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Methods of modelling relative growth rate

Pommerening, Arne and Muszta, Anders (2015). Methods of modelling relative growth rate. Forest Ecosystems. 2 , 1-9
[Research article]

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Official URL: http://dx.doi.org/10.1186/s40663-015-0029-4


Background: Analysing and modelling plant growth is an important interdisciplinary field of plant science. The useof relative growth rates, involving the analysis of plant growth relative to plant size, has more or less independentlyemerged in different research groups and at different times and has provided powerful tools for assessing thegrowth performance and growth efficiency of plants and plant populations. In this paper, we explore how theseisolated methods can be combined to form a consistent methodology for modelling relative growth rates. Methods: We review and combine existing methods of analysing and modelling relative growth rates and applya combination of methods to Sitka spruce (Picea sitchensis (Bong.) Carr.) stem-analysis data from North Wales (UK)and British Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) yield table data.
Results: The results indicate that, by combining the approaches of different plant-growth analysis laboratories andusing them simultaneously, we can advance and standardise the concept of relative plant growth. Particularly thegrowth multiplier plays an important role in modelling relative growth rates. Another useful technique has beenthe recent introduction of size-standardised relative growth rates.
Conclusions: Modelling relative growth rates mainly serves two purposes, 1) an improved analysis of growthperformance and efficiency and 2) the prediction of future or past growth rates. This makes the concept of relativegrowth ideally suited to growth reconstruction as required in dendrochronology, climate change and forest declineresearch and for interdisciplinary research projects beyond the realm of plant science.

Authors/Creators:Pommerening, Arne and Muszta, Anders
Title:Methods of modelling relative growth rate
Series Name/Journal:Forest Ecosystems
Year of publishing :2015
Page range:1-9
Number of Pages:9
Publisher:Springer Verlag
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:K Forestry > K01 Forestry - General aspects
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:growth rate, methods, efficiency, picea sitchensis, pseudotsuga menziesii
Keywords:growth efficiency, growth coefficient/multiplier, chapman-Richards growth model, standardisation, simultaneous estimations
Permanent URL:
ID Code:12470
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:06 Aug 2015 14:29
Metadata Last Modified:09 Sep 2020 14:17

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