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Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017
In this article, we provide access to, and information on the production of 42 ecogeographical variables (EGVs) used to describe the landscape of Latvia at three scales (local and two landscape). Layers are focused on the description of forest heterogeneity, but account for other ecosystems and land...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391499/ https://www.ncbi.nlm.nih.gov/pubmed/35996640 http://dx.doi.org/10.1016/j.dib.2022.108509 |
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author | Avotins, Andris Kerus, Viesturs Aunins, Ainars |
author_facet | Avotins, Andris Kerus, Viesturs Aunins, Ainars |
author_sort | Avotins, Andris |
collection | PubMed |
description | In this article, we provide access to, and information on the production of 42 ecogeographical variables (EGVs) used to describe the landscape of Latvia at three scales (local and two landscape). Layers are focused on the description of forest heterogeneity, but account for other ecosystems and land cover types as well. The more temporarily changing land use and land cover (LULC) types as forest and agricultural lands are described from 2017 databases. With most of the other LULC information was gathered from the topographic map (2016) at the scale of 1:10 000. All the raster layers provided here are in the Latvian projected coordinate reference system (epsg:3059) with a grid cell size of 25 ha. Each layer provides quantitative information on the area, shape, and edge of habitat classes and additionally, age, time since the last forestry disturbance, relative soil humidity, relative soil richness etc. for forests. The three scales represent information from within 25 ha grid cell, and two radii – 1250 and 2500 m - around the centre of the grid cell. |
format | Online Article Text |
id | pubmed-9391499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93914992022-08-21 Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 Avotins, Andris Kerus, Viesturs Aunins, Ainars Data Brief Data Article In this article, we provide access to, and information on the production of 42 ecogeographical variables (EGVs) used to describe the landscape of Latvia at three scales (local and two landscape). Layers are focused on the description of forest heterogeneity, but account for other ecosystems and land cover types as well. The more temporarily changing land use and land cover (LULC) types as forest and agricultural lands are described from 2017 databases. With most of the other LULC information was gathered from the topographic map (2016) at the scale of 1:10 000. All the raster layers provided here are in the Latvian projected coordinate reference system (epsg:3059) with a grid cell size of 25 ha. Each layer provides quantitative information on the area, shape, and edge of habitat classes and additionally, age, time since the last forestry disturbance, relative soil humidity, relative soil richness etc. for forests. The three scales represent information from within 25 ha grid cell, and two radii – 1250 and 2500 m - around the centre of the grid cell. Elsevier 2022-08-05 /pmc/articles/PMC9391499/ /pubmed/35996640 http://dx.doi.org/10.1016/j.dib.2022.108509 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Avotins, Andris Kerus, Viesturs Aunins, Ainars Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title | Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title_full | Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title_fullStr | Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title_full_unstemmed | Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title_short | Ecogeographical variable dataset for species distribution modelling, describing forest landscape in Latvia, 2017 |
title_sort | ecogeographical variable dataset for species distribution modelling, describing forest landscape in latvia, 2017 |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391499/ https://www.ncbi.nlm.nih.gov/pubmed/35996640 http://dx.doi.org/10.1016/j.dib.2022.108509 |
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