Filling global gaps in monitoring data with local knowledge

Castello, Leandro

doi:10.1002/aqc.3937

Cited by 4 publications

(4 citation statements)

References 89 publications

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“…However, only about half of the studies that assessed fishers' recall and monitoring landings data for statistical relationships found support (Jones et al 2008(Jones et al , 2020Beegle et al 2012;O'Donnell et al 2012). The available evidence indicates fishers' recalls are not perfect substitutes for fisheries landing data but serve as useful proxies to identify general trends where no data exist (Castello 2023).…”

Section: Introductionmentioning

confidence: 99%

An approach to assess data-less small-scale fisheries: examples from Congo rivers

Castello

Carvalho

Ateba

et al. 2023

Rev Fish Biol Fisheries

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Small-scale fisheries (SSF) account for much of the global fish catch, but data to assess them often do not exist, impeding assessments of their historical dynamics and status. Here, we propose an approach to assess 'data-less' SSF using local knowledge to produce data, life history theory to describe their historical multispecies dynamics, and length-based reference points to evaluate stock status. We demonstrate use of this approach in three data-less SSFs of the Congo Basin. Fishers' recalls of past fishing events indicated fish catch declined by 65–80% over the last half-century. Declines in and depletion of many historically important species reduced the diversity of exploited species, making the species composition of the catch more homogenous in recent years. Length-at-catch of 11 of the 12 most important species were below their respective lengths-at-maturity and optimal lengths (obtained from Fishbase) in recent years, indicating overfishing. The most overfished species were large-bodied and found in the Congo mainstem. These results show the approach can suitably assess data-less SSF. Fishers' knowledge produced data at a fraction of the cost and effort of collecting fisheries landings data. Historical and current data on fish catch, length-at-catch, and species diversity can inform management and restoration efforts to curb shifting baselines of these fisheries. Classification of stock status allows prioritizing management efforts. The approach is easy to apply and generates intuitive results, having potential to complement the toolkits of researchers and managers working in SSF and engage stakeholders in decision-making processes.

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Section: Introductionmentioning

confidence: 99%

An approach to assess data-less small-scale fisheries: examples from Congo rivers

Castello

Carvalho

Ateba

et al. 2023

Rev Fish Biol Fisheries

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“…Developing countries such as Brazil require urgent conservation actions even if biological data is scarce or insufficient to guide decision-making. Although a high value is placed on standardized, large-scale biological data collection in conservation, natural resource management has already been done even without scientific data by communities in self- and co-management systems worldwide for a long time ( Ostrom, 2009 ; Castello, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

“…It also allows that problems or fundamental issues in the locality to be addressed, which may not correspond to the issues identified by scientists or decision-makers ( e.g ., top-down approaches in conservation). Involving local stakeholders in monitoring has also been shown to improve management responses at the local scale, leading to faster and more cost-effective implementation of decisions, if compared to monitoring arrangements imposed by scientists ( Castello, 2023 ). Participatory approaches make it possible to map specific small-scale fishing territories, for example, and provide important data to support the management, conservation, and ecology of marine species ( Verutes et al, 2020 ; Silvano et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Critical areas for sea turtles in Northeast Brazil: a participatory approach for a data-poor context

Oliveira,

Nazareth Rivera,

Carramaschi de Alagão Querido

et al. 2024

PeerJ

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Fishing is one of the main threats to sea turtles due to the risk of entanglement in lost nets, vessel collision and mortality due to incidental catches. In Brazil, most of the studies regarding fishing interactions with sea turtles are focused on pelagic longline fisheries in the South and Southeast regions. However, their main reproductive areas in Southwest Atlantic RMU occur in Northeast Brazil, which overlaps small-scale coastal gillnet fisheries. Here, we aimed to use ethnobiology and participatory approaches as simple and cost-effective methods to identify areas for sea turtle conservation where impacts from small-scale fisheries are most likely. Expert captains were trained to recording sea turtle sightings during navigations from the landing port to the fishing grounds, informing their folk nomenclatures. By interpolation of environmental data (chlorophyll and bathymetry) and ecological data, we predicted habitats of 3,459.96 km² for Caretta caretta, Chelonia mydas, and Eretmochelys imbricata and fishing zones of 1,087 km² for management in 20 m and 50 m depths. Our results contributes to ongoing discussions of bycatch mitigation for sea turtle species and identification of habitats. We highlights the importance of considering particularities of overlapped areas in marine spatial planning and co-management arrangements.

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“…It can also build trusted partnerships between these initiatives, policy actors, and other stakeholders, as evidenced by the experience in Ghana to tackle the marine plastic litter problem (Olen 2022). Pasgaard et al (2023this issue) offer an alternative view to this debate, highlighting the need to expand citizen science beyond the "translation of science into communities," while also integrating local, traditional, and Indigenous knowledge (Tengö et al 2021;Castello 2023) with conventional science to bring about transformative change.…”

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confidence: 99%

The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks

Fraisl¹,

See

Campbell

et al. 2023

Citizen Science: Theory and Practice

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The United Nations (UN) Sustainable Development Goals (SDGs) are a series of global development targets that were adopted by all UN member states in 2015 to address the world's most pressing societal, environmental, and economic challenges by 2030 (UN 2015). They include 17 goals and 169 targets covering a wide range of topics from inclusive and equitable education to climate change. The achievement of the SDGs depends on our ability to accurately measure progress towards these topics using timely, relevant, and reliable data (Dang and Serajuddin 2020). To help in the development and implementation of such data and of monitoring mechanisms, a Global Indicator Framework was adopted by the UN General Assembly in 2017, which currently includes 231 unique indicators as a set of metrics to deliver information on the status and trends in each SDG target (UN 2017). However, the lack of resources and institutional capacity makes the monitoring of these indicators very challenging for the producers and users of official statistics, including National Statistical Offices (NSOs), line ministries, UN agencies and others that are responsible for compiling and disseminating official statistics (Fraisl et al. 2022).Citizen science, along with other new sources of data such as remote sensing and mobile phone records, offers a novel solution to complement and enhance official statistics, and to provide more detailed information that cannot be captured through traditional sources of data such as household surveys (Fritz et al. 2019;Dörler et al. 2021). Accordingly, Fraisl et al. (2020 found that citizen science data are contributing or could contribute to the monitoring of 33 percent of the SDG indicators. In addition to the SDGs, there are other frameworks such as the Paris Agreement (UNFCCC 2023), the Sendai Framework for Disaster Risk Reduction (UNDRR 2015), the New Urban Agenda (UN HABITAT 2016), and the post-2020 Global Biodiversity Framework (UN 2022a) that also require better monitoring and implementation, to which citizen science could contribute. For example, Danielsen et al ( 2014) have previously shown that 63 percent of the 186 indicators of 12 multilateral environmental agreements can be informed by citizen science data.Citizen science can also help to achieve transformative change, which can be defined as an extensive and foundational shift across social, environmental, economic, technological, and

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Filling global gaps in monitoring data with local knowledge

Cited by 4 publications

References 89 publications

An approach to assess data-less small-scale fisheries: examples from Congo rivers

An approach to assess data-less small-scale fisheries: examples from Congo rivers

Critical areas for sea turtles in Northeast Brazil: a participatory approach for a data-poor context

The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks

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