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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
20/06/2022 |
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Data da última atualização: |
20/06/2022 |
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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: |
CARDOSO, A. da S.; ALARI, F. de O.; ANDRADE, N. de; NASCIMENTO, T. da S.; SCARPINO VAN CLEEF, F. O.; ALVES, B. J. R.; RUGGIERI, A. C.; MALHEIROS, E. B. |
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Afiliação: |
ABMAEL DA SILVA CARDOSO, UNESP; FERNANDO DE OLIVEIRA ALARI, UNESP; NOMAIACI DE ANDRADE; TIAGO DA SILVA NASCIMENTO, UNESP; FLAVIA DE OLIVEIRA SCARPINO VAN CLEEF, UNIVESITY OF FLORIDA; BRUNO JOSE RODRIGUES ALVES, CNPAB; ANA CLAUDIA RUGGIERI; EUCLIDES BRAGA MALHEIROS, UNESP. |
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Título: |
Nitrous oxide emissions in silvopastoral systems: key driving variables and seasonality. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, 108851, 2022. |
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ISSN: |
0168-1923 |
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DOI: |
10.1016/j.agrformet.2022.108851 |
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Idioma: |
Inglês |
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Conteúdo: |
Silvopastoral systems are suggested to be important strategies for mitigating greenhouse gas emissions. However, little information is available on the effects of these systems on soil nitrous oxide (N2O) production. Expanding the knowledge of N2O emissions and the responses of key variables that drive N2O production are essential for understanding nitrogen loss. To quantify these factors in the silvopastoral system (Eucalyptus grandis x Megathyrsus maximus) and the monoculture (Megathyrsus maximus Guinea Massai grass), we conducted a 4-year field assessment. The experimental design was a completely randomized block with two factors: (1) monoculture (MONO) and silvopastoral systems with tree rows of 12 m (SP1) and 6 m (SP2), and (2) two seasons (rainy and dry), with 5 repetitions. Emissions were quantified using the closed static chamber methodology and gas chromatography analysis. In the wet summer, the silvopasture system differed from MONO, while in the dry winter, only the SP1 group differed from the monoculture; N2O emissions were higher during the rainy season. The MONO treatment revealed larger N2O fluxes in the first year of evaluation, whereas the silvopasture systems peaked in a later year. A significant positive Pearson correlation was found between N2O fluxes and soil moisture (r=0.89; P < 0.001) and soil temperature (r=0.76; P < 0.01). Our study showed that the effect of the silvopastoral system was season-dependent. N2O emissions increased over the years in silvopastoral systems, as opposed to the monoculture, and were driven by soil moisture and temperature. MenosSilvopastoral systems are suggested to be important strategies for mitigating greenhouse gas emissions. However, little information is available on the effects of these systems on soil nitrous oxide (N2O) production. Expanding the knowledge of N2O emissions and the responses of key variables that drive N2O production are essential for understanding nitrogen loss. To quantify these factors in the silvopastoral system (Eucalyptus grandis x Megathyrsus maximus) and the monoculture (Megathyrsus maximus Guinea Massai grass), we conducted a 4-year field assessment. The experimental design was a completely randomized block with two factors: (1) monoculture (MONO) and silvopastoral systems with tree rows of 12 m (SP1) and 6 m (SP2), and (2) two seasons (rainy and dry), with 5 repetitions. Emissions were quantified using the closed static chamber methodology and gas chromatography analysis. In the wet summer, the silvopasture system differed from MONO, while in the dry winter, only the SP1 group differed from the monoculture; N2O emissions were higher during the rainy season. The MONO treatment revealed larger N2O fluxes in the first year of evaluation, whereas the silvopasture systems peaked in a later year. A significant positive Pearson correlation was found between N2O fluxes and soil moisture (r=0.89; P < 0.001) and soil temperature (r=0.76; P < 0.01). Our study showed that the effect of the silvopastoral system was season-dependent. N2O emissions increased over the years in sil... Mostrar Tudo |
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Palavras-Chave: |
Mixed pasture; N2O driving variable; N2O seasonality; Nitrogen loss. |
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Thesaurus NAL: |
Greenhouse gas emissions. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02480naa a2200289 a 4500
001 2144160
005 2022-06-20
008 2022 bl uuuu u00u1 u #d
022 $a0168-1923
024 7 $a10.1016/j.agrformet.2022.108851$2DOI
100 1 $aCARDOSO, A. da S.
245 $aNitrous oxide emissions in silvopastoral systems$bkey driving variables and seasonality.$h[electronic resource]
260 $c2022
520 $aSilvopastoral systems are suggested to be important strategies for mitigating greenhouse gas emissions. However, little information is available on the effects of these systems on soil nitrous oxide (N2O) production. Expanding the knowledge of N2O emissions and the responses of key variables that drive N2O production are essential for understanding nitrogen loss. To quantify these factors in the silvopastoral system (Eucalyptus grandis x Megathyrsus maximus) and the monoculture (Megathyrsus maximus Guinea Massai grass), we conducted a 4-year field assessment. The experimental design was a completely randomized block with two factors: (1) monoculture (MONO) and silvopastoral systems with tree rows of 12 m (SP1) and 6 m (SP2), and (2) two seasons (rainy and dry), with 5 repetitions. Emissions were quantified using the closed static chamber methodology and gas chromatography analysis. In the wet summer, the silvopasture system differed from MONO, while in the dry winter, only the SP1 group differed from the monoculture; N2O emissions were higher during the rainy season. The MONO treatment revealed larger N2O fluxes in the first year of evaluation, whereas the silvopasture systems peaked in a later year. A significant positive Pearson correlation was found between N2O fluxes and soil moisture (r=0.89; P < 0.001) and soil temperature (r=0.76; P < 0.01). Our study showed that the effect of the silvopastoral system was season-dependent. N2O emissions increased over the years in silvopastoral systems, as opposed to the monoculture, and were driven by soil moisture and temperature.
650 $aGreenhouse gas emissions
653 $aMixed pasture
653 $aN2O driving variable
653 $aN2O seasonality
653 $aNitrogen loss
700 1 $aALARI, F. de O.
700 1 $aANDRADE, N. de
700 1 $aNASCIMENTO, T. da S.
700 1 $aSCARPINO VAN CLEEF, F. O.
700 1 $aALVES, B. J. R.
700 1 $aRUGGIERI, A. C.
700 1 $aMALHEIROS, E. B.
773 $tAgricultural and Forest Meteorology, 108851, 2022.
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