Find research datasets worth reusing

FIG. 7 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 7. (A) The first meeting of the steering committee for the symposium on The Ontogeny and Systematics of Fishes, in honor of Elbert Ahlstrom, at Boulder, Colorado in 1982. From left to right: Sally Richardson, Michael Fahay, Arthur Kendall, Jr., William Richards, and Geoff Moser (Daniel Cohen, not in photo). (B) The steering committee for the symposium on The Ontogeny and Systematics of Fishes, in Miami, Florida in 1983. From left to right: Daniel Cohen, Sally Richardson, Michael Fahay, Geoff Moser, Arthur Kendall, Jr., and William Richards.

FIG. 9 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 9. (A) Jeff Leis, Dan Cohen, and Geoff Moser boarding a train for the field trip following the 1976 ASIH meeting in Fairbanks, Alaska. Photo courtesy Jeffrey Leis. (B) Geoff Moser and Bill Richards in Miami, Florida, 1997. (C) Larval-Fish Conference in Miami, 1986. Right to left: Jeff Govoni, Geoff Moser, and John Olney. Photo: George Boehlert.

FIG. 6 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 6. (A) The participants in the 1972 class on the identification of marine fish larvae that was taught by Geoff Moser and Elbert Ahlstrom in La Jolla (in the back row, left side). The students, not named in the order shown, included: Anne Naplin, Karl Niggol, and Kenneth Waldron (NMFS Seattle Laboratory); Thomas Kazama (NMFS Honolulu Laboratory); Thomas Potthoff and Edmond Metziger (NMFS Miami Laboratory); John Finucane (NMFS St. Petersburg Laboratory); Ruth Stoddard (NMFS Narragansett Laboratory); Sally Richardson and R. Gregory Lough (Oregon State University); Sara Guzman and Thalia Castro (Instituto Nacional de Pesca, Mexico); Richard Haight and Chester Mattson (NMFS Auke Bay Laboratory); Barbara Sumida (University of Hawaii); Elaine Sandknop, Mary Kalin, John Butler, and Elizabeth Stevens (NMFS La Jolla Laboratory). This was the first class that Geoff co-taught. (B) The international participants in the 1977 class on the identification of marine fish larvae that was taught by and Elbert Ahlstrom and Geoff Moser in La Jolla (in the back row, right side). The students, not named in the order shown, included: Olayinka Babalola (Nigerian Institute for Oceanography and Marine Research); Robert Behrstock (Humboldt State University); M. Elizabeth Clark and Pat Wagner (University of Alaska); Francois Conand (Centre ORSTOM, New Caledonia); César F. Coto (Centra de Ciencias del Mar y Limnologia, Mexico); C. B. Lalithambika Devi (Natonal Institute of Oceanography, Kerala, India); T. Saunders English, Leanne Legacie, and Bruce Miller (University of Washington); Doris Finan (NMFS Sandy Hook, New Jersey, Laboratory); Marta Gerritón (Departimento de Oceanología, Chile); F. Douglas Martin (University of Maryland); John Olney (Virginia Institute of Marine Science); Allyn Powell (NMFS Beaufort, North Carolina, Laboratory); D. A. Robertson (New Zealand Ministry of Agriculture and Fisheries); Bruce Stewart (Moss Landing Marine Laboratory, California); and John Tucker (North Carolina State University). This was the last class that Geoff cotaught with Elbert Ahlstrom.

FIG. 4 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 4. Geoff Moser (right) with Elbert ''Ahlie'' Ahlstrom (left) in 1972, taken for a San Diego newspaper article about the Wildlife Society recognition of Moser and Ahlstrom (1970).

FIG. 5 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 5. Geoff Moser in 1977 while co-teaching the larval-fish identification class with Elbert Ahlstrom at the NMFS SWFC, La Jolla.

FIG. 3 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 3. Herbert Perkins (left) and Geoff Moser (right) at the California Current Resources Laboratory of the U.S. Fish and Wildlife Service in 1962. Perkins worked with Fred Berry on midwater and other pelagic fishes collected in pioneering midwater trawl surveys off southern California (Berry and Perkins, 1965).

FIG. 2 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 2. Geoff and Pamela Moser in 1982 in Japan when Geoff was a visiting scientist at the Ocean Research Institute (now part of the Atmosphere and Ocean Research Institute), University of Tokyo. Photograph by Kouichi Kawaguchi.

FIG. 1 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 1. (A) The Ridley Park High School Dance Band in Geoff's senior year of high school (1955–1956). Geoff, on saxophone, is in the front row, far right. (B) The Pennsylvania All-Delaware County Football Team in 1955, of which Geoff Moser was part. Geoff is in the upper right, with his first name misspelled as ''Jeff.''

opencc-by-4.0Mar 2024View details →

IHH - Illuminating the multi-dimensional contributions of Small-scale Fisheries

<p>Publicly available data and codes for the paper "Illuminating the multi-dimensional contributions of small-scale fisheries" by Basurto et al. 2024 (Nature). To produce the main paper figure please go to: https://github.com/DanOvando/ihh_figs</p>

dryad32/100

Data from: Detection of outlier loci and their utility for fisheries management

Genetics-based approaches have informed fisheries management for decades, yet remain challenging to implement within systems involving recently diverged stocks or where gene flow persists. In such cases, genetic markers exhibiting locus-specific ("outlier") effects associated with divergent selection may provide promising alternatives to loci that reflect genome-wide ("neutral") effects for guiding fisheries management. Okanagan Lake kokanee (Oncorhynchus nerka), a fishery of conservation concern, exhibits two sympatric ecotypes adapted to different reproductive environments, however, previous research demonstrated the limited utility of neutral microsatellites for assigning individuals. Here, we investigated the efficacy of an outlier-based approach to fisheries management by screening >11,000 expressed sequence tags for linked microsatellites and conducting genomic scans for kokanee sampled across seven spawning sites. We identified eight outliers among 52 polymorphic loci that detected ecotype-level divergence, whereas there was no evidence of divergence at neutral loci. Outlier loci exhibited the highest self-assignment accuracy to ecotype (92.1%), substantially outperforming 44 neutral loci (71.8%). Results were robust among-sampling years, with assignment and mixed composition estimates for individuals sampled in 2010 mirroring baseline results. Overall, outlier loci constitute promising alternatives for informing fisheries management involving recently diverged stocks, with potential applications for designating management units across a broad range of taxa.

opencc-zeroDec 2010View details →

dryad32/100

Data from: Identifying fishing grounds from vessel tracks: model-based inference for small scale fisheries

Recent technological developments facilitate the collection of location data from fishing vessels at an increasing rate. The development of low-cost electronic systems allows tracking of small-scale fishing vessels, a sector of fishing fleets typically characterised by many, relatively small vessels. The imminent production of large spatial datasets for this previously data-poor sector, creates a challenge in terms of data analysis. Several methods have been used to infer the spatial distribution of fishing activities from positional data. Here, we compare five approaches using either vessel speed, or speed and turning angle, to infer fishing activity in the Scottish inshore fleet. We assess the performance of each approach using observational records of true vessel activity. Although results are similar across methods, a trip-based Gaussian mixture model provides the best overall performance and highest computational efficiency for our use-case, allowing accurate estimation of the spatial distribution of active fishing (97% of true area captured). When vessel movement data can be validated, we recommend assessing the performance of different methods. These results illustrate the feasibility of designing a monitoring system to efficiently generate information on fishing grounds, fishing intensity, or monitoring of compliance to regulations at a nationwide scale in near-real time.

opencc-zeroSep 2019View details →

dryad32/100

Data from: Bayesian inference reveals positive but subtle effects of experimental fishery closures on marine predator demographics

Global forage-fish landings are increasing, with potentially grave consequences for marine ecosystems. Predators of forage fish may be influenced by this harvest, but the nature of these effects is contentious. Experimental fishery manipulations offer the best solution to quantify population-level impacts, but are rare. We used Bayesian inference to examine changes in chick survival, body condition and population growth rate of endangered African penguins Spheniscus demersus in response to eight years of alternating time-area closures around two pairs of colonies. Our results demonstrate that fishing closures improved chick survival and condition, after controlling for changing prey availability. However, this effect was inconsistent across sites and years, highlighting the difficultly of assessing management interventions in marine ecosystems. Nevertheless, modelled increases in population growth rates exceeded 1% at one colony; i.e. the threshold considered biologically meaningful by fisheries management in South Africa. Fishing closures evidently can improve the population trend of a forage-fish dependent predator – we therefore recommend they continue in South Africa and support their application elsewhere. However, detecting demographic gains for mobile marine predators from small no-take zones requires experimental time-frames and scales that will often exceed those desired by decision-makers.

opencc-zeroDec 2016View details →

FIGURE 52 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 52. Salmo fahrettini, from top: holotype, FFR 3231, 232 mm SL; paratype, FFR 3233, 194 mm SL.

FIGURE 45 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 45. Seminemacheilus attalicus, from top: holotype, FFR 15566, 69.5 mm SL; paratype, FFR 15555, 86 mm SL.

FIGURE 43 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 43. Oxynoemacheilus sarus, from top: holotype, FFR 15584, 52.5 mm SL; paratype, FFR 15522, 53 mm SL.

FIGURE 42 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 42. Oxynoemacheilus nasreddini, from top: holotype, FFR 15588, 54 mm SL; paratype, FFR 15589, 53 mm SL.

FIGURE 41 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 41. Oxynoemacheilus muefiti, from top: holotype, FFR 15532, 70 mm SL; paratype, FFR 15522, 56 mm SL.

FIGURE 37 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 37. Oxynoemacheilus arsaniasus, from top: holotype, FFR 15530, 57 mm SL; paratype, FFR 15531, 54 mm SL.

FIGURE 39 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 39. Oxynoemacheilus cilicicus, from top: holotype, FFR 15579, 54 mm SL; paratype, FFR 15560, 53 mm SL.

FIGURE 50 in Illustrated type specimens catalogue of Recep Tayyip Erdogan University Zoology Museum of the Faculty of Fisheries

FIGURE 50. Salmo coruhensis, from top: holotype, FFR 3036, 291 mm SL; paratype, FFR 3037, 270 mm SL.