Interactions Between Cetacean and Fisheries in the Southern Ocean
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MARINE FISHERIES Fishing in the Ice: Is It Sustainable?
NIWA Water & Atmosphere 11(3) 2003 MARINE FISHERIES Fishing in the ice: is it sustainable? Stuart Hanchet In recent years an exploratory fishery for The Ross Sea fishery is the southernmost fishery Antarctic toothfish has developed in in the world, and ice conditions and extreme Peter Horn the Ross Sea and in the Southern Ocean to cold make fishing both difficult and dangerous. Michael Stevenson the north. Fisheries in Antarctic waters are During most of the year the Ross Sea is covered managed by CCAMLR (Commission for by ice. However, during January and February the Conservation of Antarctic Marine Living areas of open water (called polynas) form, Resources). CCAMLR takes a precautionary which enable access to the continental shelf and approach to fisheries management and also slope. Longline vessels from New Zealand, has a strong mandate from its members to take South Africa and Russia start working in the A better into account ecosystem effects of fishing. In deep south at this time, but as sea ice forms knowledge of the conjunction with the Ministry of Fisheries they move north and by May are restricted to biology and habits (MFish) and New Zealand fishing companies, the northernmost fishing grounds. Antarctic NIWA has been involved in developing research toothfish has formed over 95% of the fishery’s of the Antarctic programmes to help ensure that the fishery is catch, which has steadily increased from about toothfish is needed both sustainable and has minimal impact on the 40 t in 1998 to over 1800 t in 2003. surrounding ecosystem. to manage a NIWA’s research related to the toothfish in the Ross Sea has concentrated on catch sampling sustainable fishery methods, genetics, age and growth, Antarctic toothfish get for this species in very big. -
Good Whale Hunting Robert L
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Publications, Agencies and Staff of the .SU . U.S. Department of Commerce Department of Commerce 2003 Good Whale Hunting Robert L. Pitman National Marine Fisheries Service Follow this and additional works at: http://digitalcommons.unl.edu/usdeptcommercepub Pitman, Robert L., "Good Whale Hunting" (2003). Publications, Agencies and Staff of ht e U.S. Department of Commerce. 509. http://digitalcommons.unl.edu/usdeptcommercepub/509 This Article is brought to you for free and open access by the U.S. Department of Commerce at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Publications, Agencies and Staff of the .SU . Department of Commerce by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. NATURALIST AT LARGE Good Whale Hunting Two tantalizing Russian reports take the author on a quest to the Antarctic, in search of two previously unrecognized kinds of killer whale. By Robert L. Pitman hey always remind me of witch’s hats—a little bit of THalloween in the winter wonderland. Looking across a flat plain of frozen Antarctic sea ice, I watch as a herd of killer whales swims along a lead—a long, narrow crack in the six- foot-thick ice. The fins of the males are black isosceles triangles, five feet tall, and they look like a band of trick- or-treaters coming our way. I am on board the U.S. Coast Guard icebreaker Polar Star as it back-and-rams the frozen ocean to open up a fourteen- mile-long channel into McMurdo Sta- tion, fifty feet at a whack. -
Seasonal and Annual Changes in Antarctic Fur Seal (Arctocephalus Gazella) Diet in the Area of Admiralty Bay, King George Island, South Shetland Islands
vol. 27, no. 2, pp. 171–184, 2006 Seasonal and annual changes in Antarctic fur seal (Arctocephalus gazella) diet in the area of Admiralty Bay, King George Island, South Shetland Islands Piotr CIAPUTA1 and Jacek SICIŃSKI2 1 Zakład Biologii Antarktyki, Polska Akademia Nauk, Ustrzycka 10, 02−141 Warszawa, Poland <[email protected]> 2 Zakład Biologii Polarnej i Oceanobiologii, Uniwersytet Łódzki, Banacha 12/16, 90−237 Łódź, Poland <[email protected]> Abstract: This study describes the seasonal and annual changes in the diet of non−breeding male Antarctic fur seals (Arctocephalus gazella) through the analysis of faeces collected on shore during four summer seasons (1993/94–1996/97) in the area of Admiralty Bay (King George Island, South Shetlands). Krill was the most frequent prey, found in 88.3% of the 473 samples. Fish was present in 84.7% of the samples, cephalopods and penguins in 12.5% each. Of the 3832 isolated otoliths, 3737 were identified as belonging to 17 fish species. The most numerous species were: Gymnoscopelus nicholsi, Electrona antarctica, Chionodraco rastro− spinosus, Pleuragramma antarcticum,andNotolepis coatsi. In January, almost exclusively, were taken pelagic Myctophidae constituting up to 90% of the total consumed fish biomass. However, in February and March, the number of bentho−pelagic Channichthyidae and Noto− theniidae as well as pelagic Paralepididae increased significantly, up to 45% of the biomass. In April the biomass of Myctophidae increased again. The frequency of squid and penguin oc− currence was similar and low, but considering the greater individual body mass of penguins, their role as a food item may be much greater. -
Fall Feeding Aggregations of Fin Whales Off Elephant Island (Antarctica)
SC/64/SH9 Fall feeding aggregations of fin whales off Elephant Island (Antarctica) BURKHARDT, ELKE* AND LANFREDI, CATERINA ** * Alfred Wegener Institute for Polar and Marine research, Am Alten Hafen 26, 256678 Bremerhaven, Germany ** Politecnico di Milano, University of Technology, DIIAR Environmental Engineering Division Pza Leonardo da Vinci 32, 20133 Milano, Italy Abstract From 13 March to 09 April 2012 Germany conducted a fisheries survey on board RV Polarstern in the Scotia Sea (Elephant Island - South Shetland Island - Joinville Island area) under the auspices of CCAMLR. During this expedition, ANT-XXVIII/4, an opportunistic marine mammal survey was carried out. Data were collected for 26 days along the externally preset cruise track, resulting in 295 hrs on effort. Within the study area 248 sightings were collected, including three different species of baleen whales, fin whale (Balaenoptera physalus), humpback whale ( Megaptera novaeangliae ), and Antarctic minke whale (Balaenoptera bonaerensis ) and one toothed whale species, killer whale ( Orcinus orca ). More than 62% of the sightings recorded were fin whales (155 sightings) which were mainly related to the Elephant Island area (116 sightings). Usual group sizes of the total fin whale sightings ranged from one to five individuals, also including young animals associated with adults during some encounters. Larger groups of more than 20 whales, and on two occasions more than 100 individuals, were observed as well. These large pods of fin whales were observed feeding in shallow waters (< 300 m) on the north-western shelf off Elephant Island, concordant with large aggregations of Antarctic krill ( Euphausia superba ). This observation suggests that Elephant Island constitutes an important feeding area for fin whales in early austral fall, with possible implications regarding the regulation of (krill) fisheries in this area. -
A Balanced Model of the Food Web of the Ross Sea, Antarctica
CCAMLR Science, Vol. 17 (2010): 1–31 A BALANCED MODEL OF THE FOOD WEB OF THE ROSS SEA, ANTARCTICA M.H. Pinkerton, J.M. Bradford-Grieve National Institute of Water and Atmospheric Research (NIWA) Ltd Private Bag 14901, Wellington 6241 New Zealand Email – [email protected] S.M. Hanchet NIWA Ltd PO Box 893, Nelson 7040 New Zealand Abstract A quantitative food web of the Ross Sea is presented here as a step towards investigating ecosystem effects of the fishery for Antarctic toothfishDissostichus ( mawsoni). The model consolidates quantitative information on trophic links across all the major biota of the Ross Sea and tests for data consistency. The model has 38 trophic groups and is balanced in terms of annual flows of organic carbon in an average recent year (1990–2000). The focus of the model is on the role of Antarctic toothfish in the food web which means that the model has greater taxonomic resolution towards the top of the food web than the base. A survey of the available literature and both published and unpublished data provided an initial set of parameters describing the annual average abundance, imports, exports, energetics (growth, reproduction, consumption) and trophic linkages (diets, key predators) for each model group. The relative level of uncertainty on these parameters was also estimated. This set of parameters was not self consistent, and a method is described to adjust the initial parameter set to give a balanced model, taking into account the estimates of parameter uncertainty and the large range of magnitude (>6 orders of magnitude) in trophic flows between groups. -
The Southern Ocean 118 Worldwide Review of Bottom Fisheries in the High Seas
THE SOUTHERN OCEAN 118 Worldwide review of bottom fisheries in the high seas 30°W 15°W 0° 15°E 30°E °S °S 10 10 47 °S a n t i c °S A t l O c e a 20 n 20 t h o u 41 S Bouvet Prince Edward 51 Island Islands R i d i a g So t e ut S o hern Crozet °S c O o °S S South Georgia ce 30 Island an Islands u 30 t h 48 I n d Kerguelen e Islands g i id a McDonald R g Islands r n Weddell e Heard b Sea Island ss u O 5858 a -G en c el u e rg Bellingshausen e a K 87 n 87 Sea Davis Amundsen Sea n a Sea e c S O o n Ross r e u h S Sea t t outh u o h e 88 S rn O P c ea a n c i °S f °S i M 30 c 30 a O c c qu Macquarie e a a r Island 81 n ie R 57 i d g e °S °S 20 20 Tasman 77 Sea °S °S 10 150°W 165°W 180° 165°E 150°E 10 Antarctic Convergence FAO Fishing Areas 200 nautical miles arcs CCAMLR Regulatory Area Map Projection: Lambert Azimuthal equal area FAO, 2008 MAP 1 The Southern Ocean 119 Southern Ocean FAO Statistical Areas 48, 58 and 88 GEOGRAPHIC DESCRIPTION OF THE REGION The Southern Ocean surrounds the continent of Antarctica, and constitutes about 15 percent of the world’s total ocean surface (CCAMLR, 2000). -
Age Determination in the Icefish Pseudochaenichthys Georgianus (Channichthyidae) Based on Multiple Methods Using Otoliths
Vol. 30: 1–18, 2021 AQUATIC BIOLOGY Published January 14 https://doi.org/10.3354/ab00736 Aquat Biol OPEN ACCESS Age determination in the icefish Pseudochaenichthys georgianus (Channichthyidae) based on multiple methods using otoliths Ryszard Traczyk1, Victor Benno Meyer-Rochow2,3,*, Robert M. Hughes4,5 1University of Gdańsk, Department of Oceanography and Geography, 81-378 Gdynia, Poland 2Department of Ecology and Genetics, Oulu University, 90140 Oulu, Finland 3Agricultural Science and Technology Research Institute, Andong National University, Andong 36729, Republic of Korea 4Amnis Opes Institute, Corvallis, Oregon 97333, USA 5Department of Fisheries & Wildlife, Oregon State University, Corvallis, Oregon 97331, USA ABSTRACT: Aging Antarctic icefish is difficult because of their lack of scales and poorly calcified bones. Icefish ages must therefore be estimated from otoliths. We describe a method of reading daily micro-increments in connection with shape, size and mass analyses of the otoliths of the South Georgia icefish Pseudochaenichthys georgianus. Changes in otolith morphology and mass correlate with fish size and age group. The otolith micro-increment analysis is capable of estab- lishing the age of an icefish by relating the daily micro-increment count to the life history of the fish. Micro-increment measurements and analyses are relatively simple to do by light and scan- ning electron microscopy and by using micro-densitometer and digitizing equipment. Drastic changes in the life history of an individual are reflected by measurable changes in its otolith micro- increment data as seen in our analyses of age groups 0−VI. The initial drastic change in daily micro-increment shapes and periodicities occur in connection with the hatching period of the ice- fish. -
The Values of the Antarctic Toothfish (Dissostichus Mawsoni)
PCAS 15 (2012/2013) Critical Literature Review (ANTA602) The values of the Antarctic Toothfish (Dissostichus mawsoni) Richard Kennedy Student ID: 35501879 Word count: 2957 (excluding abstract and references) Abstract (ca. 200 words): The Antarctic Toothfish (Dissostichus mawsoni) is an apex predator found only in the Southern Ocean. Antarctic Toothfish are commercially harvested. The industry is controversial since it involves humans interfering with a ‘pristine’ environment. Many environmental groups are concerned that Toothfish fishing could be detrimental to the food web structure of the Southern Ocean due to Antarctic Toothfish having an apex role within the ecosystem, being long lived, and the fact that little is known about their reproduction. The fisheries for Toothfish are managed by the Convention on the Conservation of Antarctic Marine Living Resources (CCAMLR). The Toothfish is valuable as an economic resource for nations involved in harvesting, and also valuable from ecological, and scientific perspectives. This industry appears to contradict the environmentally friendly values of New Zealanders; on closer analysis this may not be the case. With careful management the values of the Antarctic Toothfish can be maintained for future generations. Most of the literature comes from the scientific community with little or no publications available from industry bodies on either matters of sustainability or economics. The Antarctic Toothfish (Dissostichus mawsoni) is found only in the Southern Ocean and has been commercially harvested for the past sixteen years. The Antarctic Toothfish industry is controversial, with debate focusing on arguments of economics and of leaving a “pristine untouched” environment. Many environmental groups are concerned that the fishing could be detrimental to the entire food web structure of the Southern Ocean. -
ILLEGAL FISHING Which Fish Species Are at Highest Risk from Illegal and Unreported Fishing?
ILLEGAL FISHING Which fish species are at highest risk from illegal and unreported fishing? October 2015 CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION 4 METHODOLOGY 5 OVERALL FINDINGS 9 NOTES ON ESTIMATES OF IUU FISHING 13 Tunas 13 Sharks 14 The Mediterranean 14 US Imports 15 CONCLUSION 16 CITATIONS 17 OCEAN BASIN PROFILES APPENDIX 1: IUU Estimates for Species Groups and Ocean Regions APPENDIX 2: Estimates of IUU Risk for FAO Assessed Stocks APPENDIX 3: FAO Ocean Area Boundary Descriptions APPENDIX 4: 2014 U.S. Edible Imports of Wild-Caught Products APPENDIX 5: Overexploited Stocks Categorized as High Risk – U.S. Imported Products Possibly Derived from Stocks EXECUTIVE SUMMARY New analysis by World Wildlife Fund (WWF) finds that over 85 percent of global fish stocks can be considered at significant risk of Illegal, Unreported, and Unregulated (IUU) fishing. This evaluation is based on the most recent comprehensive estimates of IUU fishing and includes the worlds’ major commercial stocks or species groups, such as all those that are regularly assessed by the United Nations Food and Agriculture Organization (FAO). Based on WWF’s findings, the majority of the stocks, 54 percent, are categorized as at high risk of IUU, with an additional 32 perent judged to be at moderate risk. Of the 567 stocks that were assessed, the findings show that 485 stocks fall into these two categories. More than half of the world’s most overexploited stocks are at the highest risk of IUU fishing. Examining IUU risk by location, the WWF analysis shows that in more than one-third of the world’s ocean basins as designated by the FAO, all of these stocks were at high or moderate risk of IUU fishing. -
News Feature Esfeature News
NEWS FEATURE NEWS FEATURE Can animal culture drive evolution? Once the purview of humans, culture has been observed in all sorts of animals. But are these behaviors merely ephemeral fads or can they shape the genes and traits of future generations? Carolyn Beans, Science Writer In Antarctic waters, a group of killer whales makes a Scientists once placed culture squarely in the human wave big enough to knock a seal from its ice floe. domain. But discoveries in recent decades suggest that Meanwhile, in the North Atlantic, another killer whale a wide range of cultural practices—from foraging tactics group blows bubbles and flashes white bellies to and vocal displays to habitat use and play—may influ- herd a school of herrings into a ball. And in the Crozet ence the lives of other animals as well (3). Studies at- Archipelago in the Southern Ocean, still another group tribute additional orca behaviors, such as migration charges at seals on a beach, grasps the prey with their routes and song repertoires, to culture (4). Other re- ’ ’ teeth, and then backs into the water (1). Some re- search suggests that a finch ssong(5),achimpanzees ’ searchers see these as more than curious behaviors nut cracking (3), and a guppy s foraging route (6) are all manifestations of culture. Between 2012 and 2014, over or YouTube photo ops: they see cultural mores— 100 research groups published work on animal culture introduced into populations and passed to future gener- covering 66 species, according to a recent review (7). ations—that can actually affect animals’ fitness. -
Deep-Ocean Climate Change Impacts on Habitat, Fish and Fisheries, by Lisa Levin, Maria Baker, and Anthony Thompson (Eds)
ISSN 2070-7010 FAO 638 FISHERIES AND AQUACULTURE TECHNICAL PAPER 638 Deep-ocean climate change impacts on habitat, fish and fisheries Deep-ocean climate change impacts on habitat, fish and fisheries This publication presents the outcome of a meeting between the FAO/UNEP ABNJ Deep-seas and Biodiversity project and the Deep Ocean Stewardship Initiative. It focuses on the impacts of climatic changes on demersal fisheries, and the interactions of these fisheries with other species and vulnerable marine ecosystems. Regional fisheries management organizations rely on scientific information to develop advice to managers. In recent decades, climate change has been a focus largely as a unidirectional forcing over decadal timescales. However, changes can occur abruptly when critical thresholds are crossed. Moreover, distribution changes are expected as populations shift from existing to new areas. Hence, there is a need for new monitoring programmes to help scientists understand how these changes affect productivity and biodiversity. costa = 9,4 mm ISBN 978-92-5-131126-4 ISSN 2070-7010 FA 9 789251 311264 CA2528EN/1/09.19 O Cover image: Time of emergence of seafloor climate changes. Figure 7 in Chapter 8 of this Technical Paper. FAO FISHERIES AND Deep-ocean climate change AQUACULTURE TECHNICAL impacts on habitat, fish and PAPER fisheries 638 Edited by Lisa Levin Center for Marine Biodiversity and Conservation and Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego United States of America Maria Baker University of Southampton National Oceanography Centre Southampton United Kingdom of Great Britain and Northern Ireland Anthony Thompson Consultant Fisheries and Aquaculture Department Food and Agriculture Organization of the United Nations Rome Italy FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome, 2018 FAO. -
Patagonian Toothfish FAO-ASFIS Code
Stock Status Report: Patagonian toothfish [TOP] DOC/SC/07/2019 STATUS REPORT Dissostichus eleginoides Common Name: Patagonian toothfish FAO-ASFIS Code: TOP 2019 Updated 22 November, 2019 South East Atlantic Fisheries Organization [SEAFO] 1 Stock Status Report: Patagonian toothfish [TOP] DOC/SC/07/2019 TABLE OF CONTENTS 1. Description of the fishery ........................................................................................................................... 3 1.1 Description of fishing vessels and fishing gear ................................................................................. 3 1.2 Spatial and temporal distribution of fishing ..................................................................................... 5 1.3 Reported retained catches and discards ........................................................................................... 9 1.4 IUU .................................................................................................................................................... 9 2. Stock distribution and identity .................................................................................................................. 11 3. Data available for assessments, life history parameters and other population information ..................... 12 3.1 Samplings ............................................................................................................................................. 12 3.2 Length data and frequency distribution .........................................................................................