Linear mixed models were used to estimate the combined effect of the tidal and diel cycles on dugong residence time, and on the depth range dugongs occupied in each of the ecoregions previously identified. Individuals with less than 10 locations in an ecoregion were removed.
Residence time was log-transformed to satisfy the assumption for normality of residuals while considering that the variance of the error term increases with an increase in response values Models were fit with the nlme R package using a Maximum Likelihood method. Residuals were checked with standard diagnostic plots. Post-hoc tests on marginal means were run with Tukey corrections using the emmeans R package version 1.
Marginal R 2 and conditional R 2 were reported to assess the proportion of variance explained respectively by the fixed factors only, and by the combined fixed and random factors. Finally, the timing of excursions to the fore-reef shelf was specifically considered to assess the effect of the dial cycle on outwards and inwards movements pass the barrier reef. In order to assess the ecological relevance and novel patterns revealed by our habitat use model, predicted intensity of use was compared with dugong densities estimated from aerial surveys conducted around the main island of New Caledonia between and 7.
Intensity of use was predicted by our model over the gridded study area of resolution m and transformed with a square root function. The comparison of these predicted values with relative dugong density estimated at a resolution of 1.
Linear relationships between predicted intensity of use and relative density were estimated with Pearson coefficients. Data processing, analyses and mapping were conducted with the R software version 3. Guisan, A. Predicting species distributions for conservation decisions. Robinson, L. Pushing the limits in marine species distribution modelling: Lessons from the land present challenges and opportunities. Google Scholar. Yates, K. Outstanding challenges in the transferability of ecological models.
Trends Ecol. PubMed Google Scholar. Mayor, S. Habitat selection at multiple scales. Ecoscience 16 , — Mannocci, L. Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers. Sequeira, A. Transferring biodiversity models for conservation: Opportunities and challenges. Methods Ecol. Cleguer, C.
Spatial mismatch between marine protected areas and dugongs in New Caledonia. Hays, G. Translating marine animal tracking data into conservation policy and management. Key questions in marine megafauna movement ecology. Hazen, E. WhaleWatch: A dynamic management tool for predicting blue whale density in the California Current. Overhauling ocean spatial planning to improve marine megafauna conservation.
Marsh, H. Dugong dugon. Accessed November Pimiento, C. Functional diversity of marine megafauna in the Anthropocene. Nowicki, R. Loss of predation risk from apex predators can exacerbate marine tropicalization caused by extreme climatic events.
Article PubMed Google Scholar. Wirsing, A. Living on the edge: Dugongs prefer to forage in microhabitats that allow escape from rather than avoidance of predators. Aragones, L. Dugong grazing and turtle cropping: Grazing optimization in tropical seagrass systems?. Oecologia , — Preen, A. Impacts of dugong foraging on seagrass habitats: Observational and experimental evidence for cultivation grazing.
ADS Google Scholar. Unsworth, R. A framework for the resilience of seagrass ecosystems. Tol, S. Long distance biotic dispersal of tropical seagrass seeds by marine mega-herbivores. Ponnampalam, L. Aligning conservation and research priorities for proactive species and habitat management: The case of dugongs Dugong dugon in Johor, Malaysia.
Oryx 49 , — Report, No 10, Distribution, abundance and conservation status of dugongs and dolphins in the southern and western Arabian Gulf. Findlay, K. Dugong abundance and distribution in the Bazaruto Archipelago, Mozambique. Pilcher, N. A low-cost solution for documenting distribution and abundance of endangered marine fauna and impacts from fisheries.
Hashim, M. Using fisher knowledge, mapping population, habitat suitability and risk for the conservation of dugongs in Johor Straits of Malaysia. Policy 78 , 18—25 Bayliss, P. Final Report of project 1.
Campbell, R. Gredzens, C. Satellite tracking of sympatric marine megafauna can inform the biological basis for species co-management. Holley, D. Sheppard, J. Hagihara, R. De Iongh, H. Movement and home ranges of dugongs around the Lease Islands, East Indonesia.
Dugong Dugong dugon movements and habitat use in a coral reef lagoonal ecosystem. Species Res. Effects of tidal and diel cycles on dugong habitat use. Dugong habitat use in relation to seagrass nutrients, tides, and diel cycles.
Mammal Sci. Zeh, D. Evidence of behavioural thermoregulation by dugongs at the high latitude limit to their range in eastern Australia. Centre, Payri, C. Oremus, M. Garrigue, C. Distribution and abundance of the dugong in New Caledonia, southwest Pacific. Drivers of change in the relative abundance of dugongs in New Caledonia. Gonson, C. Decadal increase in the number of recreational users is concentrated in no-take marine reserves.
Fraser, K. Tracking the conservation promise of movement ecology. Hussey, N. Aquatic animal telemetry: A panoramic window into the underwater world. Science Compensating for geographic variation in detection probability with water depth improves abundance estimates of coastal marine megafauna.
The importance of sample size in marine megafauna tagging studies. Derville, S. Environmental correlates of nearshore habitat distribution by the Critically Endangered Maui dolphin. Finding the right fit: Comparative cetacean distribution models using multiple data sources and statistical approaches.
Pinto, C. Authors Authors and affiliations P. Marquet J. This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access. Auger P Automates cellulaires et dynamique spatiale. Carey PD Disperse: a cellular automaton for predicting the distribution of species in a changed climate. Caswell H, Etter RJ Ecological interactions in patchy environments: from patch-occupancy model to cellular automata.
Durrett R Crabgrass, measles, and gypsy moths: an introduction to interacting particle systems. Durrett R, Levin S The importance of being discrete and spatial. Theor Popul Bio! Dytham C The effect of habitat destruction pattern on species persistence: a cellular model. Oikos — CrossRef Google Scholar.
Feller W An introduction to probability theory and its applications, vol 1, 3rd edn. Wiley, New York Google Scholar. Gotelli NJ Metapopulation models: the rescue effect, propagule rain, and the core-satellite hypothesis. Green DG Simulated effects of fire, dispersal and spatial pattern on competition within forest mosaics. Vegetatio — CrossRef Google Scholar.
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Advanced Search. Privacy Copyright. All items in Digital Scholarship UNLV are protected by original copyright, with all rights reserved, unless otherwise indicated. In the absence of disturbance, epilithic space was dominated by the green encrusting alga Gongrosira incrustans.
However, drying disturbances consistently reduced the dominance of the green alga, and crust abundance decreased with increasing disturbance frequency, thereby opening space for a diversity of mat-forming diatoms. The response of mat diatoms to disturbance varied markedly during the experiment, from strong reductions in the abundance of loosely attached mats in mid-late to the exploitation of open space by closely adhering mats in
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