Amazon commercial fishing dynamics: a space macroscale analysis on fishing variables/ A dinâmica da pesca comercial amazônica: uma análise em macroescala espacial sobre variáveis da pesca

• Autor(a) principal: Lopes, Giulia Cristina dos Santos
• Data de Publicação: 2020
• Outros Autores: Catarino, Michel Fabiano, Castello, Leandro, Freitas, Carlos Edwar de Carvalho
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Veras
• Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/6696
• topic: Inland fishing; fishing landing; fishing grounds.

The landscape and the dynamics of seasonal flooding should be considered in the development of fishery management measures in the Amazon, as these factors determine the distribution and ecology of fishery resources and consequently the behavior of fisherman and fishery. In this context, the spatial dynamics of commercial fishing in the upper and lower reaches of the Solimões River were analyzed and the hypothesis that fishing is homogeneously developed by the Amazonian landscape was discussed. Catch data, number of fishers per trip, duration of fisheries and fishing locations were collected in 2012 at the main landing centers of the municipalities of Benjamin Constant and Iranduba. The geographical coordinates of fishing locations were recorded in 2018 using a hydrographic map of municipalities, a list of fishing locations documented in 2012 and the help of fishermen. The spatialization of fishery information was performed by municipality, by fishing location and by river regime period using the QGIS software (2.18). Thirty-two fishing sites were identified in the municipalities. The fishermen operated within a 175 km radius of Benjamin Constant during both periods of the river regime. In Iranduba the area of operation was 28 km in high water and 35 km in low water. In Benjamin Constant the Solimões River recorded the highest catches in both periods. In Iranduba the Iranduba coast and Manaquiri beach recorded the highest catches during periods of high and low waters, respectively. In Benjamin Constant the highest yields were recorded in the 35 km zone far from the municipal headquarters in both periods. While in Iranduba, in the high water period the highest yield was recorded in locations closer to the municipal headquarters than in the low water period. With the analysis of the spatial dynamics of commercial fishing we reject the hypothesis that fishing is homogeneously distributed throughout the Amazonian landscape and we propose to consider the spatial aspects of this activity in management systems.