Browsing by Author "Jackson, Andrew L."
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Item Climatic and evolutionary contexts are required to infer plant life history strategies from functional traits at a global scale(John Wiley & Sons, 2021-02-27) Kelly, Ruth; Healy, Kevin; Anand, Madhur; Baudraz, Maude E. A.; Bahn, Michael; Cerabolini, Bruno E. L.; Cornelissen, Johannes H. C.; Dwyer, John M.; Jackson, Andrew L.; Kattge, Jens; Niinemets, Ülo; Penuelas, Josep; Pierce, Simon; Salguero-Gómez, Roberto; Buckley, Yvonne M.Life history strategies are fundamental to the ecology and evolution of organisms and are 2 important for understanding extinction risk and responses to global change. Using global 3 datasets and a multiple response modelling framework we show that trait-climate interactions 4 are associated with life history strategies for a diverse range of plant species at the global scale. 5 Our modelling framework informs our understanding of trade-offs and positive correlations 6 between elements of life history after accounting for environmental context and evolutionary 7 and trait-based constraints. Interactions between plant traits and climatic context were needed 8 to explain variation in age at maturity, distribution of mortality across the lifespan, generation 9 time of species. Mean age at maturity and the distribution of mortality across plants’ lifespan 10 were under evolutionary constraints. These findings provide empirical support for the 11 theoretical expectation that climatic context is key to understanding trait to life history 12 relationships globally.Item Invasions of ecological communities: Hints of impacts in the invader's growth rate(Wiley, 2021-10-11) Arnoldi, Jean-François; Barbier, Matthieu; Kelly, Ruth; Barabás, György; Jackson, Andrew L.1. Theory in ecology and evolution often relies on the analysis of invasion processes, and general approaches exist to understand the early stages of an invasion. However, predicting the long-term transformations of communities following an invasion remains a challenging endeavour. 2. We propose a general analytical method that uses both resident community and invader dynamical features to predict whether an invasion causes large long-term impacts on the invaded community. 3. This approach reveals a direction in which classic invasion analysis, based on initial invasion growth rate, can be extended. Indeed, we explain how the density dependence of invasion growth, if properly defined, synthetically encodes the long-term biotic transformations caused by an invasion, and therefore predicts its ultimate outcome. This approach further clarifies how the density dependence of the invasion growth rate is as much a property of the invading population as it is one of the invaded community. 4. Our theory applies to any stable community model, and directs us towards new questions that may enrich the toolset of invasion analysis, and suggests that indirect interactions and dynamical stability are key determinants of invasion outcomes.