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Ghost Gears in the Gulf of Gabès: Alarming Situation and Sustainable Solution Perspectives
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05 February 2024
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Abstract
This study investigates the prevalence, causes, and spatial distribution of Abandoned, Lost, or Discarded Fishing Gears (ALDFGs) in the Gulf of Gabès, a critical fishing area in Tunisia. Five main fishing gear types—benthic trawls, encircling nets, longlines, gillnets, and trammel nets were analyzed for their loss rates and contributing factors. The study involved extensive surveys among local fishermen using geographic information system (GIS) tools for spatial mapping. The findings reveal varying loss rates among different gear types, with longlines experiencing the highest losses (59%), followed by trammel nets (45%), gillnets (40%), trawls (38%), and encircling nets (36%). Causes of gear loss include entanglement on obstructions, conflicts with other fishing gears, entanglement with marine animals, adverse weather conditions, and intentional dumping at sea. The study highlights the challenges posed by the consistent increase in regional fishing efforts. Spatial distribution mapping indicates two significant concentrations of ALDFGs, correlating with specific fishing activities and depths. The study emphasizes the importance of addressing gear losses as a threat to marine biodiversity and ecosystem health. Recommendations for mitigation include improving boat equipment, raising awareness among fishermen, implementing effective waste management, and exploring economic incentives for ALDFG recovery. This research contributes essential insights for fisheries management, environmental conservation, and sustainable practices in the Gulf of Gabès. Collaborative efforts are crucial to developing and implementing strategies that minimize the impact of ALDFGs on the marine environment while supporting the socio-economic interests of fishermen.
Keywords:
Subject: Biology and Life Sciences - Aquatic Science
1. Introduction
The increasing number of fishing fleets around the world reinforces the risk of fishing gear which has become more and more resistant and difficult to degrade. Lost fishing gear consists primarily of gillnets, trawls, longlines, pots, traps, buoys and other types of gear used by the commercial and recreational fishing industries [1,2]. The quantity of plastic released to the world's oceans, is in the order of 5.32 to 19.3 million tons per year and will triple by 2025 [2]. Abandoned fishing gear is considered to be a source of plastic pollution (nylon, propylene...) which presents a major problem for marine biodiversity.
The first study on ghost nets were carried out in the 1970s by Smolowitz [3]. In 2009, the FAO declared the ghost net problem of real concern, as its impact and extent had increased dramatically over the past 50 years [4,5]. In fact, every year 640 tons of fishing gear are thrown away, abandoned or lost in the seas and oceans, thus contributing to the distribution of marine and land debris [6].
Ghost fishing gears remain active for a period ranging from a few days to a few years and continue to capture target and non-target marine species. This phenomenon known as ghost fishing is the heaviest impact of abandoned, lost or otherwise derelict fishing gears (ALDFGs) on marine biodiversity [7] and contributes to a high mortality rate [8,9,10,11]. Ghost nets can cause direct damage to marine biodiversity by capturing endangered species and indirectly by destroying their habitats or when they are degraded into microplastics and ingested by marine organisms. Additionally, Ghost fishing poses socio-economic challenges that can impact ocean and human health.
Several causes are the origin of fishing gear loss which can be either environmental such as storms, currents and sedimentation or anthropogenic following the intentional rejection of the gear, illegal fishing or vandalism [4,6,7,12].
In Tunisia, there is a notable absence of studies on ghost gears and their impact on biodiversity, to the best of our knowledge. The current study aims to address this gap, shedding light on the issue and serving as a crucial step toward understanding and quantifying its magnitude. This work aims to assess the extent of ghost gear by studying their distribution and nature, for conservation purposes. The study is carried out in the Gulf of Gabès, which represents the most important fishing area in Tunisia and a Mediterranean-wide biodiversity hotspot. In the Gulf of Gabès, the number of boats is very high, ranging from traditional coastal sailing boats to the most modern tuna boats and purse seiners. The study of the impacts of ALDFGs in the Gulf, based on interviews with fishermen and sea users, is made through a census of ghost gear and their main causes of loss and a mapping of their spatial distribution.
2. Materials and Methods
2.1. Characterization of the Study Area
The Gulf of Gabès (33°-35°N and 10°-12.5°E) is located in south-eastern Tunisia stretching from Chebba (Ras Kapoudia) to the Tunisian-Libyan border in the south. It encompasses a vast continental platform [13]. Covering a distance of about 1139 km, the Gulf of Gabès constitutes more than half of Tunisian coasts [14]. In addition to its coastline, the gulf is home to several islands and islets including Kerkennah, Kneiss, and Djerba as well as lagoons like Boughrara and Elbiben (Figure 1). The Gulf of Gabès is a semi-arid climate zone [15,16] and is characterized by a water circulation closely linked to the circulation of Atlantic waters across the Strait of Gibraltar (effects of high-pressure winds and effects of tides). The topography of the bottom of the gulf, as well as the dense vegetation cover, contribute to the complexity of the hydrodynamic nature of the region [17].
The Gulf of Gabès is a hotspot of biodiversity as the most extensive and continuous meadow of Neptune grass (Posidonia oceanica) is found in this area, making it the most important fishing area in Tunisia [18]. However, due to multiple anthropogenic pressures, they have declined drastically since the beginning of the XXth century [19]. The region experiences significant fishing pressure, with the third highest number of active fishing boats in the Mediterranean (FAO Geographical Sub-Area (GSA)), accounting for 8.4% of the total boats [18]. Approximately 52% of the Tunisian fishing fleet, which consists of around 13,000 boats, operates in this gulf and contributes 39.3% of the national fish production [20].
2.2. Method of Surveys and Data Analysis
To estimate the number of fishing gears in a fishing area, new researchers have developed a questionnaire-based approach. This is because using underwater observation to count all lost fishing gear involves significant costs and time [12,21,23]. To gather information regarding abandoned, lost, or otherwise derelict fishing gears (ALDFGs) in the Gulf of Gabès for the 2019-2020 fishing season, interviews were conducted among fishermen in 10 fishing ports. Accurately estimating the numbers within each fishing gear becomes challenging due to the diverse array employed by numerous fishing boats each year. Therefore, this study employed a cluster sampling method, where clusters represent various ports visited and samples are randomly selected fishermen.
As shown in Table 1, a total number of 540 face-to-face interviews were conducted in different ports of the fishing area. Over the course of three months from September 2020 to November 2020, data were collected, including189 trammel nets, 186 gillnets, 71 trawl nets, 38 encircling nets, and 56 longline cases.
The questionnaire includes items addressing the fishing fleet, fishing effort, and fishing gears, with specific attention on quantifying and identifying the causes of losses. Interviews fishermen provide GPS coordinates of ALDFGs in the studied area. In most fishing operations, gears losses may involve fractions or smaller components. During interviews, the number of lost nets was defined as the number of fractions of trammel nets, gillnets, trawl nets, and encircling nets, while the number of lost longlines was estimated ass the number of lost hooks.
The rate of ALDFG per year per fishing boat in the Gulf of Gabès, serving as the dependent variable, is determined based on independent variables gathered through interviews conducted with fishermen. The independent variables are selected according to the characteristics of the study area.
11 independent variables were used to estimate the occurrence and the number of discarded fishing nets from fishing with either trammel nets, gillnets, trawl nets, encircling nets, and longlines, including the number of gear used per fishing boat (1), the depth of fishing activity (in meters) (2), the tonnage of the fishing boat (in tons) (3), the length of the boat (in meters) (4), the average fishing months per year(5), the average number of fishing days per month(6), the annual number of pieces of nets or number of long line’s hooks used (7), the number of sets per 24h (8), the haul duration or soak time (in hour) (9), the annual frequency of replacement of the fishing gear(10) and the annual number of parts of fishing gears abandoned per fishing boat (11).
The analyses proceeded in two steps. Firstly, the mean of each variable was calculated by examining the frequencies according to the fishing types. Secondly, through a multiple regression analysis, this study constructed a regression equation to estimate the number of ALDFGs generated by a fishing boat annually. To ensure non collinearity among variables, a multi-collinearity test between the independent variables was conducted during the process.
The total number of ALDFGs in the Gulf of Gabès was calculated for fishing gear types for which the total number was provided by the General Directorate of Fisheries and Aquaculture in 2018 [20]. Consequently, the total number of ALDFGs in the Gulf of Gabès will therefore be calculated for the trawl benthic and encircling nets by multiplying the gear loss rates by the total number fleets using these gears in the Gulf of Gabès.
T = Y * N
T = the total number of ALDFGs in the Gulf of Gabès
Y = the rate of loss of the fishing boat
N = the total number of boats using this gear in the Gulf of Gabès.
The spatial distribution of lost fishing gears is achieved by projecting GPS coordinates onto a bathymetric map of the Gulf of Gabès using QGIS, a geographic information system software.
3. Results
3.1. Analysis of Features by Fishing Types
Fishing units used in the Gulf of Gabès exhibit significant variations based on fishing gear types and depth of fishing activities (Table 2). Trawling operations use boats with a total length ranging from 20 to 45m with a majority falling within the 20 to 25m range. The tonnage of trawlers varies between 50 and 350t predominantly clustering between 50 and 100t.
For encircling nets, the fishing units used are boats with a total length varying from 10 to 30m with a prevalent size range of 10 to 20m. Boat tonnage associated with this type of net fluctuates between 20 and 100t with a predominant range of 20 to 40t.
In coastal fishing, the utilized fishing units are boats with total lengths ranging from 4 to 22 m, predominantly measuring between 5 and 10m. Artisanal boats in this category exhibit tonnages ranging from 1 to 30 t with a majority falling within the 1 to 10t range.
According to our survey, several boats use different fishing gears in different zones during the year. The fishing sailor is not generally loyal to a specific type of fishing gear nor a specific fishing area. The distribution of fishing activity in the Gulf of Gabès is therefore not homogeneous. The concentration of fishing activities by type of gear in the most important fishing zones of the Gulf of Gabès (Chebba, Sfax, Gabès, Djerba, Zarzis) is illustrated in Figure 2.
In all of the fishing areas, boats using gillnets are the most numerous, followed by those using trammel nets, so a predominance of artisanal fishing. The area of Medenine (Djerba and Zarzis) is the most concentrated by boats using gillnets, while Sfax is the more concentrated in the boats using trammel nets. Trawlers, longliners, and boats using encircling nets, most often fish in the area of Sfax, Medenine (Djerba and Zarzis), and Chebba, while their fishing activities in Gabès region are very low.
3.2. Fishing Gears Loss Frequencies
Of the fishermen interviewed, 40% reported that they had lost their fishing gear. However, the loss of fishing gear in the Gulf of Gabès is not evenly distributed and shows different proportions. Longlines account for the highest proportion of losses (59%), followed by trammel nets (45%) and gill nets (40%). On the other hand, trawl losses are the lowest with 38% and encircling nets with 36%. The latter two, trawls and encircling nets, are more resistant in texture and fishers have better control over them than gillnets or trammel nets.
3.3. Estimation of the Number of ALDFGs in the Gulf of Gabès
The results of multiple linear regression analysis, conducted to establish a regression equation estimating the annual rates of ALDFGs in the Gulf of Gabès are presented in two tables. The first provides descriptive statistics for all variables both dependent and independent indicating the sample size and mean for each variable (Table 3). In this study, multicollinearity was checked for its possible presence between the independent variables before the multiple regressions were carried out. Generally, the maximum collinearity tolerance is 1 with a maximum Variance Inflation Factor (VIF) of 10. The universal standard for multicollinearity, however, has more stringent criteria with tolerance limits of less than 0.1 and a VIF greater than 10 [23]. The second table displays coefficients that define the multi-collinearity among the independent variables (Table 4). This is achieved through then VIF, along with the significance tests (P-values) for the coefficients. Furthermore, the table include the parameters of the regression equation such as the regression coefficients for each independent variable and the constant (B). For each fishing gear, an equation is derived, expressing the rate of ALDFG (dependent variable) in relation to the influencing independent variables.
Ten independent variables utilized in the multiple regression analysis to estimate the annual number of trawl net pieces lost per fishing boat.
The VIF are below 10 (table 4) indicating the absence of collinearity among them. Consequently, these variables are deemed independent of each other. In formulating the regression equation, we considered coefficients of regression for independent variables with a significance level of P <0.05 (table 4). The number of abandoned, lost, or discarded trawl nets is affected by 5 independent variables, including the depth of fishing activities (X1), the tonnage of the boats (X2), the number of sets per 24 h (X3), the number of trawl net parts abandoned per year (X4), and the frequency of nets replacement per year (X5).
Using these variables, the regression equation is expressed as follows:
b, c, d, e, and f: the regression coefficients of each independent variable.
Y (the total number of trawl nets loss) = a (constant) + (b × X1) + (c × X2) + (d × X3) + (e × X4) + (f × X5)
The loss rates of trawl net pieces were calculated using those means: the average depth of fishing activities (44.51 m), the average trawler tonnages (94.77 t), the average number of sets per 24 h (8.69), the average number of abandoned parts (1.56) and the average frequency of net replacement per year (3.13) (Table 3).
The annual number of discarded trawl net pieces (Y) can be estimated as follows:
Y = -4.390 + 0.032 × 44.51 + 0.018 × 94.7705 + 0.121 × 8.69 + 0.450 × 1.56 + 0.462 × 3.13 = 1.939 ≈ 2
This implies that approximately 2 pieces of benthic trawl net are lost in the study area per year by a trawler with an average tonnage of 94.77 operating in an average depth of 44.51 m and conducting an average of 8.69 sets per 24 hours.
The total number of active trawlers in the Gulf of Gabès is 263 [20]. Based on this information, the total number of abandoned, discarded, or lost trawl nets by the entire trawl fleet in the Gulf of Gabès can be estimated as:
T = Y × 263
T = 263 × 1.939 = 509.957
Rounding up, approximately 510 pieces of trawl nets are discarded annually in the Gulf of Gabès.
Multiple regression analysis of encircling nets presents a VIF strictly less than 10 (Table 4). These variables are therefore not collinear and independent of each other. Two independent variables with a P<0.05 are used to formulate the equation for estimating the rate of encircling nets abandoned, discarded, or lost annually, including the depth of fishing activities (X1) and the annual number of abandoned encircling net pieces (X2).
The regression equation is written as follows:
b and c : regression coefficients of each independent variable.
Y (the total number of lost encircling nets) = a (constant) + (b × X1) + (c × X2)
The average depth of fishing activities is 34.5 m and the average number of abandoned parts is 1.097 (Table 4). Using these means, the annual rate of discarded encircling net pieces (Y) can be estimated as follows:
Y = 2.584 + -0.039 × 34.5 + 0.909 × 1.097 = 2.23
About 2 pieces of encircling nets are lost annually and by a boat operating in an average depth of 34.5 m in the Gulf of Gabès.
The total number of active purse seiners in the Gulf of Gabès stands at 184 [20]. The total number of pieces of encircling nets abandoned, rejected, or lost by the whole encircling nets fleet in the Gulf of Gabès is determined by the following equation:
T = Y × 184
Y being the total number of abandoned, discarded, or lost encircling net pieces per year in the Gulf of Gabès
T = 184 × 2.23 = 410.32
Around 410 pieces of encircling nets are rejected each year in the Gulf of Gabès.
Regarding the coastal fishing gears, all variance inflation factors VIF are consistently less than ten (Tables 4). These eleven variables used to estimate the rate of abandoned, lost, or otherwise discarded gill-nets, trammel nets, and longline hooks, exhibit non-collinearity.
Three independent variables, each with a significant level of P <0.05 were used to produce the regression equation for the rate of abandoned, rejected, or lost trammel nets. These are the number of pieces of net used (X1), the soak time (X2), and the number of pieces of net left in the sea (X3).
Using these variables, the regression equation is written as follows:
Y (the total number of lost trammel nets) = a (constant) + (b × X1) + (c × X2) + (d × X3)
b, c and d being the regression coefficients of each independent variable.
The loss rates of pieces of trammel net were calculated using the following descriptive statistics: the average number of pieces of net used (74.71), the soak time (10.7147), and the average number of pieces of abandoned nets (12.2) (Table 5).
The annual number of rejected trammel nets (Y) can be estimated as follows:
Y = 7.181+ 0.140 × 74.71 + (-1.047) × 10.7147 + 1.399 × 12.20 = 23.48
About 23 pieces of trammel nets are lost in the Gulf of Gabès annually by a fishing boat using an average number of net pieces of 74.71 with an average soak time of 10.71 hours.
To derive the estimation equation for the rate of abandoned, discarded, or lost gill nets, five independent variables with a significance level of p<0.05 were incorporated. These variables comprise the number of net pieces abandoned per year (X1), the sets in 24 hours (X2), the replacement frequency of the gear per year (X3), the number of gillnet pieces used (X4), and the number of fishing days per month (X5).
The regression equation is written as follows:
Y (the total number of lost gill nets) = a (constant) + (b × X1) + (c × X2) + (d × X3) + (e × X4) + (f × X5)
b, c, d, e and f being the regression coefficients of each independent variable.
The loss rate of gill net pieces was calculated using the following values: The average number of pieces of net discarded per year (4.3), the average soak time in hours (3.026), the average frequency of gear replacement per year (1.3), the average number of gillnets pieces used (35.56), and the average number of fishing days per month (15.03) (Table 4).
The estimation of the annual number of discarded gillnets by fishing boat (Y) can be determined as follows:
Y = -21.934 + 0.596 × 4.3 + 0.475 × 3.026 + 4.567 × 1.3 + 0.292 × 35.56 + 0.707 × 15.03 = 9.013
About 9 pieces of gillnets are lost in the Gulf of Gabès annually by a fishing boat using about 35 pieces of nets, replacing its nets about 1.3 times per year and operating about 15 days per month, with an average soak time of 3.026h.
To estimate the rate of abandoned, rejected, or lost hooks, five independent variables with a significant level of P<0.05 were retained. These variables include the annual number of abandoned hooks (X1), the yearly frequency of gear replacement (X2), the number of hooks used (X3), the depth of fishing activities (X4), and the annual number of gears used per boat (X5).
The resulting regression equation is estimated as follows:
b, c, d, e and f being the regression coefficients of each independent variable.
Y (the total number of lost longline hooks) = a (constant) + (b × X1) + (c × X2) + (d × X3) + (e × X4) + (f × X5)
The longline hook loss rates were calculated using the following descriptive statistics: the average number of discarded hooks per boat (401.69), the average gear replacement frequency per year (1.61), the average number of hooks used (2076.79), the average depth of fishing activities (34.46 m), and the average number of gears used per year per boat (2.304) (Table 5).
The total number of discarded hooks (Y) can be estimated as follows:
Y = -2000.519 + 0. 941× 401.96 + 242.272 × 1.61 +0.219 × 2076.79 + 11.827 × 34.4643 + 268.385 × 2.304 = 248.568
About 249 hooks are lost annually in the Gulf of Gabès per boat with an average of 2.304 gears used annually and using around 2076.79 hooks at an average depth of 34.46 m.
3.4. Causes of Loss
Surveys conducted with fishermen provide insights into the causes of ALDFGs categorized by the type of fishing gear as outlined in the Table 5. The primary cause of loss for trawls is getting entangled with obstruction such as wrecks, rocky seabed and artificial reefs accounting for 82% of responses. Similarly for longline, the entanglement with obstruction is a significant cause representing 42% of responses.
Conflicts with other fishing gears emerge as the predominant cause of loss for gillnets (35% of responses) and trammel nets (34% of responses). In the case of encircling nets, the primary cause of gear loss is entanglement with marine animals constituting 49% of responses. This factor is also noteworthy for gillnets and trammel nets contributing for losses 30% and 29% respectively. Furthermore, according to 27% of respondents, unfavorable weather conditions are a significant factor in the loss of longline hooks.
3.5. Spatial Distribution of ALDFGs in the Gulf of Gabès
The surveys conducted with fishermen in various ports of the Gulf of Gabès have allowed us to gather the GPS positions of wrecks and abandoned fishing gears in the region. While this information may not be exhaustive, the spatial distribution mapping has provided us with insight into the extent of ALDFGs in the area. The map (Figure 3) reveals two significant concentration zones. The first is located at depths around 30 m south of Sfax and north of Djerba while the second deepest lying at depths between 40 and more than 100 m. of Gulf of Gabès coasts. Nevertheless, a more comprehensive and long-term study involving other types of gears is essential, particularly in the Kerkennah island coasts which appear to be heavily impacted by plastic traps posing a significant threat to the entire area [24].
4. Discussion
4.1. Fishing Gears Loss
Ghost fishing is a potentially serious threat because of the very large quantities of fishing gear used [12]. Our results on gear loss rates are consistent with those of the Global Ghost Gears Initiative [25] on the probability of loss of longlines, gillnets, encircling nets and trawls. According to a study carried out by [6], the loss percentage of gillnets in the European Union is less than 1%, whereas in the Gulf of Gabès, this type of gear can experience a loss percentage as high as 40%. The lower incidence of ALDFGs in European Union countries would be linked to the high recovery rates facilitated by well-equipped fishing boats using GPS technology [26].
Research conducted in Istanbul by [12] indicated that the loss rates of encircling net pieces per fishing boat per year is approximately 1.03 resulting in a total of 113 pieces lost annually. Our investigations in the Gulf of Gabès reveal higher estimates, with a loss rate of 2 pieces per boat per year and a total number of approximately 368 pieces lost annually.
Furthermore, a study conducted in South Korea by [23], reveals that the loss rates of gillnet pieces per boat per year is approximately 9.64. This agrees with our own results where we found a similar rate of around 9 gillnets lost per boat per year. The high loss rates of ALDFGs in the Gulf may stem from fishermen's negligence. Indeed, 18% of fishermen discard non-reusable nets into the sea and 45% of them abandon their damaged gear at sea. Furthermore, a significant number of boats lack GPS equipment, making it difficult to locate lost or damaged gear and making it almost impossible to recover.
According to our knowledge and surveys, inshore fishermen generally show a lack of loyalty to both fishing gear and fishing areas. They tend to move frequently between gears or fishing areas, making it difficult to estimate the total number of ALDFG. Addressing this issue requires broader spatio-temporal studies to comprehensively assess and resolve the problem. Such studies are crucial, as the issue poses a threat to the marine environment with its potential physical, chemical, and biological impacts.
4.2. Causes of Fishing Gear Loss
In the Gulf of Gabès, fishing activity has consistently risen over the years, primarily driven by, artisanal fishing, constituting approximately 94% of the total fleet [20]. The expansion of the fishing fleet could be an important factor in the increased loss of fishing gear, increasing the risk of conflict, a major factor in the ALDFG phenomenon. Other influencing factors include entanglement with obstructions, entanglement with marine animals and adverse weather conditions, all of which collectively contribute to this hazardous occurrence within the marine environment. According to the statements of the fishermen interviewed and especially those using trammel nets and gillnets, one of the main factors in the loss of fishing nets is entanglement with animals and particularly the blue crab (Portunus segnis). This phenomenon is consistent with the findings of [27] who identified it as an important factor contributing to the loss of fishing gear in the Gulf of Gabès.
4.3. Spatial Distribution of ALDFGs
The mapping of the ALDFG reveals two concentration areas within the Gulf. The first concentration is situated at depths of around 30 m, which corresponds to the average depth of fishing activity for longliners (34.26 m) and trammel nets, which were identified as the most frequently lost gear in this study. The second concentration zone of ALDFGs extends from depths of 40 to more than 100 m, corresponding to the depth of trawl fishing activities which also exhibits a notable percentage of loss (38%).
Distribution maps depicting wrecks and bottom obstructions containing ALDFG provide insights into the scope of the ghost gears phenomenon and could explain the fact that the major cause of all types of gear losses would be the attachment to obstructions. The areas in front of Chebba and Kerkennah as well as the eastern area of Djerba and Zarzis seem less affected. However, a more comprehensive study over time including other gears is necessary. This is particularly crucial for the Kerkennah region, which appears to be significantly impacted by plastic traps [24]. These traps represent a scourge and a proven danger for the whole region.
5. Conclusions
This study on Abandoned, Lost, or Discarded Fishing Gears (ALDFGs) in the Gulf of Gabès, the most important fishing area in Tunisia and a biodiversity hot spot in the Mediterranean, provides a comprehensive insight into an alarming environmental issue in the region. Key findings reveal concerning rates of fishing gear losses, with significant variations among different gear types. Trammel nets, gillnets, and longlines appear to be the most affected, inducing substantial risks to the marine ecosystem.
There are many different factors that contribute to these losses, such as unfavourable weather patterns, natural barriers, and confrontations between fishing gear. One important element raising the likelihood of gear loss is the area's steady growth in fishing effort. The results also underscore limited awareness among fishermen regarding the negative impact of ALDFGs on the ecosystem and biodiversity.
The spatial distribution of ALDFGs reveals significant concentrations, emphasizing specific areas where management and prevention efforts could be intensified. Additionally, the mapping of loss sites aligns with the presence of marine debris, highlighting the importance of waste management in fishing activities.
To mitigate these issues, measures such as enhancing boat equipment, increasing fishermen awareness, collecting and recycling lost gears, and providing economic incentives for ALDFG recovery could be considered. These actions aim to reduce the impact of ALDFGs on the marine ecosystem while supporting the livelihoods of local fishermen. A collaborative approach involving local stakeholders, fisheries management authorities, and environmental organizations is crucial to implementing sustainable solutions to this complex problem.
6. Patents
Supplementary Materials
Table S1: Descriptive analysis results for all fishing gear studied using SPSS software. A: Trawl net; B: Encircling net; C: Gill net; D: Trammel net; E: Longlines. Table S2: Multiple regression analysis results for all fishing gear studied using SPSS software. A: Trawl net; B: Encircling net; C: Gill net; D: Trammel net; E: Longlines.
Author Contributions
The authors confirm that the contributions to the paper are as follows: study conception and design, H.G.; W.B. and I.J.; data collection, H.G.; W.B. and I.J.; analysis and interpretation of results, H.G.; W.B. and I.J.; draft manuscript preparation, H.G.; W.B. and I.J. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Scientific Research Projects "LIFE MEDTURTLES" co-funded by the European Union and coordinated across Tunisia by the Faculty of Sciences of Sfax (FSS)..
Institutional Review Board Statement
Ethical review and approval were waived for this study due to the approval biological sciences commission of Sfax faculty of sciences.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Not applicable.
Acknowledgments
This work was supported by the Scientific Research Projects "LIFE MEDTURTLES" funded by the European Union and coordinated across Tunisia by the Faculty of Sciences of Sfax (FSS). The authors would like to thank all participating fishermen and investigators.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
References
- Richardson, K.; Asmutis-Silvia, R.; Drinkwin, J.; Gilardi, K.V.; Giskes, I.; Jones, G.; Barco, S. Building evidence around ghost gear: Global trends and analysis for sustainable solutions at scale. Mar. Pollut. Bull. 2019, 138, 222–229. [Google Scholar] [CrossRef] [PubMed]
- Suka, R.; Huntington, B.; Morioka, J.; O'Brien, K.; Acoba, T. Successful application of a novel technique to quantify negative impacts of derelict fishing nets on Northwestern Hawaiian Island reefs. Mar. Pollut. Bull. 2020, 157, 111–312. [Google Scholar] [CrossRef] [PubMed]
- Smolowitz, R.J.; Corps, L.N.; Center, N.F. Lobster, Homarus americanus, trap design and ghost fishing. Mar. Fish. 1978, 40, 2–8. [Google Scholar]
- Lively, J.A.; Good, T.P. Ghost Fishing. In World Seas: an Environmental Evaluation; Academic Press, 2019; pp. 183–196.
- Macfadyen, G.; Huntington, T.; Cappell, R. Abandoned, lost or otherwise discarded fishing gear. Food and Agriculture Organization of the United Nations FAO. 2009, No. 523.
- World Animal Protection. Ghosts Beneath The Waves. 2018, Accessed 1 March 2019. https://d31j74p4lpxrfp.cloudfront.net/sites/default/files/ca_en_files/ghosts_beneath_the_wavs_2018_ web_singles.pdf. 1 March.
- Stelfox, M.; Hudgins, J.; Sweet, M.A. Review of ghost gear entanglement amongst marine mammals, reptiles and elasmobranchs. Mar. Pollut. Bull. 2016, 111, 6–17. [Google Scholar] [CrossRef] [PubMed]
- Breen, P.A. Mortality of Dungeness crabs caused by lost traps in the Fraser River Estuary, British Columbia. North Am. J. Fish. Manag. 1987, 7, 429–435. [Google Scholar] [CrossRef]
- Kaiser, M.J.; Bullimore, B.; Newman, P.; Lock, K.; Gilbert, S. Catches in \'ghost fishing\'set nets. Mar. Ecol. Prog. Ser. 1996, 145, 11–16. [Google Scholar] [CrossRef]
- Erzini, K.; Monteiro, C.C.; Ribeiro, J.; Santos, M.N.; Gaspar, M.; Monteiro, P.; Borges, T.C. An experimental study of gill net and trammel net\'ghost fishing\'off the Algarve (southern Portugal). Mar. Ecol. Prog. Ser. 1997, 158, 257–265. [Google Scholar] [CrossRef]
- Cortés, J. Marine biodiversity baseline for Área de Conservación Guanacaste, Costa Rica: published records. ZooKeys. 2017, 652, 129–179. [Google Scholar] [CrossRef] [PubMed]
- Yıldız, T.; Karakulak, F.S. Types and extent of fishing gear losses and their causes in the artisanal fisheries of Istanbul, Turkey. J. Appl. Ichthyol. 2016, 32, 432–438. [Google Scholar] [CrossRef]
- Morzadec-Kerfourn, M. L'évolution des Sebkhas du golfe de Gabès (Tunisie) à la transition Pléistocène supérieur-Holocène. Quaternaire, 2002, 13, 111–123. [Google Scholar] [CrossRef]
- Coastal protection and development agency (APAL - Tunisia). New figures on the Tunisian coastline. [On line]. Available at: http://www.apal.nat.tn/site_web/indicateurs/nouveaux-chiffres%20_littorale-2015.pdf. 2015. (Accessed 4 June 2018).
- Amari, A. Contribution à la connaissance hydrologique et sédimentologique de la plateforme des Kerkennah. These de Doctorat, Fac. Sc. Tunis, Tunis, 1984.
- Climatique, A. Atlas climatique de l'Institut National de la météorologie. Conception et impression office de la topographie et de la cartographie, 1999.
- Béjaoui, B.; ben Ismail, S.; Othmani, A.; ben Abdallah-Ben Hadj Hamida, O.; Chevalier, C.; Feki-Sahnoun, W.; Harzallah, A.; ben Hadj Hamida, N.; Bouaziz, R.; Dahech, S.; et al. Synthesis review of the Gulf of Gabes (eastern Mediterranean Sea, Tunisia): Morphological, climatic, physical oceanographic, biogeochemical and fisheries features. Estuar. Coast. Shelf Sci. 2019, 219, 395–408. [Google Scholar] [CrossRef]
- FAO. The State of Mediterranean and Black Sea Fisheries. General Fisheries Commission for the Mediterranean. Rome, 2020. [CrossRef]
- Government of Tunisia. Sixth national report under the United Nations Convention on Biological Diversity. Submitted 14 March 2019. https://chm.cbd.int/database/record?documentID=243029 [accessed 12 October 2022].
- Anonyme, (2018). Annuaire des Statistiques des Pèches en Tunisie (Annee 2018). Direction Générale de la Pêche et de l'Aquaculture, Tunis.
- Santos, M.; Saldanha, H.; Gaspar, M. & Monteiro, C. Hake (Merluccius merluccius, L. 1758) ghost fishing by gill nets off the Algarve (southern Portugal). Fish. Res. 2003, 64, 119–128. [Google Scholar]
- Ayaz, A.; Acarli, D.; Altinagac, U.; Ozekinci, U.; Kara, A.; Ozen, O. Ghost fishing by monofilament and multifilament gillnets in Izmir Bay, Turkey. Fish. Res. 2006, 79, 267–271. [Google Scholar] [CrossRef]
- Kim, S.G.; Lee, W.I.; Yuseok, M. The estimation of derelict fishing gear in the coastal waters of South Korea: Trap and gill-net fisheries. Mar. Policy. 2014, 46, 119–122. [Google Scholar] [CrossRef]
- Chouchene, K.; Rocha-Santos, T.; Ksibi, M. Microplastic (MP) pollution in Sidi Youssef Harbor of the Kerkennah Islands, Sfax (Tunisia). In Environmental Science and Engineering; Springer International Publishing. 2021. [Google Scholar] [CrossRef]
- GGGI. Calao Africa - Sal Island Project. In: Global Ghost Gear Initiative [online]. 2018; [Cited 15 May 2021]. www.ghostgear.
- Brown, J.; Macfadyen, G.; Huntington, T.; Magnus, J.; Tumilty, J. Ghost fishing by lost fishing gear. Final Report to DG Fisheries and Maritime Affairs of the European Commission. Fish/2004/20. Institute for European Environmental Policy/Poseidon Aquatic Resource Management Ltd joint report, 2005; pp151.
- Khamassi, F.; Ghanem, R.; Khamassi, S.; Dhifallah, F.; Ben Souissi, J. Socio economic impacts of the Alien Invasive Crab Portunus segnis (Forskål, 1775) in the Gulf of Gabès (Tunisia). Rapp. De La Comm. Int. Pour L’exploration Sci. De La Méditerranée (CIESM) 2019, 42, 253. [Google Scholar]
Figure 1.
Map of the Tunisian ports where interviews were carried out (create with Maptool, SEATURTLE.ORG).
Figure 1.
Map of the Tunisian ports where interviews were carried out (create with Maptool, SEATURTLE.ORG).
Figure 2.
Fishing activities concentration zone in the Gulf of Gabès.
Figure 3.
ALDFGs distribution in the Gulf of Gabès.
Table 1.
Number of surveys carried out by fishing gear type and by site.
| Port | Trammel net | Gill-net | Encircling net | Trawl net | Longlines | Total |
|---|---|---|---|---|---|---|
| Chebba | 44 | 48 | 23 | 32 | 16 | 163 |
| Ellouza | 5 | 11 | 0 | 0 | 1 | 17 |
| Mahres | 3 | 5 | 4 | 0 | 0 | 12 |
| Skhira | 5 | 5 | 2 | 0 | 0 | 12 |
| Sfax | 51 | 49 | 2 | 37 | 20 | 159 |
| Kerkennah | 24 | 20 | 0 | 0 | 1 | 45 |
| Gabès | 9 | 6 | 4 | 0 | 0 | 19 |
| Zarzis | 24 | 18 | 3 | 2 | 14 | 61 |
| Ajim | 6 | 5 | 0 | 0 | 0 | 11 |
| Houmet Essouk | 18 | 19 | 0 | 0 | 4 | 41 |
| Total | 189 | 186 | 38 | 71 | 56 | 540 |
Table 2.
Type and sizes of fishing boats.
| Fishing Gear Types | Tonnage of Fishing Boats (t) | Length of Fishing Boats (m) |
|---|---|---|
| Trawl nets | 50-100 (69.57%) 101-151 (27.57%) 152-202 (1.45%) 202-355 (1.45%) |
20-25 (84.51%) 25-30 (12.68%) 30-35 (1.41%) 35-40 (1.41%) |
| Encircling nets | 20-40 (68.57%) 40-60 (14.29%) 60-80 (11.34%) 80-100 (5.71%) |
10-15 (18.92%) 15-20 (40.54%) 20-25 (35.14%) 25-30 (5.41%) |
| Coastal fishing gears | 1-10 (69.59%) 10-20 (27.04%) 20-30 (4.37%) |
4-10 (58.67%) 10-16 (37.77%) 16-22 (3.56%) |
Table 3.
Results of descriptive analysis features of fishing gears studied in the Gulf of Gabès.
| Variables | Trawl nets | Encircling net | Gill-nets | Trammel nets | Longlines | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | N | Mean | N | Mean | N | Mean | N | Mean | N | |
| 1 | - | - | - | - | 1.77 | 186 | 1.69 | 189 | 2.30 | 56 |
| 2 | 44.51 | 71 | 34.48 | 38 | 16.29 | 186 | 25.35 | 189 | 34.46 | 56 |
| 3 | 94.7705 | 71 | 28.51 | 38 | 10.15 | 186 | 10.50 | 189 | 12.70 | 56 |
| 4 | 23.9674 | 71 | 17.82 | 38 | 9.47 | 186 | 9.27 | 189 | 10.95 | 56 |
| 5 | 9.08 | 71 | 10.97 | 38 | 9.22 | 186 | 9.76 | 189 | 8.80 | 56 |
| 6 | 17.23 | 71 | 17.90 | 38 | 15.03 | 186 | 16.21 | 189 | 12.80 | 56 |
| 7 | - | - | 1097 | 38 | 35.56 | 186 | 74.71 | 189 | 2076.79 | 56 |
| 8 | 8.69 | 71 | 2.74 | 38 | 3.16 | 186 | 1.28 | 189 | 1.38 | 56 |
| 9 | 1.6516 | 71 | 1.54 | 38 | 3.03 | 186 | 10.71 | 189 | 8.82 | 56 |
| 10 | 3.13 | 71 | 1.23 | 38 | 1.30 | 186 | 1.92 | 189 | 1.61 | 56 |
| 11 | 1.56 | 71 | 1.097 | 38 | 4.30 | 186 | 12.20 | 189 | 401.96 | 56 |
N: number of boats, (1): the number of gear used per fishing boat, (2): the depth of fishing activity (in meters), (3): the tonnage of the fishing boat (in tons), (4): the length of the boat (in meters), (5): the average fishery months per year, (6): the average number of fishing days per month, (7): the annual number of pieces of nets or number of long line’s hooks used, (8): the number of sets per 24h, (9): Soak time (in hour), (10): the annual frequency of replacement of the fishing gear and (11): the annual number of parts of fishing gears abandoned per fishing boat.
Table 4.
Results of multiple regression analysis of features fishing gears studied in the Gulf of Gabès.
Table 4.
Results of multiple regression analysis of features fishing gears studied in the Gulf of Gabès.
| Constant | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Trawl nets VIF |
- | - | 1.068 | 9.86 | 10 | 1.208 | 1.26 | - | 1.703 | 1.251 | 2.327 | 2.900 |
| Coefficient(B) | -4.390 | - | 0.032 | 0.018 | 0.168 | 0.084 | -0.01 | - | 0.121 | 0.324 | 0.462 | 0.45 |
| P-value | 0.021* | - | 0.003* | 0.022* | 0.108 | 0.329 | 0.701 | - | 0.038* | 0.139 | 0.000* | 0.000* |
|
Encircling net VIF |
- | - | 1.729 | 2.121 | 1.771 | 1.755 | 1.453 | 9.63 | 1.188 | 1.511 | 1.238 | 1.981 |
| Coefficient(B) | 2,584 | - | -0.039 | 0.001 | -0.024 | -0.062 | -0.053 | -0.553 | -0.116 | 0.301 | 0.016 | 0.909 |
| P-value | 0.237 | - | 0.042* | 0.962 | 0.639 | 0.597 | 0.186 | 0.784 | 0.396 | 0.346 | 0.945 | 0.000* |
|
Gill-nets VIF |
- | 1.248 | 1.374 | 2.019 | 2329 | 1.084 | 1,279 | 9.89 | 1.339 | 1.217 | 1.137 | 2.441 |
| Coefficient(B) | -21.934 | 0.223 | -0.043 | -0.059 | 0.313 | 0.329 | 0,707 | 0.292 | 0.418 | 0.475 | 4.567 | 0.596 |
| P-value | 0.000* | 0.775 | 0.457 | 0.243 | 0.126 | 0.078 | 0.000* | 0.014* | 0.207 | 0.005* | 0.000* | 0.000* |
|
Trammel nets VIF |
- | 1.671 | 2.868 | 2.013 | 2.944 | 1.151 | 1.163 | 4.554 | 1.779 | 1.429 | 1.478 | 3.052 |
| Coefficient(B) | 7.181 | -2.899 | 0.115 | 0.045 | -0.07 | -0.013 | 0.421 | 0.14 | -3.127 | -1.047 | 2.269 | 1.399 |
| P-value | 0.469 | 0.159 | 0.541 | 0.661 | 0.905 | 0.976 | 0.127 | 0.004* | 0.061 | 0.001* | 0.125 | 0.000* |
|
Longlines VIF |
- | 1.590 | 1.293 | 3.893 | 3.068 | 1.442 | 1.28 | 3.178 | 2.016 | 2.494 | 1.493 | 2.736 |
| Coefficient(B) | -2000.519. | 268.385 | 11.827 | 12.650 | -34.043 | -12.971 | 14.26 | 0.219 | 173.692 | 70.302 | 242.272 | 0.941 |
| P-value | 0.036* | 0.014* | 0.035* | 0.271 | 0.35 | 0.672 | 0.455 | 0.029* | 0.321 | 0.126 | 0.025* | 0.000* |
N: number of boats, (1): the number of gear used per fishing boat, (2): the depth of fishing activity (in meters), (3): the tonnage of the fishing boat (in tons), (4): the length of the boat (in meters), (5): the average fishery months per year, (6): the average number of fishing days per month, (7): the annual number of pieces of nets or number of long line’s hooks used, (8): the number of sets per 24h, (9): Soak time (in hour), (10): the annual frequency of replacement of the fishing gear and (11): the annual number of parts of fishing gears abandoned per fishing boat. * Indicates a P-value < 0.05.
Table 5.
Causes of fishing gear loss.
| Causes | Trawl net | Encircling net | Gill-net | Trammel-net | Longline |
|---|---|---|---|---|---|
| Bottom structure | 82% | 17% | 23% | 25% | 38% |
| Gear conflicts | 10% | 20% | 35% | 34% | 22% |
| Entaglement with animals | 6% | 49% | 30% | 29% | 13% |
| Weather conditions | 2% | 14% | 12% | 12% | 27% |
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