Modelling SOC response to land use change and management practices in sugarcane cultivation in South-Central Brazil

Silva-Olaya, Adriana M.; Cerri, Carlos Eduardo Pellegrino; Williams, Stephen; Cerri, Carlos Clemente; Davies, Christian A.; Paustian, Keith

doi:10.1007/s11104-016-3030-y

Cited by 30 publications

(26 citation statements)

References 76 publications

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“…Perennial crops such as Miscanthus and short-rotation coppice (SRC) willow and poplar have low nitrogen input requirements (with benefits for N 2 O emissions and water quality), can sequester soil carbon due to reduced tillage and increased belowground biomass allocation, and can be economically viable on marginal and degraded land, thus minimizing competition with other agricultural activities and avoiding iLUC effects (Hudiburg et al, 2015;Carvalho et al, 2017). With respect to the perennial crop sugarcane, large GHG savings can be achieved due to high crop productivity and the use of residues for cogeneration of electricity, whilst the recent shift to mechanized harvest without burning in Brazil should also increase the potential for soil carbon sequestration (Silva-Olaya et al, 2017). Nevertheless, the site-level impacts of perennial crop cultivation on ecosystem carbon storage (resulting from dLUC) vary geographically, dependent on soil type and climate (Field et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Consensus, uncertainties and challenges for perennial bioenergy crops and land use

et al. 2017

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Perennial bioenergy crops have significant potential to reduce greenhouse gas (GHG) emissions and contribute to climate change mitigation by substituting for fossil fuels; yet delivering significant GHG savings will require substantial land‐use change, globally. Over the last decade, research has delivered improved understanding of the environmental benefits and risks of this transition to perennial bioenergy crops, addressing concerns that the impacts of land conversion to perennial bioenergy crops could result in increased rather than decreased GHG emissions. For policymakers to assess the most cost‐effective and sustainable options for deployment and climate change mitigation, synthesis of these studies is needed to support evidence‐based decision making. In 2015, a workshop was convened with researchers, policymakers and industry/business representatives from the UK, EU and internationally. Outcomes from global research on bioenergy land‐use change were compared to identify areas of consensus, key uncertainties, and research priorities. Here, we discuss the strength of evidence for and against six consensus statements summarising the effects of land‐use change to perennial bioenergy crops on the cycling of carbon, nitrogen and water, in the context of the whole life‐cycle of bioenergy production. Our analysis suggests that the direct impacts of dedicated perennial bioenergy crops on soil carbon and nitrous oxide are increasingly well understood and are often consistent with significant life cycle GHG mitigation from bioenergy relative to conventional energy sources. We conclude that the GHG balance of perennial bioenergy crop cultivation will often be favourable, with maximum GHG savings achieved where crops are grown on soils with low carbon stocks and conservative nutrient application, accruing additional environmental benefits such as improved water quality. The analysis reported here demonstrates there is a mature and increasingly comprehensive evidence base on the environmental benefits and risks of bioenergy cultivation which can support the development of a sustainable bioenergy industry.

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Section: Introductionmentioning

confidence: 99%

Consensus, uncertainties and challenges for perennial bioenergy crops and land use

et al. 2017

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“…The DayCent model reliably reflected the main trends of SOC changes undergoing the LUC NV-PA-SG in our sites. Using the Century model, Galdos et al (2009), Brandani et al (2015), Silva-Olaya et al (2016 successfully simulated SOC changes in sugarcane areas in Brazil.…”

Section: Discussionmentioning

confidence: 99%

“…Accordingly, DayCent has been used and validated across a range of land use and management scenarios (Del Grosso et al, 2009, Duval et al, 2013). The Century model was widely used for simulations in pastures (Cerri et al, 2007, Cerri et al, 2004 and sugarcane areas (Brandani et al, 2015, Galdos et al, 2009, Galdos et al, 2010, Silva-Olaya et al, 2016 in Brazil. However, there is no published research using the DayCent model for simulations in Brazil so far.…”

Section: The Daycent Modelmentioning

confidence: 99%

“…The simulations for sugarcane areas were done using parameterization for the sugarcane crop developed by Galdos et al (2009), Galdos et al (2010), Silva-Olaya et al (2016 and Campbell (2015). The potential biomass production was adjusted in order to match the field data for southcentral Brazil (UNICA, 2015), assuming the biomass partitioning develop for sugarcane by Galdos et al (2010).…”

Section: Modeling Proceduresmentioning

confidence: 99%

“…Using the Century model, Silva-Olaya et al (2016) studied the impact of LUC from native vegetation and pasture to sugarcane cultivation on SOC dynamics in Brazil. The site-level data used in Silva-Olaya et al (2016) were those reported by , where most of sugarcane areas were either still harvested with burning or this practice had just been stopped for three years or less before the sampling time. In this sense, the longer-term effects of the conversion pasture-sugarcane on SOC remain unclear for areas under GM.…”

Section: Introductionmentioning

confidence: 99%

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Modelling SOC response to land use change and management practices in sugarcane cultivation in South-Central Brazil

Cited by 30 publications

References 76 publications

Consensus, uncertainties and challenges for perennial bioenergy crops and land use

Consensus, uncertainties and challenges for perennial bioenergy crops and land use

Soil organic matter dynamics in pasture-sugarcane land use conversions in south-central Brazil

Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil

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