A neighborhood analysis of canopy tree competition : effects of shading versus crowding

By Charles D. Canham, Philip T. LePage, K. David Coates. 2004

514 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5f9dc925c37f74bc5fff7c71d224bc9da9157f79

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In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Analyzing size-symmetric vs. size-asymmetric and intra- vs. inter-specific competition in beech (Fagus sylvatica L.) mixed stands (2014, background): “One way to reveal interactions between forest species is to analyze growth at tree level by comparing intra and inter-specific competition, which is generally explored through competition indices (e.g. Canham et al., 2004; Pretzsch and Schütze, 2009; Perot et al., 2010).”
A NEIGHBORHOOD ANALYSIS OF TREE GROWTH AND SURVIVAL IN A HURRICANE‐DRIVEN TROPICAL FOREST (2004, background): “Even fewer studies have looked for differences in species competitive effects in forest communities (but see Canham et al. 2004).”
Forest Growth and Yield Modeling (2011, background): “Canham et al. (2004) separated effects of shading and crowding for two conifer species in British Columbia and found that growth declined more steeply as a function of crowdingthanshading,buteffectsofcrowdingweresensitive to thespeciesof thecompetitor trees.”
Effects of size, competition and altitude on tree growth (2007, methodology): “The parameters in equations 1, 3, 4 and 5 were estimated by maximum likelihood methods (Canham et al. 2004).”
Above‐ versus below‐ground competitive effects and responses of a guild of temperate tree species (2009, background): “These results for hemlock and redcedar are in contrast to our earlier study based on a more restricted range of stand structure (Canham et al. 2004).”
Evaluating tree competition indices as predictors of basal area increment in western Montana forests (2011, background): “Of interest would be the development and application of more detailed light availability models (such as those studied by Canham et al., 2004 or Groot, 2004) to the trees in our study area to determine with more certainty how light availability contributes to overall competitive effects.”
Competition and tree crowns: a neighborhood analysis of three boreal tree species. (2010, methodology): “Alpha values 2 are common for adult-tree growth analyses (Canham et al., 2004; Uriarte et al., 2004a) but studies that estimate a for several species often find a wide range of parameter estimates (Uriarte et al.”