A spatial multivariate approach to understand what controls species catch composition in small-scale fisheries

Pennino, María Grazia; Thomé-Souza, Mario J. F.; Carvalho, Adriana Rosa; Fontes, Luiz Carlos da Silveira; Parente, Cristiano Leite; Lopes, Priscila F. M.

doi:10.1016/j.fishres.2015.11.028

Cited by 16 publications

(9 citation statements)

References 16 publications

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“…Our findings suggest that regulatory measures that control one fishing mode will probably affect fishers in different locations to varying extents within small-scale fisheries. This is true of regulations that affect specific gears and vessel types, as well as area closures (Pennino et al, 2016;Samoilys et al, 2017). For example, the use of SCUBA for collecting sea cucumbers was fully banned in Fiji after our surveys (Mangubhai et al, 2017) and our study informs us that fishers would be mostly affected in Bua.…”

Section: Understanding Fishing Modes In Artisanal Fisheriesmentioning

confidence: 64%

“…Moreover, these factors tend to interact. For instance, the type of vessel will affect the fishing grounds that can be accessed, and therefore also the species composition of the area fished (Pennino et al, 2016). In many cultures, men and women tend to use different methods and gears, influencing the species they can access (Lambeth et al, 2014;Santos, 2015;Purcell et al, 2016a).…”

Section: Introductionmentioning

confidence: 99%

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Discriminating Catch Composition and Fishing Modes in an Artisanal Multispecies Fishery

Fraser

Tagica²,

Lalavanua

et al. 2018

Front. Mar. Sci.

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Many small-scale fisheries are multi-species, and the catch composition can vary according to available habitats, fishing modes, and fisher groups. Here, we applied novel analyses for understanding the factors affecting differences in catch composition among fishers, which should be useful for planning regulatory measures and fishery development initiatives. Interviews with 235 artisanal fishers in Fiji were used to analyse how fishers' catch composition of 22 species of sea cucumbers varied across geographic scales (locations and villages within locations), genders, and fishing modes. Venn diagrams illustrated that gleaning and SCUBA diving were practiced to varying extents among locations and genders, whereas fishers used breath-hold diving more uniformly across the fishery. Segmented bubble plots revealed spatial variations in catch composition across the fishery. A PERMANOVA analysis found that species catch composition varied most across the two geographic scales and, secondarily, among fishing modes and between men and women. Gendered differences in catch composition were variable from one village to another, and so should not be generalized. SIMPER analyses showed that gleaners and SCUBA divers caught significantly different suites of sea cucumber species. Species threatened with extinction were among those typifying catches of SCUBA divers. Our novel graphical techniques are useful for visualizing fishing modes and catches across other fisheries. Artisanal fisheries may exhibit strong heterogeneity in catches at multiple spatial scales. Planning of regulatory measures that limit certain fishing modes or species should take into account the likely differential impacts on different fishing communities and genders.

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Section: Understanding Fishing Modes In Artisanal Fisheriesmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Discriminating Catch Composition and Fishing Modes in an Artisanal Multispecies Fishery

Fraser

Tagica²,

Lalavanua

et al. 2018

Front. Mar. Sci.

View full text Add to dashboard Cite

show abstract

“…Several studies have used different clustering techniques to define catch or landing profiles, and thereby structured and described the activities of various fisheries (e.g. Campos et al, 2007; Castro et al, 2010; Grazia Pennino et al, 2016; Hentati‐Sundberg et al, 2015; Marchal, 2008; Pelletier & Ferraris, 2000; Ziegler, 2012). By linking the profiles to fishing location and month, many of these studies gained insight into the spatio‐temporal dynamics of a fleet, including seasonality of landings.…”

Section: Introductionmentioning

confidence: 99%

“…

Small-scale fisheries cover a great variety of captured species, fishing grounds and seasons (e.g. Castello et al, 2013;Grazia Pennino et al, 2016;Tzanatos et al, 2006). It is estimated that about 90% of employed fishers and fish workers worldwide are engaged in the small-scale fisheries sector (World Bank, 2012), which can be important for shaping place identity of local communities and promoting place attachment and community cohesion, as well as touristic developments (Urquhart & Acott, 2013).Within the small-scale fisheries, gillnet fisheries contribute the largest share of global catches and catch values (Cashion et al, 2018).

…”

mentioning

confidence: 99%

Disentangling complexity of fishing fleets: using sequence analysis to classify distinguishable groups of vessels based on commercial landings

Meyer¹,

Krumme²

2021

Fisheries Management Eco

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Capturing the diversity of fishing fleets and identifying distinct subgroups is essential for effectively directing research and management efforts. In this study, the German Baltic gillnet fleet was split into distinguishable groups of vessels by applying a stepwise approach. Monthly landing profiles were classified using clustering techniques and arranged as annual landing sequences, as the basis to form groups of vessels with distinct annual landing sequences using sequence analysis. Commercial landings from 1243 vessels across 11 years (2008–2018) resulted in 8031 annual landing sequences, which were clustered into eight groups, each with a characteristic, annually recurring, seasonal landing pattern (cod group, cod‐herring group, herring‐flounder group, herring group, freshwater fish group, pikeperch group, eel group and port group). The results highlight the heterogeneity of the fleet and a strong adaptation to regional and seasonal resource availability. Studying sequences of landings instead of isolated events in time provides insight into the interlinkage and succession of landings and can aid at classifying fishing fleets and better targeting groups of vessels of interest.

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“…Of the few quantitative studies that have developed species complexes, the combination of expert judgment and multiple data sources or multivariate approaches (or both) have typically been used to assign species to appropriate groups. For example, both ordination and clustering methods can be used to examine species assemblages using one data source (e.g., Lee and Sampson, 2000;Williams and Ralston., 2002), or multiple data sources with each dataset being analyzed separately, summarized and compared to determine species groupings (e.g., Shertzer and Williams, 2008;Pennino et al, 2016). Other studies have developed methods to quantitatively synthesize findings of species co-occurrence when using multiple datasets.…”

Section: Introductionmentioning

confidence: 99%

Methods for Identifying Species Complexes Using a Novel Suite of Multivariate Approaches and Multiple Data Sources: A Case Study With Gulf of Alaska Rockfish

et al. 2021

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International and national laws governing the management of living marine resources generally require specification of harvest limits. To assist with the management of data-limited species, stocks are often grouped into complexes and assessed and managed as a single unit. The species that comprise a complex should have similar life history, susceptibility to the fishing gear, and spatial distribution, such that common management measures will likely lead to sustainable harvest of all species in the complex. However, forming complexes to meet these standards is difficult due to the lack of basic biological or fisheries data to inform estimates of biological vulnerability and fishery susceptibility. A variety of cluster and ordination techniques are applied to bycatch rockfish species in the Gulf of Alaska (GOA) as a case study to demonstrate how groupings may differ based on the multivariate techniques used and the availability and reliability of life history, fishery independent survey, and fishery catch data. For GOA rockfish, our results demonstrate that fishing gear primarily defined differences in species composition, and we suggest that these species be grouped by susceptibility to the main fishing gears while monitoring those species with high vulnerabilities to overfishing. Current GOA rockfish complex delineations (i.e., Other Rockfish and Demersal Shelf Rockfish) are consistent with the results of this study, but should be expanded across the entire GOA. Differences observed across species groupings for the variety of data types and multivariate approaches utilized demonstrate the importance of exploring a diversity of methods. As best practice in identifying species complexes, we suggest using a productivity-susceptibility analysis or expert judgment to begin groupings. Then a variety of multivariate techniques and data sources should be used to identify complexes, while balancing an appropriate number of manageable groups. Thus, optimal species complex groupings should be determined by commonality and consistency among a variety of multivariate methods and datasets.

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A spatial multivariate approach to understand what controls species catch composition in small-scale fisheries

Cited by 16 publications

References 16 publications

Discriminating Catch Composition and Fishing Modes in an Artisanal Multispecies Fishery

Discriminating Catch Composition and Fishing Modes in an Artisanal Multispecies Fishery

Disentangling complexity of fishing fleets: using sequence analysis to classify distinguishable groups of vessels based on commercial landings

Methods for Identifying Species Complexes Using a Novel Suite of Multivariate Approaches and Multiple Data Sources: A Case Study With Gulf of Alaska Rockfish

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