Use of GIS-based multicriteria evaluation for improved selection of suitable sites for cage fish farming in Mwanza Gulf, Lake Victoria

IF 1.1 Q3 FISHERIES Aquaculture, Fish and Fisheries Pub Date : 2023-11-15 DOI:10.1002/aff2.138
Makemie Jumanne Mabula, Danielson Kisanga, Siajali Pamba, Samwel Mchele Limbu
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Abstract

Stagnating capture fisheries and increasing fish protein demand necessitate aquaculture production to bridge the gap. Lake Victoria is a potential water body for increasing fish production through cage farming. The sustainability of Lake Victoria for cage farming depends on timely and holistic site selection. However, current site selection methods involve complex, resource-intensive field surveys that lack a holistic approach to integrate multiple factors. Accordingly, information regarding suitable sites for sustainable fish cage farming in Lake Victoria remains scarce. In this study, a transparent geographic information systems (GIS) and multicriteria evaluation (MCE) here after reffered to as GIS-MCE was used to reveal potential sites to be permitted or avoided during cage aquaculture development in the Mwanza Gulf of Lake Victoria (Tanzania). Our analysis involved weighting and integration of sub-models representing ecologically sensitive areas, physical environment, and socio-economic and water quality variables into a single spatial model portraying different site suitability levels in the Mwanza Gulf. The results indicated that the sub-models identified relatively larger suitable and most suitable sites compared to the overall model. No site maintained its status across all sub-models. The overall model designated a small area (5.10 km2 or 1.52%) as the most suitable site, with 24.20 km2 (7.44%) as suitable, 64.47 km2 (19.82%) as less suitable, and 42.63 km2 (13.12%) as unsuitable for cage fish farming. The remaining area (188.84 km2 or 58.06%) was a constrained site to be avoided during cage aquaculture development. Taken together, the individual sub-models are ineffective in designating potential sites for fish cage culture and thus should not be used solely. The GIS-MCE general model provides a fast and timely method for identifying potential sites for cage farming in Lake Victoria. Fish farmers and managers should use the GIS-MCE overall model in inland waters to facilitate site selection for complying with licensing requirements and decrease field extensive surveys.

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利用基于gis的多标准评价改进维多利亚湖姆万扎湾网箱养鱼适宜地点的选择
捕捞渔业停滞不前,鱼类蛋白质需求增加,因此需要水产养殖生产来弥补这一缺口。维多利亚湖是通过网箱养殖增加鱼类产量的潜在水体。维多利亚湖网箱养殖的可持续性取决于及时和全面的选址。然而,目前的选址方法涉及复杂的、资源密集型的实地调查,缺乏综合多种因素的整体方法。因此,关于维多利亚湖可持续网箱养殖的合适地点的信息仍然很少。在本研究中,利用透明地理信息系统(GIS)和多标准评估(MCE)(以下简称GIS-MCE)揭示了坦桑尼亚维多利亚湖Mwanza湾网箱养殖发展过程中允许或避免的潜在地点。我们的分析涉及将代表生态敏感区、物理环境、社会经济和水质变量的子模型加权并整合到一个单一的空间模型中,该模型描绘了姆万扎湾不同的选址适宜性水平。结果表明,与总体模型相比,各子模型确定的适宜和最适宜立地面积较大。没有站点跨所有子模型维护其状态。整体模型确定网箱养鱼最适宜面积为5.10 km2(1.52%),适宜面积为24.20 km2(7.44%),不适宜面积为64.47 km2(19.82%),不适宜面积为42.63 km2(13.12%)。其余面积为188.84 km2(58.06%),为网箱养殖开发应避免的受限场地。综上所述,单个子模型在指定网箱养鱼的潜在地点方面是无效的,因此不应单独使用。GIS-MCE通用模型为维多利亚湖网箱养殖选址提供了快速、及时的方法。养鱼户和管理者应在内陆水域使用GIS-MCE整体模式,以方便选择符合发牌规定的地点,并减少实地广泛调查。
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