analysis was performed using an extracted sample spectral-temporal signature and trajectories were fit to the resulting segments using linear regression. Based on slope values of the fitted segments, a novel description incorporat... Mostrar Tudo |
Palavras-Chave: |
Atlantic forest; Floresta Atlântica; Landsat time-series; Spectral-temporal modelling. |
Thesagro: |
Bambu. |
Thesaurus Nal: |
Bamboos; Forest succession. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 03763naa a2200241 a 4500 001 2094733 005 2018-08-29 008 2018 bl uuuu u00u1 u #d 024 7 $adoi.org/10.1016/j.ecolmodel.2018.06.028$2DOI 100 1 $aGREIG, C. 245 $aSpectral-temporal modelling of bamboo-dominated forest succession in the Atlantic Forest of Southern Brazil.$h[electronic resource] 260 $c2018 520 $aWith access to collections of continuous satellite imagery over a 40-year period, spectral-temporal patterns extracted from multi-temporal imagery offer a potential new tool to model mechanisms of forest succession and monitor changes in forested landscapes. Specifically, spectral-temporal trajectories associated with successional forest change occurring over prolonged periods of time may enhance periodic ?snapshot? monitoring methods, especially for species that exhibit complex and non-linear dynamics. In this paper, Landsat time-series are used to examine the spectral-temporal signatures of bamboo-dominated forest succession occurring within the critically threatened Araucaria Forest, a pine-dominated subtype of the Atlantic Forest in southern Brazil. Alteration of canopy structure through ongoing anthropogenic disturbance has increased understorey light climate and given opportunity for native invasive bamboos to flourish, resulting in drastic reduction of tree regeneration and loss of biodiversity. We aimed to evaluate how spectral-temporal signatures could be used to (1) characterize stages of bamboo-dominated forest succession, (2) identify synchrony of bamboo lifecycle dynamics and (3) classify regions of bamboo-dominated forest. Changepoint analysis was performed using an extracted sample spectral-temporal signature and trajectories were fit to the resulting segments using linear regression. Based on slope values of the fitted segments, a novel description incorporating temporal information of bamboo-dominated forest succession was developed which identified four broad phases: pioneer predominance, mature bamboo, dieback and pioneer regeneration. To determine the spatial and temporal synchrony of bamboo-dominated forest succession, a hybrid model was developed by combining the modelled segments and compared to a 32-year Landsat time-series of vegetation indices by calculating root-mean square error between each pixel in the study area. The hybrid model proficiently classified regions of bamboo-dominance, achieving between 77% and 90% accuracy, which also indicated lifecycle synchrony of bamboo populations within the study area. To further assess the performance of the hybrid model, a time-weighted dynamic time warping model approach was used to determine synchrony and classify regions of bamboo. The timeweighted dynamic time warping classifier had lower overall accuracy (68%?82%), but is still considered a useful tool for automated classification purposes that take advantage of multi-temporal imagery. To compare classification performance between ?snapshot? and multi-temporal imagery classifiers, a maximum-likelihood classification was performed, which attained lower overall accuracies than the hybrid model (75%?84%). Overall, the use of spectral-temporal signatures offers a novel and effective approach to both describing and modelling bamboo-dominated forest succession (and forest successional processes more generally) on a landscape-scale. 650 $aBamboos 650 $aForest succession 650 $aBambu 653 $aAtlantic forest 653 $aFloresta Atlântica 653 $aLandsat time-series 653 $aSpectral-temporal modelling 700 1 $aROBERTSON, C. 700 1 $aLACERDA, A. E. B. de 773 $tEcological Modelling$gv. 384, p. 316-332, Sept. 2018.
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Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
01/08/2002 |
Data da última atualização: |
01/08/2002 |
Autoria: |
REIS, N. V. B. dos; MAKISHIMA, N. |
Afiliação: |
Embrapa Hortaliças, Brasília, DF. |
Título: |
Uma visão geral sobre as oportunidades com os cultivos protegidos diante das condições climáticas do Brasil. |
Ano de publicação: |
2002 |
Fonte/Imprenta: |
Item, Brasília, DF, n. 52/53, p. 13-17, dez. 2001/2002. |
Idioma: |
Português |
Conteúdo: |
Radiação solar; Comprimento de onda; Fatores que influenciam o cultivo protegido; Sistema de produção em cultivo protegido; Implantação das culturas nas casas de vegetação; Balanço de radiação no interior da casa de vegetação; Qualidade da luz; Casas de vegetação. |
Palavras-Chave: |
Brasil; Casa de vegetação; Condições climáticas; Greenhouse. |
Thesagro: |
Clima; Cultivo do Solo; Cultivo Protegido; Estufa; Irrigação. |
Thesaurus NAL: |
Brazil; protected cultivation. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01032naa a2200265 a 4500 001 1760641 005 2002-08-01 008 2002 bl uuuu u00u1 u #d 100 1 $aREIS, N. V. B. dos 245 $aUma visão geral sobre as oportunidades com os cultivos protegidos diante das condições climáticas do Brasil. 260 $c2002 520 $aRadiação solar; Comprimento de onda; Fatores que influenciam o cultivo protegido; Sistema de produção em cultivo protegido; Implantação das culturas nas casas de vegetação; Balanço de radiação no interior da casa de vegetação; Qualidade da luz; Casas de vegetação. 650 $aBrazil 650 $aprotected cultivation 650 $aClima 650 $aCultivo do Solo 650 $aCultivo Protegido 650 $aEstufa 650 $aIrrigação 653 $aBrasil 653 $aCasa de vegetação 653 $aCondições climáticas 653 $aGreenhouse 700 1 $aMAKISHIMA, N. 773 $tItem, Brasília, DF$gn. 52/53, p. 13-17, dez. 2001/2002.
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