吸引利益相关者加强长期农业生态系统研究 (LTAR) 指标框架中的知识共产
Alia N DeLong1, Matthew M McIntosh2,3,4, Megan Donovan4
1Archbold Biological Station, Buck Island Ranch, Lake Placid, Florida, USA.
Journal of environmental quality
|October 17, 2025
概括
让利益相关者参与制定农业可持续性指标至关重要. 共同生产知识确保这些工具对不同农业生态系统的生产者和土地管理者具有相关性和可用性.
科学领域:
- 农业科学 农业科学
- 社会生态系统社会生态系统
- 可持续性指标 可持续性指标
背景情况:
- 农业条件正在迅速变化,需要适应性解决方案来进行复杂的决策.
- 长期农业生态系统研究 (LTAR) 网络开发了一个可持续性指标系统,以支持生产者和土地管理者.
- 需要进行特定地点的调整,以提高网络水平指标框架的适用性.
研究的目的:
- 为了比较两个LTAR网站 (新墨西哥州和佛罗里达州) 的利益相关者参与过程.
- 评估不同参与策略如何影响可持续性指标知识共产.
- 评估利益相关者参与定制LTAR指标框架的结果.
主要方法:
- 利用知识框架的联合生产来比较参与过程.
- 记录和分析了新墨西哥州基于对话的方法.
- 在佛罗里达州记录和分析了正式的社会科学方法.
主要成果:
- 一个结构化,探索性的参与策略产生了更具创造性的利益相关者见解.
- 基于对话的方法有效地确定了可行的数据收集指标.
- 这两种参与方法都产生了共同产生的知识,提高了当地指标框架的相关性.
结论:
- 对知识的共同生产对于创建相关和可用的可持续性指标框架至关重要.
- 可适应的框架和多样化的参与策略加强了LTAR网络的指标系统.
- 合作开发确保指标与科学理解和实地可用性保持一致.
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