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Sustainability Analysis of the Benthic Fisheries Managed in the TURF System in Chile Cover

Sustainability Analysis of the Benthic Fisheries Managed in the TURF System in Chile

By: Natalia Arias and  Wolfgang Stotz  
Open Access
|Jul 2020

Figures & Tables

Table 1

Review of studies in the literature about TURFs. There are few studies that provide analysis based on data regarding stocks, production, income, etc. describing its performance through integral analysis. Studies analyzed N = 123, period from 2000 to 2019.

Characteristics of the Studies reviewedNumber
Studies containing reviews without own data123
Studies in Chile with own data63
Studies in the world with own data60
Case Studies58
Studies containing a sample of TURFs for some area58
Studies containing a census of TURFs for some area (as our study)7
Conceptual studies, without specific data analysis12
Studies including the analysis of indicators for one or some ambits100
Studies containing an integral analysis for diverse indicators (as our study)23
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Figure 1

Study site. Each TURF is shown by a point (black) in the regions of Atacama and Coquimbo.

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Figure 2

Number of TURFs by species declared as target species in the regions of Atacama (III) and Coquimbo (IV). The dotted line indicates the total number of TURFs in each region of analysis.

Table 2

Indicators analyzed by each ambit and their meaning.

AmbitIndicatorVariablesEquation or value estimation
PopulationAbundanceNumber of individuals in the TURF Surface area of the TURFa = N*ha–1
Where N stands for the total number of individuals in the TURF, and ha for the surface area of the TURF expressed in hectares
Condition indexIndividual sizes and weights of each individual above commercial size (Table 3)CI= Weight/Lengthb
Where b is the exponent of the potential equation of the height-weight relationship obtained from the annual monitoring reports.
Sizes structuresAverage size
Percentile 95% of the population size structure
Percentile 5% of the population size structure
Average size=
Σ sizes/number of individuals analized.
Percentile of 95% = size above the 5% of biggest individuals of the population are.
Percentile of 5% = size below the 5% of smallest individuals in the population are.
ProductionCapturesNumber of individuals or kilos extracted per hectareC= N*ha–1; Kg*ha–1
Where N stands for the total number of individuals captured and Kg the total weight of the all the individuals captured. ha is the surface area of each TURF in hectares.
YieldNumber of individuals necessary to produce one Kg (1000g) of productYield = 1000/P
Where P is the average weight (in grams) of commercial size individuals.
To obtain that average weight, the length-weight relationship of population sampled each year was used, using the following equation:
P = a*(LT)^b
Where a and b are values of the length-weight relationship equation obtained from the annual monitoring reports, LT is commercial size that depends on each species analyzed and P is the average weight of each individual of commercial size (Table 3).
Capture/Quota ratioCapture
Quota
Ratio = Capture/Quota
Represents the proportion of the allowed quota that is extracted of each species each year, which fluctuates between 0 and 1.
EconomicNumber of usersFormally inscribed usersNumber of artisanal fishermen formally associated with each TURF according to the official register.
Total incomeValue per individual or per Kg of each species captured
Number of individuals or Kg captured of each species
Total Income = Σ of the total value of each species captured each year, summed over all species in each TURF ($).
Per capita incomeTotal annual Income
Total annual costs
Number of users
Per capita Income=
(Total income-Total cost)/Number of users
SocialSchoolingYears of formal education of fishermenSchooling = Σ years in formal education of fishermen/Number of fishermen interviewed.
Housing qualityHousing type of artisanal fishermen associated to each TURF.See Table 4.
InstitutionalTURF activityYears since TURF creation (age of the TURF)
Years with extractive activity
Activity=
(Active years)/(Total years TURF)*100 Where “Active years” was estimated as number of years with extraction activity. “Total years TURF” was number of years that TURF has existed since the baseline study (ESBA) was made:
Total years TURF = 2015- year of completion of ESBA.
CommitmentNumber of annual meetings of the organization in charge of the TURFCommitment=
Σ meeting held in 12 months informed by different fishermen asked/Number of fishermen interviewed
ComplianceYears since TURF creation (age of the TURF)
Number of annual reports
Compliance=
(Number of annual reports)/(Total years TURF)*100
Where number of reports represent the amount of annual monitoring reports, which have been formally delivered to SUBPESCA by each organization. “Total years TURF” represents the age of the TURF since formal creation.
Shared responsibili-tiesExistence of commettees in the organization associated to each TURF
Actual activity of each committee
This indicator was categorized. There are commettees and they work = 3; There are commettees but mostly do not function = 2; There is no committee =1.
Shared responsabilities = Σ of categorical numbers given to each answer given by fishermen asked/Number of fishermen interviewed.
Table 3

Minimum commercial size of TURF main fisheries resources.

Main resourceMinimum size
Loco (Concholepas concholepas)100 mm peristomal opening length
Lapa negra (Fissurella latimarginata)65 mm shell length
Lapa rosada (Fissurella cumingi)65 mm shell length
Erizo rojo (Loxechinus albus)70 mm diameter
Macha (Mesodesma donacium)60 mm shell length
Ostión del norte (Argopecten purpuratus)90 mm shell length
Huiro negro (Lessonia berteroana)20 cm adhesive disc
Huiro palo (Lessonia trabeculata)20 cm adhesive disc
Table 4

Artisanal fishermen housing quality. Access type to basic services of electricity and drinking water: if they were provided by public network or by an alternative system. Housing situation: if one or several families lived in the same house. Housing type: if it is owned or not. If it was owned, a distinction was made between owning the land or not.

Access to basic serviceHousing situationType of propertyCategory
With basic service by public networkParticularOwn12
With basic service by public networkParticularOwn on private land11
With basic service by public networkParticularNot own10
With basic service by public networkCollectiveOwn9
With basic service by public networkCollectiveOwn on private land8
With basic service by public networkCollectiveNot own7
No basic service by public networkParticularOwn6
No basic service by public networkParticularOwn on private land5
No basic service by public networkParticularNot own4
No basic service by public networkCollectiveOwn3
No basic service by public networkCollectiveOwn on private land2
No basic service by public networkCollectiveNot own1
Table 5

TURF’s situation and qualification criteria for the analyzed indicators.

IndicatorCriteriaTURF situationValue
Abundance
95% Percentile
5% Percentile
Average size
Condition index
Captures
Capture-Quota ratio
Total income
Percapita income
Number of user
Tendency to be maintained over timeSustainable3
Tendency to increase or fluctuate over timePoorly sustainable2
Tendency to decrease over timeUnsustainable1
YieldTendency to be maintained over timeSustainable3
Trend towards better performancePoorly sustainable2
Trend towards worse performanceUnsustainable1
SchoolingGreater than 8,8 years – obligatory schooling in Chile is 8 yearsSustainable3
Between 4 and 8,7 yearsPoorly sustainable2
Less than 4 yearsUnsustainable1
Housing qualityGreater than 7 according Table 4Sustainable3
Between 4 and 7 according Table 4Poorly sustainable2
Less than 4, according Table 4Unsustainable1
TURF activityGreater than 90%Sustainable3
Between 60% and 90%Poorly sustainable2
Less than 60%Unsustainable1
CommitmentGreater than 9 meetingsSustainable3
Between 4 and 9 meetingsPoorly sustainable2
Less than 4 meetingsUnsustainable1
ComplianceGreater than 90%Sustainable3
Between 60% and 90%Poorly sustainable2
Less than 60%Unsustainable1
Responsibilities’s distributionThere are commettee and they workSustainable3
There are commettee but mostly do not functionPoorly sustainable2
There are no commetteeUnsustainable1
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Figure 3

Population indices of the TURFs of the Atacama and Coquimbo regions, based on the abundance, size structure and condition index of their main resources. The n represents the TURFs with available information for the analysis in each case. A) Frequency distribution of the different indices. Horizontal bars represent the mean, standard deviation and range of indices for each region B) Proportion of TURFs (%) in the different states.

Table 6

Statistics used to assess the performance of TURFs in each ambit, using the t-test for independent samples when appropriate.

AmbitTestp
Populationt1.98640.1701
Productivet1.98900.9316
EconomicMann-Whitney3.75000.0002
Socialt1.99660.2996
InstitutionalMann-Whitney0.58830.5563
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Figure 4

Productive situation of the TURFs of Atacama and Coquimbo regions, based on the capture, capture/quota ratio and yield of their main resources. The n represents the TURFs with available information for the analysis of this aspect. A) It shows the number of TURFs regarding their performance in Atacama and Coquimbo. Horizontal bars represent the mean, standard deviation and range of indices for each region. B) Shows the proportion of TURFs (%) that presented the different states.

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Figure 5

Economic situation of the TURFs of the Atacama and Coquimbo regions, based on total income, per capita income and number of users. The n represents the TURFs with available information for the analysis of this aspect. A) Shows the performance levels of TURFs in Atacama and Coquimbo. Horizontal bars represent the mean, standard deviation and range of indices for each region. B) Shows the proportions of TURFs (%) that presented the different states.

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Figure 6

Social situation of the TURFs of the Atacama and Coquimbo regions, based on schooling and housing quality of artisanal fishermen associated with this management system. The n represents the TURFs with available information for the analysis of this aspect. A) Shows the number of TURFs with different performances in Atacama and Coquimbo. Horizontal bars represent the mean, standard deviation and range of indices for each region. B) Shows the proportion of TURFs (%) that presented the different states.

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Figure 7

Institutional situation of the TURFs of Atacama and Coquimbo regions, based on their activity, compliance, commitment and shared responsibilities. The n represents the TURFs with available information for the analysis of this aspect. A) Shows the performance levels of TURFs in Atacama and Coquimbo. Horizontal bars represent the mean, standard deviation and range of indices for each region. B) Shows the proportion of TURFs (%) that presented the different states.

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Figure 8

General performance of TURFs in each analyzed ambit in Atacama (III) and Coquimbo (IV) regions.

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Figure 9

Cluster analysis of the TURFs of Atacama and Coquimbo regions: 7 groups were found and each number corresponds to a TURF of the analysis.

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Figure 10

Principal Component Analysis with the 7 groups established by the cluster analysis. Four components (PC1; PC2; PC3 y PC4) were analyzed. A: Shows components PC1 and PC2. B: Shows components PC3 and PC4. Most TURFs belong to group 2, which was characterized by intermediate performance in all areas of study.

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Figure 11

TURFs sustainability groups in Atacama and Coquimbo regions. The number inside each bar indicates the number of TURFs in each group.

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Figure 12

Number of TURFs (%)and information availability for each ambit analyzed. The number inside each bar indicates the number of TURFs in the group.

DOI: https://doi.org/10.5334/ijc.1011 | Journal eISSN: 1875-0281
Language: English
Submitted on: Nov 22, 2019
Accepted on: Jun 20, 2020
Published on: Jul 24, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Natalia Arias, Wolfgang Stotz, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.