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Integration of land and water resources, environmental characteristics, and aquaculture policy regulations into site selection using GIS based spatial decision support system
Marine Policy ( IF 3.5 ) Pub Date : 2021-12-30 , DOI: 10.1016/j.marpol.2021.104946
M. Jayanthi 1 , M. Kumaran 1 , S. Vijayakumar 1 , M. Duraisamy 1 , P.R. Anand 1 , M. Samynathan 1 , S. Thirumurthy 1 , S. Kabiraj 1 , K.P.K. Vasagam 1 , A. Panigrahi 1 , M. Muralidhar 1
Affiliation  

The aquaculture development has raised many environmental concerns worldwide due to its unregulated and unplanned expansion and outshined the advantages of increasing fish production by utilizing unused lands. The present study aimed to identify suitable sites for aquaculture by integrating land resources availability, source water bodies characteristics, unproductive lands soil quality, and infrastructure support into existing national aquaculture developmental laws using a spatial decision support system at Puducherry Union Territory, India. The seventeen influencing factors have been measured, mapped, quantified, and integrated through pairwise matrix based sensitive analysis and Geographical Information System (GIS). The spatial regulations of the Coastal Aquaculture Authority Act (2005) of India were applied to remove restricted regions such as mangroves, agricultural lands, lands used for other purposes, lands up to 200 m from high tide lines. Also, suitable buffer zones were established between the productive resources before delineating the potential aquaculture zones. The results showed that 416 ha was available for aquaculture, including 244 ha in most suitable, 81 ha in suitable, and 91 ha in moderately suitable classification levels. Combining sensitivity analysis and spatial model into resource characteristics, land availability, and aquaculture regulation laws will direct aquaculture sustainably and responsibly while protecting the other productive ecosystems characteristics.



中文翻译:

使用基于 GIS 的空间决策支持系统将土地和水资源、环境特征和水产养殖政策法规整合到选址中

水产养殖的发展由于其不受管制和计划外的扩张而在世界范围内引起了许多环境问题,并超过了利用未利用土地增加鱼类产量的优势。本研究旨在通过使用印度本地治里联合领地的空间决策支持系统,将土地资源可用性、水源水体特征、非生产性土地土壤质量和基础设施支持纳入现有的国家水产养殖发展法律,以确定适合水产养殖的地点。通过基于成对矩阵的敏感分析和地理信息系统 (GIS),对 17 个影响因素进行了测量、映射、量化和整合。印度沿海水产养殖管理局法案(2005 年)的空间规定适用于移除限制区域,例如红树林、农田、用于其他目的的土地、距高潮线达 200 m 的土地。此外,在划定潜在水产养殖区之前,在生产资源之间建立了合适的缓冲区。结果表明,可用于水产养殖的面积为416公顷,其中最适宜244公顷,适宜81公顷,中等适宜91公顷。将敏感性分析和空间模型与资源特征、土地可用性和水产养殖监管法律相结合,将指导可持续和负责任的水产养殖,同时保护其他生产性生态系统特征。距离高潮线可达 200 m。此外,在划定潜在水产养殖区之前,在生产资源之间建立了合适的缓冲区。结果表明,可用于水产养殖的面积为416公顷,其中最适宜244公顷,适宜81公顷,中等适宜91公顷。将敏感性分析和空间模型与资源特征、土地可用性和水产养殖监管法律相结合,将指导可持续和负责任的水产养殖,同时保护其他生产性生态系统特征。距离高潮线可达 200 m。此外,在划定潜在水产养殖区之前,在生产资源之间建立了合适的缓冲区。结果表明,可用于水产养殖的面积为416公顷,其中最适宜244公顷,适宜81公顷,中等适宜91公顷。将敏感性分析和空间模型与资源特征、土地可用性和水产养殖监管法律相结合,将指导可持续和负责任的水产养殖,同时保护其他生产性生态系统特征。适合81公顷,中等适合91公顷。将敏感性分析和空间模型与资源特征、土地可用性和水产养殖监管法律相结合,将指导可持续和负责任的水产养殖,同时保护其他生产性生态系统特征。适合81公顷,中等适合91公顷。将敏感性分析和空间模型与资源特征、土地可用性和水产养殖监管法律相结合,将指导可持续和负责任的水产养殖,同时保护其他生产性生态系统特征。

更新日期:2021-12-31
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