Enhanced LC-product for Fennoscandia
New forest classification scheme was developed to better represent the key forest structural variables, which have direct influence on vegetation-climate interactions, in different land models. Forest management affects the distribution of tree species and the age class of a forest, shaping its over...
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Online Access: | https://dx.doi.org/10.21350/c9j08bz3 https://bird.unit.no/resources/10261768-feb9-4c37-8c08-ea2efe5342ef |
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ftdatacite:10.21350/c9j08bz3 2023-05-15T16:11:40+02:00 Enhanced LC-product for Fennoscandia Majasalmi, Titta 2018 image/tiff text/csv text/plain application/pdf https://dx.doi.org/10.21350/c9j08bz3 https://bird.unit.no/resources/10261768-feb9-4c37-8c08-ea2efe5342ef unknown nibio Creative Commons Navngivelse Ikke Kommersiell Del På Samme Vilkår 4.0 Internasjonal https://creativecommons.org/licenses/by-nc-sa/4.0/deed.no CC-BY-NC-SA dataset Dataset 2018 ftdatacite https://doi.org/10.21350/c9j08bz3 2021-11-05T12:55:41Z New forest classification scheme was developed to better represent the key forest structural variables, which have direct influence on vegetation-climate interactions, in different land models. Forest management affects the distribution of tree species and the age class of a forest, shaping its overall structure and functioning, and in turn, surface-atmosphere exchanges of mass, energy, and momentum. In order to attribute climate effects to anthropogenic activities like forest management, good accounts of forest structure are necessary. Here, using Fennoscandia as a case study, we make use of Fennoscandic National Forest Inventory (NFI) data to systematically classify forest cover into groups of similar aboveground forest structure. An enhanced forest classification scheme and related Look-Up Table (LUT) of key forest structural attributes (i.e. maximum growing season leaf area index (LAImax), basal area weighted mean tree height, tree crown length and total stem volume) was developed, and the classification was applied for Multi-Source NFI (MS-NFI) maps from Norway, Sweden and Finland. To provide a complete surface representation, our product was integrated with the European Space Agency Climate Change Intiative’s Land Cover (ESA CCI LC) map of present day land cover (v.2.0.7). Dataset Fennoscandia DataCite Metadata Store (German National Library of Science and Technology) Norway |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
New forest classification scheme was developed to better represent the key forest structural variables, which have direct influence on vegetation-climate interactions, in different land models. Forest management affects the distribution of tree species and the age class of a forest, shaping its overall structure and functioning, and in turn, surface-atmosphere exchanges of mass, energy, and momentum. In order to attribute climate effects to anthropogenic activities like forest management, good accounts of forest structure are necessary. Here, using Fennoscandia as a case study, we make use of Fennoscandic National Forest Inventory (NFI) data to systematically classify forest cover into groups of similar aboveground forest structure. An enhanced forest classification scheme and related Look-Up Table (LUT) of key forest structural attributes (i.e. maximum growing season leaf area index (LAImax), basal area weighted mean tree height, tree crown length and total stem volume) was developed, and the classification was applied for Multi-Source NFI (MS-NFI) maps from Norway, Sweden and Finland. To provide a complete surface representation, our product was integrated with the European Space Agency Climate Change Intiative’s Land Cover (ESA CCI LC) map of present day land cover (v.2.0.7). |
format |
Dataset |
author |
Majasalmi, Titta |
spellingShingle |
Majasalmi, Titta Enhanced LC-product for Fennoscandia |
author_facet |
Majasalmi, Titta |
author_sort |
Majasalmi, Titta |
title |
Enhanced LC-product for Fennoscandia |
title_short |
Enhanced LC-product for Fennoscandia |
title_full |
Enhanced LC-product for Fennoscandia |
title_fullStr |
Enhanced LC-product for Fennoscandia |
title_full_unstemmed |
Enhanced LC-product for Fennoscandia |
title_sort |
enhanced lc-product for fennoscandia |
publisher |
nibio |
publishDate |
2018 |
url |
https://dx.doi.org/10.21350/c9j08bz3 https://bird.unit.no/resources/10261768-feb9-4c37-8c08-ea2efe5342ef |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Fennoscandia |
genre_facet |
Fennoscandia |
op_rights |
Creative Commons Navngivelse Ikke Kommersiell Del På Samme Vilkår 4.0 Internasjonal https://creativecommons.org/licenses/by-nc-sa/4.0/deed.no |
op_rightsnorm |
CC-BY-NC-SA |
op_doi |
https://doi.org/10.21350/c9j08bz3 |
_version_ |
1765996831156731904 |