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  • 1
    Book
    Book
    Cambridge, Mass.
    Type of Medium: Book
    Pages: S. 30 - 67 , Ill
    Series Statement: Bulletin of the Museum of Comparative Zoology at Harvard College 134,2
    Language: English
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  • 2
    Type of Medium: Book
    Pages: 15 Bl , Ill., graph. Darst
    Series Statement: Reference / Woods Hole Oceanographic Institution 68,56
    Language: English
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  • 3
    Type of Medium: Book
    Pages: 14 p , illus , 32 cm
    Series Statement: Dana report 76
    DDC: 597.5/8
    Language: English
    Note: Bibliography: p. 14
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  • 4
    Publication Date: 2023-03-10
    Description: Three hundred and twenty-nine species of micronektonic fishes were identified in 1040 midwater trawl collections taken between 1963 and 1974 from the North and South Atlantic, the Mediterranean, the Caribbean and the Gulf of Mexico. The target of most tows was the deep scattering layer, and consequently the dominant species in the material were those that were concentrated in the layer. The results only generally confirm the 11 Atlantic mesopelagic ecoregions previously recognized. The geometric mean of the proportion of joint occurrences (GMPJO) of species with tows within each ecoregion was used to characterize the faunas of the ecoregions. The ecoregion affinities of fishes were compared to those of decapod shrimp in the same collections. The fish and shrimp faunas of ecoregions could be distinguished by GMPJO values, but the ranges of species favoring each ecoregion varied widely in extent and did not conform well to ecoregion boundaries or features of circulation. This suggests that co-occurring species respond differently to the physical properties and resulting biological factors defining mesopelagic ecoregions.
    Keywords: Alboran Sea; Canarias Sea; Caribbean Sea; Date/Time of event; Date/Time of event 2; DEPTH, water; Duration; Eastern Basin; Event label; Greenland Sea; Gulf of Mexico; IKMT; Ionian Sea; Isaac-Kid-Midwater Trawl; Latitude of event; Longitude of event; Norwegian Sea; Number of individuals; Period; RHB0800; RHB0801; RHB0802; RHB0803; RHB0804; RHB0805; RHB0806; RHB0807; RHB0808; RHB0809; RHB0810; RHB0811; RHB0812; RHB0813; RHB0855; RHB0856; RHB0857; RHB0858; RHB0859; RHB0860; RHB0861; RHB0862; RHB0863; RHB0864; RHB0865; RHB0866; RHB0867; RHB0868; RHB0869; RHB0870; RHB0871; RHB0872; RHB0873; RHB0900; RHB0901; RHB0902; RHB0904; RHB0905; RHB0906; RHB0907; RHB0909; RHB0910; RHB0911; RHB0912; RHB0913; RHB0914; RHB0915; RHB0916; RHB0950; RHB0951; RHB0953; RHB0954; RHB0955; RHB0957; RHB0958; RHB0959; RHB0960; RHB0961; RHB0962; RHB0963; RHB0964; RHB0965; RHB0966; RHB0967; RHB0968; RHB0969; RHB0970; RHB0971; RHB0972; RHB0973; RHB0974; RHB0975; RHB0976; RHB0977; RHB0978; RHB0979; RHB0980; RHB0982; RHB1001; RHB1002; RHB1003; RHB1004; RHB1005; RHB1006; RHB1007; RHB1008; RHB1009; RHB1010; RHB1011; RHB1012; RHB1013; RHB1014; RHB1015; RHB1016; RHB1017; RHB1018; RHB1019; RHB1020; RHB1021; RHB1022; RHB1023; RHB1024; RHB1025; RHB1026; RHB1027; RHB1028; RHB1029; RHB1030; RHB1031; RHB1032; RHB1033; RHB1034; RHB1035; RHB1036; RHB1037; RHB1038; RHB1039; RHB1040; RHB1041; RHB1042; RHB1043; RHB1044; RHB1045; RHB1046; RHB1047; RHB1049; RHB1050; RHB1051; RHB1052; RHB1053; RHB1054; RHB1055; RHB1100; RHB1101; RHB1102; RHB1104; RHB1105; RHB1106; RHB1107; RHB1108; RHB1109; RHB1111; RHB1112; RHB1113; RHB1114; RHB1115; RHB1116; RHB1117; RHB1118; RHB1119; RHB1120; RHB1121; RHB1122; RHB1123; RHB1124; RHB1125; RHB1126; RHB1127; RHB1128; RHB1129; RHB1130; RHB1131; RHB1132; RHB1200; RHB1201; RHB1202; RHB1203; RHB1204; RHB1205; RHB1206; RHB1207; RHB1208; RHB1209; RHB1210; RHB1211; RHB1212; RHB1213; RHB1214; RHB1215; RHB1216; RHB1217; RHB1218; RHB1219; RHB1220; RHB1221; RHB1222; RHB1223; RHB1250; RHB1251; RHB1252; RHB1253; RHB1254; RHB1255; RHB1256; RHB1257; RHB1258; RHB1259; RHB1260; RHB1261; RHB1262; RHB1263; RHB1264; RHB1265; RHB1266; RHB1267; RHB1268; RHB1269; RHB1270; RHB1271; RHB1272; RHB1273; RHB1274; RHB1275; RHB1276; RHB1277; RHB1278; RHB1279; RHB1280; RHB1281; RHB1282; RHB1283; RHB1284; RHB1285; RHB1286; RHB1287; RHB1288; RHB1289; RHB1290; RHB1291; RHB1292; RHB1293; RHB1294; RHB1295; RHB1296; RHB1297; RHB1298; RHB1299; RHB1300; RHB1301; RHB1302; RHB1303; RHB1304; RHB1305; RHB1306; RHB1307; RHB1308; RHB1309; RHB1310; RHB1311; RHB1312; RHB1313; RHB1314; RHB1315; RHB1316; RHB1317; RHB1318; RHB1420; RHB1421; RHB1422; RHB1423; RHB1424; RHB1425; RHB1426; RHB1427; RHB1428; RHB1429; RHB1430; RHB1431; RHB1432; RHB1433; RHB1434; RHB1435; RHB1436; RHB1437; RHB1438; RHB1439; RHB1440; RHB1441; RHB1442; RHB1501; RHB1502; RHB1503; RHB1504; RHB1505; RHB1506; RHB1507; RHB1508; RHB1509; RHB1510; RHB1511; RHB1512; RHB1513; RHB1514; RHB1515; RHB1516; RHB1517; RHB1518; RHB1519; RHB1520; RHB1521; RHB1522; RHB1523; RHB1600; RHB1601; RHB1602; RHB1603; RHB1650; RHB1700; RHB1701; RHB1702; RHB1703; RHB1704; RHB1705; RHB1706; RHB1707; RHB1708; RHB1709; RHB1710; RHB1711; RHB1712; RHB1713; RHB1714; RHB1715; RHB1716; RHB1717; RHB1718; RHB1720; RHB1721; RHB1722; RHB1723; RHB1724; RHB1725; RHB1727; RHB1728; RHB1729; RHB1730; RHB1731; RHB1732; RHB1733; RHB1734; RHB1735; RHB1736; RHB1737; RHB1738; RHB1740; RHB1741; RHB1800; RHB1801; RHB1802; RHB1803; RHB1804; RHB1805; RHB1807; RHB1808; RHB1809; RHB1810; RHB1811; RHB1812; RHB1813; RHB1814; RHB1815; RHB1816; RHB1817; RHB1818; RHB1819; RHB1820; RHB1821; RHB1822; RHB1823; RHB1824; RHB1825; RHB1826; RHB1827; RHB1828; RHB1829; RHB1830; RHB1831; RHB1832; RHB1833; RHB1834; RHB1835; RHB1836; RHB1837; RHB1838; RHB1839; RHB1840; RHB1841; RHB1842; RHB1843; RHB1844; RHB1845; RHB1846; RHB1847; RHB1848; RHB1849; RHB1850; RHB1851; RHB1852; RHB1853; RHB1854; RHB1855; RHB1856; RHB1857; RHB1858; RHB1859; RHB1860; RHB1861; RHB1862; RHB1863; RHB1864; RHB1865; RHB1866; RHB1867; RHB1868; RHB1869; RHB1870; RHB1871; RHB1872; RHB1873; RHB1874; RHB1875; RHB1876; RHB1877; RHB1878; RHB1879; RHB1880; RHB1881; RHB1882; RHB1883; RHB1884; RHB1885; RHB1886; RHB1887; RHB1888; RHB1889; RHB1890; RHB1891; RHB1892; RHB1893; RHB1894; RHB1895; RHB1896; RHB1897; RHB1898; RHB1899; RHB1900; RHB1901; RHB1902; RHB1903; RHB1904; RHB1906; RHB1907; RHB1908; RHB1909; RHB1910; RHB1911; RHB1912; RHB1913; RHB1914; RHB1915; RHB1916; RHB1917; RHB1918; RHB1919; RHB1920; RHB1921; RHB1922; RHB1923; RHB1924; RHB1925; RHB1926; RHB1927; RHB1928; RHB1929; RHB1930; RHB1931; RHB1932; RHB1933; RHB1934; RHB1935; RHB1936; RHB1937; RHB1938; RHB1939; RHB1940; RHB1941; RHB1942; RHB1943; RHB1944; RHB1961; RHB2000; RHB2001; RHB2002; RHB2003; RHB2004; RHB2005; RHB2006; RHB2007; RHB2008; RHB2009; RHB2010; RHB2011; RHB2012; RHB2013; RHB2014; RHB2015; RHB2016; RHB2017; RHB2018; RHB2019; RHB2020; RHB2021; RHB2022; RHB2023; RHB2024; RHB2025; RHB2026; RHB2027; RHB2028; RHB2029; RHB2030; RHB2031; RHB2032; RHB2033; RHB2034; RHB2035; RHB2036; RHB2037; RHB2038; RHB2039; RHB2040; RHB2041; RHB2042; RHB2043; RHB2044; RHB2045; RHB2046; RHB2047; RHB2048; RHB2049; RHB2050; RHB2051; RHB2052; RHB2053; RHB2054; RHB2055; RHB2056; RHB2057; RHB2058; RHB2059; RHB2060; RHB2061; RHB2062; RHB2063; RHB2065; RHB2066; RHB2067; RHB2068; RHB2069; RHB2070; RHB2071; RHB2073; RHB2074; RHB2075; RHB2076; RHB2077; RHB2078; RHB2079; RHB2080; RHB2081; RHB2082; RHB2083; RHB2084; RHB2085; RHB2086; RHB2087; RHB2088; RHB2089; RHB2090; RHB2091; RHB2092; RHB2093; RHB2094; RHB2095; RHB2096; RHB2097; RHB2098; RHB2099; RHB2100; RHB2101; RHB2102; RHB2103; RHB2104; RHB2105; RHB2106; RHB2107; RHB2108; RHB2109; RHB2110; RHB2111; RHB2112; RHB2113; RHB2114; RHB2115; RHB2116; RHB2117; RHB2118; RHB2119; RHB2120; RHB2200; RHB2201; RHB2202; RHB2203; RHB2204; RHB2205; RHB2206; RHB2207; RHB2208; RHB2209; RHB2210; RHB2211; RHB2212; RHB2213; RHB2214; RHB2215; RHB2216; RHB2217; RHB2218; RHB2219; RHB2220; RHB2221; RHB2222; RHB2223; RHB2224; RHB2225; RHB2226; RHB2227; RHB2228; RHB2229; RHB2230; RHB2231; RHB2232; RHB2233; RHB2234; RHB2235; RHB2236; RHB2237; RHB2238; RHB2239; RHB2240; RHB2241; RHB2242; RHB2243; RHB2244; RHB2245; RHB2246; RHB2247; RHB2248; RHB2249; RHB2250; RHB2251; RHB2252; RHB2253; RHB2254; RHB2255; RHB2256; RHB2257; RHB2258; RHB2259; RHB2260; RHB2261; RHB2262; RHB2263; RHB2264; RHB2265; RHB2266; RHB2267; RHB2268; RHB2269; RHB2270; RHB2271; RHB2272; RHB2273; RHB2274; RHB2275; RHB2276; RHB2277; RHB2278; RHB2279; RHB2280; RHB2281; RHB2282; RHB2283; RHB2285; RHB2286; RHB2287; RHB2288; RHB2289; RHB2290; RHB2291; RHB2292; RHB2293; RHB2294; RHB2295; RHB2296; RHB2298; RHB2299; RHB2300; RHB2301; RHB2400; RHB2401; RHB2402; RHB2404; RHB2405; RHB2406; RHB2407; RHB2408; RHB2409; RHB2410; RHB2411; RHB2412; RHB2413; RHB2414; RHB2415; RHB2416; RHB2417; RHB2418; RHB2500; RHB2501; RHB2502; RHB2503; RHB2504; RHB2505; RHB2506; RHB2507; RHB2508; RHB2509; RHB2510; RHB2511; RHB2512; RHB2513; RHB2514; RHB2516; RHB2517; RHB2518; RHB2519; RHB2520; RHB2521; RHB2522; RHB2523; RHB2524; RHB2525; RHB2526; RHB2527; RHB2528; RHB2529; RHB2530; RHB2531; RHB2532; RHB2533; RHB2534; RHB2535; RHB2536; RHB2537; RHB2538; RHB2540; RHB2541; RHB2542; RHB2543; RHB2544; RHB2546; RHB2547; RHB2548; RHB2549; RHB2550; RHB2551; RHB2552; RHB2553; RHB2554; RHB2555; RHB2556; RHB2557; RHB2558; RHB2559; RHB2560; RHB2561; RHB2562; RHB2563; RHB2564; RHB2565; RHB2566; RHB2567; RHB2568; RHB2569; RHB2570; RHB2571; RHB2572; RHB2573; RHB2574; RHB2575; RHB2576; RHB2577; RHB2578; RHB2579; RHB2580; RHB2581; RHB2582; RHB2583; RHB2584; RHB2585; RHB2586; RHB2587; RHB2588; RHB2589; RHB2590; RHB2591; RHB2592; RHB2594; RHB2595; RHB2596; RHB2597; RHB2598; RHB2599; RHB2600; RHB2601; RHB2602; RHB2603; RHB2604; RHB2605; RHB2606; RHB2607; RHB2608; RHB2609; RHB2610; RHB2611; RHB2612; RHB2613; RHB2614; RHB2615; RHB2616; RHB2617; RHB2618; RHB2619; RHB2620; RHB2621; RHB2622; RHB2623; RHB2624; RHB2625; RHB2626; RHB2627; RHB2628; RHB2629; RHB2630; RHB2631; RHB2632;
    Type: Dataset
    Format: text/tab-separated-values, 79729 data points
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 18 (1999), S. 0 
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: In the decades since World War II, large-scale ecological changes have affected fishing communities across the northern Atlantic. Substantial declines hit their historically important resources, most notably the Atlantic cod. Such declines were often accompanied by increases in other, previously less exploited, species. Interactions between fishing pressure and environmental variation have driven ecological change. Ecological changes in turn reshaped the fisheries, contributing to altered demographic profiles of fisheries-dependent communities. Many places lost population, especially through out-migration of young adults. Broad social forces also contributed to these trends, but the timing and geographical details of population changes often correspond to specific fisheries/ecological events.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 439 (2006), S. 29-29 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Criteria from the World Conservation Union (IUCN) have been used to classify marine fish species as endangered since 1996, but deep-sea fish have not so far been evaluated — despite their vulnerability to aggressive deepwater fishing as a result of certain life-history traits. Here we use ...
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 269 (1977), S. 141-142 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] As part of a general study of the distribution and ecology of deep benthic communities, we have made 116 trawl collections on the continental slope, rise, and abyss in the western Atlantic south of New England. Our principal gear for deep bottom trawling has been a 41-ft Gulf of Mexico shrimp trawl ...
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Oecologia 31 (1978), S. 311-317 
    ISSN: 1432-1939
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A test based on Maxwell-Boltzman statistics, instead of the formerly suggested but inappropriate Bose-Einstein statistics (Pielou and Routledge, 1976), examines the distribution of the boundaries of species' ranges distributed along a gradient, and indicates whether they are random or clustered (zoned). The test is most useful as a preliminary to the application of more instructive but less statistically rigorous methods such as cluster analysis. The test indicates zonation is marked in the deep benthic megafauna living between 200 and 3000 m, but below 3000 m little zonation may be found.
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 2020-02-06
    Description: We have developed a global biogeographic classification of the mesopelagic zone to reflect the regional scales over which the ocean interior varies in terms of biodiversity and function. An integrated approach was necessary, as global gaps in information and variable sampling methods preclude strictly statistical approaches. A panel combining expertise in oceanography, geospatial mapping, and deep-sea biology convened to collate expert opinion on the distributional patterns of pelagic fauna relative to environmental proxies (temperature, salinity, and dissolved oxygen at mesopelagic depths). An iterative Delphi Method integrating additional biological and physical data was used to classify biogeographic ecoregions and to identify the location of ecoregion boundaries or inter-regions gradients. We define 33 global mesopelagic ecoregions. Of these, 20 are oceanic while 13 are ‘distant neritic.’ While each is driven by a complex of controlling factors, the putative primary driver of each ecoregion was identified. While work remains to be done to produce a comprehensive and robust mesopelagic biogeography (i.e., reflecting temporal variation), we believe that the classification set forth in this study will prove to be a useful and timely input to policy planning and management for conservation of deep-pelagic marine resources. In particular, it gives an indication of the spatial scale at which faunal communities are expected to be broadly similar in composition, and hence can inform application of ecosystem-based management approaches, marine spatial planning and the distribution and spacing of networks of representative protected areas
    Type: Article , PeerReviewed
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  • 10
    Publication Date: 2019-09-23
    Description: As coastal fisheries around the world have collapsed, industrial fishing has spread seaward and deeper in pursuit of the last economically attractive concentrations of fishable biomass. For a seafood-hungry world depending on the oceans' ecosystem services, it is crucial to know whether deep-sea fisheries can be sustainable. The deep sea is by far the largest but least productive part of the oceans, although in very limited places fish biomass can be very high. Most deep-sea fishes have life histories giving them far less population resilience/productivity than shallow-water fishes, and could be fished sustainably only at very low catch rates if population resilience were the sole consideration. But like old-growth trees and great whales, their biomass makes them tempting targets while their low productivity creates strong economic incentive to liquidate their populations rather than exploiting them sustainably (Clark's Law). Many deep-sea fisheries use bottom trawls, which often have high impacts on nontarget fishes (e.g., sharks) and invertebrates (e.g., corals), and can often proceed only because they receive massive government subsidies. The combination of very low target population productivity, nonselective fishing gear, economics that favor population liquidation and a very weak regulatory regime makes deep-sea fisheries unsustainable with very few exceptions. Rather, deep-sea fisheries more closely resemble mining operations that serially eliminate fishable populations and move on. Instead of mining fish from the least-suitable places on Earth, an ecologically and economically preferable strategy would be rebuilding and sustainably fishing resilient populations in the most suitable places, namely shallower and more productive marine ecosystems that are closer to markets. Highlights ► Industrial fishing has spread seaward and deeper in pursuit of wild fish biomass. ► Low productivity deep-sea fishes tempt fishermen to overexploit their populations. ► Azores hook-and-line black scabbardfish is a rare, apparently sustainable exception. ► Subsidies for trawling in poorly managed high seas areas incentivize overfishing. ► Recovering and fishing productive shelf fish populations is much more sustainable.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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