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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
13/03/2018 |
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Data da última atualização: |
13/03/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, C. E. F.; FONTANELI, R. S. |
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Afiliação: |
CARLOS EUGÊNIO FORTES TEIXEIRA, IFSUL; RENATO SERENA FONTANELI, CNPT. |
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Título: |
Chemical bromatological evaluation of biomass for silage of the winter cereals. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Chemistry and Chemical Engineering, v. 11, n. 4, p. 152-156, 2017. |
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ISSN: |
1934-7383 |
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DOI: |
10.17265/1934-7375/2017.04.002 |
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Idioma: |
Inglês |
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Thesagro: |
Forragem; Nutrição animal. |
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Thesaurus Nal: |
Animal nutrition; Forage. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173849/1/ID44308-2017v11p152JChemChemEng.pdf
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Marc: |
LEADER 00617naa a2200193 a 4500
001 2088998
005 2018-03-13
008 2017 bl uuuu u00u1 u #d
022 $a1934-7383
024 7 $a10.17265/1934-7375/2017.04.002$2DOI
100 1 $aTEIXEIRA, C. E. F.
245 $aChemical bromatological evaluation of biomass for silage of the winter cereals.$h[electronic resource]
260 $c2017
650 $aAnimal nutrition
650 $aForage
650 $aForragem
650 $aNutrição animal
700 1 $aFONTANELI, R. S.
773 $tJournal of Chemistry and Chemical Engineering$gv. 11, n. 4, p. 152-156, 2017.
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Registro original: |
Embrapa Trigo (CNPT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
14/12/2023 |
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Data da última atualização: |
14/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
NEGRÓN-JUÁREZ, R. I.; HOLM, J. A.; FAYBISHENKO, B.; MAGNABOSCO-MARRA, D.; FISHER, R. A.; SHUMAN, J. K.; ARAUJO, A. C. de; RILEY, W. J.; CHAMBERS, J. Q. |
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Afiliação: |
ROBINSON I. NEGRÓN-JUÁREZ, Lawrence Berkeley National Laboratory; JENNIFER A. HOLM, Lawrence Berkeley National Laboratory; BORIS FAYBISHENKO, Lawrence Berkeley National Laboratory; DANIEL MAGNABOSCO-MARRA, Max Planck Institute for Biogeochemistry / INPA; ROSIE A. FISHER, NCAR / CERFACS; JACQUELYN K. SHUMAN, NCAR; ALESSANDRO CARIOCA DE ARAUJO, CPATU; WILLIAM J. RILEY, Lawrence Berkeley National Laboratory; JEFFREY Q. CHAMBERS, Lawrence Berkeley National Laboratory. |
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Título: |
Landsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Biogeosciences, v. 17, n. 23, p. 6185-6205, 2020. |
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DOI: |
https://doi.org/10.5194/bg-17-6185-2020 |
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Idioma: |
Inglês |
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Conteúdo: |
Forest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn disturbances, respectively. The NIR band captured the observed, and different, successional pathways of forest regrowth after windthrow, clear-cut, and cut+burn. Consistent with inferences from the NIR observations, ELM-FATES predicted higher peaks of biomass and stem density after clear-cuts than after windthrows. ELM-FATES also predicted recovery of forest structure and canopy coverage back to pre-disturbance conditions in 38 years after windthrows and 41 years after clear-cut. The similarity of ELM-FATES predictions of regrowth patterns after windthrow and clear-cut to those of the NIR results suggests the NIR band can be used to benchmark forest regrowth in ecosystem models. Our results show the potential of Landsat imagery data for mapping forest regrowth from different types of disturbances, benchmarking, and the improvement of forest regrowth models. MenosForest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn d... Mostrar Tudo |
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Palavras-Chave: |
Regeneração florestal. |
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Thesaurus NAL: |
Amazonia; Regrowth; Tropical forests. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159730/1/Landsat-near-infrared.pdf
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Marc: |
LEADER 03224naa a2200277 a 4500
001 2159730
005 2023-12-14
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.5194/bg-17-6185-2020$2DOI
100 1 $aNEGRÓN-JUÁREZ, R. I.
245 $aLandsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon.$h[electronic resource]
260 $c2020
520 $aForest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn disturbances, respectively. The NIR band captured the observed, and different, successional pathways of forest regrowth after windthrow, clear-cut, and cut+burn. Consistent with inferences from the NIR observations, ELM-FATES predicted higher peaks of biomass and stem density after clear-cuts than after windthrows. ELM-FATES also predicted recovery of forest structure and canopy coverage back to pre-disturbance conditions in 38 years after windthrows and 41 years after clear-cut. The similarity of ELM-FATES predictions of regrowth patterns after windthrow and clear-cut to those of the NIR results suggests the NIR band can be used to benchmark forest regrowth in ecosystem models. Our results show the potential of Landsat imagery data for mapping forest regrowth from different types of disturbances, benchmarking, and the improvement of forest regrowth models.
650 $aAmazonia
650 $aRegrowth
650 $aTropical forests
653 $aRegeneração florestal
700 1 $aHOLM, J. A.
700 1 $aFAYBISHENKO, B.
700 1 $aMAGNABOSCO-MARRA, D.
700 1 $aFISHER, R. A.
700 1 $aSHUMAN, J. K.
700 1 $aARAUJO, A. C. de
700 1 $aRILEY, W. J.
700 1 $aCHAMBERS, J. Q.
773 $tBiogeosciences$gv. 17, n. 23, p. 6185-6205, 2020.
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