03624naa a2200529 a 450000100080000000500110000800800410001902200140006002400440007410000180011824501620013626000090029852020470030765000140235465000160236865000120238465000190239665000110241565000140242665000150244065000210245565000160247665300390249265300170253165300190254865300230256765300400259065300160263065300240264665300140267065300260268465300290271065300310273970000200277070000210279070000210281170000200283270000250285270000200287770000150289770000130291270000180292570000210294370000170296470000180298177300950299921450502023-07-14       2022    bl uuuu     u00u1 u    #d  a1757-17077 ahttps://doi.org/10.1111/gcbb.129892DOI1 aVIANNA, M. S.  aImproving the representation of sugarcane crop in the Joint UK Land Environment Simulator (JULES) model for climate impact assessment.h[electronic resource]  c2022  aAbstract. Bioenergy from sugarcane production is considered a key mitigation strategy for global warming. Improving its representation in land surface models is important to further understand the interactions between climate and bioenergy production, supporting accurate climate projections and decision-making. This study aimed to calibrate and evaluate the Joint UK Land Environment Simulator (JULES) for climate impact assessments in sugarcane. A dataset composed of soil moisture, water and carbon fluxes and biomass measurements from field experiments across Brazil was used to calibrate and evaluate JULES-crop and JULES-BE parametrisations. The ability to predict the spatiotemporal variability of sugarcane yields and the impact of climate change was also tested at five Brazilian microregions. Parameters related to sugarcane allometry, crop growth and development were derived and tested for JULES-crop and JULES-BE, together with the response to atmospheric carbon dioxide, temperature and drought (CTW-response). Both parametrisations showed comparable performance to other sugarcane dynamic models, with an RMSE of 6.75 and 6.05 t ha-1 for stalk dry matter for JULES-crop and JULES-BE, respectively. The parametrisations were also able to replicate the average yield patterns observed in the five microregions over 30 years when the yield gap factors were taken into account, with the correlation (r) between simulated and observed interannual variability of yields ranging from 0.33 to 0.56. An overall small positive trend was found in future yield projections of sugarcane using the new calibrations, with exception of the Jataí mesoregion which showed a clear negative trend for the SSP5 scenario from the year 2070 to 2100. Our simulations showed that an abrupt negative impact on sugarcane yields is expected if daytime temperatures above 35 oC become more frequent. The newly calibrated version of JULES can be applied regionally and globally to help understand the interactions between climate and bioenergy production.  aBioenergy  aCalibration  aClimate  aClimate change  aModels  aSugarcane  aBioenergia  aCana de Açúcar  aSimulação  aAvaliações de impacto climático  aCalibração  aClimate impact  aImpacto climático  aJoint UK Land Environment Simulator  aJULES model  aLand Surface Models  aModelagem  aMudanças climáticas  aProdução de bioenergia  aProjeção futura do clima1 aWILLIAMS, K. W.1 aLITTLETON, E. W.1 aCABRAL, O. M. R.1 aCERRI, C. E. P.1 aDE JONG VAN LIER, Q.1 aMARTHEWS, T. R.1 aHAYMAN, G.1 aZERI, M.1 aCUADRA, S. V.1 aCHALLINOR, A. J.1 aMARIN, F. R.1 aGALDOS, M. V.  tGCB Bioenergy: Bioproducts for a Sustainable Bioeconomygv. 14, n. 10, p. 1097-1116, 2022.