A constructive review of the State Forest Inventory in the Russian Federation View Full Text


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Article Info

DATE

2019-12

AUTHORS

Alexander Alekseev, Erkki Tomppo, Ronald E. McRoberts, Klaus von Gadow

ABSTRACT

The State Forest Inventory (SFI) in the Russian Federation is a relatively new project that is little known in the English-language scientific literature. Following the stipulations of the Forest Act of 2006, the first SFI sample plots in this vast territory were established in 2007. The 34 Russian forest regions were the basic geographical units for all statistical estimates and served as a first-level stratification, while a second level was based on old inventory data and remotely sensed data. The sampling design was to consist of a simple random sample of 84,700 circular 500 m2 sample plots over forest land. Each sample plot consists of three nested concentric circular subplots with radii of 12.62, 5.64 and 2.82 m and additional subplots for assessing and describing undergrowth, regeneration and ground vegetation. In total, 117 variables were to be measured or assessed on each plot. Although field work has begun, the methodology has elicited some criticism. The simple random sampling design is less efficient than a systematic design featuring sample plot clusters and a mix of temporary and permanent plots. The second-level stratification is mostly ineffective for increasing precision. Qualitative variables, which are not always essential, are dominant, while important quantitative variables are under-represented. Because of very slow progress, in 2018 the original plan was adjusted by reducing the number of permanent sample plots from 84,700 to 68,287 so that the first SFI cycle could be completed by 2020. More... »

PAGES

9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40663-019-0165-3

DOI

http://dx.doi.org/10.1186/s40663-019-0165-3

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https://app.dimensions.ai/details/publication/pub.1112646044


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133 https://www.grid.ac/institutes/grid.445913.e schema:alternateName Saint Petersburg State Forest Technical University
134 schema:name Department of Forest Inventory, Management and GIS, Saint-Petersburg State Forest Technical University, Institutsky per., 5, 194021, Saint-Petersburg, Russia
135 rdf:type schema:Organization
136 https://www.grid.ac/institutes/grid.472551.0 schema:alternateName US Forest Service
137 schema:name Northern Research Station, USDA Forest Service, 1992 Folwell Avenue, 55108, Saint Paul, MN, USA
138 rdf:type schema:Organization
139 https://www.grid.ac/institutes/grid.5373.2 schema:alternateName Aalto University
140 schema:name Department of Electronics and Nanoengineering, Aalto University, FI-00076, Aalto, Finland
141 Department of Forest Sciences, University of Helsinki, FI-00790, Helsinki, Finland
142 rdf:type schema:Organization
 




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