Institute of Biodiversity Science, Fudan University, Shanghai, 200438, China.
Center for Watershed Ecology, Institute of Life Science, Nanchang University, Nanchang, 330031, China.
Sci China Life Sci. 2016 Mar;59(3):312-24. doi: 10.1007/s11427-015-4950-0. Epub 2016 Jan 9.
Although China has established more than 600 wetland nature reserves, conservation gaps still exist for many species, especially for freshwater fishes. Underlying this problem is the fact that top-level planning is missing in the construction of nature reserves. To promote the development of nature reserves for fishes, this study took the middle and lower reaches of the Yangtze River basin (MLYRB) as an example to carry out top-level reserve network planning for fishes using approaches of systematic conservation planning. Typical fish species living in freshwater habitats were defined and considered in the planning. Based on sample data collected from large quantities of literatures, continuous distribution patterns of 142 fishes were obtained with species distribution modeling and subsequent processing, and the distributions of another eleven species were artificially designated. With the distribution pattern of species, Marxan was used to carry out conservation planning. To obtain ideal solutions with representativeness, persistence, and efficiency, parameters were set with careful consideration regarding existing wetland reserves, human disturbances, hydrological connectivity, and representation targets of species. Marxan produced the selection frequency of planning units (PUs) and a best solution. Selection frequency indicates the relative protection importance of a PU. The best solution is a representative of ideal fish reserve networks. Both of the PUs with high selection frequency and those in the best solution have low proportions included in existing wetland nature reserves, suggesting that there are significant conservation gaps for fish species in MLYRB. The best solution could serve as a reference for establishing a fish reserve network in the MLYRB. There is great flexibility for replacing selected PUs in the solution, and such flexibility facilitates the implementation of the solution in reality in case of unexpected obstacles. Further, we suggested adopting a freshwater management framework in the implementation of such solution.
尽管中国已经建立了 600 多个湿地自然保护区,但许多物种,特别是淡水鱼类的保护仍存在差距。造成这一问题的根本原因是自然保护区建设缺乏顶层规划。为了促进鱼类自然保护区的发展,本研究以长江中下游流域(MLYRB)为例,采用系统保护规划方法,对鱼类进行了顶层保护区网络规划。规划中考虑了生活在淡水生境中的典型鱼类物种。根据大量文献中收集的样本数据,采用物种分布模型和后续处理方法,获得了 142 种鱼类的连续分布模式,并人为指定了另外 11 种鱼类的分布。基于物种分布模式,使用 Marxan 进行保护规划。为了获得具有代表性、持久性和效率的理想解决方案,在考虑现有湿地保护区、人为干扰、水文连通性和物种代表性目标的基础上,仔细考虑了参数设置。Marxan 产生了规划单元(PU)的选择频率和最佳解决方案。选择频率表示 PU 的相对保护重要性。最佳解决方案是理想鱼类保护区网络的代表。具有高选择频率的 PUs 和最佳解决方案中的 PUs 都有较低的比例包含在现有的湿地自然保护区中,这表明 MLYRB 鱼类物种存在严重的保护差距。最佳解决方案可作为在 MLYRB 建立鱼类保护区网络的参考。该解决方案中具有很大的替换所选 PU 的灵活性,这种灵活性有利于在实际实施中遇到意外障碍时实施该解决方案。此外,我们建议在实施该解决方案时采用淡水管理框架。