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Sampling theory inspires quantitative forest ecology: The story of the relascope kernel function

Pommerening, Arne and Sterba, Hubert and West, Philip (2022). Sampling theory inspires quantitative forest ecology: The story of the relascope kernel function. Ecological Modelling. 467 , 109924
[Research article]

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Abstract

Understanding and modelling plant interactions is an important field in quantitative forest ecology. Many spatially explicit techniques have been devised for shedding light into these processes. One of these methods includes the application of kernel functions, which describe the decay with increasing distance of interaction effects of each plant of a given community on others. In forest inventory, a method referred to as relascope sampling is often applied to collect information on the state and change of tree resources: somewhat unexpectedly, the mathematical principles of this technique have been turned into measures of competition for use in ecological modelling. In this study, we combined methods from quantitative ecology and sampling theory by defining a parameter-parsimonious relascope kernel function, thus generalising the concept of individual-tree basal-area factors. By using both relative and absolute growth rates as response variables in the regression we compared the performance of the relascope kernel with an alternative, the exponential kernel function. Our results indicated that the relascope kernel can indeed be applied to both types of growth rates in individual-based models. Using individual-tree basal-area factors, it is even possible to anticipate the performance of the relascope kernel. In most cases the estimation efficiency was greater, when absolute growth rate was the response variable. The exponential kernel was more efficient than the relascope kernel, but at the expense of parameter parsimony and estimation robustness. Our study has shown that simple, parsimonious models, inspired by another field of natural sciences, such as the relascope kernel, can effectively encapsulate the interaction dynamics of forest ecosystems.

Authors/Creators:Pommerening, Arne and Sterba, Hubert and West, Philip
Title:Sampling theory inspires quantitative forest ecology: The story of the relascope kernel function
Series Name/Journal:Ecological Modelling
Year of publishing :2022
Volume:467
Article number:109924
Number of Pages:9
Publisher:ELSEVIER
ISSN:0304-3800
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
Keywords:Agent, individual-based model, Spatial tree interactions, Neighbourhood, Forest inventory, Shot-noise model, Ecological field theory
URN:NBN:urn:nbn:se:slu:epsilon-p-117133
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-117133
Additional ID:
Type of IDID
DOI10.1016/j.ecolmodel.2022.109924
Web of Science (WoS)000790513000004
ID Code:27957
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:19 May 2022 13:25
Metadata Last Modified:19 May 2022 13:31

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