Method for Estimating Ecological Carrying Capacity of DataPoor Coastal Finfish Cage Aquaculture Sites in Southeast Asia at System-Scale

R. Mayerle
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Abstract

This study presents the development of a simple and generally applicable method for estimating ecological carrying capacity (ECC) of coastal finfish cage aquaculture at the system-scale in Southeast Asia and potentially other data-poor island nations. The ECC method relies primarily on results of dynamic models for simulation of organic loading due to multiple fish farms. In this study, the ECC method was successfully integrated within a methodology under development at Kiel University to holistically evaluate site suitability, ecological carrying capacities at farm-level and system-scale, as well as siting. Results of the application of the methodology for a target aquaculture site in northwest Bali, Indonesia, are presented in this study. Analysis of these results identified traditional fish farms located outside suitable areas and large-scale commercial farm clusters operating beyond ecological carrying capacity. Nonetheless, it was found that production output of the site in Bali is far below ECC and that it could be increased considerably without harming the environment. Recommendations have been made for reallocating the mispositioned farms as well as for reducing fish production of the farm clusters while expanding overall fish production to the east. The ongoing operational early warning monitoring at the site in Bali is being supplemented with regular monitoring of sediment quality in the seafloor and water quality in the aquaculture area to promote sustainable development. The proposed methodology has wide applicability and can be easily adapted to other regions for investigating present conditions and planning new aquaculture sites in pristine regions. The methodology is currently being up scaled to several target sites selected by the Indonesian Government to expand the activity.
东南亚沿海网箱养殖数据池生态承载力系统尺度估算方法
本研究提出了一种简单且普遍适用的方法,用于估算东南亚和其他可能缺乏数据的岛国系统规模的沿海网箱养殖的生态承载能力(ECC)。ECC方法主要依赖于动态模型的结果,用于模拟多个养鱼场的有机负荷。在这项研究中,ECC方法被成功地整合到基尔大学正在开发的一种方法中,以全面评估场地的适宜性、农场层面和系统规模的生态承载能力以及选址。本研究介绍了该方法在印度尼西亚巴厘岛西北部一个目标水产养殖场的应用结果。对这些结果的分析表明,传统养鱼场位于适宜区域之外,大型商业养鱼场集群超出了生态承载能力。然而,人们发现,巴厘岛的生产产量远低于ECC,可以在不损害环境的情况下大幅增加。已提出建议,重新分配定位错误的渔场,以及减少渔场群的鱼产量,同时将整体鱼产量扩大到东部。目前正在巴厘场址进行的业务预警监测正在辅以对海底沉积物质量和水产养殖区水质的定期监测,以促进可持续发展。所提出的方法具有广泛的适用性,可以很容易地适用于其他地区,以调查原始地区的现状和规划新的水产养殖场。该方法目前正在扩大到印度尼西亚政府为扩大活动而选定的几个目标地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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