将农民的观点纳入地球系统模型开发:采访俄勒冈州威拉米特河谷的最终用户,为可操作的科学提供指导

Kelsey Emard, Olivia Cameron, W. Wieder, Danica L Lombardozzi, R. Morss, N. Sobhani
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引用次数: 0

摘要

本文分析了对威拉米特山谷 31 位农民进行的半结构式访谈和焦点小组讨论的结果,在访谈中,农民被问及他们对气候数据的需求以及社区地球系统模型第二版(CESM2)的一系列输出结果对其土壤管理实践的可用性。调查结果表明,尽管 CESM 和其他地球系统模型(ESM)的空间分辨率较低,但其生成的气候和土壤数据可为农民的长期决策提供信息,但如果提供的输出格式允许农民选择与其特定需求相关的变量和阈值,并且如果 ESM 将农民的实践活动(包括清除残留物、覆盖种植和耕作水平)纳入模型操作中,以便农民更好地了解其决策的影响,那么这些数据的可用性会更高。研究结果还表明,虽然这些全球 ESM 生成数据的空间分辨率与农民做出大多数决策所需的空间分辨率存在很大差距,但农民善于进行标度调整,将粗分辨率数据应用于自己农场的小气候具体情况。因此,我们的研究结果表明,为支持农业决策,ESM 的发展重点应包括在模型中更好地体现农业管理实践,以及创建交互式数据仪表板或平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating farmers’ perspectives into Earth system model development: Interviews with end users in the Willamette Valley, Oregon to guide actionable science
This paper analyzes findings from semi-structured interviews and focus groups with 31 farmers in the Willamette Valley in which farmers were asked about their needs for climate data and about the usability of a range of outputs from the Community Earth System Model version 2 (CESM2) for their soil management practices. Findings indicate that climate and soils data generated from CESM and other Earth system models (ESMs), despite their coarse spatial scale resolutions, can inform farmers' long-term decisions, but that the data would be more usable if the outputs were provided in a format that allowed farmers to choose the variables and thresholds relevant to their particular needs and if ESMs incorporated farmer practices including residue removal, cover cropping, and tillage levels into the model operations so that farmers could better understand the impacts of their decisions. Findings also suggest that although there is a significant gap in the spatial resolution at which these global ESMs generate data and the spatial resolution needed by farmers to make most decisions, farmers are adept at making scalar adjustments to apply coarse resolution data to the specifics of their own farm's microclimate. Thus, our findings suggest that, to support agricultural decision-making, development priorities for ESMs should include developing better representations of agricultural management practices within the models and creating interactive data dashboards or platforms.
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