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Journal articles on the topic 'Fish species'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Das, Hitesh. "Fish species richness and diversity of an unmanaged fish pond, Nalbari, Assam." Indian Journal of Applied Research 4, no. 1 (October 1, 2011): 37–38. http://dx.doi.org/10.15373/2249555x/jan2014/12.

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2

Ibrahim, Hemmat, Reham Amin, Nesreen Eleiwa, and Hanan Ghanaym. "Vibrio Species in Fish and Shell Fish." Benha Veterinary Medical Journal 34, no. 2 (June 1, 2018): 246–54. http://dx.doi.org/10.21608/bvmj.2018.29435.

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3

Tuset, Víctor Manuel, Ernesto Azzurro, and Antoni Lombarte. "Identification of Lessepsian fish species using the sagittal otolith." Scientia Marina 76, no. 2 (January 20, 2012): 289–99. http://dx.doi.org/10.3989/scimar.03420.18e.

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4

Czeczuga, Bazyli, Bożena Kiziewicz, and Zbigniew Danilkiewicz. "Zoosporic fungi growing on the specimens of certain fish species recently introduced to Polish waters." Acta Ichthyologica et Piscatoria 32, no. 2 (December 31, 2002): 117–25. http://dx.doi.org/10.3750/aip2002.32.2.02.

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5

Hänninen, Marja-liisa, Pekka Oivanen, and Varpu Hirvelä-koski. "Aeromonas species in fish, fish-eggs, shrimp and freshwater." International Journal of Food Microbiology 34, no. 1 (January 1997): 17–26. http://dx.doi.org/10.1016/s0168-1605(96)01163-4.

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6

Donaldson, Michael R., Connie M. O'Connor, Lisa A. Thompson, Andrew J. Gingerich, Sascha E. Danylchuk, René R. Duplain, and Steven J. Cooke. "Contrasting Global Game Fish and Non-Game Fish Species." Fisheries 36, no. 8 (August 25, 2011): 385–97. http://dx.doi.org/10.1080/03632415.2011.597672.

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7

Rehbein, Hartmut. "Identification of the Fish Species Processed to Fish Meal." Journal of Aquatic Food Product Technology 11, no. 3-4 (November 6, 2002): 45–56. http://dx.doi.org/10.1300/j030v11n03_05.

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8

Larson, Allan, Anthony A. Echelle, and Irv Kornfield. "Evolution of Fish Species Flocks." Evolution 39, no. 6 (November 1985): 1396. http://dx.doi.org/10.2307/2408798.

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9

Kawamura, Gunzo, and Matsunosuke Tamura. "Species selectivity of fish basket." NIPPON SUISAN GAKKAISHI 56, no. 6 (1990): 917–21. http://dx.doi.org/10.2331/suisan.56.917.

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10

dos Santos, Hugo Leandro. "Larva Culture for Fish Species." Environmental Sciences and Ecology: Current Research (ESECR 3, no. 4 (June 7, 2022): 1–2. http://dx.doi.org/10.54026/esecr/1060.

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11

Mascolo, Celestina, Raffaele Marrone, Alfonsina Palma, and Giuseppe Palma. "Nutritional Value of Fish Species." Journal of Nutritional Ecology and Food Research 1, no. 3 (September 1, 2013): 219–25. http://dx.doi.org/10.1166/jnef.2013.1032.

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12

Maric, Drago. "Endemic fish species of Montenegro." Biological Conservation 72, no. 2 (1995): 187–94. http://dx.doi.org/10.1016/0006-3207(94)00081-z.

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13

Ward, Robert D., Tyler S. Zemlak, Bronwyn H. Innes, Peter R. Last, and Paul D. N. Hebert. "DNA barcoding Australia's fish species." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1462 (September 15, 2005): 1847–57. http://dx.doi.org/10.1098/rstb.2005.1716.

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Two hundred and seven species of fish, mostly Australian marine fish, were sequenced (barcoded) for a 655 bp region of the mitochondrial cytochrome oxidase subunit I gene ( cox1 ). Most species were represented by multiple specimens, and 754 sequences were generated. The GC content of the 143 species of teleosts was higher than the 61 species of sharks and rays (47.1% versus 42.2%), largely due to a higher GC content of codon position 3 in the former (41.1% versus 29.9%). Rays had higher GC than sharks (44.7% versus 41.0%), again largely due to higher GC in the 3rd codon position in the former (36.3% versus 26.8%). Average within-species, genus, family, order and class Kimura two parameter (K2P) distances were 0.39%, 9.93%, 15.46%, 22.18% and 23.27%, respectively. All species could be differentiated by their cox1 sequence, although single individuals of each of two species had haplotypes characteristic of a congener. Although DNA barcoding aims to develop species identification systems, some phylogenetic signal was apparent in the data. In the neighbour-joining tree for all 754 sequences, four major clusters were apparent: chimaerids, rays, sharks and teleosts. Species within genera invariably clustered, and generally so did genera within families. Three taxonomic groups—dogfishes of the genus Squalus , flatheads of the family Platycephalidae, and tunas of the genus Thunnus —were examined more closely. The clades revealed after bootstrapping generally corresponded well with expectations. Individuals from operational taxonomic units designated as Squalus species B through F formed individual clades, supporting morphological evidence for each of these being separate species. We conclude that cox1 sequencing, or ‘barcoding’, can be used to identify fish species.

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14

Alejo, Alí, and Carolina Tafalla. "Chemokines in teleost fish species." Developmental & Comparative Immunology 35, no. 12 (December 2011): 1215–22. http://dx.doi.org/10.1016/j.dci.2011.03.011.

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15

Adah, A. D., S. Lawal, S. J. Oniye, O. O. Okunbabjo, S. D. Ola-Fadunsin, and A. S. Adah. "Occurrence and risk factors associated with Eimeria species infections in Clarias gariepinus and Heteroclarias species." Nigerian Journal of Parasitology 43, no. 1 (May 28, 2022): 93–101. http://dx.doi.org/10.4314/njpar.v43i1.13.

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Eimeria infection can cause a serious health risk to fish in the wild and especially to the fish production enterprise. Eimeria species are a group of protozoan parasites common in many fish farming systems with little information available on the occurrence, impact, and risks associated with the infection in fish populations. This study was conducted to ascertain the prevalence and risk factors associated with Eimeria species infections in three hundred and seventy-six Clarias gariepinus and Heteroclarias species from some selected fish farms in Kaduna state, Nigeria. Using direct smear techniques, oocysts were recovered from the mucous and intestinal content of the fish. Data on the risk factors were obtained by administering a well-structured questionnaire to the fish farmers. An overall prevalence of 30.3 % was obtained for the apicomplexan parasite of the genus Eimeria. The monthly prevalence of Eimeria species infection among fish was highest in October and the lowest in July. Some risk factors were significantly (p <0.05) associated with fishes in the univariate model. Sex of fish, level of formal education of farmers, feeding of fish with dead poultry and fish, and the number of ponds in a fish farm were the significant risk factors in the multivariate model. This finding indicates that Eimeria species infection is endemic and of great concern among the fish population, thereby posing significant health problems. There is a need for improved fish management practices and biosecurity protocols.

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16

Doadrio, I., S. Perea, P. Garzón, J. L. González, V. C. Almada, and A. Pereira. "New distribution data on Spanish autochthonous species of freshwater fish." Graellsia 67, no. 1 (June 1, 2011): 91–102. http://dx.doi.org/10.3989/graellsia.2011.v67.032.

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17

Patil, Raju M., Sagar T. Sankpal, and Pratap V. Naikwade. "Bioaccumulation of Heavy Metalsin Fish Species of Ratnagiri Coast, Maharashtra." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 393–94. http://dx.doi.org/10.15373/2249555x/july2014/182.

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18

M. Hassoon, Israa. "Fish Species Identification Techniques: A Review." Al-Nahrain Journal of Science 25, no. 2 (June 1, 2022): 39–44. http://dx.doi.org/10.22401/anjs.25.2.08.

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Fish species identification process is still problematical and time consuming, so automated fish identification is important. The performance of various fish identification techniques is compared depending on pre-processing, number of significant characteristics and identification correctness. The reason for writing this review stems from the importance of fish for humans as food and as a wealth which support the economy of countries. Therefore, it is necessary to shed light on fish and how to distinguish the beneficial and harmful ones, discover and identify fish diseases, and so on, which contributes in building a knowledge base available to all. The aim of this paper is present a review on various fish species identification techniques; pre-processing operations, features extraction methods, recognition/classification techniques and databases. This review will be helpful for beginner researchers, it can be used as a starting point for new fish species identification approaches.

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19

Cakli, Sükran, Latif Taskaya, Duygu Kisla, Ufuk Çelik, Can Altinel Ataman, Asli Cadun, Berna Kilinc, and Ramin Haji Maleki. "Production and quality of fish fingers from different fish species." European Food Research and Technology 220, no. 5-6 (November 27, 2004): 526–30. http://dx.doi.org/10.1007/s00217-004-1089-9.

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20

E., Golomazou, and Karanis P. "Cryptosporidium Species in Fish: An Update." Environmental Sciences Proceedings 2, no. 1 (August 11, 2020): 13. http://dx.doi.org/10.3390/environsciproc2020002013.

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Cryptosporidium species have been detected in fish, in a wide range of geographical regions. Currently, three species are genetically characterized as piscine-host-specific: C. molnari, C. scophthalmi, C. huwi. One potential novel species, 23 additional piscine genotypes, other non-piscine-host-specific Cryptosporidium species (C. parvum, C. hominis, C. scrofarum, C. xiaoi) and the rat genotype III have been genetically characterized in fish. The pathology of cryptosporidiosis is very important for the aquaculture industry, causing mortalities in farmed fish, while the presence of Cryptosporidium zoonotic subtypes in edible fish increases the fish-borne zoonotic potential risk, which is of major importance from a public health point of view.

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21

Sah, Sweeti. "Web Database of Threatened Fish Species." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 1262–68. http://dx.doi.org/10.22214/ijraset.2018.4216.

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22

Robins, C. Richard. "Regional Diversity among Caribbean Fish Species." BioScience 41, no. 7 (July 1991): 458–59. http://dx.doi.org/10.2307/1311800.

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23

Larson, Allan. "THE EVOLUTION OF FISH SPECIES FLOCKS." Evolution 39, no. 6 (November 1985): 1396–99. http://dx.doi.org/10.1111/j.1558-5646.1985.tb05707.x.

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24

Le Page, Michael. "Fish species split before our eyes." New Scientist 229, no. 3063 (March 2016): 14. http://dx.doi.org/10.1016/s0262-4079(16)60065-9.

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25

Sinclair, Michael, and T. Derrick Iles. "Population richness of marine fish species." Aquatic Living Resources 1, no. 1 (January 1988): 71–83. http://dx.doi.org/10.1051/alr:1988009.

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26

Jerde, Christopher L., Emily A. Wilson, and Terra L. Dressler. "Measuring global fish species richness witheDNAmetabarcoding." Molecular Ecology Resources 19, no. 1 (January 2019): 19–22. http://dx.doi.org/10.1111/1755-0998.12929.

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27

Venugopal, V. "Mince from low-cost fish species." Trends in Food Science & Technology 3 (January 1992): 2–5. http://dx.doi.org/10.1016/0924-2244(92)90102-3.

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28

Sotelo, Carmen G., Carmen Piñeiro, Jose Manuel Gallardo, and Ricardo I. Pérez-Martin. "Fish species identification in seafood products." Trends in Food Science & Technology 4, no. 12 (December 1993): 395–401. http://dx.doi.org/10.1016/0924-2244(93)90043-a.

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29

Poey, Felipe. "XXIII.-New Species of Cuban Fish." Annals of The Lyceum of Natural History of New York 9, no. 1 (May 22, 2009): 317–22. http://dx.doi.org/10.1111/j.1749-6632.1870.tb00197.x.

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30

Dembkowski, Dan J. "Fish Species Richness in Oxbow Lakes." Fisheries 36, no. 6 (June 15, 2011): 295. http://dx.doi.org/10.1080/03632415.2011.574589.

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31

HSIEH, YUN-HWA P. "SPECIES SUBSTITUTION OF RESTAURANT FISH ENTREES." Journal of Food Quality 21, no. 1 (January 1998): 1–11. http://dx.doi.org/10.1111/j.1745-4557.1998.tb00499.x.

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32

Yossa, M. I., and C. A. R. M. Araujo‐Lima. "Detritivory in two Amazonian fish species." Journal of Fish Biology 52, no. 6 (June 1998): 1141–53. http://dx.doi.org/10.1111/j.1095-8649.1998.tb00961.x.

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33

Korneliussen, Rolf J., Yngve Heggelund, Inge K. Eliassen, and Geir O. Johansen. "Acoustic species identification of schooling fish." ICES Journal of Marine Science 66, no. 6 (May 2, 2009): 1111–18. http://dx.doi.org/10.1093/icesjms/fsp119.

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Abstract Korneliussen, R. J., Heggelund, Y., Eliassen, I. K., and Johansen, G. O. 2009. Acoustic species identification of schooling fish. – ICES Journal of Marine Science, 66: 1111–1118. The development of methods for the acoustic identification of fish is a long-term objective aimed at reducing uncertainty in acoustic-survey estimates. The relative frequency response r(f) measured simultaneously at several frequencies is one of the main acoustic features that characterize the targets, but the relationship between nearest neighbours, school morphology, and environmental and geographical data are also important characteristics in this context. The number of acoustic categories that can be separated with a high spatial resolution is limited by the stochastic nature of the measurements. Because the acoustic categorization of larger ensembles is more reliable than for single targets, spatial smoothing of the backscattering within the school boundaries before that process allows the separation of more categories than is possible with the raw, highly resolved data. Using the mean r(f) of an entire school gives even more reliable categorization, but determining whether or not the school is monospecific sets a new challenge. This problem is evaluated here. The methods are tested and verified. Identification of acoustic categories with similar acoustic properties is done for schooling fish, although the results have limited spatial resolution. The reliability of the categorization is further improved when knowledge of school morphology and geographical distribution of the species are taken into account.

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34

Chuaqui-Offermanns, N., T. E. McDougall, W. Sprung, and V. Sullivan. "Radurization of commercial freshwater fish species." International Journal of Radiation Applications and Instrumentation. Part C. Radiation Physics and Chemistry 31, no. 1-3 (January 1988): 243–52. http://dx.doi.org/10.1016/1359-0197(88)90134-8.

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35

Hawkins, W. E., R. M. Overstreet, and W. W. Walker. "Carcinogenicity tests with small fish species." Aquatic Toxicology 11, no. 1-2 (January 1988): 113–28. http://dx.doi.org/10.1016/0166-445x(88)90009-4.

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36

Kalinowska, Krystyna, Dariusz Ulikowski, Piotr Traczuk, Michał Kozłowski, and Andrzej Kapusta. "Fish Species Richness in Polish Lakes." Diversity 15, no. 2 (January 24, 2023): 164. http://dx.doi.org/10.3390/d15020164.

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Global warming, eutrophication, fisheries overexploitation, species invasions, and habitat loss are the major threats to freshwater biodiversity. The aim of this study was to determine the species richness and diversity of fish in 535 Polish lakes of different morphometry (area of more than 50 ha and a maximum depth ranging from 0.4 to 108.5 m) and trophic status (from oligotrophy to hypereutrophy). A total of 39 fish species were found in the studied lakes, among which eight species were alien invasive. The Shannon diversity index varied between 0 and 2.04.The most common and frequent species were Rutilus rutilus (99.8% frequency) and Perca fluviatilis (99.6% frequency). Ten fish species, including five alien ones, were characterized by a very low frequency (<1%). The number of fish species in single lakes ranged from 1 to 19. In most of the studied lakes, 11 and 12 species (104 and 108 lakes, respectively) were caught. The richest taxonomic composition (19 species) was recorded in the meso-eutrophic lake with an area of 80 ha and a maximum depth of 34.4 m, slightly poorer (18 species) in the hypereutrophic lake with an area of 168 ha and a maximum depth of 2.7 m. The poorest taxonomic composition (one species) was found in a lake with low conductivity and circumneutral pH. Statistical analysis showed that the number of fish species decreased with increasing eutrophication conditions of the studied lakes, while it increased with an increasing area and the maximum depth of these lakes.

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37

Plamoottil, Mathews. "Pristolepis pentacantha, a new fish species (Perciformes: Pristolepidae) from Kerala, India." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 552–54. http://dx.doi.org/10.15373/22778179/may2014/182.

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38

Prihatini, Wahyu. "Diversity of Fish Species in Cilodong Lake." Journal of Science Innovare 1, no. 01 (March 13, 2018): 14–17. http://dx.doi.org/10.33751/jsi.v1i01.678.

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Fish provides many benefits for humans, such as food and ornamental fish. Lake fish in West Java is increasingly threatened due to environmental degradation. This study aimed to record the diversity of fish species and its potency in Cilodong Lake, Depok. The parameters measured were the diversity of fish species by Shannon Wienner index, and the physical chemical of water quality that were pH, DO, BOD, COD, TOM, temperature, brightness, and depth. This research found 12 species consumption fishes, and 5 species of ornamental fishes. Four most common species found were Oreochromis mossambicus (cichlids/mujair), Oreochromis sp., Hypostomus sp. (ikan sapu-sapu), and Dermogenys pussil (julung-julung). The Pearson correlation analysis results showed that all physical chemical parameters of water correlated inversely with the diversity of fish species. Parameters that had very strong correlation with the species diversity in Cilodong Lake were the water depth, temperature, and COD. Keywords: Species Diversity, Fish, Lake Cilodong

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39

Geiger, Franz, Mathilde Cuchet, and Peter Rutschmann. "Fish behavior and fish guidance at hydropower intake screens for fish downstream passage." E3S Web of Conferences 40 (2018): 03041. http://dx.doi.org/10.1051/e3sconf/20184003041.

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Fish behaviour investigations under controlled laboratory conditions but nature like environment were conducted to clarify the efficiency of inclined and horizontal screen planes for fish protection and fish downstream passage at hydropower plants concerning different potamodromous species and various sizes. The dependency on the underlying geometric and hydraulic parameters was investigated and comprehensive models were deduced to describe these relations. Adequate geometric and hydraulic design could achieve high levels of fish protection and downstream passage efficiency, even for small fish, weak swimmers and riverbed/bottom oriented species. The results imply good transferability and accordance with field observations at large scale facilities and can provide valuable information for facility design.

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40

Manangkalangi, Emmanuel, M. Fadjar Rahardjo, Renny K. Hadiaty, Sigid Hariyadi, and Charles P. H. Simanjuntak. "Ekologi trofik komunitas ikan di Sungai Nimbai: Interaksi kompetisi dan pemangsaan terhadap ikan pelangi arfak, Melanotaenia arfakensis Allen, 1990." Jurnal Iktiologi Indonesia 19, no. 3 (October 1, 2019): 449. http://dx.doi.org/10.32491/jii.v19i3.505.

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Information on trophic ecology can provide an understanding of the functional role of fish in an ecosystem, including endemic and native fish groups, as well as alien fish that are introduced through anthropogenic activities. The research on the trophic ecology of the fish community in the Nimbai Stream, Prafi River system, is intended to describe the interaction of competition and predation, especially towards endemic fish, Melanotaenia arfakensis. Fish samples were collected monthly from four habitat types, i.e., slow littoral, medium littoral, pool, and run from May 2016 to April 2017. A combination of an electric shocker and a hand net was used to collect fish samples. A total of 16 fish species were collected, consists of one endemic species, namely M. arfakensis, nine species of native fish, and six species of alien fish. The Arfak rainbowfish and three native fish species were categorized as insectivorous, four native fish species as herbivorous, and two other fishes as carnivorous. Three alien fish species also belong to insectivorous, two alien fish species as carnivorous, and one species as herbivorous. The niche breadth of fish communities ranges from 0.071 to 0.857. The trophic niche overlap between the Arfak rainbowfish and three native fish species and three alien fish species was recorded. The results of this study indicate a potential competition and predation interactions between Arfak rainbowfish and native fish as well as with alien fish species. Therefore, introducing alien fish into Prafi River system will disrupt Arfak rainbowfish population.

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41

MURAKAMI, Taro, Atsushi MASAYAMA, Masami KI, Tetsuo YAMANO, and Mituru SIMIZU. "DNA-Based Identification of Fish Species Implicated in Puffer Fish Poisoning." Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi) 52, no. 6 (2011): 348–53. http://dx.doi.org/10.3358/shokueishi.52.348.

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42

Servetnik, G. E. "The use of new fish species in polyculture in fish farming." Rybovodstvo i rybnoe hozjajstvo (Fish Breeding and Fisheries), no. 9 (September 11, 2022): 636–45. http://dx.doi.org/10.33920/sel-09-2209-06.

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Increasing the potential productivity of biocenoses and their resistance to abiotic stresses, as well as increasing the productive and environmental functions of ecosystems, is also an urgent task. The main direction of development of the strategy of even carp farms is considered to be the presence of a much larger number of additional fish. In modern conditions, the most important means of increasing the fish productivity of ponds and natural reservoirs can be considered the expansion of the range of bred fish, taking into account the available feed base and the level of biotechnics. The traditional set of fish, which is recommended to be included in the polyculture of the north-western regions for the fullest use of the feed base, is represented by the following fish: planktophages (peled), benthophages (chir, pyjian, carp, etc.), predators (pike perch, pike, trout, etc.), phyto-, zooplanktophages (white amur and motley carp), in some cases herbivorous (white cupid). Depending on the specific conditions, these or other objects are preferable. For example, in the fertilized lakes of the north-west, the main species feeding in pelagial is considered to be pelage, but it is better that this zone is mastered by silver carp, which is also a filter of phytoplankton and detritus (they make up 80–90% of the food lump). It is better than peled to master the nectobentos of the Chudsky whitefish, muksun and hybrids of peled with chir. Along with whitefish, it is advisable to grow carp or crucian carp in shallow lakes. Depending on the composition of the native ichthyofauna, which plays an essential role in the biocenosis, a polyculture may consist of a less familiar set of fish. Reservoirs built on peat workings of low-lying swamps are quite suitable for growing fish in polyculture: carp, tench, white amur, mottled and white carp, golden and silver carp, pike, walleye and even under particularly favorable conditions — trout and whitefish.

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43

Dempster, T., P. Sanchez-Jerez, I. Uglem, and P. A. Bjørn. "Species-specific patterns of aggregation of wild fish around fish farms." Estuarine, Coastal and Shelf Science 86, no. 2 (January 2010): 271–75. http://dx.doi.org/10.1016/j.ecss.2009.11.007.

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44

Abou-Taleb, Mohamed, Abdelrahman S. Talab, Mohamed A. Ibrahim, Maha E. Genina, Fify R. Anees, Mostafa M. Mahmoud, and Shimaa M. Abou-Taleb. "Frozen fish chips properties processed from some economic underutilized fish species." Egyptian Journal of Aquatic Biology and Fisheries 23, no. 3 (September 20, 2019): 493–502. http://dx.doi.org/10.21608/ejabf.2019.51639.

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45

Karami, Ali, Peyman Eghtesadi Araghi, Mohd Arif Syed, and Scott P. Wilson. "Chromosome preparation in fish: effects of fish species and larval age." International Aquatic Research 7, no. 3 (May 12, 2015): 201–10. http://dx.doi.org/10.1007/s40071-015-0104-z.

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46

Neti, Girija, and Hartmut Rehbein. "Fish species identification by fish muscle dry powder as reference material." Journal of the Science of Food and Agriculture 46, no. 1 (1988): 81–91. http://dx.doi.org/10.1002/jsfa.2740460109.

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47

Agostinho, Carlos Sérgio, Angelo Antônio Agostinho, Fernando Pelicice, Deusimar Augusto de Almeida, and Elineide Eugênio Marques. "Selectivity of fish ladders: a bottleneck in Neotropical fish movement." Neotropical Ichthyology 5, no. 2 (2007): 205–13. http://dx.doi.org/10.1590/s1679-62252007000200015.

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Although dozens of fish ladders have been constructed at dams of Brazilian reservoirs, there are few studies evaluating their efficiency as a tool for the conservation of Neotropical ichthyofauna, especially for migratory species. Therefore, the present study evaluated the selectivity of the species that entered and ascended the fish ladder located next to Lajeado Dam (Luis Eduardo Magalhães Hydroelectric Power Plant) on the Tocantins River. Samples were taken monthly from November, 2002 through October, 2003, in the resting pools of the ladder, using cast nets, and in the downstream stretch, using gillnets. The selectivity of the ladder in attracting fish was evaluated by comparing the occurrence, relative abundance, dominance and the congruence of abundance ranks of migratory and non-migratory species in the ladder and in the stretch of river immediately downstream. Species richness and fish abundance in the resting pools were used to evaluate selectivity along the ladder. The effects on selectivity by temporal variations in water level downriver and maximum flow velocity in the fish ladder were also analyzed. Out of the 130 species recorded downriver, 62.3% were caught in the ladder, and migratory species were clearly favored. However, more than 2/3 of the catch belonged to only three species (Rhaphiodon vulpinus, Psectrogaster amazonica and Oxydoras niger). Although the majority of the species that entered the ladder were able to reach its top, there was a sharp reduction in abundance of individuals towards the top. Temporal variations in the water level below the dam influenced richness and abundance of fish concentrated downstream and in the ladder, with lower values during periods of low water. In the ladder, a maximum flow velocity of 2.3 m/s, although also selective, proved to be more appropriate for fish ascension than a velocity of 2.8 m/s. It was concluded that the entry and ascension of the fish in the ladder were not congruent with their proportions in the downriver stretch: fish samples in the ladder were clearly dominated by a few species, including some that do not need to be translocated. Thus, selectivity constitutes an important bottleneck to initiatives for translocating fish aimed at conserving their stocks or biodiversity. It is urgent to review the decision-making process for the construction of fish passages and to evaluate the functioning of those already operating.

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Zaman, M., and MN Naser. "Fish species using the fish passage between Jamuna and Bangali river at Sariakandi, Bogra." Journal of Biodiversity Conservation and Bioresource Management 5, no. 2 (January 15, 2020): 53–62. http://dx.doi.org/10.3329/jbcbm.v5i2.44914.

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Sariakandi fish pass is unique connecting Jamuna and Bangali rivers through an engineered channel. A study was conducted on the fish pass aiming to improve fish diversity in north-west Bangladesh. Sampling at the fish pass, market census, interviewing the locals and focus group discussion were done to collect data from the study area. A total of 69 fish species under 9 orders and 26 families were recorded. Cypriniformes (22 species) was the most dominant order followed by Siluriformes (21 species), Perciformes (13 species), Clupeiformes (4 species), Synbranchiformes (4 species), Osteoglossiformes (2 species), Mugiliformes (1 species), Anguilliformes (1 species) and Tetraodontiformes (1 species). In total 30 threatened species in Bangladesh and globally recognized 9 species were recorded. This fish pass is not working during the dry or winter seasons but helps in the diversified fish migration diversity of Bengali and Jamuna river system during the flood time of Bangladesh. The present study recommends establishing effective fish passages in flood protection structures or dams in Bangladesh to retain the connectivity of fish migration routes and the improving of fish diversity. J. Biodivers. Conserv. Bioresour. Manag. 2019, 5(2): 53-62

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da Silva, Victor E. L., and Nidia N. Fabré. "Rare Species Enhance Niche Differentiation Among Tropical Estuarine Fish Species." Estuaries and Coasts 42, no. 3 (January 28, 2019): 890–99. http://dx.doi.org/10.1007/s12237-019-00524-2.

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Ali, Najib M., Haris A. Khan, Amy Y.-Hui Then, Chong Ving Ching, Manas Gaur, and Sarinder Kaur Dhillon. "Fish Ontology framework for taxonomy-based fish recognition." PeerJ 5 (September 15, 2017): e3811. http://dx.doi.org/10.7717/peerj.3811.

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Life science ontologies play an important role in Semantic Web. Given the diversity in fish species and the associated wealth of information, it is imperative to develop an ontology capable of linking and integrating this information in an automated fashion. As such, we introduce the Fish Ontology (FO), an automated classification architecture of existing fish taxa which provides taxonomic information on unknown fish based on metadata restrictions. It is designed to support knowledge discovery, provide semantic annotation of fish and fisheries resources, data integration, and information retrieval. Automated classification for unknown specimens is a unique feature that currently does not appear to exist in other known ontologies. Examples of automated classification for major groups of fish are demonstrated, showing the inferred information by introducing several restrictions at the species or specimen level. The current version of FO has 1,830 classes, includes widely used fisheries terminology, and models major aspects of fish taxonomy, grouping, and character. With more than 30,000 known fish species globally, the FO will be an indispensable tool for fish scientists and other interested users.

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