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Dive into the research topics where Benjamin L. Richards is active.

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Featured researches published by Benjamin L. Richards.


Conservation Biology | 2012

Re-Creating Missing Population Baselines for Pacific Reef Sharks

Marc O. Nadon; Julia K. Baum; Ivor D. Williams; Jana M. McPherson; Brian J. Zgliczynski; Benjamin L. Richards; Robert E. Schroeder; Russell E. Brainard

Summary Abstract Sharks and other large predators are scarce on most coral reefs, but studies of their historical ecology provide qualitative evidence that predators were once numerous in these ecosystems. Quantifying density of sharks in the absence of humans (baseline) is, however, hindered by a paucity of pertinent time-series data. Recently researchers have used underwater visual surveys, primarily of limited spatial extent or nonstandard design, to infer negative associations between reef shark abundance and human populations. We analyzed data from 1607 towed-diver surveys (>1 ha transects surveyed by observers towed behind a boat) conducted at 46 reefs in the central-western Pacific Ocean, reefs that included some of the worlds most pristine coral reefs. Estimates of shark density from towed-diver surveys were substantially lower (<10%) than published estimates from surveys along small transects (<0.02 ha), which is not consistent with inverted biomass pyramids (predator biomass greater than prey biomass) reported by other researchers for pristine reefs. We examined the relation between the density of reef sharks observed in towed-diver surveys and human population in models that accounted for the influence of oceanic primary productivity, sea surface temperature, reef area, and reef physical complexity. We used these models to estimate the density of sharks in the absence of humans. Densities of gray reef sharks (Carcharhinus amblyrhynchos), whitetip reef sharks (Triaenodon obesus), and the group “all reef sharks” increased substantially as human population decreased and as primary productivity and minimum sea surface temperature (or reef area, which was highly correlated with temperature) increased. Simulated baseline densities of reef sharks under the absence of humans were 1.1–2.4/ha for the main Hawaiian Islands, 1.2–2.4/ha for inhabited islands of American Samoa, and 0.9–2.1/ha for inhabited islands in the Mariana Archipelago, which suggests that density of reef sharks has declined to 3–10% of baseline levels in these areas. Resumen Los tiburones y otros depredadores mayores son escasos en la mayoría de los arrecifes de coral, pero estudios de su ecología histórica proporcionan evidencia cualitativa de que los depredadores una vez fueron numerosos en estos ecosistemas. Sin embargo, la cuantificación de la densidad de tiburones en ausencia de humanos (línea de base) es obstaculizada por la falta de datos de series de tiempo pertinentes. Recientemente, los investigadores han utilizado muestreos visuales submarinos, de extensión espacial limitada o de diseño no estándar, para inferir asociaciones negativas entre la abundancia de tiburones de arrecife y las poblaciones humanas. Analizamos datos de 1607 muestreos por remolque de buzos (transectos >1ha muestreados por observadores remolcados por una lancha) realizados en 46 arrecifes en el Océano Pacífico centro-occidental, arrecifes que incluyeron algunos de los más prístinos del mundo. Las estimaciones de densidad de tiburones fue sustancialmente menor (<10%) que estimaciones publicadas a partir de muestreos a lo largo de transectos pequeños (<0.02 ha), lo cual no es consistente con las pirámides de biomasa invertidas (la biomasa de depredadores es mayor que la biomasa de presas) reportadas para arrecifes prístinos por otros autores. Examinamos la relación entre la densidad de tiburones de arrecife observados en los muestreos por remolque de buzos y la población humana en modelos y consideramos la influencia de la productividad oceánica primaria, la temperatura de la superficie del mar, la superficie del arrecife y su complejidad física. Utilizamos estos modelos para estimar la densidad de tiburones en ausencia de humanos. Las densidades de Carcharhinus amblyrhynchos, Triaenodon obesus y el grupo de “tiburones estrictamente arrecifales” incrementó sustancialmente a medida que disminuyó la población humana y que incrementó la productividad primaria y la temperatura de la superficie del mar (o superficie del arrecife, que estaba altamente correlacionada con la temperatura. Las densidades basales simuladas de tiburones arrecifales en ausencia de humanos fueron 1.1–2.4/ha para las Islas Hawaianas, 1.2–2.4/ha en islas deshabitadas de Samoa Americana y 0.9–2.1/ha e islas deshabitadas del Archipiélago Mariana, lo que sugiere que la densidad de tiburones arrecifales ha declinado entre 3 -10% en relación con los niveles basales en esas áreas.


Journal of Marine Biology | 2011

Differences in reef fish assemblages between populated and remote reefs spanning multiple archipelagos across the central and western Pacific

Ivor D. Williams; Benjamin L. Richards; Stuart A. Sandin; Julia K. Baum; Robert E. Schroeder; Marc O. Nadon; Brian J. Zgliczynski; Peter Craig; Jennifer L. McIlwain; Russell E. Brainard

Comparable information on the status of natural resources across large geographic and human impact scales provides invaluable context to ecosystem-based management and insights into processes driving differences among areas. Data on fish assemblages at 39 US flag coral reef-areas distributed across the Pacific are presented. Total reef fish biomass varied by more than an order of magnitude: lowest at densely-populated islands and highest on reefs distant from human populations. Remote reefs (<50 people within 100 km) averaged ~4 times the biomass of “all fishes” and 15 times the biomass of piscivores compared to reefs near populated areas. Greatest within-archipelagic differences were found in Hawaiian and Mariana Archipelagos, where differences were consistent with, but likely not exclusively driven by, higher fishing pressure around populated areas. Results highlight the importance of the extremely remote reefs now contained within the system of Pacific Marine National Monuments as ecological reference areas.


PLOS ONE | 2012

Environmental Factors Affecting Large-Bodied Coral Reef Fish Assemblages in the Mariana Archipelago

Benjamin L. Richards; Ivor D. Williams; Oliver J. Vetter; Gareth J. Williams

Large-bodied reef fishes represent an economically and ecologically important segment of the coral reef fish assemblage. Many of these individuals supply the bulk of the reproductive output for their population and have a disproportionate effect on their environment (e.g. as apex predators or bioeroding herbivores). Large-bodied reef fishes also tend to be at greatest risk of overfishing, and their loss can result in a myriad of either cascading (direct) or indirect trophic and other effects. While many studies have investigated habitat characteristics affecting populations of small-bodied reef fishes, few have explored the relationship between large-bodied species and their environment. Here, we describe the distribution of the large-bodied reef fishes in the Mariana Archipelago with an emphasis on the environmental factors associated with their distribution. Of the factors considered in this study, a negative association with human population density showed the highest relative influence on the distribution of large-bodied reef fishes; however, depth, water temperature, and distance to deep water also were important. These findings provide new information on the ecology of large-bodied reef fishes can inform discussions concerning essential fish habitat and ecosystem-based management for these species and highlight important knowledge gaps worthy of additional research.


Sensors | 2017

The Modular Optical Underwater Survey System

Ruhul Amin; Benjamin L. Richards; William Misa; Jeremy C. Taylor; Dianna R. Miller; Audrey Rollo; Christopher Demarke; Hanumant Singh; Grace C. Young; Jeremy Childress; Justin Ossolinski; Russell T. Reardon; Kyle Koyanagi

The Pacific Islands Fisheries Science Center deploys the Modular Optical Underwater Survey System (MOUSS) to estimate the species-specific, size-structured abundance of commercially-important fish species in Hawaii and the Pacific Islands. The MOUSS is an autonomous stereo-video camera system designed for the in situ visual sampling of fish assemblages. This system is rated to 500 m and its low-light, stereo-video cameras enable identification, counting, and sizing of individuals at a range of 0.5–10 m. The modular nature of MOUSS allows for the efficient and cost-effective use of various imaging sensors, power systems, and deployment platforms. The MOUSS is in use for surveys in Hawaii, the Gulf of Mexico, and Southern California. In Hawaiian waters, the system can effectively identify individuals to a depth of 250 m using only ambient light. In this paper, we describe the MOUSS’s application in fisheries research, including the design, calibration, analysis techniques, and deployment mechanism.


Archive | 2016

Stock assessment updates of the bottomfish management unit species of American Samoa, the Commonwealth of the Northern Mariana Islands, and Guam in 2015 using data through 2013

Annie Yau; Marc O. Nadon; Benjamin L. Richards; Jon Brodziak; Eric Fletcher

In this report, we conduct a strict stock assessment update of the Bottomfish Management Unit Species (BMUS) in Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands using the same base case production model as used in the previous stock assessment (Brodziak et al. 2012), but with an additional 3 years of catch and nominal CPUE as input data. A Bayesian statistical framework is applied to estimate parameters of a production model fit to a time series of annual CPUE statistics to provide direct estimates of parameter uncertainty for status determination. The surplus production model includes both process error in biomass production dynamics and observation error in the catch-per-unit effort data. Overall, the American Samoa, the Commonwealth of the Northern Mariana Islands, and the Guam bottomfish complexes were not overfished (overfished is defined as B<0.7*BMSY) and were not experiencing overfishing (overfishing is defined as H>HMSY) in 2013, the most recent year of the stock assessment estimates. We conducted stock projections for 2016 and 2017, which projected a range of hypothetical twoyear catches and calculated corresponding risks of overfishing. For the American Samoa BMUS complex, the 2016 catch level that would produce a 50% risk of overfishing in 2016 was 137 thousand pounds. For the Commonwealth of the Northern Mariana Islands BMUS complex, the 2016 catch level that would produce a 50% risk of overfishing in 2016 was 304 thousand pounds. For the Guam BMUS complex, the 2016 catch level that would produce a 50% risk of overfishing in 2016 was 82 thousand pounds. All of these catch values associated with a 50% risk of overfishing in 2016 are much higher than actual bottomfish landings in 2013 for American Samoa, the Commonwealth of the Northern Mariana Islands, and Guam which were 23,630, 22,510, and 29,848 pounds, respectively.


Bulletin of Marine Science | 2011

A towed-diver survey method for mesoscale fishery-independent assessment of large-bodied reef fishes

Benjamin L. Richards; Ivor D. Williams; Marc O. Nadon; Brian J. Zgliczynski


Journal of Experimental Marine Biology and Ecology | 2016

Evaluating the effect of soak time on bottomfish abundance and length data from stereo-video surveys

William Misa; Benjamin L. Richards; Gerard DiNardo; Christopher Kelley; Virginia N. Moriwake; Jeffrey C. Drazen


Archive | 2016

Design and implementation of a bottomfish fishery-independent survey in the main Hawaiian Islands

Benjamin L. Richards; Steven G. Smith; Jerald S. Ault; Gerard DiNardo; Donald R. Kobayashi; Reka Domokos; Jeffrey L. Anderson; Jeremy C. Taylor; William Misa; Louise Giuseffi; Audrey Katharina Rollo; Daniel Merritt; Jeffrey C. Drazen; M. E. Clarke; Clayward K. M. Tam


Archive | 2018

Towards Fishery-independent Biomass Estimation for Hawaiian Deep 7 Bottomfish

Jerald S. Ault; Steven G. Smith; Benjamin L. Richards; Annie Yau; Brian Langseth; Robert L. Humphreys; Christofer H. Boggs; Gerard DiNardo


Fisheries Research | 2018

Towards fishery-independent biomass estimation for Hawaiian Islands deepwater snappers

Jerald S. Ault; Steven G. Smith; Benjamin L. Richards; Annie J. Yau; Brian Langseth; Joseph M. O’Malley; Christofer H. Boggs; Michael P. Seki; Gerard DiNardo

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Gerard DiNardo

National Marine Fisheries Service

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Ivor D. Williams

National Oceanic and Atmospheric Administration

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Marc O. Nadon

Joint Institute for Marine and Atmospheric Research

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William Misa

Joint Institute for Marine and Atmospheric Research

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Brian Langseth

National Marine Fisheries Service

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Christofer H. Boggs

National Marine Fisheries Service

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Jeremy C. Taylor

National Oceanic and Atmospheric Administration

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Jon Brodziak

National Marine Fisheries Service

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