以开放式空间数据为数据贫困的沿海规划指导利益相关方的谈判.
Latifa Pelage1, Adrien Brunel1, Elodie Fache2
1MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Sète, France.
概括
本研究提出了一个数据驱动的框架,用于数据贫困地区的沿海规划,平衡保护与生计. 它帮助利益相关者谈判公平,多部门保护努力的权衡.
科学领域:
- 保护科学 保护科学
- 沿海地区的管理.
- 社会生态系统 社会生态系统
背景情况:
- 在以人类为主导的生态系统中,谈判保护优先事项是具有挑战性的,尤其是在数据有限的地区,利益相关者利益冲突.
- 沿海地区面临着发展 (如旅游业) 和资源利用 (如渔业) 之间的严重冲突.
研究的目的:
- 开发一个透明和可重复的框架,用于参与性沿海规划在数据贫困的环境中.
- 通过可视化保护目标与社会经济影响之间的权衡,为谈判保护优先事项提供信息.
主要方法:
- 结合开放式卫星图像与空间优先级的决策支持工具.
- 开发了一个框架来探索在定义保护目标,定位候选区域和确定限制级别时的权衡.
- 根据不同的指数和实践,生成了五种替代空间规划场景.
主要成果:
- 该框架可视化了权衡,帮助利益相关者了解对旅游和渔业的影响.
- 另类情景展示了如何调整限制以实现保护目标,同时支持当地生计.
- 确定现有保护单位的局限性,并促进包容性决策.
结论:
- 开发的方法提供了一个实用的工具,用于将利益相关者的谈判集中在保护规划中.
- 提供了一个可扩展和可转移的方法,用于在数据贫困的沿海地区,面临复杂的权衡,公平的多部门保护规划.
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