Coral reefs are biologically diverse and ecologically complex ecosystems constructed by stony corals. Despite decades of research, basic coral population biology and community ecology questions remain. Quantifying trait variation among species can help resolve these questions, but progress has been hampered by a paucity of trait data for the many, often rare, species and by a reliance on nonquantitative approaches. Therefore, we propose filling data gaps by prioritizing traits that are easy to measure, estimating key traits for species with missing data, and identifying 'supertraits' that capture a large amount of variation for a range of biological and ecological processes. Such an approach can accelerate our understanding of coral ecology and our ability to protect critically threatened global ecosystems.
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http://dx.doi.org/10.1016/j.tree.2016.02.012 | DOI Listing |
Sci Data
January 2025
Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, Hawai'i, USA.
Trait-based approaches are revolutionizing our understanding of high-diversity ecosystems by providing insights into the principles underlying key ecological processes, such as community assembly, species distribution, resilience, and the relationship between biodiversity and ecosystem functioning. In 2016, the Coral Trait Database advanced coral reef science by centralizing trait information for stony corals (i.e.
View Article and Find Full Text PDFMicrobiome
January 2025
Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
Background: The widespread selective pressure of antibiotics in the environment has led to the propagation of antibiotic resistance genes (ARGs). However, the mechanisms by which microbes balance population growth with the enrichment of ARGs remain poorly understood. To address this, we employed microcosm cultivation at different antibiotic (i.
View Article and Find Full Text PDFExpert Rev Respir Med
January 2025
Department of Respiratory MedicineComplex Obstructive Airway Disease Unit, Hospital Universitario Son Espases-IdISBa-CIBERES Palma de Mallorca Spain.
Introduction: Expert management of Complex Obstructive Airway Diseases (COAD) requires knowledge, resources and skills that are commonly shared in the management of the different conditions usually included in the acronym, namely asthma, bronchiectasis and Chronic Obstructive Pulmonary Disease (COPD). We discuss the basis to shift the paradigm of single-disease management into a holistic approach and describe its potential benefits.
Areas Covered: The prevalence and significance of the overlap between the different conditions is reviewed.
ISME Commun
January 2024
Department of Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada.
Knowledge of spatial distribution patterns of biodiversity is key to evaluate and ensure ocean integrity and resilience. Especially for the deep ocean, where in situ monitoring requires sophisticated instruments and considerable financial investments, modeling approaches are crucial to move from scattered data points to predictive continuous maps. Those modeling approaches are commonly run on the macrobial level, but spatio-temporal predictions of host-associated microbiomes are not being targeted.
View Article and Find Full Text PDFEcol Lett
January 2025
Systematic Botany and Functional Biodiversity, Institute of Biology, Leipzig University, Leipzig, Germany.
Trait-based approaches have been increasingly used to relate plants to soil microbial communities. Using the recently described root economics space as an approach to explain the structure of soil-borne fungal communities, our study in a grassland diversity experiment reveals distinct root trait strategies at the plant community level. In addition to significant effects of plant species richness, we show that the collaboration and conservation gradient are strong drivers of the composition of the different guilds of soil fungi.
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