Karen Osborn

ABSTRACTAimUndersampling and other sources of sampling bias pose significant issues in marine macroecology, particularly when shaping conservation and management decisions. Yet, determining the extent to which such biases impact our understanding of marine diversity remains elusive. Here, utilising empirical data on sampling efforts, we sampled from virtually established species distributions to evaluate how deep is the influence of sampling bias on estimations of the latitudinal gradient in marine diversity.LocationAtlantic Ocean.Time PeriodPresent.Taxa StudiedOphiuroidea.MethodsWe developed a computer simulation that implements two null models of species distribution (the geometric constraints and the area model) in a two‐dimensional domain, replicates the latitudinal distribution of historical sampling efforts and then quantifies diversity metrics (observed and estimated species richness) and sample completeness for each grid cell and latitudinal band.ResultsWe found consistent patterns of observed species richness across models, noting peaks at midlatitudes regardless of whether the true richness was unimodal or flat. Dips in equatorial diversity persisted even after using different methods of species richness estimation. Additional simulations showed that estimators' accuracy improved with increased sampling efforts, but only when samples were randomly distributed. Spatially aggregated samples inflate completeness without necessarily enhancing estimators' accuracy.Main ConclusionsThis finding emphasises the imperative of bolstering sampling efforts at tropical latitudes and deploying robust statistical techniques to mitigate undersampling effects. Meanwhile, we suggest considering sampling bias as an alternative null hypothesis for recorded marine diversity patterns.

Aim To estimate patterns of potential species richness (PSR) and identify shallow‐water Ophiuroidea hotspots based on their modelled distribution throughout the eastern Pacific Ocean (EP).LocationEastern Pacific Ocean.TaxonEchinodermata: Ophiuroidea.MethodsWe compiled and analysed the occurrence of 137 shallow‐water (≤200 m) species of Ophiuroidea from the EP using Species Distribution Models (SDM; use of Maxent) and buffering for rare species to create the first maps of PSR of the class in the EP to gain insight into their patterns.ResultsThe highest PSR was found in mid‐latitudes, decreasing towards high latitudes, denoting a robust latitudinal pattern. All PSR hotspots were found in mid‐latitudes and correspond to northern Mexico, the area between Corinto (Nicaragua) and the Gulf of Panama, and the Galapagos Islands. The pattern is mainly linked to topographic configuration, although the models also suggest temperature and other environmental factors as important. Additionally, the pattern correlates (R = 98) with the pattern of the family Amphiuridae, suggesting that its richness can be used as a proxy for exploring Ophiuroidea richness patterns elsewhere.Main ConclusionsThe richness of Ophiuroidea from the EP follows a latitudinal pattern as do other invertebrate groups. The Gulf of California, Central America, and Galapagos Islands are confirmed as hotspots of Ophiuroidea richness. However, other significant areas include the west coast of southern Baja California, Chiapas, Guatemala, and Nicaragua. PSR patterns are influenced by diverse environmental variables and the distribution patterns of the most conspicuous families. SDMs are useful for understanding large‐scale distribution patterns. This work is the first PSR assessment of marine invertebrates from the EP.

Sponges are widely spread organisms in the tropical reefs of the American Northwest-Atlantic Ocean, they structure ecosystems and provide services such as shelter, protection from predators, and food sources to a wide diversity of both vertebrates and invertebrates species. The high diversity of sponge-associated fauna can generate complex networks of species interactions over small and large spatial-temporal gradients. One way to start uncovering the organization of the sponge host-guest complex networks is to understand how the accumulated geographic area, the sponge morphology and, sponge taxonomy contributes to the connectivity of sponge species within such networks. This study is a meta-analysis based on previous sponge host-guest literature obtained in 65 scientific publications, yielding a total of 745 host-guest interactions between sponges and their associated fauna across the Caribbean Sea and the Gulf of Mexico. We analyzed the sponge species contribution to network organization in the Northwest Tropical Atlantic coral reefs by using the combination of seven complementary species-level descriptors and related this importance with three main traits, sponge-accumulated geographic area, functional sponge morphology, and sponges’ taxonomy bias. In general, we observed that sponges with a widespread distribution and a higher accumulated geographic area had a greater network structural contribution. Similarly, we also found that Cup-like and Massive functional morphologies trend to be shapes with a greater contribution to the interaction network organization compared to the Erect and Crust-like morphos. Lastly, we did not detect a taxonomy bias between interaction network organization and sponges’ orders. These results highlight the importance of a specific combination of sponge traits to promote the diversity of association between reef sponges and their guest species.

While many studies predict changes in the distribution of individual species as a result of climate change, few studies have assessed such changes at the community level for aquatic invertebrates. We used ostracods (bivalved micro-crustaceans) to assess the effects of climate change on regional species richness, (re-) distribution and community composition across the river basins of the Southern Cone of South America. Using a range of niche-based models, we present projections of changes in diversity components in the light of two scenarios on increased carbon emissions: the moderate-optimistic (RCP 4.5) and the pessimistic (RCP 8.5) scenarios from four climate models on 2050 and 2080 scenarios. Future projections show increase in the number of (mapped) cells with a richness up to five species as compared to present-day situations. La Plata basin (LPLA) presents the highest species loss, mainly in the Paraguay and Paraná rivers, while the species gain occurred mainly in the La Puna Region, North Chile-Pacific Coast and southern LPLA basins. Global change might impact ostracod communities even on a medium term (2050). Despite losses of local species in all future scenarios, a small portion of the LPLA was identified as a potential future climatic refugia for ostracod communities, while the distribution area in Patagonia was predicted to be extremely small for some ostracods at the southernmost parts of South Argentina-South Atlantic Coast and South Chile-Pacific Coast basins in both futures. These results indicate that non-model organisms can also contribute greatly to formulate evidence-based management plans for aquatic ecosystems under climate change scenarios.

Ophiuroidea is one of the most suitable marine groups for exploring diversity partitioning in the ocean due to its wide distribution and particular lifestyles. Nevertheless, diversity and its variation have yet to be investigated, and even basic information for large areas such as the eastern tropical Pacific (ETP) is still lacking. The present contribution explores α, β, and γ-diversity patterns of Ophiuroidea from the ETP at four spatial scales (Operational Geographic Units, Ecoregions, Provinces, and Realms). Based on literature records, databases, and scientific collections, an occurrence matrix was constructed for 69 shallow water (0–200 m) Ophiuroidea of the ETP (Mexico–Peru). Diversity evaluation based on rarefaction curves indicated that the observed richness tends to reach the asymptote. At the province and the ecoregion levels, β-diversity was the most important component explaining γ-diversity. The components that mainly contributed to the differentiation between provinces and ecoregions were the intersection of nestedness and β-diversity. PERMANOVA and SIMPER results showed that species composition presented significant differences at all spatial levels. The PCO ordination indicated that the first component (PCO1) explained the variation in species composition in a longitudinal gradient between coastal and oceanic ecoregions, while PCO2 showed a latitudinal gradient. The shade plot yielded three clusters (northern, southern, and widely distributed species). In general, α-diversity was explained by differences in sampling effort and methods; in contrast, β-diversity and its components were mainly explained by patterns and processes occurring at different spatial scales (provinces and ecoregions) such as oceanographic conditions, geographic extension, dispersal, and environmental heterogeneity. This work represents the first attempt to analyze the distribution patterns of shallow-water Ophiuroidea from the ETP.

We use natural language processing (NLP) to retrieve location data for cheilostome bryozoan species (text-mined occurrences (TMO)) in an automated procedure. We compare these results with data combined from two major public databases (DB): the Ocean Biodiversity Information System (OBIS), and the Global Biodiversity Information Facility (GBIF). Using DB and TMO data separately and in combination, we present latitudinal species richness curves using standard estimators (Chao2 and the Jackknife) and range-through approaches. Our combined DB and TMO species richness curves quantitatively document a bimodal global latitudinal diversity gradient for extant cheilostomes for the first time, with peaks in the temperate zones. A total of 79% of the georeferenced species we retrieved from TMO (N = 1,408) and DB (N = 4,549) are non-overlapping. Despite clear indications that global location data compiled for cheilostomes should be improved with concerted effort, our study supports the view that many marine latitudinal species richness patterns deviate from the canonical latitudinal diversity gradient (LDG). Moreover, combining online biodiversity databases with automated information retrieval from the published literature is a promising avenue for expanding taxon-location datasets.

Amphipod crustaceans are an essential component of tropical marine biodiversity. However, their distribution and biogeography have not been analysed in one of the world’s largest tropical countries nested in the Coral Triangle, Indonesia. We collected and identified amphipod crustaceans from eight s…

The latitudinal gradient of increasing marine biodiversity from the poles to the tropics is one of the most conspicuous biological patterns in modern oceans.1, 2, 3 Low-latitude regions of the global ocean are often hotspots of animal biodiversity, yet they are set to be most critically affected b…

Phyllodocida is a clade of errantiate annelids characterized by having ventral sensory palps, anterior enlarged cirri, axial muscular proboscis, compound chaetae (if present) with a single ligament, and of lacking dorsolateral folds. Members of most families date back to the Carboniferous, although …

There is a widespread need for reliable biodiversity databases for science and conservation. Among the many public databases available, we lack guidance as to how their data quality varies. Here, we compare species distribution data for a well known regional reef fish fauna extracted from five globa…