Banca de DEFESA: RAFAEL LUIS DA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : RAFAEL LUIS DA SILVA
DATA : 16/08/2019
HORA: 09:00
LOCAL: Sala 01, UNIR, Campus de Presidente Médici
TÍTULO:

MATHEMATICAL MODELING AND SYSTEMIC SIMULATION OF SEIZURES OF FISH IN THE AMAZON BASIN: AN APPROACH TO THE LAW OF CLOSURE


PALAVRAS-CHAVES:

Seizure, Inspection, Inland fisheries, Environmental changes, Ecosystem modeling.


PÁGINAS: 68
GRANDE ÁREA: Ciências Agrárias
ÁREA: Recursos Pesqueiros e Engenharia de Pesca
SUBÁREA: Recursos Pesqueiros de Águas Interiores
ESPECIALIDADE: Manejo e Conservação de Recursos Pesqueiros de Águas Interiores
RESUMO:

The management of the fishing activity for the Amazon region has been widely discussed among the various governmental sectors and users of the resource. The current management model is guided by Defeso's policy (Law No. 9,605, of 1998), which suspends the capture of certain stocks with the risk of overfishing. Contributing to this, contributes Law 10.779 / 2003, which provides for the granting of subsidy to the professional fisherman, as unemployment insurance, referring to the months of suspension of fishing. The data for this research were obtained from the Brazilian Institute for the Environment and Renewable Natural Resources (IBAMA) and the National Water Agency (ANA), the first provided aspects of illegal fishing and the second information from the hydrological level. The present study was structured on two conceptions. The first one analyzed the records of illegal fishing in the Amazon Basin, from 1992 to 2017. A total of 1,875 records of infractions were investigated, followed by fish seizures, mainly in the rivers, Solimões (1,294.09 tons), Negro (869, 36 tons), Purus (230.31 tons), Japurá (179.71 tons), Amazonas (95.02 tons) and Juruá (69.91 tons), with a total fish seized around 2,765.70 tons. A total of 34 species were identified, the main ones being pirarucu (Arapaima gigas) with 66.12%, followed by Tambaqui (Colossoma macropomum) with 21.70% and Surubim (Pseudoplatystoma fasciatum) with 2.82%, the other species grouped together 9,36% of the seizures. We used the technique of exploratory data analysis associated with the control chart for the detection of outliers in the time series of the data of the assessments, in which anomalies were verified in the quantitative of fish seized in the years 1999, 2000, 2001 and 2003, which oscillated at 409.81 tons, 493.37 tons, 530.59 tons and 310.79 tons, respectively. There was a marked decrease in seizures after the validity of the Defense Law, emphasizing that their due compliance, combined with the intensification of inspections, can make sustainability of inventories feasible. In the second conception, the study aimed at comparing the behavioral interfaces of fisheries in different catch periods, in the main rivers of the Amazon basin, correlating them with the hydrological seasonality, as well as frequency and production of the fisheries, considering in this scenario the effect of presence and absence of the Defense Law as moderator of this analysis. Later, these data were compiled and then fed the model, developed in the software Stella, version 8.0, that was used for the construction of the scenarios. In this study, two scenarios were simulated for illegal fishing, with a time span of 312 months (1992 to 2017). The results showed two patterns for illegal fishing activity against the law of the closed. In the first scenario, it showed the direct influence of the absence of the Law of the Defense on the fishing activities, causing great perturbations on the fishing stock. While in the second, there was an intense decrease in seizures in the presence of this law. When correlated with the oscillations of the hydrological level, they showed to follow different seasonal patterns, while scenario 1 observed the highest seizure values only in the flood , scenario 02 presented its apex of apprehension in the beginning of the flood and dry. The ecosystem model described here seems to be a promising tool for testing hypotheses, formulating and monitoring management scenarios, serving as the basis for decision makers in fisheries management in the Amazon.


MEMBROS DA BANCA:
Presidente - 1692690 - RANIERE GARCEZ COSTA SOUSA
Externo ao Programa - 3066639 - SEVERINO ADRIANO DE OLIVEIRA LIMA
Externo ao Programa - 3122885 - DONOVAN FILIPE HENRIQUE PINTO
Notícia cadastrada em: 26/07/2019 08:51
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