Although coral reefs support the largest concentrations of marine biodiversity worldwide, the extent to which the global system of marine-protected areas (MPAs) represents individual species and the ...breadth of evolutionary history across the Tree of Life has never been quantified. Here we show that only 5.7% of scleractinian coral species and 21.7% of labrid fish species reach the minimum protection target of 10% of their geographic ranges within MPAs. We also estimate that the current global MPA system secures only 1.7% of the Tree of Life for corals, and 17.6% for fishes. Regionally, the Atlantic and Eastern Pacific show the greatest deficit of protection for corals while for fishes this deficit is located primarily in the Western Indian Ocean and in the Central Pacific. Our results call for a global coordinated expansion of current conservation efforts to fully secure the Tree of Life on coral reefs.
Mapping and monitoring marine ecosystems imply several challenges for data collection and processing: water depth, restricted access to locations, instrumentation costs or weather constraints for ...sampling, among others. Nowadays, Artificial Intelligence (AI) and Geographic Information System (GIS) open source software can be combined in new kinds of workflows, to annotate and predict objects directly on georeferenced raster data (e.g. orthomosaics). Here, we describe and share the code of a generic method to train a deep learning model with spatial annotations and use it to directly generate model predictions as spatial features. This workflow has been tested and validated in three use cases related to marine ecosystem monitoring at different geographic scales: (i) segmentation of corals on orthomosaics made of underwater images to automate coral reef habitats mapping, (ii) detection and classification of fishing vessels on remote sensing satellite imagery to estimate a proxy of fishing effort (iii) segmentation of marine species and habitats on underwater images with a simple geolocation. Models have been successfully trained and the models predictions are displayed with maps in the three use cases.
Fish diets provide information that can be used to explore and model complex ecosystems, and infer resource partitioning among species. The exhaustive sampling of prey items captured by each species ...remains, however, a demanding task. Therefore, predicting diets from other variables, such as functional traits, may be a valuable method. Here, we attempted to predict trophic guild and diet overlap for 35 fish species using 13 ecomorphological traits related to feeding ecology. We compared linear discriminant analysis and random forest (RF) classifiers in their ability to predict trophic guild. We used generalized dissimilarity modelling to predict diet overlap from functional distances between species pairs. All models were evaluated using the same cross-validation procedure. We found that fish trophic guilds were accurately predicted by an RF classifier, even with a limited number of traits, when no more than 7 guilds were defined. Prediction was no longer accurate when finer trophic guilds were created (8 or more guilds), whatever the combination of traits. Furthermore, predicting the degree of diet dissimilarity between species pairs, based on their ecomorphological traits dissimilarities, was profoundly unreliable (at least 76% of unexplained variation). These results suggest that we can predict fish trophic guilds accurately from ecomorphological traits, but not diet overlap and resource partitioning because of inherent versatility in fish diets. More generally, our statistical framework may be applied to any kind of marine organism for which feeding strategies need to be determined from traits.
Age and growth of Rhizoprionodon acutus were estimated from vertebrae age bands. From December 2009 to November 2010, 423 R. acutus between 37 and 112 cm total length (LT) were sampled along the ...Senegalese coast. Marginal increment ratio was used to check annual band deposition. Three growth models were adjusted to the length at age and compared using Akaike's information criterion. The Gompertz growth model with estimated size at birth appeared to be the best and resulted in growth parameters of L∞ = 139·55 (LT) and K = 0·17 year−1 for females and L∞ = 126·52 (LT) and K = 0·18 year−1 for males. The largest female and male examined were 8 and 9 years old, but the majority was between 1 and 3 years old. Ages at maturity estimated were 5·8 and 4·8 years for females and males, respectively. These results suggest that R. acutus is a slow‐growing species, which render the species particularly vulnerable to heavy fishery exploitation. The growth parameters estimated in this study are crucial for stock assessments and for demographic analyses to evaluate the sustainability of commercial harvests.
Species are the unit of analysis in many global change and conservation biology studies; however, species are not uniform entities but are composed of different, sometimes locally adapted, ...populations differing in plasticity. We examined how intraspecific variation in thermal niches and phenotypic plasticity will affect species distributions in a warming climate. We first developed a conceptual model linking plasticity and niche breadth, providing five alternative intraspecific scenarios that are consistent with existing literature. Secondly, we used ecological niche‐modeling techniques to quantify the impact of each intraspecific scenario on the distribution of a virtual species across a geographically realistic setting. Finally, we performed an analogous modeling exercise using real data on the climatic niches of different tree provenances. We show that when population differentiation is accounted for and dispersal is restricted, forecasts of species range shifts under climate change are even more pessimistic than those using the conventional assumption of homogeneously high plasticity across a species' range. Suitable population‐level data are not available for most species so identifying general patterns of population differentiation could fill this gap. However, the literature review revealed contrasting patterns among species, urging greater levels of integration among empirical, modeling and theoretical research on intraspecific phenotypic variation.
Despite the importance of Lessepsian invasion by migrant fish species from the Red Sea into the Mediterranean Sea via the Suez Canal, determinants of invasive success have been poorly investigated. ...In this study, we reconstructed the spatio-temporal dynamics of all Lessepsian fish species in the Mediterranean Sea and analysed the relationship between ecological variables and dispersal rate. We created a database on species occurrences based on historical data (1869 to 2005) and estimated the dispersal rate of each species. Overall, 30% of the Lessepsian species succeeded in colonizing the Mediterranean Sea. On average, the 43 Lessepsian species not included in the category ‘absence of dispersal’ disperse at a rate of 221 ± 5.4 km yr–1(SE) on the northern side and 70 km yr–1(SE = 3 km yr–1) on the southern side. Among the ecological variables studied, climate match, the year of introduction and interactions of both factors were significantly correlated with dispersal success. According to our observations, subtropical species introduced before 1980 have an advantage in the dispersal process. The transition from the Levantine basin to the western basin is clearly associated with a deceleration in dispersal rate that is likely due to a thermal barrier. In addition, we showed that species with pelagic propagules (eggs) tend to disperse more on the northern side (in comparison to the southern side) than do species with benthic propagules. This pattern was related to the counterclockwise surface circulation in the Levantine basin. We concluded that crossing the Suez Canal does not guarantee successful invasion and widespread dispersal of fish populations and that species ecology is a key determinant for dispersal success.
Effects of temperature on aspects of the life cycle and physiology of the copepod Calanus helgolandicus (C. helgolandicus) were investigated in the laboratory. Development times (DTs) were determined ...for organisms reared individually at 9, 12 and 15°C under saturated food conditions. While animals were successfully reared from egg to adulthood at 12 and 15°C, at 9°C, all the individuals had died prior to entering NV. The cohorts were fed with a monoculture of Prorocentrum micans as food saturating conditions. The cohorts were fed with monocultures of Prorocentrum micans which should represent saturated food concentrations with a dinoflagellate diet used in many other experimental studies. However, the monoculture nature of the diet and/or the laboratory containment conditions may have caused the mortality rates encountered. Impacts of short-term temperature change on egg production (EP) and hatching success were also investigated over the course of 1 year on individuals collected from station L4 (Western English Channel) and incubated in the laboratory. DTs increased as temperature decreased, with longer DTs at comparable temperature with those in Thompson’s study (1982) Growth and development of Pseudocalanus elongatus and Calanus sp. in the laboratory. J. Mar. Biol. Ass. UK, 62, 359–372. Evidence is presented to suggest that in this other study a mix of Calanus finmarchicus and C. helgolandicus may have been used. Equiproportional development was observed for the nauplii, but no pattern was defined for the copepodites. At low temperatures, mortality rates in the incubations were higher, but adult condition factor was higher, the longer DTs allowed greater body mass to be accumulated. EP rate was correlated with temperature at station L4, but the short-term incubation temperature did not have a significant influence on EP when measured over a short timescale (24 h). Egg hatching success also did not differ between incubations with small temperature differences.
Significance Biogeographic theory builds upon a long history of analyzing species-diversity patterns of remote islands, but no previous studies have attempted to investigate corresponding patterns in ...functional traits on islands. Our analyses of functional diversity (FD) for spiders and beetles in the Azorean archipelago reveal that FD increases with species richness, which, in turn scales with island area regardless of the taxa and distributional group considered (endemics, natives, and exotics). Our results also support the hypothesis that each group contributes to FD in proportion to their species richness and that, being dominant, exotic species have significantly extended the realized trait space of the Azorean islands. Further analyses in other archipelagos are needed to establish whether our findings are representative of oceanic islands.
Analyses of species-diversity patterns of remote islands have been crucial to the development of biogeographic theory, yet little is known about corresponding patterns in functional traits on islands and how, for example, they may be affected by the introduction of exotic species. We collated trait data for spiders and beetles and used a functional diversity index (FRic) to test for nonrandomness in the contribution of endemic, other native (also combined as indigenous), and exotic species to functional-trait space across the nine islands of the Azores. In general, for both taxa and for each distributional category, functional diversity increases with species richness, which, in turn scales with island area. Null simulations support the hypothesis that each distributional group contributes to functional diversity in proportion to their species richness. Exotic spiders have added novel trait space to a greater degree than have exotic beetles, likely indicating greater impact of the reduction of immigration filters and/or differential historical losses of indigenous species. Analyses of species occurring in native-forest remnants provide limited indications of the operation of habitat filtering of exotics for three islands, but only for beetles. Although the general linear (not saturating) pattern of trait-space increase with richness of exotics suggests an ongoing process of functional enrichment and accommodation, further work is urgently needed to determine how estimates of extinction debt of indigenous species should be adjusted in the light of these findings.
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