Principles of National Forest Inventory Methods: Theory, Practice, and Examples from Estonia

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Allan Sims

Principles of National Forest Inventory Methods

Theory, Practice, and Examples from Estonia

Allan Sims

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English

Springer International Publishing AG
09 September 2023

Ecological science, the Biosphere; Plant ecology; Sustainability; Forestry & silviculture: practice & techniques

Series: Managing Forest Ecosystems

This Monograph explains the statistical theory behind the National Forest Inventory (NFI) data collection and compares different methods for modelling and inventory design. The author also explains how natural uncertainty in measurement and modelling can affects the results. Forests, as dynamic systems, are influenced by many unpredictable factors over time. Therefore, readers can use this book to develop the right framework of expectations, when using NFI data.

The chapters give an outlook on traditional methods like sample plots, but also consider newer approaches like remote sensing. By merging these different techniqes, NFI datasets can become more reliable and facetted. One of the most contemporary developments in the field, is the use of continuous plots that offer live data at all times. Whether this data should be open to the public, is another discussion point that the author addresses.

Offering a perspective from Estonia, readers will find practical examples for all discussed methods. This bridge from theory to practice, makes the volume a useful resource for scientists and decision makers in the forestry sector.

By: Allan Sims
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2022 ed.
Volume: 43
Dimensions: Height: 235mm, Width: 155mm,
Weight: 278g
ISBN: 9783031064074
ISBN 10: 3031064070
Series: Managing Forest Ecosystems
Pages: 162
Publication Date: 09 September 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Allan Sims has been working with sample plots data since his master studies (2002) at the Estonian University of Life Sciences. His PhD thesis discussed “Information system of dendrometric models and data - a tool for modelling of forest growth”. The author's research field has been mainly focussed on forest growth and dynamics, stand structure, forest remote sensing and uncertainty in measuring and modelling. Since 2016 he has been leading the scientific and data analysis section of the Estonian National Forest Inventory. He has been a member of the Estonian LULUCF and FRA reporting team.