Drivers of beta diversity in modern and ancient reef-associated soft-bottom environments.

Beta diversity, the compositional variation among communities, is often associated with environmental gradients. Other drivers of beta diversity include stochastic processes, priority effects, predation, or competitive exclusion. Temporal turnover may also explain differences in faunal composition between fossil assemblages. To assess the drivers of beta diversity in reef-associated soft-bottom environments, we investigate community patterns in a Middle to Late Triassic reef basin assemblage from the Cassian Formation in the Dolomites, Northern Italy, and compare results with a Recent reef basin assemblage from the Northern Bay of Safaga, Red Sea, Egypt. We evaluate beta diversity with regard to age, water depth, and spatial distance, and compare the results with a null model to evaluate the stochasticity of these differences. Using pairwise proportional dissimilarity, we find very high beta diversity for the Cassian Formation (0.91 ± 0.02) and slightly lower beta diversity for the Bay of Safaga (0.89 ± 0.04). Null models show that stochasticity only plays a minor role in determining faunal differences. Spatial distance is also irrelevant. Contrary to expectations, there is no tendency of beta diversity to decrease with water depth. Although water depth has frequently been found to be a key factor in determining beta diversity, we find that it is not the major driver in these reef-associated soft-bottom environments. We postulate that priority effects and the biotic structuring of the sediment may be key determinants of beta diversity.

Addressing priority questions of conservation science with palaeontological data.

Palaeontologists often ask identical questions to those asked by ecologists. Despite this, ecology is considered a core discipline of conservation biology, while palaeontologists are rarely consulted in the protection of species, habitats and ecosystems. The recent emergence of conservation palaeobiology presents a big step towards better integration of palaeontology in conservation science, although its focus on historical baselines may not fully capture the potential contributions of geohistorical data to conservation science. In this essay we address previously defined priority questions in conservation and consider which of these questions may be answerable using palaeontological data. Using a statistical assessment of surveys, we find that conservation biologists and younger scientists have a more optimistic view of potential palaeontological contributions to the field compared to experienced palaeontologists. Participants considered questions related to climate change and marine ecosystems to be the best addressable with palaeontological data. As these categories are also deemed most relevant by ecologists and receive the greatest research effort in conservation, they are the natural choice for future academic collaboration. This article is part of a discussion meeting issue 'The past is a foreign country: how much can the fossil record actually inform conservation?'

Reliable estimates of beta diversity with incomplete sampling.

Beta diversity, the compositional variation among communities or assemblages, is crucial to understanding the principles of diversity assembly. The mean pairwise proportional dissimilarity expresses overall heterogeneity of samples in a data set and is among the most widely used and most robust measures of beta diversity. Obtaining a complete list of taxa and their abundances requires substantial taxonomic expertise and is time consuming. In addition, the information is generally incomplete due to sampling biases. Based on the concept of the ecological significance of dominant taxa, we explore whether determining proportional dissimilarity can be simplified based on dominant species. Using simulations and six case studies, we assess the correlation between complete community compositional data and reduced subsets of a varying number of dominant species. We find that gross beta diversity is usually depicted accurately when only the 80th percentile or five of the most abundant species of each site is considered. In data sets with very high evenness, at least the 10 most abundant species should be included. Focusing on dominant species also maintains the rank-order of beta diversity among sites. Our new approach will allow ecologists and paleobiologists to produce a far greater amount of data on diversity patterns with less time and effort, supporting conservation studies and basic science.