An assessment of sampling biases across studies of diel activity patterns in marine ray-finned fishes (Actinopterygii)

Author Posting. © University of Miami - Rosenstiel School of Marine and Atmospheric Science, 2016. This article is posted here by permission of University of Miami - Rosenstiel School of Marine and Atmospheric Science for personal use, not for redistribution. The definitive version was published in Bulletin of Marine Science 93 (2017): 611-639, doi:10.5343/bms.2016.1016.Understanding the promotion and regulation of circadian rhythms in marine fishes is important for studies spanning conservation, evolutionary biology, and physiology. Given numerous challenges inherent to quantifying behavioral activity across the full spectrum of marine environments and fish biodiversity, case studies offer a tractable means of gaining insights or forecasting broad patterns of diel activity. As these studies continue to accumulate, assessing whether, and to what extent, the cumulatively collected data are biased in terms of geography, habitat, or taxa represents a fundamentally important step in the development of a broad overview of circadian rhythms in marine fish. As such investigations require a phylogenetic framework, general trends in the phylogenetic sampling of marine fishes should be simultaneously assessed for biases in the sampling of taxa and trait data. Here, we compile diel activity data for more than 800 marine species from more than five decades of scientific studies to assess general patterns of bias. We found significant geographic biases that largely reflect a preference toward sampling warm tropical waters. Additionally, taxonomic biases likewise reflect a tendency toward conspicuous reef associated clades. Placing these data into a phylogenetic framework that includes all known marine fishes revealed significant under-dispersion of behavioral data and taxon sampling across the whole tree, with a few subclades exhibiting significant over-dispersion. In total, our study illuminates substantial gaps in our understanding of diel activity patterns and highlights significant sampling biases that have the potential to mislead evolutionary or ecological analyses.Partial funding was provided by the North Carolina Museum of Natural Sciences

Exploring the impact of trait number and type on functional diversity metrics in real-world ecosystems

The use of trait-based approaches to understand ecological communities has increased in the past two decades because of their promise to preserve more information about community structure than taxonomic methods and their potential to connect community responses to subsequent effects of ecosystem functioning. Though trait-based approaches are a powerful tool for describing ecological communities, many important properties of commonly-used trait metrics remain unexamined. Previous work in studies that simulate communities and trait distributions show consistent sensitivity of functional richness and evenness measures to the number of traits used to calculate them, but these relationships have yet to be studied in actual plant communities with a realistic distribution of trait values, ecologically meaningful covariation of traits, and a realistic number of traits available for analysis. Therefore, we propose to test how the number of traits used and the correlation between traits used in the calculation of functional diversity indices impacts the magnitude of eight functional diversity metrics in real plant communities. We will use trait data from three grassland plant communities in the US to assess the generality of our findings across ecosystems and experiments. We will determine how eight functional diversity metrics (functional richness, functional evenness, functional divergence, functional dispersion, kernel density estimation (KDE) richness, KDE evenness, KDE dispersion, Rao's Q) differ based on the number of traits used in the metric calculation and on the correlation of traits when holding the number of traits constant. Without a firm understanding of how a scientist's choices impact these metric, it will be difficult to compare results among studies with different metric parametrization and thus, limit robust conclusions about functional composition of communities across systems

Phylogenies

Phylogenies of dominant grass species sampled in North America and South Africa

R_scripts

R scripts written to conduct all analyses

Community _Trait_Data

Community composition, environmental, production and trait data for North American and South African sites and species

Genbank Accessions

Taxa included in the phylogenetic analyses along with corresponding Genbank accession numbers

Fruit in focus: A sampler platter of research

Few plants have captured the imagination and palettes of the world like those which bear edible fruits, providing novel insights into the relationships between plants and people. This special collection of reviews and research highlights the unique challenges and opportunities we face when studying, breeding, and working to conserve these species. The 18 articles included here examine fruiting plants across diverse scales and topics, from the genome to global sustainability, and from fruit morphology to species' geographic distributions, yet they showcase only a fraction of the immense evolutionary, phenotypic, and genomic diversity present in fruit‐bearing plants. Across the special collection, our hope is to not only offer highlights of fruit diversity and importance but also provide a taste of future research in this area. We hope you enjoy the fruits of our labor