Modeling Pinus radiata D. Don growth and pasture production under different land uses and climate scenarios

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Yield-SAFE is a biophysical model to predict long-term production according to light and water availability in agricultural, forest, and agroforestry systems. The Yield-SAFE model should be calibrated and validated for the highest number of tree species and crops to be used as a management tool that takes into account climate change. This study aimed to calibrate and validate the Yield-SAFE model for Pinus radiata D. Don and sown pasture (Dactylis glomerata L.) to estimate the production in (1) forest systems, (2) agricultural systems, and (3) silvopastoral systems established in Galicia (NW Spain) under different conditions of climate: (i) reference “current” climate from 1961 to 1990, (ii) climate from 2021 to 2050, and (iii) climate from 2051 to 2080. The Yield-SAFE model can now be used to assess the long-term productivity of P. radiata D. Don and D. glomerata L. under different land uses and climate conditions. The Yield-SAFE model simulated similar tree and pasture growth in all scenarios of climate because the inter-annual variation of climate was small. However, tree growth estimated with the Yield-SAFE model was higher in the silvopastoral systems than in the forest systems, indicating that land use had more impact on land productivity than climate. Therefore, in regions such as Galicia, the Yield-SAFE model could be used as a tool to support the land use change in an agroforestry context, whilst also including climate scenarios which is considered a valuable solution to mitigate the effect of climate change

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Ferreiro-Domínguez N, Rigueiro-Rodríguez A and Mosquera-Losada MR (2022) Modeling Pinus radiata D. Don growth and pasture production under different land uses and climate scenarios. Front. Ecol. Evol. 10:981993. doi: 10.3389/fevo.2022.981993

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This work was funded by Xunta de Galicia, Consellería de Educación, Universidade e Formación Profesional through the Programa de Axudas á Etapa Posdoutoral Modalide A (DOG n° 122, 29/06/2016 p. 27443, exp: ED481B 2016/0710) and B (DOG n° 213, 08/11/2019 p. 48018, exp: ED481D 2019/009). NF-D was also funded by the Pilot Program of the University of Santiago de Compostela (USC) for the hiring of distinguished research staff—call 2021, funded under the collaboration agreement between USC and Banco Santander, for the years 2021–202

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© 2022 Ferreiro-Domínguez, Rigueiro-Rodríguez and Mosquera-Losada. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)
Attribution 4.0 International