The effect of topography on arctic-alpine aboveground biomass and NDVI patterns
Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM der...
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/307566 2024-01-07T09:40:35+01:00 The effect of topography on arctic-alpine aboveground biomass and NDVI patterns Riihimäki, Henri Heiskanen, Janne Luoto, Miska Department of Geosciences and Geography BioGeoClimate Modelling Lab Earth Change Observation Laboratory (ECHOLAB) 2019-11-28T08:02:01Z 10 application/pdf http://hdl.handle.net/10138/307566 eng eng Elsevier Scientific Publ. Co 10.1016/j.jag.2016.11.005 Riihimäki , H , Heiskanen , J & Luoto , M 2017 , ' The effect of topography on arctic-alpine aboveground biomass and NDVI patterns ' , International Journal of Applied Earth Observation and Geoinformation , vol. 56 , pp. 44-53 . https://doi.org/10.1016/j.jag.2016.11.005 ORCID: /0000-0001-6203-5143/work/38827207 22268925-3fb7-45d9-9c3b-c943e4a0baea http://hdl.handle.net/10138/307566 000392781200005 cc_by_nc_nd openAccess info:eu-repo/semantics/openAccess 1171 Geosciences 1172 Environmental sciences Article acceptedVersion 2019 ftunivhelsihelda 2023-12-14T00:09:13Z Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM derived variables, namely elevation, topographic position, radiation and wetness on AGB and Normalized Difference Vegetation Index (NDVI) in a Fennoscandian forest–alpine tundra ecotone. Boosted regression trees were used to derive non-parametric response curves and relative influences of the explanatory variables. Elevation and potential incoming solar radiation were the most important explanatory variables for both AGB and NDVI. In the NDVI models, the response curves were smooth compared with AGB models. This might be caused by large contribution of field and shrub layer to NDVI, especially at the treeline. Furthermore, radiation and elevation had a significant interaction, showing that the highest NDVI and biomass values are found from low-elevation, high-radiation sites, typically on the south-southwest facing valley slopes. Topographic wetness had minor influence on AGB and NDVI. Topographic position had generally weak effects on AGB and NDVI, although protected topographic position seemed to be more favorable below the treeline. The explanatory power of the topographic variables, particularly elevation and radiation demonstrates that DEM-derived land surface parameters can be used for exploring biomass distribution resulting from landform control on local growing conditions. Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM derived variables, namely elevation, topographic position, radiation and wetness on AGB and Normalized Difference Vegetation Index (NDVI) in a ... Article in Journal/Newspaper Arctic Arctic Fennoscandian Tundra HELDA – University of Helsinki Open Repository Arctic International Journal of Applied Earth Observation and Geoinformation 56 44 53 |
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Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
1171 Geosciences 1172 Environmental sciences |
spellingShingle |
1171 Geosciences 1172 Environmental sciences Riihimäki, Henri Heiskanen, Janne Luoto, Miska The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
topic_facet |
1171 Geosciences 1172 Environmental sciences |
description |
Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM derived variables, namely elevation, topographic position, radiation and wetness on AGB and Normalized Difference Vegetation Index (NDVI) in a Fennoscandian forest–alpine tundra ecotone. Boosted regression trees were used to derive non-parametric response curves and relative influences of the explanatory variables. Elevation and potential incoming solar radiation were the most important explanatory variables for both AGB and NDVI. In the NDVI models, the response curves were smooth compared with AGB models. This might be caused by large contribution of field and shrub layer to NDVI, especially at the treeline. Furthermore, radiation and elevation had a significant interaction, showing that the highest NDVI and biomass values are found from low-elevation, high-radiation sites, typically on the south-southwest facing valley slopes. Topographic wetness had minor influence on AGB and NDVI. Topographic position had generally weak effects on AGB and NDVI, although protected topographic position seemed to be more favorable below the treeline. The explanatory power of the topographic variables, particularly elevation and radiation demonstrates that DEM-derived land surface parameters can be used for exploring biomass distribution resulting from landform control on local growing conditions. Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM derived variables, namely elevation, topographic position, radiation and wetness on AGB and Normalized Difference Vegetation Index (NDVI) in a ... |
author2 |
Department of Geosciences and Geography BioGeoClimate Modelling Lab Earth Change Observation Laboratory (ECHOLAB) |
format |
Article in Journal/Newspaper |
author |
Riihimäki, Henri Heiskanen, Janne Luoto, Miska |
author_facet |
Riihimäki, Henri Heiskanen, Janne Luoto, Miska |
author_sort |
Riihimäki, Henri |
title |
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
title_short |
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
title_full |
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
title_fullStr |
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
title_full_unstemmed |
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns |
title_sort |
effect of topography on arctic-alpine aboveground biomass and ndvi patterns |
publisher |
Elsevier Scientific Publ. Co |
publishDate |
2019 |
url |
http://hdl.handle.net/10138/307566 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Fennoscandian Tundra |
genre_facet |
Arctic Arctic Fennoscandian Tundra |
op_relation |
10.1016/j.jag.2016.11.005 Riihimäki , H , Heiskanen , J & Luoto , M 2017 , ' The effect of topography on arctic-alpine aboveground biomass and NDVI patterns ' , International Journal of Applied Earth Observation and Geoinformation , vol. 56 , pp. 44-53 . https://doi.org/10.1016/j.jag.2016.11.005 ORCID: /0000-0001-6203-5143/work/38827207 22268925-3fb7-45d9-9c3b-c943e4a0baea http://hdl.handle.net/10138/307566 000392781200005 |
op_rights |
cc_by_nc_nd openAccess info:eu-repo/semantics/openAccess |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
56 |
container_start_page |
44 |
op_container_end_page |
53 |
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1787421449745596416 |