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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/04/2024 |
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Actualizado : |
17/04/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
BAIETTO, A.; HIRIGOYEN, A.; HERNÁNDEZ, J.; DEL PINO, A. |
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Afiliación : |
ANDRÉS BAIETTO, Soil and Water Department, Faculty of Agronomy, University of the Republic, Montevideo, 12900, Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE HERNÁNDEZ, Soil and Water Department, Faculty of Agronomy, University of the Republic, Montevideo, 12900, Uruguay; AMABELIA DEL PINO, Soil and Water Department, Faculty of Agronomy, University of the Republic, Montevideo, 12900, Uruguay. |
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Título : |
Litterfall production modeling based on climatic variables and nutrient return from stands of Eucalyptusgrandis Hill ex Maiden and Pinustaeda L. |
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Complemento del título : |
Original paper. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Journal of Forestry Research. 2024, Volume 35, e61. https://doi.org/10.1007/s11676-024-01706-w |
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ISSN : |
1007-662X |
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DOI : |
10.1007/s11676-024-01706-w |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 June 2023, Accepted 17 August 2023, Published 21 March 2024. -- Correspondence: Baietto, A.; Forest Department, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:abaietto@fagro.edu.uy -- Corresponding editor: Yanbo Hu. -- Funding: This study was funded by Lumin S.A. and the Agencia Nacional de Investigación e Innovación (ANII) [POS_NAC_2016_1_130479]. -- Supplementary Information: The online version contains supplementary material available at https:// doi. org/ 10. 1007/s11676- 024- 01706-w |
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Contenido : |
ABSTRACT.- Native grasslands in the Pampas of South America are increasingly being replaced by Eucalyptus and Pinus stands. The short rotation regimes used for the stands require high nutrient levels, with litterfall being a major source of nutrient return. To model the litterfall production using climatic variables and assess the nutrient return in 14-year-old Eucalyptusgrandis and Pinustaeda stands, we measured litter production over 2 years, using conical litter traps, and monitored climatic variables. Mean temperature, accumulated precipitation, and mean maximum vapor pressure deficit at the seasonal level influenced litterfall production by E.grandis; seasonal accumulated precipitation and mean maximum temperature affected litterfall by P.taeda. The regression tree modeling based on these climatic variables had great accuracy and predictive power for E.grandis (N = 33; MAE (mean absolute error) = 0.65; RMSE (root mean square error) = 0.91; R2 = 0.71) and P.taeda (N = 108; MAE = 1.50; RMSE = 1.59; R2 = 0.72). The nutrient return followed a similar pattern to litterfall deposition, as well as the order of importance of macronutrients (E.grandis: Ca > N > K > Mg > P; P.taeda: N > Ca > K > Mg > P) and micronutrients (E.grandis and P.taeda: Mn > Fe > Zn > Cu) in both species. This study constitutes a first approximation of factors that affect litterfall and nutrient return in these systems. © Northeast Forestry University 2024. |
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Palabras claves : |
Afforestation; Climate modeling; Litterfall; Myrtaceae; Nutrient recycling; Pinaceae; SISTEMA FORESTAL - INIA. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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Marc : |
LEADER 02885naa a2200277 a 4500
001 1064593
005 2024-04-17
008 2024 bl uuuu u00u1 u #d
022 $a1007-662X
024 7 $a10.1007/s11676-024-01706-w$2DOI
100 1 $aBAIETTO, A.
245 $aLitterfall production modeling based on climatic variables and nutrient return from stands of Eucalyptusgrandis Hill ex Maiden and Pinustaeda L.$h[electronic resource]
260 $c2024
500 $aArticle history: Received 13 June 2023, Accepted 17 August 2023, Published 21 March 2024. -- Correspondence: Baietto, A.; Forest Department, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:abaietto@fagro.edu.uy -- Corresponding editor: Yanbo Hu. -- Funding: This study was funded by Lumin S.A. and the Agencia Nacional de Investigación e Innovación (ANII) [POS_NAC_2016_1_130479]. -- Supplementary Information: The online version contains supplementary material available at https:// doi. org/ 10. 1007/s11676- 024- 01706-w
520 $aABSTRACT.- Native grasslands in the Pampas of South America are increasingly being replaced by Eucalyptus and Pinus stands. The short rotation regimes used for the stands require high nutrient levels, with litterfall being a major source of nutrient return. To model the litterfall production using climatic variables and assess the nutrient return in 14-year-old Eucalyptusgrandis and Pinustaeda stands, we measured litter production over 2 years, using conical litter traps, and monitored climatic variables. Mean temperature, accumulated precipitation, and mean maximum vapor pressure deficit at the seasonal level influenced litterfall production by E.grandis; seasonal accumulated precipitation and mean maximum temperature affected litterfall by P.taeda. The regression tree modeling based on these climatic variables had great accuracy and predictive power for E.grandis (N = 33; MAE (mean absolute error) = 0.65; RMSE (root mean square error) = 0.91; R2 = 0.71) and P.taeda (N = 108; MAE = 1.50; RMSE = 1.59; R2 = 0.72). The nutrient return followed a similar pattern to litterfall deposition, as well as the order of importance of macronutrients (E.grandis: Ca > N > K > Mg > P; P.taeda: N > Ca > K > Mg > P) and micronutrients (E.grandis and P.taeda: Mn > Fe > Zn > Cu) in both species. This study constitutes a first approximation of factors that affect litterfall and nutrient return in these systems. © Northeast Forestry University 2024.
653 $aAfforestation
653 $aClimate modeling
653 $aLitterfall
653 $aMyrtaceae
653 $aNutrient recycling
653 $aPinaceae
653 $aSISTEMA FORESTAL - INIA
700 1 $aHIRIGOYEN, A.
700 1 $aHERNÁNDEZ, J.
700 1 $aDEL PINO, A.
773 $tJournal of Forestry Research. 2024, Volume 35, e61. https://doi.org/10.1007/s11676-024-01706-w
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