Data from: Geochemical analyses reveal the importance of environmental history for blue carbon sequestrationJeffrey J. Kelleway, Neil Saintilan, Peter I. Macreadie, Jeff A. Baldock, Hendrik Heijnis, A. Zawadzkis, Patricia Gadd, Geraldine Jacobsen & Peter J. Ralph
Coastal habitats including saltmarshes and mangrove forests can accumulate and store significant blue carbon stocks, which may persist for millennia. Despite this implied stability, the distribution and structure of intertidal-supratidal wetlands is known to respond to changes imposed by geomorphic evolution, climatic, sea level and anthropogenic influences. In this study, we reconstruct environmental histories and biogeochemical conditions in four wetlands of similar contemporary vegetation in SE Australia. The objective is to assess the importance of...
Data from: Effects of small-scale, shading-induced seagrass loss on blue carbon storage: Implications for management of degraded seagrass ecosystemsStacey M. Trevathan-Tackett, Caitlin Wessel, Just Cebrian, Peter J. Ralph, Pere Masque & Peter I. Macreadie
1. Seagrass meadows are important global ‘blue carbon’ sinks. Despite a 30% loss of seagrasses globally during the last century, there is limited empirical research investigating the effects of disturbance and loss of seagrass on blue carbon stocks. 2. In this study, we hypothesised that seagrass loss would reduce blue carbon stocks. Using shading cloth, we simulated small-scale die-offs of two subtropical seagrass species, Halodule wrightii and Thalassia testudinum, in a dynamic northern Gulf of...
Modern infectious disease outbreak surveillance produces continuous streams of sequence data which require phylogenetic analysis as data arrives. Current software packages for Bayesian phylogenetic inference are unable to quickly incorporate new sequences as they become available, making them less useful for dynamically unfolding evolutionary stories. This limitation can be addressed by applying a class of Bayesian statistical inference algorithms called sequential Monte Carlo (SMC) to conduct online inference, wherein new data can be continuously incorporated...
Data from: Shoot growth of woody trees and shrubs is predicted by maximum plant height and associated traitsSean M. Gleason, Andrea E.A. Stephens, Wade C. Tozer, Chris J. Blackman, Don W. Butler, Yvonne Chang, Alicia M. Cook, Julia Cooke, Claire A. Laws, Julieta A. Rosell, Stephanie A. Stuart, Mark Westoby & Andrea E. A. Stephens
1. The rate of elongation and thickening of individual branches (shoots) varies across plant species. This variation is important for the outcome of competition and other plant-plant interactions. Here we compared rates of shoot growth across 44 species from tropical, warm temperate, and cool temperate forests of eastern Australia. 2. Shoot growth rate was found to correlate with a suite of traits including the potential height of the species, xylem-specific conductivity, leaf size, leaf area...
In many regions, the frequency and duration of summer heatwaves is predicted to increase in future. Hotter summers could result in higher temperatures inside lizard nests, potentially exposing embryos to thermally stressful conditions during development. Potentially, developmentally plastic shifts in thermal tolerance could allow lizards to adapt to climate warming. To determine how higher nest temperatures affect the thermal tolerance of hatchling geckos, we incubated eggs of the rock-dwelling velvet gecko, Amalosia lesueurii, at two...
University of Technology Sydney5
Commonwealth Scientific and Industrial Research Organisation2
Fred Hutchinson Cancer Research Center1
Dauphin Island Sea Lab1
University of South Alabama1
National Autonomous University of Mexico1
Western Sydney University1
University of Western Australia1