Integrating belowground carbon dynamics into Yield-SAFE, a parameter sparse agroforestry model. Palma, J., Crous-Duran, J., Graves, A., de Jalon, S., Upson, M., Oliveira, T., Paulo, J., Ferreiro-Domínguez, N., Moreno, G., & Burgess, P. Agroforestry Systems, 2017.
doi  abstract   bibtex   
© 2017 Springer Science+Business Media B.V. Agroforestry combines perennial woody elements (e.g. trees) with an agricultural understory (e.g. wheat, pasture) which can also potentially be used by a livestock component. In recent decades, modern agroforestry systems have been proposed at European level as land use alternatives for conventional agricultural systems. The potential range of benefits that modern agroforestry systems can provide includes farm product diversification (food and timber), soil and biodiversity conservation and carbon sequestration, both in woody biomass and the soil. Whilst typically these include benefits such as food and timber provision, potentially, there are benefits in the form of carbon sequestration, both in woody biomass and in the soil. Quantifying the effect of agroforestry systems on soil carbon is important because it is one means by which atmospheric carbon can be sequestered in order to reduce global warming. However, experimental systems that can combine the different alternative features of agroforestry systems are difficult to implement and long-term. For this reason, models are needed to explore these alternatives, in order to determine what benefits different combinations of trees and understory might provide in agroforestry systems. This paper describes the integration of the widely used soil carbon model RothC, a model simulating soil organic carbon turnover, into Yield-SAFE, a parameter sparse model to estimate aboveground biomass in agroforestry systems. The improvement of the Yield-SAFE model focused on the estimation of input plant material into soil (i.e. leaf fall and root mortality) while maintaining the original aspiration for a simple conceptualization of agroforestry modeling, but allowing to feed inputs to a soil carbon module based on RothC. Validation simulations show that the combined model gives predictions consistent with observed data for both SOC dynamics and tree leaf fall. Two case study systems are examined: a cork oak system in South Portugal and a poplar system in the UK, in current and future climate.
@article{
 title = {Integrating belowground carbon dynamics into Yield-SAFE, a parameter sparse agroforestry model},
 type = {article},
 year = {2017},
 keywords = {Climate change,Ecosystem approach,Leaves,Resilience,Root,RothC,Soil},
 id = {e5175d0d-9b2f-3c20-8437-0bf1bb446b2a},
 created = {2017-09-29T08:36:10.564Z},
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 profile_id = {b7274c91-4c26-3e19-b289-f05c1ceeac44},
 last_modified = {2017-09-29T08:36:10.564Z},
 read = {false},
 starred = {false},
 authored = {true},
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 abstract = {© 2017 Springer Science+Business Media B.V. Agroforestry combines perennial woody elements (e.g. trees) with an agricultural understory (e.g. wheat, pasture) which can also potentially be used by a livestock component. In recent decades, modern agroforestry systems have been proposed at European level as land use alternatives for conventional agricultural systems. The potential range of benefits that modern agroforestry systems can provide includes farm product diversification (food and timber), soil and biodiversity conservation and carbon sequestration, both in woody biomass and the soil. Whilst typically these include benefits such as food and timber provision, potentially, there are benefits in the form of carbon sequestration, both in woody biomass and in the soil. Quantifying the effect of agroforestry systems on soil carbon is important because it is one means by which atmospheric carbon can be sequestered in order to reduce global warming. However, experimental systems that can combine the different alternative features of agroforestry systems are difficult to implement and long-term. For this reason, models are needed to explore these alternatives, in order to determine what benefits different combinations of trees and understory might provide in agroforestry systems. This paper describes the integration of the widely used soil carbon model RothC, a model simulating soil organic carbon turnover, into Yield-SAFE, a parameter sparse model to estimate aboveground biomass in agroforestry systems. The improvement of the Yield-SAFE model focused on the estimation of input plant material into soil (i.e. leaf fall and root mortality) while maintaining the original aspiration for a simple conceptualization of agroforestry modeling, but allowing to feed inputs to a soil carbon module based on RothC. Validation simulations show that the combined model gives predictions consistent with observed data for both SOC dynamics and tree leaf fall. Two case study systems are examined: a cork oak system in South Portugal and a poplar system in the UK, in current and future climate.},
 bibtype = {article},
 author = {Palma, J.H.N. and Crous-Duran, J. and Graves, A.R. and de Jalon, S.G. and Upson, M. and Oliveira, T.S. and Paulo, J.A. and Ferreiro-Domínguez, N. and Moreno, G. and Burgess, P.J.},
 doi = {10.1007/s10457-017-0123-4},
 journal = {Agroforestry Systems}
}
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