scholarly journals Telling the same story: Fishers and landing data reveal changes in fisheries on the Southeastern Brazilian Coast

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252391
Author(s):  
Carine O. Fogliarini ◽  
Carlos E. L. Ferreira ◽  
Jéssica Bornholdt ◽  
Moysés. C. Barbosa ◽  
Vinicius J. Giglio ◽  
...  
Keyword(s):  
Trophic Level ◽  
Local Ecological Knowledge ◽  
Marine Ecosystems ◽  
Temporal Changes ◽  
Brazilian Coast ◽  
Ecological Knowledge ◽  
Sources Of Information ◽  
Target Species ◽  
Multiple Sources ◽  
In The Beginning

An understanding of the effects of fishing on marine ecosystems relies on information about the conserved state of these environments. Non-conventional approaches such as the use of historical data and local ecological knowledge can provide information and help adjust our references of changes in the environment. Also, the combination of different types of data can indicate a fisheries trend that would be undetectable when evaluated separately. Here we investigated changes in fisher’s perceptions regarding overexploited and new target species in artisanal fisheries in a secular fishing village of the subtropical, southeastern Brazilian coast. We identified temporal changes in landings and in the mean trophic level (MTL) of high trophic level species (≥ 3.5 and >4) over 16 years. Fishers’ knowledge revealed shifts in perception associated with years of fishing practice. More experienced fishers recognized a greater number of overexploited and new target species than fishers in the beginning of their careers. Landing data has revealed declining trends of 72% for five mesopredators species. Due to the overfishing of mesopredators, there was a shift in target species, towards fish that were previously discarded. Temporal changes in landings and in the MTL metric are concordant with previous reports on the overexploitation of species caught by local fishers. Our work reveals that multiple sources of information can be combined to establish historical baselines and improve the detection of change in marine ecosystems.

scholarly journals Marine protected area and the spatial distribution of the gill net fishery in Copacabana, Rio de Janeiro, RJ, Brazil

2016 ◽  
Vol 76 (1) ◽  
pp. 1-9 ◽  
Author(s):  
R. B. Amorim ◽  
C. Monteiro-Neto
Keyword(s):  
Protected Area ◽  
Rio De Janeiro ◽  
Marine Protected Area ◽  
Local Ecological Knowledge ◽  
Ecological Knowledge ◽  
Target Species ◽  
Fisheries Resources ◽  
Gill Net ◽  
Fishing Gears ◽  
Management Plans

Abstract This study characterizes the gill net fishery at Colônia de Pescadores Z13 (CPZ13), in Copacabana, Rio de Janeiro, and its relationship with the marine protected area ‘Monumento Natural do Arquipélago das Ilhas Cagarras – MoNa Cagarras’, describing the fleet and fishing gears, identifying fishing spots, species and their associations by gillnet type. From June 2012 to May 2013, every Tuesday to Sunday, gill net landings were monitored and fishers interviewed regarding their catch. Small boats (dory whaleboats) are used to set three types of gillnets: “Corvineira” (target species – whitemouth croaker), “linguadeira” (target species – flounders) and “rede-alta” (target species – bluefish). Fifty-nine species within 37 families were captured at 14 fishing spots, showing association with bottom type and distance from shore. The use of fisher’s local ecological knowledge defines gear placement at specific sites targeting fisheries resources. All fishing sites are not within the limits of MoNa Cagarras but would benefit from management plans including an MPA buffering zone.

scholarly journals Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management

2012 ◽  
Vol 10 (1) ◽  
pp. 133-147 ◽  
Author(s):  
Renato A. M. Silvano ◽  
Alpina Begossi
Keyword(s):  
Fisheries Management ◽  
Trophic Interactions ◽  
Feeding Habits ◽  
Local Ecological Knowledge ◽  
Scientific Data ◽  
Brazilian Coast ◽  
Ecological Knowledge ◽  
Rock Formations ◽  
Management Measures ◽  
And Migration

We analyzed fishermen's local ecological knowledge (LEK) about the feeding habits, trophic interactions, habitats, fishing grounds, migration, and reproduction of nine coastal fishes in Búzios Island, southeastern Brazilian coast. We interviewed 39 fishermen using standardized questionnaires. Fishermen's LEK on habitat use and trophic interactions for the studied fishes agreed with the scientific literature, allowing the organization of reef and pelagic food webs. The interviewed fishermen mentioned that submerged rock formations would be important habitats for some large commercial fishes, such as Seriola spp., Caranx latus and Epinephelus marginatus. In some instances there was no scientific data to be compared with fishermen's LEK, and thus this kind of knowledge would be the only available source of information, such as for reproduction and migration of most of the studied fishes. We suggest herein ways to apply fishermen's LEK to develop and improve fisheries management measures, such as zoning of marine space, marine protected areas, and closed fishing seasons. Fishermen's LEK may be an important and feasible support to fisheries management and co-management.

scholarly journals A Framework for Simulating Ecosystem Effects in Data-Poor Small-Scale Fisheries Using Science-Based and Local Ecological Knowledge-Based Models

2022 ◽  
Vol 8 ◽  
Author(s):  
Manuel J. Zetina-Rejón ◽  
Gladis A. López-Ibarra ◽  
Lorena Rocha-Tejeda ◽  
Alesa Flores-Guzmán ◽  
Inés López-Ercilla ◽  
...  
Keyword(s):  
Local Ecological Knowledge ◽  
Management Strategies ◽  
Ecological Indicators ◽  
Marine Ecosystems ◽  
Small Scale ◽  
Ecological Knowledge ◽  
Quantitative Models ◽  
Small Scale Fisheries ◽  
Qualitative Models ◽  
Species Removal

The constant demand for seafood products and the undeniable effects of fishing on marine ecosystems make it urgent to implement an ecosystem approach, even in data-poor scenarios such as small-scale fisheries. Understanding the impacts of fishing is essential for promoting management strategies that prevent irreversible damage to marine ecosystems. Thus, ecosystem quantitative science-based models have been frequently used to evaluate the effects of fishing, although fishers’ local ecological knowledge (LEK) can aid the implementation of qualitative models, particularly in data-poor conditions. Here, we present a framework for simulating and assessing the effects of fishing following two strategies: (1) for both types of models, we simulated species removal scenarios, and (2) for quantitative science-based models, we fitted time series to dynamically assessed impacts. The impacts were analyzed through ecological indicators commonly used for quantitative models, and because these indicators cannot be easily estimated for qualitative models, we propose the use of topological indicators in both types of models. The approach was applied to three case studies of small-scale finfish fisheries in northwestern Mexico. We found that the ecosystem response to species removal was different in each case study and that the target species can play an important role in ecosystems, but their removal does not generate abrupt changes in the ecosystem structure. The quantitative science-based models were able to reproduce the historical catch trends, which allowed us to reveal that changes in ecosystems are indeed influenced by fishing effort but also by underlying primary productivity. Furthermore, topological and ecological indicators showed similar trends in the quantitative models, which suggests that the former could be useful when data-poor conditions allow only qualitative models. This result confirms the relevance of the participation of fishers in generating qualitative models and their decisive role in the discussion of co-management strategies and risk scenarios in a better-informed manner.

Supporting the Development of Clinical Reasoning of Preprofessional Novices in Dysphagia Management

2019 ◽  
Vol 40 (03) ◽  
pp. 151-161 ◽  
Author(s):  
Sebastian Doeltgen ◽  
Stacie Attrill ◽  
Joanne Murray
Keyword(s):  
Clinical Reasoning ◽  
Clinical Decision Making ◽  
Management Practice ◽  
Clinical Decision ◽  
Assessment Process ◽  
Evidence Based ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Implicit Processing ◽  
Reasoning Skills

AbstractProficient clinical reasoning is a critical skill in high-quality, evidence-based management of swallowing impairment (dysphagia). Clinical reasoning in this area of practice is a cognitively complex process, as it requires synthesis of multiple sources of information that are generated during a thorough, evidence-based assessment process and which are moderated by the patient's individual situations, including their social and demographic circumstances, comorbidities, or other health concerns. A growing body of health and medical literature demonstrates that clinical reasoning skills develop with increasing exposure to clinical cases and that the approaches to clinical reasoning differ between novices and experts. It appears that it is not the amount of knowledge held, but the way it is used, that distinguishes a novice from an experienced clinician. In this article, we review the roles of explicit and implicit processing as well as illness scripts in clinical decision making across the continuum of medical expertise and discuss how they relate to the clinical management of swallowing impairment. We also reflect on how this literature may inform educational curricula that support SLP students in developing preclinical reasoning skills that facilitate their transition to early clinical practice. Specifically, we discuss the role of case-based curricula to assist students to develop a meta-cognitive awareness of the different approaches to clinical reasoning, their own capabilities and preferences, and how and when to apply these in dysphagia management practice.

The missing wetlands: using local ecological knowledge to find cryptic ecosystems

2011 ◽  
Vol 21 (1) ◽  
pp. 51-63 ◽  
Author(s):  
Amber L. Pitt ◽  
Robert F. Baldwin ◽  
Donald J. Lipscomb ◽  
Bryan L. Brown ◽  
Joanna E. Hawley ◽  
...  
Keyword(s):  
Local Ecological Knowledge ◽  
Ecological Knowledge
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