Edited by: Wen-Cheng Wang, National Taiwan Normal University, Taiwan
Reviewed by: Maria Grazia Pennino, Spanish Institute of Oceanography, Spain; Athanassios C. Tsikliras, Aristotle University of Thessaloniki, Greece
This article was submitted to Marine Conservation and Sustainability, a section of the journal Frontiers in Marine Science
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The recent establishment of the “landing obligation” under the reformed EU Common Fishery Policy has the twofold objective of reducing the excessive practice of discarding unwanted catch at sea and encouraging more selective and sustainable fisheries. Within this context, the awareness of the spatial distribution of potential unwanted catches is important for devising management measures aimed to decrease discards. This study analyzed the distribution of Hot Spot density areas of demersal fish and crustaceans below the Minimum Conservation Reference Size (MCRS) in four different southern European seas: continental Portuguese coast, Catalan Sea, South of Sicily, Liguria and northern Tyrrhenian Seas using both bottom trawl survey data and information on the spatial distribution of commercial fisheries. Critical areas for discarding were identified as zones where the highest densities of individuals below MCRS were consistently recorded throughout a series of years. Results clearly showed a patchy distribution of undersized individuals in each investigated area, highlighting the overlap between high density patches of both discards and fishing effort. The present findings provide a relevant knowledge for supporting the application of spatial-based management actions, such as the designation of Fisheries Restricted Areas (FRAs), in order to minimize the by-catch of undersized specimens and improve the sustainability of demersal fisheries.
香京julia种子在线播放
Unwanted Catches (UCs) are common and critical problems in fisheries worldwide, as they can alter marine biodiversity and at the same time could worsen overexploitation of commercial species (
Under the current trawl net selectivity patterns used in southern European fisheries, undersized individuals of some important commercial species, such as European hake (
Even the Marine Spatial Planning (MSP) must take into account the reduction of discarding and its spatial dynamics, i.e., where and when the natural stocks and fleets interact (
The aim of this paper is to identify critical areas for the production of UCs (and therefore, implicitly and intuitively, for the occurrence of discards) in four important fishing areas of the southern European waters, including both Mediterranean Sea and Atlantic Ocean off the Portuguese coast. These areas are detected by matching hotspots of high densities of individuals below MCRS, with high levels of trawling effort. The output of this study could provide a base for supporting the application of spatial based fishery management in order to minimize UCs and definitively improve the sustainability of demersal fisheries.
The study was conducted in four different areas (
Location of the study areas: Area 1 – Catalan Sea, Area 2 – Strait of Sicily, Area 3 – Ligurian and northern Tyrrhenian Seas, Area 4 – Portuguese area. Dots = hauls locations; Black line = 200 m depth.
Two different data sources were used to gather information on the spatial distribution of specimens below MCRS within each zone: the International Bottom Trawl Surveys (IBTS) for the Portuguese waters, and the Mediterranean International Bottom Trawl Survey (MEDITS) for the Spanish and Italian areas, respectively. The data used in the areas 2, 3, and 4 were provided directly by the partners of the present work, as they are part of the institutes in charge of data collection under the European Data Collection Framework (National Research Council – CNR, Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata G. Bacci – CIBM, and the Centro de Ciências do Mar – CCMAR), while the data used in the area 1 was requested to the European commission, as these data were collected by the Instituto Español de Oceanografía (IEO). The IBTS time series spanned between 2002 and 2011 (661 hauls). MEDITS time series spanned between 2009 and 2014 for the Catalan Sea (202 hauls) and the Ligurian and northern Tyrrhenian Seas (720 hauls). In the South of Sicily, the time series was 2009–2013 (600 hauls).
The Portuguese IBTS (PT-IBTS) is carried out yearly in Portuguese continental waters at the beginning of the 4th quarter (October) between depths of 20–500 m. The main objective of this survey is to estimate recruitment indices of European hake and horse mackerel. It uses a standardized trawl net (Norwegian Campell Trawl 1800/96 NCT) with a mean vertical opening of 4.6 m, mean horizontal opening of 15 m, and 20 mm stretched mesh size in the cod-end. Tow duration is 30 min at a mean speed of 3.5 knots (
The selection of the species to be analyzed was based on their contribution, in terms of abundance, to the total amount of waste potentially produced. In each study area European hake,
Investigated species in each study area with the relative minimum conservation reference size (MCRS) value and the proportion of annually positive hauls (Area 1 – Catalan Sea, Area 2 – Strait of Sicily, Area 3 – Ligurian and northern Tyrrhenian Seas, and Area 4 – Continental Portuguese area).
20 cm | 0.78 | 0.73 | 0.67 | 0.81 | 0.79 | 0.74 | 1 | |
15 cm | 0.47 | 0.77 | 0.43 | 0.41 | 0.59 | 0.64 | 1 | |
20 cm | 0.60 | 0.61 | 0.58 | 0.68 | 0.65 | – | 2 | |
15 cm | 0.42 | 0.38 | 0.38 | 0.35 | 0.47 | – | 2 | |
20 mm | 0.46 | 0.43 | 0.49 | 0.53 | 0.49 | – | 2 | |
20 cm | 0.75 | 0.68 | 0.63 | 0.73 | 0.73 | 0.59 | 3 | |
15 cm | 0.49 | 0.38 | 0.38 | 0.42 | 0.48 | 0.35 | 3 | |
20 mm | 0.43 | 0.48 | 0.46 | 0.45 | 0.43 | 0.48 | 3 | |
20 cm | 0.79 | 0.49 | 0.65 | 0.89 | 0.85 | 0.84 | 4 | |
15 cm | 0.47 | 0.42 | 0.09 | 0.44 | 0.24 | 0.07 | 4 | |
15 cm | 0.37 | 0.22 | 0.22 | 0.38 | 0.39 | 0.25 | 4 |
The first step in our analytical framework was the identification of the portion of undersized catch (USC) in the population. For this purpose, a cut-off size equal to the MCRS was used for all species (
For each species and year, the spatial distribution of undersized specimens’ was analyzed using geostatistical methods (variogram analysis and kriging) whose fundamentals can be found in the works by
Density Hot Spot were identified on the annual maps of distribution using the Hot Spot Analysis tool in ArcMap. This tool identifies statistically significant spatial clusters of high values (Hot Spot) and low values (Cold Spot) applying the local Getis-Ord Gi∗ statistic (
A persistent zone of occurrence of undersized organisms was defined as an area consistently occupied by the highest density of individuals below MCRS throughout the years. Hence, this zone was identified by means of GIS tools, extracting the area where the overlap of annual Hot Spot occurred over time. The overlap rate for each grid cell, defined as index of persistence (PI) (
where δ_ij = 1 when grid cell i is included in a Hot Spot in year j and δ_ij = 0 otherwise;
A persistent interspecific overlap zone of undersized organisms was defined as an area consistently occupied by the highest values (greater or equal to 0.8) of persistence index of all species together. Interspecific Persistence Index (IPI) was computed as:
where
The amount of fishing effort yearly deployed by the trawlers operating in each area was estimated, for the years 2012–2016, using all the available data collected by means of Automatic Identification System (AIS) and Vessel Monitoring System (VMS), the two main tracking devises applied nowadays in fisheries science. This implies that only the portions of each fleet equipped by one (or both) these tracking devices were considered in this study. While AIS data are not characterized by confidentiality issues and the identity of the fishing vessels is always associated to each AIS ping as MMSI (Maritime Mobile Service Identity) and Maritime Call sign codes, VMS data are confidential, and the access to the dataset for each area/case study was allowed by the researchers previously identified as the reference person in charge to assist the University of Rome Tor Vergata (UTV), through a one-to-one communication, during the processing of AIS/VMS data and the validation of the outcomes (
Representation of the processing for the integration of AIS and encrypted VMS data. The process involved UTV and the Case Studies Reference researchers through a one-to-one data flow.
AIS and VMS data were merged, at the scale of single vessels, using the procedure detailed in
A persistent zone of occurrence of fishing effort Hot Spot was defined as an area consistently occupied by the highest value of fishing effort throughout the years. Hence, this zone was identified by means of GIS tools, extracting the area where the overlap of annual fishing effort Hot Spot occurred over time. The overlap rate for each grid cell, defined as the Index of Effort Persistence (EPI) (
where δ_ij = 1 when grid cell
The average percentage of positive hauls in trawl surveys carried out between 2009 and 2014 was 78% and 62% for European hake and horse mackerel, respectively (
Area 1 – Catalan Sea.
European hake showed a more heterogeneous distribution of undersized individuals Hot Spots than horse mackerel (
IPI index was greater than 0.8 overlap only in the area off Tarragona, with a surface of 84.1 km2 (
In the Strait of Sicily the average percentage of positive hauls of European hake, horse mackerel and deep-water rose shrimp was 62, 40, and 40%, respectively (
Area 2 – Strait of Sicily.
Small individuals of horse mackerel aggregated in a wide area (2,261 km2) over the eastern side of the Adventure Bank between 100 and 200 m depth. The core area of aggregation of juveniles (characterized by a with PI = 1) covered a surface of 741.2 km2 (
As for the other species, the highest PI values of the Hot Spots of deep-water rose shrimp juveniles were found in the eastern sector of Adventure Bank on the upper part of the continental slope between 150 and 250 m depth (367.5 km2). PI values higher than 0.8 were, however, found all along the south Sicilian coasts, mostly between 100 and 250 m, covering a surface of 1977.4 km2 (
Interspecific co-occurrence of highly persistent Hot Spot (IPI > 0.8) covered a wide area of 519.68 Km2 along the eastern deep shelf (100–200 m) of the Adventure Bank (
As the Ligurian and northern Tyrrhenian Seas concerns, the average percentage of positive hauls was 68% for undersized European hake, 42% for horse mackerel and 45% for deep-water rose shrimp. Persistence analysis of European hake highlighted the presence of four main zones with an index of 1, three north of Elba Island and one to the south, all located in the deeper part of the continental shelf and covering a total surface of 630.0 km2. The zone with a PI greater than 0.8 was 1,859 km2 (
Area 3 – Ligurian and northern Tyrrhenian Seas.
Horse mackerel showed the highest persistence index (PI > 0.8) close to the north side of Elba Island (951.5 km2) between 100 and 200 m depth. The surface featured by a PI equal to 1 was 393 km2 (
Small-sized specimens of deep-water rose shrimp aggregated in several patches mostly along the deep shelf of the central-north Tyrrhenian Sea. Areas with PI > 0.8 widespread over 930 km2 (
The area where the undersized organisms of the three species co-occur persistently (IPI > 0.8) covered 1453.3 km2, decreasing to 81.2 km2 of areas with IPI = 1 (
The analysis of potential discard areas along the continental Portuguese coast was based on 71, 30, and 23% of positive hauls for European hake, blue whiting and horse mackerel, respectively (
Area 4 – Portuguese area.
Blue whiting aggregated in small patches along the north Portuguese coast, from Lisbon to Viana do Castelo, covering an area of 1933.5 km2 (
Horse mackerel was the less abundant species showing the most persistent area in front of the Douro estuary (Porto) with an extension of 1513.0 km2, less than 100 m depth (
Differently from the other geographical regions, we did not find IPI values greater than 0.8 for the three species considered. The main overlapping was found between European hake and blue whiting in an area of 456.1 km2 off Lisbon (
Zones with high persistence of fishing effort (EPI ≥ 0.8). Depth contours shown are 100 and 200 m.
Spatial extension of persistence index (PI) expressed as Km2 (Surface), and their overlap with persistence areas of fishing effort expressed as Km2 (Overlap).
1 | 0.8–0.9 | 475.5 | 31.75 | 6.68 | |
1 | 85.9 | 0 | 0 | ||
0.8–0.9 | 891.1 | 216.8 | 24.33 | ||
1 | 219.7 | 10.2 | 4.64 | ||
2 | 0.8–0.9 | 1575 | 301.57 | 19.15 | |
1 | 293.1 | 19.82 | 6.76 | ||
0.8–0.9 | 2261.7 | 565.82 | 25.02 | ||
1 | 741.2 | 512.79 | 69.18 | ||
0.8–0.9 | 1977.4 | 266.96 | 13.50 | ||
1 | 367.5 | 0 | 0 | ||
3 | 0.8–0.9 | 1859.1 | 90.79 | 4.88 | |
1 | 630 | 20.32 | 3.23 | ||
0.8–0.9 | 951.5 | 150.48 | 15.82 | ||
1 | 393.1 | 0 | 0 | ||
0.8 - 0.9 | 930 | 440.82 | 47.40 | ||
1 | 190.61 | 190.61 | 100 | ||
4 | 0.8–0.9 | 3489 | 329.59 | 9.45 | |
1 | 0 | 0 | 0 | ||
0.8–0.9 | 1513 | 0 | 0 | ||
1 | 0 | 0 | 0 | ||
0.8–0.9 | 1933.5 | 0 | 0 | ||
1 | 0 | 0 | 0 |
The present study provides a large scale assessment of the distribution and temporal persistence of areas with high density of individuals below MCRS of important commercial demersal species, based on a time series of bottom trawl surveys data. The study shows also the overlap of hot spots of undersized individuals with the areas that are persistently used by commercial trawlers. The most important result of the analysis is the first evaluation of the importance of different areas in the Mediterranean Sea and the Atlantic waters off the Continental Portuguese coast as potential source of discards for species subjected to the landing obligation in bottom trawling, due to MCRS in the Mediterranean or TAC for the Atlantic area. These results provide a relevant knowledge-base for the development of a spatial planning approach to fisheries management in order to mitigate negative effects of discarding.
Although our data comes from scientific surveys conducted in a given period of the year, previous studies have shown that the aggregation areas of juveniles of the species included in the study remain substantially unchanged in the different periods of the year (
We found a quite high stability of the density hot spots of undersized juveniles as already observed for the nursery areas of these species in the North Mediterranean Sea (
The main persistence areas of small-sized horse mackerel were found in shallower waters (∼100 m) than those of the other two species. As observed in previous studies the deep shelf habitats seem play a key role for the recruitment of horse mackerel (
According to
Our results show the presence of four important areas, one in each case study, where individuals of important commercial species below the MCRS permanently coexist. These areas are located in front of Tarragona (Catalan Sea), in the eastern part of Adventure bank (Strait of Sicily), around Elba Island (Ligurian and northern Tyrrhenian Seas) and off Lisbon (Continental Portuguese coast), mainly between 100 and 200 m depth. The eastern part of Adventure Bank is an important area where nurseries of several commercial species are located (
In the Catalan Sea, important stable aggregations of undersized specimens were found in our study south of Tarragona and off the Ebro delta. These areas are coincident with the main nurseries of hake reported by
The largest IPI area was found in the Tyrrhenian seas. “The circulation in the Tyrrhenian Sea is organized in a series of cyclonic (anti-clockwise) and anticyclonic (clockwise) gyres determined by the wind” (
The west coast of Portugal is an important persistent nursery area of the species studied in this work, mainly in the northern and central part of the coast, near the outflow of major rivers. Three factors influence overall productivity in this area: this coast is characterized by an upwelling phenomenon during the summer months providing nutrients (
The safeguard of the areas with a high presence of young organisms is a priority for the management of Southern European fisheries resources because juvenile fish are very vulnerable to a fine-mesh trawl fishery (
Moreover, one common reason for failure of the closure areas strategy management is the shift of fishing effort from the closure into the neighboring area still open to fishing (
In conclusion, the strength of our results is to make available for the existing (e.g., WestMed Multi Annual Plan of the European Union) and future management plans the spatial distribution of areas where the probability to catch organisms under the legal minimum size is significantly high. In the current scenario of the new CFP, the creation of management measures to make trawl fisheries more selective is mandatory, with knowledge about the key areas where high density of individuals under MRCS are usually present critical. In this way, instead of applying strict measures covering the whole fishing grounds, an adaptive spatial management based on temporal or permanent area closure can be enforced to reduce the catch of undersized specimens and protect the habitats that are important for recruitment processes. Therefore, considering that uncertainty pervades fishery management, mainly in a multispecies fishery where it seems unfeasible to optimize the yield for all stocks at the same time, specific actions like the Hot Spots conservation of individuals below MCRS could represent an action toward sustainable fisheries.
The datasets presented in this article are not readily available because some of the original raw data are protected by confidentiality. Requests to access the datasets should be directed to GM,
GM created the original outline for the manuscript. GM, GG, TR, and LD’A conducted the data analysis. FF, FC, FM, AL, CM, LB, JG, KE, and SV provided input into drafting the manuscript. All authors participated in the editing and final preparation of the manuscript.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We thank Dr. M. Bosch-Belmar for her comments and suggestions which greatly improved the manuscript.
The Supplementary Material for this article can be found online at: