Skip to main content

Canham, Charles D.

* 1The neutral theory debate has highlighted the scarcity of robust empirical estimates of the magnitude of competitive effects and responses within guilds of co-occurring tree species. Our analysis quantifies the relative magnitude of all possible pairwise competitive interactions within a guild of nine co-occurring tree species in temperate forests of northern, interior British Columbia, and explicitly partitions the competitive effects of neighbours into the effects of shading versus the residual effects of ?crowding?, assumed to reflect below-ground competition. * 2Models that treated neighbours as equivalent in their competitive effects were the most parsimonious for the five species with the smallest sample...
Categories: Publication; Types: Citation; Tags: M1-Flora
* 1The neutral theory debate has highlighted the scarcity of robust empirical estimates of the magnitude of competitive effects and responses within guilds of co-occurring tree species. Our analysis quantifies the relative magnitude of all possible pairwise competitive interactions within a guild of nine co-occurring tree species in temperate forests of northern, interior British Columbia, and explicitly partitions the competitive effects of neighbours into the effects of shading versus the residual effects of ?crowding?, assumed to reflect below-ground competition. * 2Models that treated neighbours as equivalent in their competitive effects were the most parsimonious for the five species with the smallest sample...
Categories: Publication; Types: Citation; Tags: M1-Flora
* 1The neutral theory debate has highlighted the scarcity of robust empirical estimates of the magnitude of competitive effects and responses within guilds of co-occurring tree species. Our analysis quantifies the relative magnitude of all possible pairwise competitive interactions within a guild of nine co-occurring tree species in temperate forests of northern, interior British Columbia, and explicitly partitions the competitive effects of neighbours into the effects of shading versus the residual effects of ?crowding?, assumed to reflect below-ground competition. * 2Models that treated neighbours as equivalent in their competitive effects were the most parsimonious for the five species with the smallest sample...
Categories: Publication; Types: Citation; Tags: M1-Flora
* 1The neutral theory debate has highlighted the scarcity of robust empirical estimates of the magnitude of competitive effects and responses within guilds of co-occurring tree species. Our analysis quantifies the relative magnitude of all possible pairwise competitive interactions within a guild of nine co-occurring tree species in temperate forests of northern, interior British Columbia, and explicitly partitions the competitive effects of neighbours into the effects of shading versus the residual effects of ?crowding?, assumed to reflect below-ground competition. * 2Models that treated neighbours as equivalent in their competitive effects were the most parsimonious for the five species with the smallest sample...
thumbnail
* 1The neutral theory debate has highlighted the scarcity of robust empirical estimates of the magnitude of competitive effects and responses within guilds of co-occurring tree species. Our analysis quantifies the relative magnitude of all possible pairwise competitive interactions within a guild of nine co-occurring tree species in temperate forests of northern, interior British Columbia, and explicitly partitions the competitive effects of neighbours into the effects of shading versus the residual effects of ?crowding?, assumed to reflect below-ground competition. * 2Models that treated neighbours as equivalent in their competitive effects were the most parsimonious for the five species with the smallest sample...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.