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Towards a worldwide wood economics spectrum.
- J. Chave, D. Coomes, S. Jansen, S. Lewis, N. Swenson, A. Zanne
- Environmental ScienceEcology letters
- 1 April 2009
It is suggested that, similar to the manifold that tree species leaf traits cluster around the 'leaf economics spectrum', a similar 'wood economics spectrum' may be defined.
TRY – a global database of plant traits
The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.
Rapid deforestation and fragmentation of Chilean Temperate Forests
Angiosperm wood structure: Global patterns in vessel anatomy and their relation to wood density and potential conductivity.
Improved theory and quantification are needed to better understand ecological costs and benefits of these three distinct dimensions, including hydraulic conductivity, capacitance, and construction costs.
IMPACTS OF ROOT COMPETITION IN FORESTS AND WOODLANDS: A THEORETICAL FRAMEWORK AND REVIEW OF EXPERIMENTS
Light is widely considered to be the most important factor limiting the performance of plants on the floors of forests and woodlands, but the roles of nutrient availability and water supply remain…
Competitive interactions between forest trees are driven by species' trait hierarchy, not phylogenetic or functional similarity: implications for forest community assembly.
It is proposed that functional and phylogenetic convergence in local tree community might be due to competition-sorting species with different competitive abilities and not only environmental filtering as commonly assumed.
Colonization, tolerance, competition and seed-size variation within functional groups
The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models
Correcting for geographical sampling bias led to major improvements in goodness of fit, but did not entirely resolve the problem: predictions made with clustered ecological data were inferior to those made with the herbarium dataset, even after sampling bias correction.
Effects of size, competition and altitude on tree growth
This study is the first to build the effects of competition and environment into Enquist's model of tree growth, and shows that competitive interactions alter the scaling of mean growth rate with size, whereas altitude does not influence the scaled of potential growth rates with size.