23,086 research outputs found
Report on Lake Wamala fisheries catch assessment survey 2012
No full textLake Wamala is one of the small lakes in Uganda, and lies between latitudes 0o 15; and 0o 25' N 31o 45' to longitude 32o 00' E, longitude and at an altitude of 1000m above sea level. Following ths 1961 heavy rains the lake expanded from about 100 to 118 sq. km and the swamps covered almost 60 sq km (Okaranon 1993). This lake was first stocked with Oreohromis niloticus eduardianus populary known as Oreohromis niloticus then Oreochromis leucostictus and then Tilapia zillii then after that it was officially opened for commercial fishing in 1960. Despite of the commercial fishery there used to be subsistance fishing that was mainly by the use of wires and hooks and targeted the Clarias and Protopterus species. The lake fishery used to be highly profitable after the opening in 1960; though in 1970s the fishers started complaining of the declining state of the fishery. At that time the O. niloticus had gone down to less than 1 kg per net per night by 1975(Okaranon 1993). Due to it led to scientists undertake fisheries surveys in 1975/78 and later 1988/92 then later on there subsquent survey in 2003. Since that time there has been no work done until March 2012 that both catch assessment and frame surveys undertaken to ensure that management issues are addressed concerning this riparian water body. The main objectives of the survey were:-To assess fish production levels in the commercial fisheries of Lake Wamala (Catch Assessment).To assess the fishing effort and facilities available at the fish landings that supports the fisher folks
A spatially explicit capture-recapture estimator for single-catch traps
No full textThis work was part-funded by EPSRC grant EP/I000917/1.1. Single-catch traps are frequently used in live-trapping studies of small mammals. Thus far a likelihood for single-catch traps has proven elusive and usually the likelihood for multi-catch traps is used for spatially explicit capture-recapture (SECR) analyses of such data. Previous work found the multi-catch likelihood to provide a robust estimator of average density. 2. We build on a recently developed continuous-time model for SECR to derive a likelihood for single-catch traps. We use this to develop an estimator based on observed capture times and compare its performance by simulation to that of the multi-catch estimator for various scenarios with non-constant density surfaces. 3. While the multi-catch estimator is found to be a surprisingly robust estimator of average density, its performance deteriorates with high trap saturation and increasing density gradients. Moreover, it is found to be a poor estimator of the height (but not range) of the detection function. By contrast, the single catch estimators of density, distribution and detection function parameters are found to be unbiased or nearly unbiased in all scenarios considered. This gain comes at the cost of higher variance, so that despite the lower bias of the single-catch estimator of the density surface over space, its root mean squared error is similar to that of the multi-catch estimator. 4. If there is no interest in interpreting the detection function parameters themselves, and if density is expected to be fairly constantover the survey region, then the multi-catch estimator performs well with single-catch traps. However if accurate estimation of the detection function is of interest, or if density is expected to vary substantially in space, then there is merit in using the single-catch estimator when trap saturation is above about 60%. The estimator’s performance is improved if care is taken to place traps so as to span the range of variables that affect animal distribution. As a single-catch likelihood with unknown capture times remains intractable for now, researchers using single-catch traps should aim to incorporate timing devices with their traps.Peer reviewe
Catch the King Tide 2025: All King Tide Data
No full textAssociated Publications
Loftis, J.D. and Katragadda, S. (2025). Best Practices for Flood Model Validation using Community Science. 2025 ESRI User Conference Session 1467, 104653. URL
Loftis, J.D. (2022). Exploring Latent Verification Methods for Inundation Forecasting Models through Remote Sensing Networks and Community Science. Oceans 2022 MTS/IEEE Hampton Roads, IEEE. DOI
Mulholland, M.R., Macías-Tapia, A., and Loftis, J.D. (2022). Water quality impacts from tidal flooding in Southern Chesapeake Bay. Oceans 2022 MTS/IEEE Hampton Roads, IEEE. DOI
Rawat, P., Anuar, K.A., Yusuf, J.E.W., Loftis, J.D., and Blake, R.N. (2021). Communicating and co-producing information with stakeholders Examples of participatory mapping approaches related to sea-level rise risks and impacts. Communicating Climate Change: Making Environmental Messaging Accessible, Routledge, p. 79-96. DOI | Book DOI
Loftis, J.D., Mitchell, M., Schatt, D., Forrest, D.R., Wang, H.V., Mayfield, D., and Stiles, W.A. (2019). Validating an Operational Flood Forecast Model Using Citizen Science in Hampton Roads, VA, USA. Journal of Marine Science and Engineering. 7, 242. DOI"Catch the King" is a community science GPS flood extent mapping effort centered in Tidewater Virginia, USA, that seeks to map the King Tide's maximum inundation extent with the goal of validating and improving inundation prediction models like the Virginia Institute of Marine Science’s Tidewatch Map (https://cmap2.vims.edu/SCHISM/TidewatchViewer.html). This 36-hour storm tide inundation forecast model is based on the Center for Coastal Resources Management’s open-source SCHISM hydrodynamic model’s operational outputs, updated every 12 hours at noon and midnight (EST). Timestamped GPS-reported high water marks were collected by volunteers to effectively trace the high water line by pressing the 'Save Data' button in the free Sea Level Rise mobile app (available on iOS and Android) in regular intervals along the water's edge.
Catch the King was founded as a collaborative effort to give members of the public an opportunity to engage personally in climate change adaptation. While the development of the Sea Level Rise app was led by Wetlands Watch and local tech company, Open Health Innovations (formerly Concursive), the idea for creating a statewide program stems from the creative minds of Wetlands Watch’s former Executive Director, Skip Stiles, retired Virginian-Pilot reporter, Dave Mayfield, and Virginia Institute of Marine Science (VIMS) assistant professor, Dr. Derek Loftis. Throughout the year, trained tidal flood mappers use the free Sea Level Rise mobile application (iOS / Android) developed by Wetlands Watch and Open Health Innovations (formerly Concursive) to walk the high water lines in public spaces near them to digitally trace GPS contours of the maximum extent of tidal flood waters. These data are shared publicly after the end of the mapping event and used as a public annual tidal calibration for the forecast predictions generated from VIMS' Tidewatch Map. Annually, a live tidal calibration of the forecasts driven from the Center for Coastal Resources Management's SCHISM hydrodynamic model (developed by Dr. Joseph Zhang) is conducted by the trained participatory scientists engaged with Catch the King, and analyzed by Dr. Loftis at VIMS. Catch the King 2025 took take place on the weekend of October 10-12, 2025, during some of the highest astronomical tides of the year, which were harmonically forecasted to be 3.22-3.63 ft. above MLLW at Sewells Point in Norfolk, VA. The king tide took place at many different times and occurred at different peak amplitudes throughout the Commonwealth of Virginia's coastal region, yet each was forecasted to be the highest tides of the year for those areas.
Catch the King 2025 had 167 volunteers map 27,120 high water marks using Wetlands Watch's Sea Level Rise App during the king tides on October 10-12. The volunteer breakdown for Catch the King in 2025 revealed that the most GPS data points (by region; 6,892 pins) were mapped by 35 community scientists in Virginia Beach. Tied by number of volunteer flood mappers, Norfolk (35 mappers) collected the second-most high water marks, with 5,963, in terms of total mapped GPS flooding extents. VA's Middle Peninsula region collected the third-greatest quantity of data across a very wide area with the help of 29 volunteers mapping 4,433 high water marks throughout the king tide weekend. Here is a daily breakdown of data collected during the 2025 Catch the King Tide Weekend:
36 people mapped early, from October 6-9, documenting 4,765 GPS maximum flood extents and captured 124 time stamped geotagged pictures
61 people on Friday, October 10, mapped 7,395 GPS maximum flood extents and captured 341 time stamped geotagged pictures
77 people on Saturday, October 11, mapped 7,139 GPS maximum flood extents and captured 211 time stamped geotagged pictures
64 people on Sunday, October 12, mapped 7,821 GPS maximum flood extents and captured 200 time stamped geotagged picturesVolunteers of 'Catch the King' Tide 2025 freely collected this dataset using the Sea Level Rise mobile application developed by Wetlands Watch and Concursive, Inc. Catch the King 2025 was sponsored by the Hampton Roads Sanitation District and AECOM, and Catch the King 2025 was graciously granted media support by WHRO Public Media, The Virginian-Pilot, the Daily Press, and the Commonwealth Center for Recurrent Flooding Resiliency. Volunteer coordination and training of community scientists was orchestrated/managed by Stephanie Letourneau at Wetlands Watch and a dedicated team of tide captains and teachers. GPS volunteer data were shared with W&M/VIMS for public dissemination via Concursive, Inc. and some schools and volunteers directly
Team perfectionism and team performance: A prospective study
No full textPerfectionism is a personality characteristic that has been found to predict sports performance in athletes. To date, however, research has exclusively examined this relationship at an individual level (i.e., athletes’ perfectionism predicting their personal performance). The current study extends this research to team sports by examining whether, when manifested at team level, perfectionism predicts team performance. A sample of 231 competitive rowers from 36 boats completed measures of self-oriented, team-oriented, and team-prescribed perfectionism prior to competing against one another in a 4-day rowing competition. Strong within-boat similarities in the levels of team members’ team-oriented perfectionism supported the existence of collective team-oriented perfectionism at the boat level. Two-level latent growth curve modeling of day-by-day boat performance showed that team-oriented perfectionism positively predicted the position of the boat in mid-competition and the linear improvement in position. The findings suggest that imposing perfectionistic standards on team members may drive teams to greater levels of performance
Report of an independent peer review of A forest management strategy for the proposed Coquille Forest submitted to the Coquille Indian Tribe by the Independent Scientific Advisory Team (ISAT)
No full text"[T]he [Coquille Indian] Tribe requested that the State of Oregon assemble a team of independent scientists to peer review the forest management strategy proposed by the ISAT. The purpose of the independent peer review would be to: 1) assess the degree to which the two major goals assigned by the Tribe are met by the proposed ISAT forest management strategy, 2) validate the scientific soundness of the proposed strategy, 3) identify any gaps in the strategy or components not adequately addressed, and 4) make recommendations to correct deficiencies or to make improvements in the strategy. In response to the Tribe's request, the Governor's Office of Natural Resources assembled a team of independent peer reviewers and structured the process by which the review would be accomplished. The results of the IPR were presented to the ISAT in a conference open to the public which was held on November 21, 1995 at the LaSells Stewart Center, Oregon State University. Following is a consolidated report of major conclusions and recommendations presented by the independent reviewers to the ISAT at the November 21 public forum. This information also reflects key points contained in written reports prepared by IPR team members"--Page 2.Introduction -- Presentation by Independent Peer Review Team to the ISAT -- Independent Peer Reviewers (IPR) -- Introduction to the IPR process -- The "nine questions" and their answers -- Does the review team generally support the strategy of the proposed Coquille Forest -- Does the strategy meet the goals of the Northwest Forest Plan (NFP)? -- Is the adaptive management approach described in the strategy adequate? -- Is the monitoring approach described in the strategy? -- Is the strategy generally consistent with scientific knowledge? -- Are Northern spotted owls and riparian species adequately considered? -- Are aquatic species adequately considered? -- Are future natural disturbances adequately planned for in the strategy? -- Does the strategy meet Tribal goals? -- Overall comments -- Preliminary response by ISAT -- Response by the Coquille Indian Tribe -- Individual Independent Peer Reviewer reports / submitted by Peter Bisson, Bernard Bormann, Larry Davis, Walt Knapp, Jim Rochelle -- November 21, 1995 conference brochure ; list of conference attendeessubmitted to the State of Oregon Governor's Office of Natural Resources by the Independent Peer Review TeamThis archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposesElectronic reproduction Salem, Or. State Library of Oregon 2023 Electronic reproduction from print version OrMode of access: Internet from the Oregon Government Publications CollectionText in Englis
Catch The Tiger
No full textBut this is no ordinary game. Designed to test how we react to changes in our environment, and to our own fluctuating anxiety levels, it is a multi-sensory physical game that you will experience with four other players.
Played in the visually striking “Tiger Room”, the game is inspired by a traditional Chinese puzzle, combined with geometry informed by George Hart’s mathematical study of orderly tangles.
Hosted within the National Facility for Human-Robot Interaction Research, Catch the Tiger is a collaboration between acclaimed architects Supermanoeuvre and researchers from the UNSW Creative Robotics Lab, the University of Sydney, Waseda University and the Black Dog Institute.
Total time required is approximately 40 minutes. The game requires 5 people to play. Register individually and play with others or sign up with 4 friends.
The Team
Original concept: Iain (Max) Maxwell (Supermanoeuvre) and Mari Velonaki (Creative Robotics Lab, UNSW).
Puzzle design and manufacture: Iain (Max) Maxwell and Oliver Bennett (Supermanoeuvre).
Game and interface design: Mari Velonaki (Creative Robotics Lab, UNSW).
Sound design and composition: Alex Davies (Creative Robotics Lab, UNSW).
Hardware and software design and implementation: David Rye (Australian Centre for Field Robotics, University of Sydney), Michael Gratton (Creative Robotics Lab and Computer Science and Engineering, UNSW) and Andrew Haig.
Experiment design/psychology: Katsumi Watanabe (Waseda University).
Mental health design advisory: Katherine Boydell (Black Dog Institute) and Jill Bennett (National Institute of Experimental Art, UNSW).
Commissioned by: Jill Bennett (National Institute of Experimental Art, UNSW).
Hosted by: The National Facility for Human-Robot Interaction Research.
Festival Commission
This project has been assisted by the Australian government through the Department of Communication and the Arts’ Catalyst—Australian Arts and Culture Fund
Observations on the catch assessment activities being undertaken by the ADP team on Lakes Kyoga and Kwania
No full textThis report specifically describes the trip that was made toLakes Kyoga and Kwania with the ADP Survey team based in Jinja. The aim was for the author to acquaint himself with the Catch Asessment Survey activities presently being undertaken on these lakes by the ADP team. Consequently, in this report, observations on these activities and appraisal of the problems pertaining to statistical data collection on these lake systems will be tackled
Observations on the catch assessment activities being undertaken by the ADP team on Lakes Kyoga and Kwania
No full textThis report specifically describes the trip that was made to
Lakes Kyoga and Kwania with the ADP Survey team based in Jinja. The aim was for the author to acquaint himself with the Catch Asessment Survey activities presently being undertaken on these lakes by the ADP team. Consequently, in this report, observations on these activities and appraisal of the problems pertaining to statistical data collection on these lake systems will be tackled
Jack-Mackerel stock assessment simulation
No full textIMARES has been tasked to perform an ICA assessment on a simulated Jack Mackerel dataset. This in order to provide management advice within the SPRFMO framework. The results of the assessments are only briefly discussed, as the Assessment Simulation Task Team mainly focused on agreeing on the underlying simulated dataset and assessment settings during the 8th SPRFMO meeting in Auckland, New Zealand. The summarized outcome of these discussions was that more realistic characteristics of the real fishery and surveys should be incorporated into the simulated dataset. This has been communicated to the designer of the dataset and will result in a revised dataset. CVO (Centrum voor Visserij Onderzoek) has proposed to include the SPRFMO work in the near future into WOT tasks (Wettelijke Onderzoeks Taken). Early 2010 another meeting will be organized in which the Assessment Simulation Task Team will discuss the revised simulated datasets, discuss general assessment settings, perform assessments, compare and discuss these results. The results as listed in this report will be used within these discussions
1975 Chapman College Panthers baseball team member prepared to catch a ball
No full text1975 Chapman College Panthers baseball team member prepared to catch a ball.https://digitalcommons.chapman.edu/cu_athletics/1041/thumbnail.jp
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