评估和优化现有研究网络的综合框架
Alyson East1,2, Jitendra Kumar3, William Hargrove2
1Department of Wildlife, Fisheries, and Conservation Biology, University of Maine, Orono, Maine, USA.
概括
像美国农业部森林服务实验森林和范围网络 (EFRN) 这样的保护网络可以在战略上扩展. 一个新的框架优化了监测资源,以改善生态研究的地理覆盖和科学推断.
科学领域:
- 生态研究基础设施生态研究基础设施
- 保护科学 保护科学
- 环境监测网络 环境监测网络
背景情况:
- 保护和生态研究依赖于研究地点的网络,但许多是机会主义地发展,限制了区域保护的洞察力.
- 现有网络可能无法系统地代表不同的环境条件,这阻碍了全面的区域分析.
研究的目的:
- 开发和展示一个框架来评估现有的生态研究网络的代表性.
- 创建一个优先考虑战略扩建地点的方法,以优化保护影响和科学推断.
主要方法:
- 制定了一个评估环境代表性,地理覆盖面和科学推断充分性的框架.
- 将框架应用于美国农业部 (USDA) 森林服务实验森林和范围网络 (EFRN).
- 根据其提高网络性能的潜力,对扩张的候选网站进行排名.
主要成果:
- 在全国范围内,EFRN有效地代表了高生物质森林 (82%的森林生物质得到了充分代表).
- 德克萨斯州,佛罗里达州,落基山脉和西海岸等地区的覆盖范围存在重大差距,限制了区域推断.
- 添加排名第一的扩张站点可以显著提高代表性不足地区的全国覆盖率.
结论:
- 定量框架可以指导战略决策,以优化保护和监测网络.
- 在扩大网络时,平衡地方和全球优先事项至关重要,因为区域改进可能并不总是带来国家利益.
- 这种方法提供了一个可扩展的解决方案,用于增强全球生态研究中有限的监测资源的影响.
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