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Bruno Basso.pdf

上传人: 明**** 编号:1013957 2025-12-21 20页 2.94MB

1、Carbon Markets in the USA:Lesson learned and Future DirectionsBruno BassoUniversity Distinguished ProfessorDept.Earth and Environmental SciencesFirms are increasingly disclosing their environmental impact informationNumber of firms disclosing impacts through CDP23 000+firmsdisclosingclimateImpacts i

2、n 2023(+24%year over year)0500010000150002000025000ClimateWaterForestsCourtesy of Koen DeconinckPublic and Private interest in reducing emissionsIllinois Sustainable Ag Partnership Laboratory procedures Sampling strategies Bulk density Remote Sensing/Spectroscopy Process-based models Hydrid models(M

3、L+Process Based Models)Uncertainties in measuring and modeling SOC Lesson learned 1:Laboratory proceduresBrinton,Basso,2025 Agronomy JournalEven et al.(2024)240 samples of Soil Organic Carbon(SOC)across a transect from MI to ILLesson learned 2:Spatial variability is the norm Fowler,Basso et al.,2024

4、Long-term yield stabilityLesson learned 2:Bulk densityLesson Learned 3:Dynamic baselines are criticalBasso et al.,2025,Sci RepWe need models to develop dynamic baselinesMultiple process-based models are executed with the same inputs to assess uncertainty in SOC,GHG and Yield dynamicsDynamic DataDyna

5、mic Data:Soil,weather,ManagementSpecificationSpecification:Scenario and location definitionI In nput integrationput integration:Scenario definition and data mappingModel translatorOutput regularizationEnsemble post Ensemble post processingprocessingModel executionARMOSACROPSYSTDAYCENTDSSATAPSIMEPICS

6、ALUSSTICSFuture Direction:Multi-Model Ensemble(MME)Basso et al.,2025 Sci Rep.SOC change measurements vs MMESOC change under different baselinesSOC changes from Conv.Till to No-Till+Cover CropsBasso et al.,2025,Sci RepImpact of soil,initial soil C,and management practices on annua

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根据报告的内容,全文主要内容概括如下: 1. 美国碳市场发展迅速,2023年有超过23,000家企业通过CDP披露气候影响信息,同比增长24%。 2. 研究发现,土壤有机碳(SOC)测量的不确定性较大,需要改进实验室程序和模型。 3. 空间变异性是土壤有机碳测量的常态,长期产量稳定性与土壤密度相关。 4. 动态基准对于模型开发至关重要,需要使用多过程模型来评估不确定性。 5. 多模型集成(MME)有助于模型校准、动态基准建立、不确定性分析和模型改进。 6. 研究表明,免耕加覆盖作物(NT + CC)可以带来净温室气体减排,范围从0至-3 Mg CO2-eq ha-1。 7. 碳市场增长受到碳抵消和碳汇需求增加的推动,需要扩大再生农业实践,并依赖模型进行测量和评估。
美国经验与未来" 模型评估与不确定性" 多模型集成分析"
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