Allometry and growth of eight tree taxa in United Kingdom woodlands
Copyright policy )Allometry and growth of eight tree taxa in United Kingdom woodlands
AbstractAs part of a project to develop predictive ecosystem models of United Kingdom woodlands we have collated data from two United Kingdom woodlands - Wytham Woods and Alice Holt. Here we present data from 582 individual trees of eight taxa in the form of summary variables relating to the allometric relationships between trunk diameter, height, crown height, crown radius and trunk radial growth rate to the tree’s light environment and diameter at breast height. In addition the raw data files containing the variables from which the summary data were obtained. Large sample sizes with longitudinal data spanning 22 years make these datasets useful for future studies concerned with the way trees change in size and shape over their life-span.
- University of Queensland Australia
- Queen Mary University of London United Kingdom
- THE UNIVERSITY OF QUEENSLAND Australia
- Centre of Excellence for Environmental Decisions Australia
- Natural Environment Research Council United Kingdom
Statistics and Probability, FOS: Computer and information sciences, Data Descriptor, light responses, Library and Information Sciences, Forests, 1710 Information Systems, 310, Quantitative Biology - Quantitative Methods, Statistics - Applications, Education, Trees, Theoretical, Models, 1706 Computer Science Applications, Applications (stat.AP), 1804 Statistics, Probability and Uncertainty, 2613 Statistics and Probability, forest ecology, Quantitative Biology - Populations and Evolution, plant ecology, Ecosystem, Quantitative Methods (q-bio.QM), Statistics, Populations and Evolution (q-bio.PE), Models, Theoretical, United Kingdom, Computer Science Applications, 1804 Statistics, FOS: Biological sciences, Probability and Uncertainty, 3309 Library and Information Sciences, Statistics, Probability and Uncertainty, climate-change ecology, 3304 Education, Information Systems
Statistics and Probability, FOS: Computer and information sciences, Data Descriptor, light responses, Library and Information Sciences, Forests, 1710 Information Systems, 310, Quantitative Biology - Quantitative Methods, Statistics - Applications, Education, Trees, Theoretical, Models, 1706 Computer Science Applications, Applications (stat.AP), 1804 Statistics, Probability and Uncertainty, 2613 Statistics and Probability, forest ecology, Quantitative Biology - Populations and Evolution, plant ecology, Ecosystem, Quantitative Methods (q-bio.QM), Statistics, Populations and Evolution (q-bio.PE), Models, Theoretical, United Kingdom, Computer Science Applications, 1804 Statistics, FOS: Biological sciences, Probability and Uncertainty, 3309 Library and Information Sciences, Statistics, Probability and Uncertainty, climate-change ecology, 3304 Education, Information Systems
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