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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Norsk institutt for bioøkonomi (NIBIO)
2017
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Online Access: | https://dx.doi.org/10.21350/7zzey5w3 https://bird.unit.no/resources/3be2d461-b01b-418e-90cd-03f3cbc8ee37 |
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ftdatacite:10.21350/7zzey5w3 2023-05-15T16:11:42+02:00 Enhanced LC-product for Fennoscandia Majasalmi, Titta 2017 https://dx.doi.org/10.21350/7zzey5w3 https://bird.unit.no/resources/3be2d461-b01b-418e-90cd-03f3cbc8ee37 en eng Norsk institutt for bioøkonomi (NIBIO) Creative Commons - Attribution 4.0 International https://creativecommons.org/licenses/by/4.0 CC-BY land use land use change forest management LULCC NFI PFT SVAT CCI LC-product MS-NFI dataset Dataset 2017 ftdatacite https://doi.org/10.21350/7zzey5w3 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 |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
land use land use change forest management LULCC NFI PFT SVAT CCI LC-product MS-NFI |
spellingShingle |
land use land use change forest management LULCC NFI PFT SVAT CCI LC-product MS-NFI Majasalmi, Titta Enhanced LC-product for Fennoscandia |
topic_facet |
land use land use change forest management LULCC NFI PFT SVAT CCI LC-product MS-NFI |
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 |
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 |
Norsk institutt for bioøkonomi (NIBIO) |
publishDate |
2017 |
url |
https://dx.doi.org/10.21350/7zzey5w3 https://bird.unit.no/resources/3be2d461-b01b-418e-90cd-03f3cbc8ee37 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Fennoscandia |
genre_facet |
Fennoscandia |
op_rights |
Creative Commons - Attribution 4.0 International https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.21350/7zzey5w3 |
_version_ |
1765996856241815552 |