Spatial statistics in ecological analysis: from indices to functions

IF 1.7 3区农林科学 Q2 FORESTRY

Silva Fennica Pub Date : 2014-01-01 DOI:10.14214/SF.1008

J. Szmyt

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引用次数: 57

Abstract

This paper presents a review of the most common methods in ecological studies aimed at spatial analysis of population structures (horizontal and vertical), based on point process statistics. Methods based on simple spatially explicit indices as well as more sophisticated methods relying on functions are described in a comprehensible manner. Simple indices revealing the information on spatial structure at the scale of the nearest neighbor can be easily implemented in practical forestry. On the other hand, spatial functions, based on much more detailed data, describe the spatial structure in terms of the spatial relationships between the natural processes and population structures and because of this complexity they are rarely used in forest practice. Including both methods in a single paper is also valuable from the potential reader’s point of view saving their time for searching and choosing the appropriate method to make their spatial analysis. This paper can also serve as an initial guide for young researchers or those who are going to start their studies on spatial aspects of bio-systems. Avoiding the statistical and mathematical details makes this paper understandable for readers who are not statisticians or mathematicians. Readers will

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来源期刊

Silva Fennica 农林科学-林学

CiteScore

3.50

自引率

11.10%

发文量

审稿时长

3 months

期刊介绍： Silva Fennica publishes significant new knowledge on forest sciences. The scope covers research on forestry and forest ecosystems. Silva Fennica aims to increase understanding on forest ecosystems, and sustainable use and conservation of forest resources. Use of forest resources includes all aspects of forestry containing biomass-based and non-timber products, economic and social factors etc.