1. Renato Silvano
  2. https://www.researchgate.net/profile/Renato_Silvano
  3. Dr.
  5. Universidade Federal do Rio Grande do Sul
  1. Mariana Clauzet
  3. Universidade Federal do Rio Grande do Sul
  1. Gustavo Hallwass
  2. Dr.
  4. Universidade Federal do Oeste do Para

Linking sustainability of small-scale fisheries, fishers’ knowledge, conserva...


2019 (see original presentation & discussion)

Undergraduate, Adult learners, Informal / multi-age

This video summarizes research results of our PEER project funded by NAS/USAID (2015-2018), during which we made eight research expeditions to two rivers of the Brazilian Amazon (Tapajos and Negro, four trips to each river). The major goals of this project were to better understand small-scale fisheries and the interactions between fish and people. Here we describe two participatory methods that we used to work with fishers: mapping and participatory monitoring. During the research, we studied 16 communities (eight in each river). We mapped fishers’ knowledge about relevant sites for fish reproduction, fish migration and fishing, so we can deliver spatialized data in maps or satellite images. We implemented a participatory monitoring program on which some fishers voluntarily recorded their fish landings 5 days per month during 12 months, from July 2016 to June 2017 in Tapajos and from August 2016 to July 2017 in Negro. A total of 130 fishers from both rivers participated in this monitoring activity (73 in Tapajos and 57 in Negro), recording 3760 fish landings in total that were suitable for analyses. We also made a pilot study of fisheries monitoring through a mobile app using Open Data Kit (ODK) technology, in three communities during three months in the Tapajos River. The ODK method showed a good performance when compared to the other method (voluntary recording). During the last two trips, we organized meetings in all the studied communities to communicate some results to them, discuss the potential implications and talk about problems and solutions to local fisheries. We believe that the large amount of data we have can help fishers and managers alike to develop the best and more feasible management options, on a case-by-case, or community-by-community basis.

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