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The study was conducted from November 2010 through February 2011 and between November 2011 and January 2012 on shallow (~1 m below the surface at low tide, equal or shallower than 2 m at high tide), intertidal fringing reefs platforms (up to 800-m wide) along the Coral Coast (18\u00ba\u00a013.05\u2019S, 177\u00ba\u00a042.97\u2019E) of Viti Levu, Fiji\u2019s main island. Many of the owners of traditional fishing rights along the Coral Coast have established small, customary no-take MPAs to improve and sustain their adjacent fishing grounds. The MPAs in this region are delimited by surface markings and enforced by local villagers, and they have been closed to all fishing activities since their inception (about 10 years). The only exception to this closure was a small experimental hook and line fishing research project that was conducted in the MPAs of Votua and\u00a0Namada. In the\u00a0non-MPAs, the main fishing targets are species of Acanthuridae (Nasinae), Epinephelidae, Labridae, Mullidae, and Lutjanidae. Permission for the research was granted by the Fijian Ministry of Education, National Heritage, Culture & Arts, Youth & Sports, which is authorized to approve field studies in Fijian waters. No animal collection or experimental procedures involving animals were conducted during the study, and no endangered species were recorded during our assessments.\u00a0<\/p>\n
To assess the effects of MPAs on fish assemblages, fish feeding group composition, herbivory rates, benthic cover, and coral recruit density, we compared three spatially paired MPA and adjacent, fished, areas (non-MPAs) associated with the villages of Votua,\u00a0Vatu-o-lalai\u00a0and\u00a0Namada.\u00a0 Comparisons of fish assemblages inside and outside of closures are widely used for determining the effects of reserves, but it should be acknowledged that this approach does not reveal the state of an MPA relative to an undisturbed baseline.\u00a0<\/p>\n
The studied MPAs were established in 2002 (Vatu-o-lalai,\u00a0Namada) and 2003 (Votua), and shortly after establishment, coral cover was low (~7%), and\u00a0macroalgal\u00a0cover was high (~35\u201345%) in both the MPAs and\u00a0non-MPAs. All surveys and assays were conducted during the same season (austral summer) to minimize seasonal variation in sampling. The reef extends approx. 1 km from shore within each MPA and\u00a0non-MPA,\u00a0and all data were collected between 30 and 700 m of the shore (i.e., shoreward of the reef crest) parallel to the\u00a0shoreline.<\/p>\n
Fish assemblages: <\/strong>Underwater visual censuses (UVC) were used to assess fish assemblages in MPAs and non-MPAs at the three village sites. Underwater visibility at all study sites (> 15 m) was appropriate for the use of UVC, but due to the visual limitations of this method, we did not consider cryptic species or species with a maximum total length < 5 cm. During our surveys, we categorized species into two major categories (Herbivores and Non-herbivores) that were subdivided into ten sub-categories. Herbivores <\/em>include the main roving nominally herbivorous fish clades, which play an important role in the control of benthic algae, and these species were further divided into four sub-categories (browsers, grazers, scrapers, and excavators) according to diet, feeding mode, and impact on the benthos. The category of Non-herbivores includes all species that feed on other, non-algal resources.<\/p>\n Separate 30m x 4m belt transects were performed for Herbivores and Non-herbivores. While simultaneously deploying the transect line, a snorkeler recorded all non-cryptic fishes (either Herbivores or Non-herbivores) within 2 m of either side of the transect. Individual fish were identified to species and placed into 5-cm (total length) size classes, and the lengths were converted to biomass using established length-weight relationships.\u00a0<\/p>\n Transects were conducted in each area within 2 h of high tide (approx. 1.5 m depth) and were equally distributed between the two sampling periods (Dec 2010\u2013Jan 2011 and Dec 2011\u2013Jan 2012), the months within each sampled year (December and January of each year). On each sampling day, four to six transects were deployed on the reef parallel to the shoreline, with a minimum of 10m between adjacent transects. To ensure that transects were independent and non-overlapping, small numbered surface floats were placed at the start and end of each transect, and were left in position during all sampling. Care was taken to avoid re-counting fishes that left and subsequently re-entered the transect areas. The initial starting point of the transects for each day was selected based on a map of the study sites with two <\/strong>constraints: (1) as to a minimum distance from shore\u00a0(at least 30 m), and a minimum distance from the MPA boundaries\u00a0<\/strong>(150 m).\u00a0<\/p>\n Density of coral recruits: <\/strong>To assess the effect of the MPAs on the replenishment of coral populations, the density of coral recruits on natural reef substrata was assessed at night during January and February 2011 using a fluorescence technique. Coral recruit counts were conducted along a series of 50-m long transects positioned parallel to shore, and a total of 18 transects (n = 9 MPA; n = 9 non-MPA) were performed at each of the three village sites (n = 54 transects total). Ten 25 cm x 30 cm rectangular quadrats were randomly placed along each transect with a minimum distance of 2 m between quadrats (540 plots total). Once a quadrat was deployed on the substratum, all coral recruits within the borders of the quadrat were counted.\u00a0<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/ocean-data.org\/schema\/hasBriefDescription":[{"@value":"Biomass and density of MPAs and non-MPAs in Fiji","@language":"en-US"}],"http:\/\/purl.org\/dc\/terms\/description":[{"@value":" Fiji MPA vs non-MPA corals, fishes, and herbivory. This dataset contains information on the biomass and density at six study sites.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/www.w3.org\/2000\/01\/rdf-schema#label":[{"@value":"Biomass and density data","@type":"xsd:string"}],"http:\/\/ocean-data.org\/schema\/hasProcessingDescription":[{"@value":" We used Generalized linear mixed models (GLMM) implemented under a Bayesian framework to test the effect of protection status (MPA vs. non-MPA) on the abundance and biomass of each subcategory of Herbivores and Non-herbivores at the three village sites. We used the same approach to test the effect of protection status on the number of individuals, biomass and diversity of species in the observed feeding groups. The models have a hierarchical structure where the protection status is nested within site. For abundance and biomass of Herbivores and Non-herbivores, we used a muti-response models where each subcategory is a separate response variable. Because we have several samples for the same site, transect and sampling day were included as random factors. For the richness and abundance model, we used a Poisson error structure given the nature of the data. For biomass and diversity data we used a Gaussian error structure. We performed separate analyses for Herbivores and Non-herbivores. We compared model fit against a benchmark model in which protection status was not included as a fixed effect using the Deviance information criterion (DIC). The MCMC used to sample the posterior distributions of effect sizes ran for 106\u00a0iterations and was sampled every 100 iterations (thinning = 100) after burn-in (5\u00d7105). We considered effect size significant when the 95% credible interval of the estimated posterior distributions of parameters did not include 0. We monitored chain mixing by checking the effective sample sizes (ESS) for fixed and random effects. We used inverse gamma priors for variance components. Exploratory analyses indicate that estimates for fixed effects were robust to prior selection. Outliers were removed prior to the GLMM analyses to reduce overdispersion, although analyses with and without the outliers yielded qualitatively similar results. We used the R package MCMCGLMM for all analyses based on GLMMs.<\/p>\n We compared benthic cover between MPAs and non-MPAs using three-way ANOVA, with village site (Votua, Vatu-o-lalai, and Namada), status (MPA and non-MPA) and year (2010\/2011 and 2011\/2012) as fixed factors. Separate ANOVAs were used to compare the percentage cover of four different substratum types (scleractinian corals, macroalgae, epilithic algal turfs and others). Benthic cover data were arcsine-transformed, and fish density and biomass data were log-transformed to meet assumptions of normality (frequency histograms). When differences were significant, the test was followed by specific planned comparisons between paired treatments (MPA vs non-MPA) at each village site. P-values were adjusted with the Holm-S\u00edd\u00e1k method, in which the adjusted p-value is equal to , where k refers to the number of comparisons.<\/p>\n The rates of grazing and browsing and the density of coral recruits were compared between MPAs and adjacent non-MPAs using two-way ANOVA with status (MPA and non-MPA) and village site (Votua, Vatu-o-lalai, and Namada) as fixed factors. Separate analyses were used to compare (1) parrotfish grazing rates, (2) macroalgal browsing rates, and (3) the number of coral recruits per quadrat (log-transformed). Holm-S\u00edd\u00e1k-adjusted paired comparisons were also used when differences were significant. ANOVAs for benthic cover, grazing and browsing rates, and density of coral recruits, as well as all graph plots in this manuscript, were programmed in R 3.0.1 using base package functions.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/purl.org\/dc\/terms\/identifier":[{"@value":"674116","@type":"xsd:int"}],"http:\/\/purl.org\/dc\/terms\/title":[{"@value":"Biomass and density data"}],"http:\/\/purl.org\/dc\/terms\/date":[{"@value":"2017-01-06T19:24:32-05:00","@type":"xsd:dateTime"}],"http:\/\/purl.org\/dc\/terms\/created":[{"@value":"2017-01-06T19:24:32-05:00","@type":"xsd:dateTime"}],"http:\/\/purl.org\/dc\/terms\/modified":[{"@value":"2023-07-07T16:10:26-04:00","@type":"xsd:dateTime"}],"http:\/\/rdfs.org\/ns\/void#inDataset":[{"@id":"http:\/\/www.bco-dmo.org\/"}],"http:\/\/ocean-data.org\/schema\/namedGraph":[{"@value":"urn:bcodmo:dataset:674116","@type":"xsd:token"}],"http:\/\/ocean-data.org\/schema\/osprey_page":[{"@id":"https:\/\/www.bco-dmo.org\/dataset\/674116"}],"http:\/\/ocean-data.org\/schema\/identifier":[{"@value":"_:Identifier674116"}],"http:\/\/ocean-data.org\/schema\/datasetTitle":[{"@value":"Biomass and density data from in and outside of an MPA in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project)","@language":"en-US"}],"http:\/\/ocean-data.org\/schema\/abstract":[{"@value":"Biomass and density data from in and outside of an MPA in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project)","@language":"en-US"}],"http:\/\/purl.org\/dc\/terms\/rights":[{"@id":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"http:\/\/ocean-data.org\/schema\/deprecated":[{"@value":"false","@type":"xsd:boolean"}],"http:\/\/ocean-data.org\/schema\/temporalExtent":[{"@value":"_:temporalExtent674116"}],"http:\/\/purl.org\/dc\/terms\/bibliographicCitation":[{"@value":"Hay, M. 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