Kent Business School, University of Kent, Canterbury, Kent CT2 7PE, United Kingdom.
J Environ Manage. 2013 Aug 15;125:19-27. doi: 10.1016/j.jenvman.2013.02.055. Epub 2013 Apr 28.
Systematic methods for prioritizing the repair and removal of fish passage barriers, while growing of late, have hitherto focused almost exclusively on meeting the needs of migratory fish species (e.g., anadromous salmonids). An important but as of yet unaddressed issue is the development of new modeling approaches which are applicable to resident fish species habitat restoration programs. In this paper, we develop a budget constrained optimization model for deciding which barriers to repair or remove in order to maximize habitat availability for stream resident fish. Habitat availability at the local stream reach is determined based on the recently proposed C metric, which accounts for the amount, quality, distance and level of connectivity to different stream habitat types. We assess the computational performance of our model using geospatial barrier and stream data collected from the Pine-Popple Watershed, located in northeast Wisconsin (USA). The optimization model is found to be an efficient and practical decision support tool. Optimal solutions, which are useful in informing basin-wide restoration planning efforts, can be generated on average in only a few minutes.
系统的方法来优先修复和移除鱼类通道障碍，虽然最近才发展起来，但迄今为止几乎完全专注于满足洄游鱼类物种（例如溯河产卵的鲑鱼）的需求。一个重要但尚未解决的问题是开发新的建模方法，这些方法适用于本地鱼类物种栖息地恢复计划。在本文中，我们开发了一种预算约束优化模型，用于决定修复或移除哪些障碍，以最大限度地提高溪流本地鱼类的栖息地可用性。基于最近提出的 C 度量来确定本地溪流流域的栖息地可用性，该度量考虑了不同溪流栖息地类型的数量、质量、距离和连通性水平。我们使用从位于美国威斯康星州东北部的派因-波普尔流域收集的地理空间障碍和溪流数据来评估我们模型的计算性能。优化模型被证明是一种高效实用的决策支持工具。优化解决方案可用于通知整个流域的恢复规划工作，平均只需几分钟即可生成。
