Forest habitat types in the State Forests in Polish provinces in years 2014- 2018 - Open Research Data - Bridge of Knowledge

Your account

login

Search

Forest habitat types in the State Forests in Polish provinces in years 2014- 2018

Description

The dataset contains data illustrating changes in forest habitat structure occurring between 2019 and 2023 in various provinces of Poland. It should be noted that this only concerns forests managed by the State Forests National Forest Holding. The term forest area refers to the area of forests excluding land related to forest management. The main source of information for the study is the Forest Data Bank (www.bdl.lasy.gov.pl).

The habitat types included in the dataset are:

  • Bb – swamp forest
  • BbG – mountain swamp forest
  • BG – mountain forest
  • BMb – mixed swamp forest
  • BMG – mixed mountain forest
  • BMśw – fresh mixed forest
  • BMw – moist mixed forest
  • BMwyż – upland mixed forest
  • Bs – dry forest
  • Bśw – fresh forest
  • Bw – moist forest
  • BWG – mountain moist forest
  • LG – mountain forest
  • Lł – riparian forest
  • LłG – mountain riparian forest
  • Lłwyż – upland riparian forest
  • LMb – mixed swamp forest
  • LMG – mixed mountain forest
  • LMśw – fresh mixed forest
  • LMw – moist mixed forest
  • LMwyż – upland mixed forest
  • Lśw – fresh forest
  • Lw – moist forest
  • Lwyż – upland forest
  • Ol – alder forest
  • OlJ – ash-alder forest
  • OlJG – mountain ash-alder forest
  • OlJwyż – upland ash-alder forest

Types of vertical stand structure:

  • KO – regeneration class
  • KDO – pre-regeneration class
  • BP – structure

Dataset file

Forest habitat types in the State Forests in Polish provinces in years 2014- 2018.xlsx
21.8 kB, S3 ETag 1dd3f8463128721126773045ad9c7cfd-1, downloads: 36
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2024
Verification date:
2024-07-30
Dataset language:
Polish
Fields of science:
  • biological sciences (Natural sciences)
  • socio-economic geography and spatial management (Social studies)
DOI:
DOI ID 10.34808/yq1s-sn98 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

seen 91 times