Towards a worldwide wood economics spectrum.

By Jérôme Chave, David A. Coomes, S. Jansen, Simon L. Lewis, N. Swenson, A. Zanne. Ecology Letters, 2009

3,186 citations recorded by the source corpus.

Subfields: Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/0e3b6b76d672a242b5442dca0cab67d8308a1a4e

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Citations in the corpus

Drought tolerance as predicted by leaf water potential at turgor loss point varies strongly across species within an Amazonian forest (2015, neutral): “…in our sampling, to ensure that at least two individuals per species were collected per plot, and to maximize species-level variation in wood density, which has often been associated with drought tolerance (Hacke et al. 2001; Santiago et al. 2004; Chave et al. 2009; Markesteijn et al. 2011a,b).”
Hybrid estimators for mean aboveground carbon per unit area (2016, methodology): “Estimates of means and SEs obtained for the wood density means and their standard deviations selected in Section 3.2.4 were compared to estimates obtained using the North American wood density means and standard deviations reported by Chave et al. (2009).”
Regeneration: an overlooked aspect of trait‐based plant community assembly models (2016, background): “…relatively easy to measure, represent broad resource acquisition and growth strategies (e.g. leaf and wood economics spectrums, Wright et al. 2004; Chave et al. 2009) and explain a meaningful portion of the variation in plant performance and community composition across environmental gradients…”
Root functional parameters along a land‐use gradient: evidence of a community‐level economics spectrum (2015, background): “…roots, but on the other hand, because similar trade-offs have been described for leaves, stems and more recently for fine roots (Wright et al. 2004; Chave et al. 2009; Freschet et al. 2010; Reich 2014), all performing different functions within the plant, we would then expect that coarse roots…”
Improved allometric models to estimate the aboveground biomass of tropical trees (2014, methodology): “…the entire individual, so wood volumewas often inferred from geometrical considerations (see e.g. Henry et al., 2010; Fayolle et al., 2013), and wood volume was converted into oven-dry weight by multiplying the volume by the wood specific gravity (Chave et al., 2009; Williamson & Wiemann, 2010).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “, 2007), and vast adaptive variation has been demonstrated (e.g. Maherali et al., 2004; Sperry et al., 2006; Chave et al., 2009; McCulloh et al., 2010).”
Conservative species drive biomass productivity in tropical dry forests (2016, background): “2004) and lower construction costs per wood volume (Chave et al. 2009).”
Spatial patterns of wood traits in China are controlled by phylogeny and the environment (2011, background): “Although it is believed that the physiology, xylem structure and wood traits of a tree can be shaped by phylogeny and the environment (Read & Stokes, 2006; Swenson & Enquist, 2007; Chave et al., 2009), it remains unclear to what extent geographical gradients in wood traits are shaped by each of thes”
A link between plant traits and abundance: evidence from coastal California woody plants (2010, background): “…is lumen (i.e. the space inside vessels) represents a trade-off between high structural strength and resistance to embolism (at low percentage lumen area) versus the ability to transport a large amount of water per carbon invested in sapwood (Preston, Cornwell & DeNoyer 2006; Chave et al. 2009).”
Handbook of standardized protocols for collecting plant modularity traits (2019, background): “This gap has been partly caused by focusing on a set of functional traits that are mainly associated with resource acquisition and sexual reproduction (Westoby, 1998; Wright et al., 2004; Chave et al., 2009).”
Hydraulic conductivity traits predict growth rates and adult stature of 40 Asian tropical tree species better than wood density (2012, background): “Evenwhere a negative correlation betweenwood density and growth was found, it was often relatively weak (Nascimento et al. 2005; Osunkoya et al. 2007; Chave et al. 2009).”
The distribution and amount of carbon in the largest peatland complex in Amazonia (2014, methodology): “Speciesspecific wood density values were obtained from [28] where available, and the global wood density database otherwise [50, 51].”
Interspecific variation in functional traits, not climatic differences among species ranges, determines demographic rates across 44 temperate and Mediterranean tree species (2010, background): “One important aspect that emerges from recent work on plant functional traits is the central importance of WD as an integrator of wood properties (Chave et al. 2009).”
Contrasting taxonomic and functional responses of a tropical tree community to selective logging (2012, background): “…and functional composition in our samples by integrating data for 13 functional traits (see Table 2) describing leaf economics (Wright et al. 2004) and wood economics (Chave et al. 2009) that were collected in nine permanent plots in French Guiana, including two at Paracou (Baraloto et al. 2010a).”