Technical ReportPDF Available

Dasyatis chrysonota. The IUCN Red List of Threatened Species 2020

Authors:

Abstract

Red list assessment of Dasyatis chrysonata
The IUCN Red List of Threatened Species™
ISSN 2307-8235 (online)
IUCN 2020: T161643A124520303
Scope(s): Global
Language: English
Dasyatis chrysonota, Blue Stingray
Assessment by: Pollom, R., Bennett, R., Da Silva, C., Ebert, D.A., Gledhill, K.,
Leslie, R., McCord, M.E. & Winker, H.
View on www.iucnredlist.org
Citation: Pollom, R., Bennett, R., Da Silva, C., Ebert, D.A., Gledhill, K., Leslie, R., McCord, M.E. &
Winker, H. 2020. Dasyatis chrysonota. The IUCN Red List of Threatened Species 2020:
e.T161643A124520303. https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
Copyright: © 2020 International Union for Conservation of Nature and Natural Resources
Reproduction of this publication for educational or other non-commercial purposes is authorized without prior written
permission from the copyright holder provided the source is fully acknowledged.
Reproduction of this publication for resale, reposting or other commercial purposes is prohibited without prior written
permission from the copyright holder. For further details see Terms of Use.
The IUCN Red List of Threatened Species™ is produced and managed by the IUCN Global Species Programme, the IUCN
Species Survival Commission (SSC) and The IUCN Red List Partnership. The IUCN Red List Partners are: Arizona State
University; BirdLife International; Botanic Gardens Conservation International; Conservation International; NatureServe;
Royal Botanic Gardens, Kew; Sapienza University of Rome; Texas A&M University; and Zoological Society of London.
If you see any errors or have any questions or suggestions on what is shown in this document, please provide us with
feedback so that we can correct or extend the information provided.
THE IUCN RED LIST OF THREATENED SPECIES™
Taxonomy
Kingdom Phylum Class Order Family
Animalia Chordata Chondrichthyes Myliobatiformes Dasyatidae
Scientific Name:ÊÊDasyatis chrysonota (Smith, 1828)
Synonym(s):
Trygon chrysonata Smith, 1828
Common Name(s):
• English: Blue Stingray
Taxonomic Source(s):
Fricke, R., Eschmeyer, W.N. and Van der Laan, R. (eds). 2020. Eschmeyer's Catalog of Fishes: genera,
species, references. Updated 02 March 2020. Available at:
http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp.
Taxonomic Notes:
This species has been previously confused with the Marbled Stingray Dasyatis marmorata and the
Common Stingray D. pastinaca, neither of which overlap with the range of the Blue Stingray (Last et al.
2016).
Assessment Information
Red List Category & Criteria: Near Threatened A2bd ver 3.1
Year Published: 2020
Date Assessed: August 1, 2019
Justification:
The Blue Stingray (Dasyatis chrysonota) is a medium-sized (to 75 cm disc width) benthic stingray
endemic to southern Africa in the Southeast Atlantic and Western Indian Oceans from central Angola to
St. Lucia, South Africa. It occurs in shallow inshore waters in summer and moves to deeper waters on
the continental shelf in winter to a depth of 110 m. It has a moderate age-at-maturity of 7 years and
small litters of 1–7 pups. The species is captured by trawl, commercial and recreational line, beach
seine, and gill net fisheries. It is not utilized and although previously persecuted by recreational fishers,
it is now discarded alive by recreational and artisanal fishers, with variable mortality from trawling
likely ranging from 17–70%. Trend analysis of research trawl data in South African commercially fished
areas estimated a population reduction of 62% over the past three generation lengths (31.5 years), with
the highest probability of a 50–79% reduction over the past three generation lengths. Overall, due to an
estimated population reduction over some of its range likely driven by steep declines preceding a
substantial reduction in fishing effort in South Africa, combined with a suspected range shift away from
the trawl grounds due to climate change that likely accounts for some of the estimated reduction,
minimal fishing pressure and refuge elsewhere (with a stable trend in shore-angling nominal catches), it
is suspected that the Blue Stingray has undergone a population reduction of 20–29% over the past
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
1
three generation lengths (31.5 years) due to levels of exploitation, and it is assessed as Near Threatened
(nearly meeting Vulnerable A2bd).
For further information about this species, see Supplementary Material.
Previously Published Red List Assessments
2009 – Least Concern (LC)
https://dx.doi.org/10.2305/IUCN.UK.2009-2.RLTS.T161643A5471417.en
Geographic Range
Range Description:
The Blue Stingray is a southern African endemic occurring from central Angola to St. Lucia, South Africa
in the Southeast Atlantic and Western Indian Oceans (Cowley 1997, Last et al. 2016).
Country Occurrence:
Native, Extant (resident): Angola; Namibia; South Africa
FAO Marine Fishing Areas:
Native: Indian Ocean - western
Native: Atlantic - southeast
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
2
Distribution Map
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
3
Population
There are no estimates of population size for the Blue Stingray. Population trend data of annual density
estimates (kg per nm² area swept) were available from demersal research trawl surveys conducted over
26 years (1991–2016) in commercially fished areas of South Africa during autumn and spring along the
south coast by the Fisheries Branch of the South African Department of Agriculture, Forestry and
Fisheries (DAFF, unpubl. data, 2018). The trend data were analyzed over three generation lengths (31.5
years) using a Bayesian state-space framework (Winker and Sherley 2019). This analysis yields an annual
rate of change, a median change over three generation lengths, and the probability of the most likely
IUCN Red List category percent change over three generations (see the Supplementary Information).
The trend analysis revealed an annual rate of reduction of 3.3% over the trawl grounds, consistent
with an estimated reduction of 62.4% over the past three generation lengths (31.5 years), with the
highest probability (51.4%) of a 50–79% reduction over the past three generation lengths. The
estimated reduction is driven partly by a steep decline in catch rates during the early 1990s when
fishing pressure in South Africa was substantially higher; over the last two decades the population
reduction has been less dramatic. Some reduction is likely a result of a northeast range shift in
abundance away from the trawl grounds from 1941 to 2016 due to climate change (Supplementary
Information Figure 2; Currie et al. 2019). This geographic range shift is also supported by observed
increased abundance of the Blue Stingray on the South African east coast; research trawls found this
species was absent from the east coast during the 1920s–1930s and then it became fairly common and
increased in abundance from the 1980s onwards (S. Fennessy, Oceanographic Research Institute,
unpubl. data 2018). Further to the above trend data, monitoring of retained catches in KwaZulu-Natal
recreational shore-angling from 1977 to 2012 indicated nominal catches of the Blue Stingray were stable
over that period (S. Fennessy, Oceanographic Research Institute, unpubl. data 2018). Some catch data
are from angling competitions that target aggregations (S. Fennessy, Oceanographic Research Institute,
unpubl. data, 2018) and without concurrent effort data there is some uncertainty whether the nominal
catch stability represents an actual stable population.
Overall, due to an estimated population reduction over some of its range, likely driven by steep declines
preceding a substantial reduction in fishing effort in South Africa combined with a suspected range shift
away from the trawl grounds due to climate change that likely accounts for some of the estimated
reduction, minimal fishing pressure elsewhere (with a stable trend in shore-angling nominal catches), it
is suspected that the Blue Stingray has undergone a population reduction of 20–29% over the past three
generation lengths (31.5 years) due to levels of exploitation.
For further information about this species, see Supplementary Material.
Current Population Trend:ÊÊDecreasing
Habitat and Ecology (see Appendix for additional information)
The Blue Stingray is benthic in inshore shallow bays, estuaries, and sheltered sandy beaches in summer,
and moves offshore to mid-continental shelf waters in winter to a depth of 110 m (Cowley 1990, Bianchi
et al. 1999, Last et al. 2016). It reaches a maximum size of 75 cm disc width (DW); males mature at ~41
cm DW and females mature at 50 cm DW (Last et al. 2016). Reproduction is lecithotrophic viviparous
with litter sizes of 1–7 pups, a gestation period of ~9 months, and size-at-birth of 17 cm DW (Cowley
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
4
1990, Ebert and Cowley 2009). Female age-at-maturity is 7 years and maximum age is 14 years;
generation length is therefore 10.5 years (Cowley 1997).
Systems:ÊÊMarine
Use and Trade (see Appendix for additional information)
The Blue Stingray has not been recorded in trade, and is not known to be utilized.
Threats (see Appendix for additional information)
The Blue Stingray is captured by trawl, commercial and recreational line, beach seine, and gill net
fisheries (da Silva et al. 2015). The trawl fisheries in South Africa have decreased in effort over the last
decade, particularly the trawl fishery off KwaZulu-Natal (S. Fennessy unpubl. data 2018). All fisheries
combined in South Africa have landed less than 1 t annually of Blue Stingray from 2010–2012 (da Silva et
al. 2015). Effort in South African shore line fisheries has decreased as a result of a 2002 South African
ban on all-terrain vehicles on beaches. Parts of Namibia are remote and offer refuge from fishing
pressure (Belhabib et al. 2015). Since 2002, artisanal and recreational fishing pressure in a few parts of
southern Angola has increased while other areas remain unfished (Beckensteiner et al. 2016). The Blue
Stingray is not utilized and although 30 years ago it was persecuted by recreational fishers likely causing
high post-release mortality (D. Ebert unpubl. data 2019), it is now discarded alive by recreational and
artisanal fishers, with mortality from trawling likely variable; at-vessel-mortality for trawled congeneric
stingrays ranges from 17–70% (Ellis et al. 2017). Refuge for this species could be provided by extensive
areas of the Agulhas Bank, South Africa that are untrawlable, and several inshore bays and marine
protected areas along the South African coast that are closed to trawling.
The Blue Stingray has tended to move northeast within South Africa over three decades from
1981–2016, from the wide shelf area of Agulhus Bank to the narrower shelf area to the east (Currie et
al. 2019). This shift is concurrent with a reduction in the probability of encounter in the DAFF research
trawl surveys (Supplementary Information Figure 2). The range shift and reduction in likelihood of
encounter are likely at least partially related to climate change (Rouault et al. 2010, Blamey et al. 2015).
The range shift may represent a loss of habitat to this species.
Conservation Actions (see Appendix for additional information)
There are no species-specific protections or conservation measures in place. It occurs in several
protected areas, including in South Africa: the West Coast National Park, the de Hoop Marine Protected
Area (MPA), iSimangaliso MPA, and the uThukela MPA. Further research is needed on population size
and trend, and life history, and catch rates should be monitored.
Credits
Assessor(s): Pollom, R., Bennett, R., Da Silva, C., Ebert, D.A., Gledhill, K., Leslie, R.,
McCord, M.E. & Winker, H.
Reviewer(s): Dulvy, N.K., Crysler, Z. & Kyne, P.M.
Contributor(s): Fennessy, S., Herman, K., Smale, M.J. & Rigby, C.L.
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
5
Facilitator(s) and
Compiler(s):
Kyne, P.M., Pollom, R. & Dulvy, N.K.
Authority/Authorities: IUCN SSC Shark Specialist Group (sharks and rays)
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
6
Bibliography
Beckensteiner, J., Kaplan, D.M., Potts, W.M., Santos, C.V. and O’Farrell, M.R. 2016. Data-limited
population-status evaluation of two coastal fishes in southern Angola using recreational catch length-
frequency data. PLOS ONE 11(2): e0147834.
Belhabib, D., Willemse, N.E. and Pauly, D. 2015. A fishery tale: Namibian fisheries between 1950 and
2010. Working Paper Series. Working Paper #2015-65. Fisheries Centre, University of British Colombia.
Bianchi, G., Carpenter, K.E., Roux, J.-P., Molloy, F.J., Boyer, D. and Boyer, H.J. 1999. Field guide to the
living marine resources of Namibia. FAO, Rome, Italy.
Blamey, L.K., Shannon, L.J., Bolton, J.J., Crawford, R.J., Dufois, F., Evers-King, H., Griffiths, C.L., Hutchings,
L., Jarre, A., Rouault, M. and Watermeyer, K.E. 2015. Ecosystem change in the southern Benguela and
the underlying processes. Journal of Marine Systems 144: 9-29.
Cowley, P.D. 1990. The taxonomy and life history of the blue stingray Dasyatis marmorata capensis
(Batoidea: Dasyatidae) from southern Africa. Unpublished M.Sc. Thesis. Rhodes University.
Cowley, P.D. 1997. Age and growth of the blue stingray Dasyatis chrysonota chrysonota from the South-
Eastern Cape coast of South Africa. South African Journal of Marine Science 18(1): 31–38.
Currie, J.C., Thorson, J.T., Sink, K.J., Atkinson, L.J., Fairweather, T.P. and Winker, H. 2019. A novel
approach to assess distribution trends from fisheries survey data. Fisheries Research 214: 98–109.
da Silva, C., Booth, A.J., Dudley, S.F.J., Kerwath, S.E., Lamberth, S.J., Leslie, R.W., McCord, M.E., Sauer,
W.H.H. and Zweig, T. 2015. The current status and management of South Africa's chondrichthyan
fisheries. African Journal of Marine Science 37(2): 233-248.
Ebert, D.A. and Cowley, P.D. 2009. Reproduction and embryonic development of the blue stingray,
Dasyatis chrysonota, in southern African waters. Journal of the Marine Biological Association of the
United Kingdom 89(4): 809–815.
Ellis, J.R., McCully Philips, S.R. and Poisson, F. 2017. A review of capture and postrelease mortality of
elasmobranchs. Journal of Fish Biology 90(3): 653–722.
IUCN. 2020. The IUCN Red List of Threatened Species. Version 2020-2. Available at: www.iucnredlist.org.
(Accessed: 13 June 2020).
Last, P., White, W., de Carvalho, M., Séret, B., Stehmann, M. and Naylor, G. 2016. Rays of the World.
CSIRO Publishing, Clayton.
Rouault, M., Pohl, B. and Penven, P. 2010. Coastal oceanic climate change and variability from 1982 to
2009 around South Africa. African Journal of Marine Science 32: 237–246.
Winker, H, Pacoureau, N. and Sherley, R.B. 2020. JARA: 'Just Another Red List Assessment'. BioRiv
Preprint: http://dx.doi.org/10.1101/672899.
Citation
Pollom, R., Bennett, R., Da Silva, C., Ebert, D.A., Gledhill, K., Leslie, R., McCord, M.E. & Winker, H. 2020.
Dasyatis chrysonota. The IUCN Red List of Threatened Species 2020: e.T161643A124520303.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
7
Disclaimer
To make use of this information, please check the Terms of Use.
External Resources
For Supplementary Material, and for Images and External Links to Additional Information, please see the
Red List website.
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
8
Appendix
Habitats
(http://www.iucnredlist.org/technical-documents/classification-schemes)
Habitat Season Suitability Major
Importance?
9. Marine Neritic -> 9.4. Marine Neritic - Subtidal Sandy Resident Suitable Yes
9. Marine Neritic -> 9.5. Marine Neritic - Subtidal Sandy-Mud Resident Suitable Yes
9. Marine Neritic -> 9.6. Marine Neritic - Subtidal Muddy Resident Suitable Yes
9. Marine Neritic -> 9.10. Marine Neritic - Estuaries Resident Suitable Yes
Threats
(http://www.iucnredlist.org/technical-documents/classification-schemes)
Threat Timing Scope Severity Impact Score
5. Biological resource use -> 5.4. Fishing & harvesting
aquatic resources -> 5.4.3. Unintentional effects:
(subsistence/small scale) [harvest]
Ongoing Majority (50-
90%)
No decline Low impact: 5
Stresses: 2. Species Stresses -> 2.1. Species mortality
5. Biological resource use -> 5.4. Fishing & harvesting
aquatic resources -> 5.4.4. Unintentional effects:
(large scale) [harvest]
Ongoing Majority (50-
90%)
Slow, significant
declines
Medium
impact: 6
Stresses: 2. Species Stresses -> 2.1. Species mortality
Conservation Actions in Place
(http://www.iucnredlist.org/technical-documents/classification-schemes)
Conservation Action in Place
In-place research and monitoring
Action Recovery Plan: No
Systematic monitoring scheme: No
In-place land/water protection
Conservation sites identified: No
Area based regional management plan: No
Occurs in at least one protected area: Yes
Invasive species control or prevention: Not Applicable
In-place species management
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
9
Conservation Action in Place
Harvest management plan: No
Successfully reintroduced or introduced benignly: No
Subject to ex-situ conservation: No
In-place education
Subject to recent education and awareness programmes: No
Included in international legislation: No
Subject to any international management / trade controls: No
Conservation Actions Needed
(http://www.iucnredlist.org/technical-documents/classification-schemes)
Conservation Action Needed
1. Land/water protection -> 1.1. Site/area protection
3. Species management -> 3.1. Species management -> 3.1.1. Harvest management
3. Species management -> 3.1. Species management -> 3.1.2. Trade management
Research Needed
(http://www.iucnredlist.org/technical-documents/classification-schemes)
Research Needed
1. Research -> 1.2. Population size, distribution & trends
1. Research -> 1.3. Life history & ecology
1. Research -> 1.4. Harvest, use & livelihoods
3. Monitoring -> 3.1. Population trends
3. Monitoring -> 3.2. Harvest level trends
Additional Data Fields
Distribution
Lower depth limit (m): 110
Upper depth limit (m): 0
Habitats and Ecology
Generation Length (years): 10.5
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
10
The IUCN Red List of Threatened Species™
ISSN 2307-8235 (online)
IUCN 2020: T161643A124520303
Scope(s): Global
Language: English
The IUCN Red List Partnership
The IUCN Red List of Threatened Species™ is produced and managed by the IUCN Global Species
Programme, the IUCN Species Survival Commission (SSC) and The IUCN Red List Partnership.
The IUCN Red List Partners are: Arizona State University; BirdLife International; Botanic Gardens
Conservation International; Conservation International; NatureServe; Royal Botanic Gardens, Kew;
Sapienza University of Rome; Texas A&M University; and Zoological Society of London.
THE IUCN RED LIST OF THREATENED SPECIES™
© The IUCN Red List of Threatened Species: Dasyatis chrysonota – published in 2020.
https://dx.doi.org/10.2305/IUCN.UK.2020-2.RLTS.T161643A124520303.en
11
... Diamond and bull rays likely play important ecological roles in the Breede Estuary seasonally, where they may impact prey populations and assist in the turn-over of sediment through their bioturbative feeding behaviour, but they also likely play important roles in connecting the marine and estuarine environments (Flowers et al. 2016). Even though the diamond ray is categorised as least concern (Pollom et al. 2020), the bull ray is listed as critically endangered (Jabado et al. 2021), and so it is important that an integrated approach to understanding the links between ecological, biotic and abiotic processes, as well as anthropogenic activities, is taken to improve management and conservation of these species. This study also provides insight into the potential significance of estuaries for rays, an area that warrants further research with expanded effort into other systems and additional species. ...
Article
Many ray species are threatened with extinction, and so understanding their movement and habitat use is vital for developing effective management and conservation efforts. Globally, rays are known to rely on estuarine habitats, but estuary use by rays has not yet been investigated in South Africa. Thirty-three diamond rays Gymnura natalensis and 25 bull rays Aetomylaeus bovinus, both species anecdotally recorded to occur in estuaries, were acoustically tagged. Individuals were tracked using a nation-wide network of receivers in South Africa, the Acoustic Tracking Array Platform (ATAP), that has acoustic receivers in both marine and estuarine environments. Only six rays (4 diamond and 2 bull rays) were recorded using estuaries, but they displayed seasonal philopatry, returning to specific estuaries during spring to autumn months (September to May) for up to 6 consecutive years. Due to a number of rays entering the Breede Estuary, the fine-scale habitat use in this ecosystem was investigated. Marine-estuarine connectivity was significantly influenced by marine temperatures. Additionally, presence in the upper parts of the Breede Estuary (up to 17 km from the mouth) was influenced by temperature, tides and time of day. Findings suggest estuaries are an important, and previously overlooked, habitat type for a portion of the diamond and bull ray populations on the south coast of South Africa, which has management and conservation implications.
Article
Full-text available
The blue stingray Dasyatis chrysonota is an important and endemic coastal inhabitant of southern African coastal waters however, it is listed as Near Threatened with declining populations. Understanding it’s spatial ecology in the context of current Marine Protected Areas (MPAs) is vital to not only inform population dynamics and ecological roles, but to determine whether currently zoned MPAs can provide sufficient protection to this species. Twenty-seven individuals were monitored using the Acoustic Tracking Array Platform (ATAP—a nation-wide collaborative network of acoustic receivers) for up to 4.5 years. Individuals displayed site affinity to defined regions of the coast, with the majority of detections for most individuals being recorded in the shallow bay/coastal shelf they were tagged in. However, important movement corridors linking different habitats were also identified (inshore vs offshore and coastal bay vs coastal shelf habitats). This habitat use varied monthly and was influenced by temperature, with individuals displaying restricted movements to the shallow bay habitat in summer when deeper waters were much colder. The large collaborative nature of the ATAP allowed for the monitoring of a benthic ray across large spatial scales for the first time, challenging preconceived notions that small undulatory batoids cannot travel large distances (many individuals were found to travel up to 200 km). Insights can also assist in local management of this species, and highlight that current MPA zonation may not be sufficient to protect blue stingrays from further population declines.
Preprint
Full-text available
Identifying species at risk of extinction is necessary to prioritise conservation efforts. The International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species is the global standard for quantifying extinction risk, with many species categorised on the basis of a reduction in population size. We introduce the Bayesian state-space framework ‘JARA’ (Just Another Red-List Assessment). Designed as decision-support tool, JARA allows both process error and uncertainty to be incorporated into IUCN Red List assessments under criterion A. JARA outputs easy to interpret graphics showing the posterior probability of the population decline displayed against the IUCN Red List categories, and assigns each category an associated probability given process and observation uncertainty. JARA is designed to be easy to use, rapid and widely applicable, so conservation practitioners can apply it to their own count or relative abundance data. We illustrate JARA using three real-world examples: (1) relative abundance indices for two elasmobranchs, Yellowspotted Skate Leucoraja wallacei and Whitespot Smoothhound Mustelus palumbes; (2) a comparison of standardized abundance indices for Atlantic Blue Marlin Makaira nigricans and (3) absolute abundance data for Cape Gannets Morus capensis. Finally, using a simulation experiment, we demonstrate how JARA provides greater accuracy than two approaches commonly used to assigning a Red List Status under criterion A. Tools like JARA can help further standardise Red List evaluations, increasing objectivity and lowering the risk of misclassification. The consequences for global conservation efforts could be substantial.
Article
Full-text available
Chondrichthyans (sharks, skates, rays and chimaeras) are captured in many marine fisheries. Management and research efforts directed at chondrichthyan fishing are often neglected because of low product value, taxonomic uncertainty, low capture rates, and harvesting by multiple fisheries. In South Africa's diverse fishery sectors, which include artisanal as well as highly industrialised fisheries, 99 (49%) of 204 chondrichthyan species that occur in southern Africa are targeted regularly or taken as bycatch. Total reported dressed catch for 2010, 2011 and 2012 was estimated to be 3 375 t, 3 241 t and 2 527 t, respectively. Two‑thirds of the reported catch was bycatch. Regulations aimed at limiting chondrichthyan catches, coupled with species‑specific permit conditions, currently exist in the following fisheries: demersal shark longline, pelagic longline, recreational line, and beach‑seine and gillnet. Limited management measures are currently in place for chondrichthyans captured in other South African fisheries. Catch and effort dataseries suitable for stock assessments exist for fewer than 10 species. Stock assessments have been attempted for five shark species: soupfin Galeorhinus galeus, smoothhound Mustelus mustelus, white Carcharodon carcharias, spotted ragged‑tooth Carcharias taurus, and spotted gully Triakis megalopterus. Fishery‑independent surveys and fishery observer data, which can be used as a measure of relative abundance, exist for 67 species. Compared with most developing countries, South African shark fishing is relatively well controlled and managed. As elsewhere, incidental capture and bycatch remain challenges to the appropriate management of shark species. In 2013, South Africa's National Plan of Action for the Conservation and Management of Sharks (NPOA‑Sharks) was published. Implementation of the NPOA‑Sharks should help to improve chondrichthyan management in the near future.
Article
Full-text available
Excessive truncation of a population’s size structure is often identified as an important deleterious effect of exploitation, yet the effect of this truncation on population persistence is seldom quantified. In this study, we estimate changes in eggs per recruit (EPR) using annual length-frequency samples over a 9 year period to assess persistence of the two most important recreational fishes in southern Angola: west coast dusky kob (Argyrosomus coronus) and leerfish (Lichia amia). Using a length- and age-structured model, we improve on an existing method to fit this type of model to length-frequency data and estimate EPR. The objectives of the methodological changes are to add considerable flexibility and robustness to the approach for assessing population status in data-limited situations. Results indicate that dusky kob presents very low levels of EPR (5%-10% of virgin reproductive output) in 2013, whereas large inter-annual variability in leerfish estimates suggest caution must be applied when drawing conclusions about its exploitation status. Using simulated length frequency data with known parameter values, we demonstrate that recruitment decline due to overexploitation leads to overestimation of EPR values. Considering the low levels of EPR estimated for the study species, recruitment limitation is not impossible and true EPR values may be even lower than our estimates. It is, therefore, likely that management action, such as the creation of Marine Protected Areas, is needed to reconstitute the west coast dusky kob population.
Article
Full-text available
Overfishing and human-induced climate change are putting severe pressure on marine ecosystems. In the southern Benguela, most of South Africa's commercial fisheries have a long history of exploitation and this, coupled with spatio-temporal changes in key species over the last three decades has severely impacted some of South Africa's fisheries and ecosystems. This review summarizes these spatio-temporal changes and investigates possible drivers thereof. It incorporates both past and current research, with a large portion of the latter having formed part of the University of Cape Town's Ma-Re BASICS (Marine Research in the Benguela and Agulhas Systems for supporting Interdisciplinary Climate-change Science) 2010–2013 program. Almost all described changes involve a temporal decline or a spatial shift in species. Fishing seems to have played a role in many of the observed stock declines, for example through geographically disproportionate catches in relation to stock distribution. In some cases, changes in the physical environment seem to have played an additional role, e.g., rock lobsters on the west coast have been affected by fishing as well as changes in the physical environment. In almost all cases these changes have taken place since the 1980s/1990s, except for one or two resources, which have experienced declines since at least the mid 20th century. Spatial shifts in species have either involved an eastward expansion of cool-water species, including kelps, rock lobster and pelagic fish, or a retraction of warm-water species such as the brown mussel, suggesting a cooling of inshore waters along the south-west coast since the 1980s. This suggested cooling is revealed in ocean temperature (SST Pathfinder), wind and upwelling data for the Cape Peninsula and south-west coast region during the same period. The absence or inconsistency of long-term data is problematic when trying to identify drivers of ecosystem change, and actual ecosystem change itself. We discuss this using ocean temperature in the southern Benguela as an example. In addition, the complex interplay between climate and anthropogenic (notably fishing) drivers makes identification of drivers difficult and disentangling these combined effects will require interdisciplinary collaboration, co-ordinated ecosystem projects, increased modelling effort and the continuation, but also establishment, of new, long-term monitoring studies.
Article
Full-text available
Dasyatis chrysonota is perhaps the most common of the 14 whiptail stingray (Chondrichthyes: Dasyatidae) species known to frequent the temperate coastal waters of southern Africa and like other stingrays they possess life history characteristics that make them vulnerable to over-exploitation. First and 50% maturity (Dw50) were determined for 153 males and 204 females from the Eastern Cape Province of South Africa. Disc width (Dw) for first and Dw50 maturity was estimated at 392 mm and 395 mm Dw, respectively for males and at 500 mm and 505 mm Dw, respectively for females. The reproductive cycle of males, based on gonadosomatic (GSI) and hepatosomoatic (HSI) indices indicates that they are most active during the spring. Females appear to have an annual reproductive cycle with a maximum HSI occurring during the summer and autumn, but it declines steadily through the birthing season reaching a low in the late spring. Fecundity, following a nine month gestation period, averages 2.8 with a range of 1–7. Embryos at six different development stages are described. Dasyatis chrysonota, like other dasyatids, exhibit life history characteristics that make them vulnerable to overexploitation, therefore a precautionary management strategy is advised for this species.
Article
Full-text available
We analyze changes and fluctuations in sea surface temperature at the monthly scale around the South African coastline from 1982 to 2009.. There is a statistically significant negative trend of up to 0.55°C per decade in the Southern Benguela from January to August. Cooling trend of lesser magnitude is observed at the South Coast from May to August. This is due to an increase in upwelling favorable southeasterly and easterly wind. Positive trend in sea surface temperature of up to 0.55°C per decade occurred in most part of the Agulhas Current system at all months of the year except for KwaZuluNatal. El Nino Southern Oscillation is significantly positively correlated at the 95 % level with Southern Benguela and South Coast from February to May and negatively correlated with the Agulhas Current system South of 36°S. El Nino suppresses upwelling along the coast while La Nina increases it. Although, there does not seem to be a linear relationship between strength of ENSO and magnitude of coastal SST perturbation, El Nino and La Nina appear to be linked with major warm and cool events at the seasonal scale in late summer in the Southern Benguela and the South Coast. A word of caution is given on low resolution reanalyzed climate data (ERA40 and NCEP) and optimally interpolated Reynolds sea surface temperature used here.
Article
Climate change and fishery impacts modify the spatial distribution of marine species. Understanding and predicting changes in distribution is important for adaptation by fishers and the management of fishery resources and biodiversity. However, identifying such trends is challenging given the variability inherent in trawl survey data. We apply a novel two-step approach to identify fish distribution trends from trawl surveys. First, species-specific average locations (mean latitude and longitude centre of gravity) and extent (effective area occupied) were estimated within a spatio-temporal delta modelling framework. The resulting time series and associated variance estimates were then passed to a multivariate Bayesian state-space model to estimate average trends over the study period. We applied this two-stage approach to three decades (1986-2016) of demersal trawl research survey data from the Agulhas Bank of South Africa to quantify distributional changes in 44 commonly caught fishes (chon-drichthyans and teleosts). Across the entire assemblage, average trends showed a westward (alongshore) shift in location and a reduction in the extent of populations. At the species level, six taxa showed a location trend towards the west or southwest , and three shifted towards the east or northeast. The area occupied by species showed two taxa that had a decreasing trend in spatial extent and one species that was expanding. The mean westward and contracting trends of the assemblage were interpreted as likely signals of climate forcing, whereas the eastward shift of three species may be linked to fishing impacts. A lack of knowledge of subsurface oceanographic changes in the region challenges interpretation of the distribution changes and is identified as a research priority. We recommend additional research regarding causal drivers of distribution shifts, specifically to attribute observed changes to climate, fishing, and inter-annual environmental variability. https://authors.elsevier.com/c/1Ybf5biU1lEm~ link expires 11 April
Article
There is a need to better understand the survivorship of discarded fishes, both for commercial stocks and species of conservation concern. Within European waters, the landing obligations that are currently being phased in as part of the European Union's reformed common fisheries policy means that an increasing number of fish stocks, with certain exceptions, should not be discarded unless it can be demonstrated that there is a high probability of survival. This study reviews the various approaches that have been used to examine the discard survival of elasmobranchs, both in terms of at-vessel mortality (AVM) and post-release mortality (PRM), with relevant findings summarized for both the main types of fishing gear used and by taxonomic group. Discard survival varies with a range of biological attributes (species, size, sex and mode of gill ventilation) as well as the range of factors associated with capture (e.g. gear type, soak time, catch mass and composition, handling practices and the degree of exposure to air and any associated change in ambient temperature). In general, demersal species with buccal-pump ventilation have a higher survival than obligate ram ventilators. Several studies have indicated that females may have a higher survival than males. Certain taxa (including hammerhead sharks Sphyrna spp. and thresher sharks Alopias spp.) may be particularly prone to higher rates of mortality when caught.
Article
The age and growth of blue stingray Dasyatis chrysonota chrysonota from the south-east coast of South Africa was investigated by examination of bands on the vertebral centra. The annual nature of band deposition was verified by centrum edge characteristics and supported by growth of known-age individuals kept in captivity. The derived Von Bertalanffy parameters from age and length data were L∞ = 532 mm (disc width, DW), K = 0.175 and t0 = −3.65 for males and L∞ = 913 mm DW, K = 0.070 and t0 = −4.48 for females. Growth of three captive specimens showed distinct seasonal differences, with a mean growth rate of 7.3 mm·month−1 during summer and 3.8 mm·month−1 during winter. The mean rate of growth in captivity for the first year after birth (66.7 mm·year−1) is similar to the value obtained from back-calculations (64.6 mm·year−1), but higher than the calculated value of 45.1 mm·year−1. The estimated age at first maturity is five years for males and seven years for females.