02885naa a2200277 a 450000100080000000500110000800800410001902200140006002400360007410000160011024501720012626000090029850005580030752014570086565300180232265300210234065300150236165300140237665300230239065300130241365300280242670000180245470000190247270000170249177300990250810645932024-04-17       2024    bl uuuu     u00u1 u    #d  a1007-662X7 a10.1007/s11676-024-01706-w2DOI1 aBAIETTO, A.  aLitterfall production modeling based on climatic variables and nutrient return from stands of Eucalyptusgrandis Hill ex Maiden and Pinustaeda L.h[electronic resource]  c2024  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  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.  aAfforestation  aClimate modeling  aLitterfall  aMyrtaceae  aNutrient recycling  aPinaceae  aSISTEMA FORESTAL - INIA1 aHIRIGOYEN, A.1 aHERNÁNDEZ, J.1 aDEL PINO, A.  tJournal of Forestry Research. 2024, Volume 35, e61. https://doi.org/10.1007/s11676-024-01706-w