Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones

Reindeer are important drivers of ecosystem processes in arctic and subarctic ecosystems, changing nutrient conditions and influencing vegetation by grazing and trampling. Mountain birch forests are one of the ecosystems impacted by reindeer grazing, but the effect on the 3D structure of these fores...

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Bibliographic Details
Main Author: Abderhalden, Bigna Lu
Format: Bachelor Thesis
Language:English
Published: Umeå universitet, Institutionen för ekologi, miljö och geovetenskap 2024
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-226216
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spelling ftumeauniv:oai:DiVA.org:umu-226216 2024-09-15T18:38:03+00:00 Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones Abderhalden, Bigna Lu 2024 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-226216 eng eng UmeÃ¥ universitet, Institutionen för ekologi, miljö och geovetenskap http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-226216 info:eu-repo/semantics/openAccess drone photogrammetric point cloud reindeer grazing mountain birch forest Ecology Ekologi Student thesis info:eu-repo/semantics/bachelorThesis text 2024 ftumeauniv 2024-06-25T23:54:55Z Reindeer are important drivers of ecosystem processes in arctic and subarctic ecosystems, changing nutrient conditions and influencing vegetation by grazing and trampling. Mountain birch forests are one of the ecosystems impacted by reindeer grazing, but the effect on the 3D structure of these forests is not well understood. Drones are revolutionising ecological studies, allowing to create high-resolution 3D point clouds at low costs. I investigated the effect of year-round and autumn reindeer grazing on mountain birch forest vegetation in historically separated grazing areas at the Finnish-Norwegian border, using a combination of field data and drone data. The two sampling techniques were further compared to evaluate the possibility to use photogrammetric point clouds to characterise mountain birch forests. I found lower productivity in the year-round grazing regime, coinciding with generally higher vegetation density. Vertically, higher densities were found above browsing height, while the understory showed lower densities compared to autumn grazed areas. These results suggest that mountain birches allocate more biomass to the canopy area, which can be direct or indirect grazing effects. Nevertheless, overall productivity is lowered by grazing indicating changes in vegetation biomass and composition. The point clouds generally matched field data, but the understory vegetation tended to be underrepresented, arising the question if found effects are ecological or technical. As this could not be disentangled, cautious interpretation of my results is required. I conclude that using photogrammetric point clouds is a promising technique for ecological studies, but needs further development to improve accuracy and reliability of results. Bachelor Thesis Subarctic Umeå University: Publications (DiVA)
institution Open Polar
collection Umeå University: Publications (DiVA)
op_collection_id ftumeauniv
language English
topic drone
photogrammetric point cloud
reindeer
grazing
mountain birch forest
Ecology
Ekologi
spellingShingle drone
photogrammetric point cloud
reindeer
grazing
mountain birch forest
Ecology
Ekologi
Abderhalden, Bigna Lu
Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
topic_facet drone
photogrammetric point cloud
reindeer
grazing
mountain birch forest
Ecology
Ekologi
description Reindeer are important drivers of ecosystem processes in arctic and subarctic ecosystems, changing nutrient conditions and influencing vegetation by grazing and trampling. Mountain birch forests are one of the ecosystems impacted by reindeer grazing, but the effect on the 3D structure of these forests is not well understood. Drones are revolutionising ecological studies, allowing to create high-resolution 3D point clouds at low costs. I investigated the effect of year-round and autumn reindeer grazing on mountain birch forest vegetation in historically separated grazing areas at the Finnish-Norwegian border, using a combination of field data and drone data. The two sampling techniques were further compared to evaluate the possibility to use photogrammetric point clouds to characterise mountain birch forests. I found lower productivity in the year-round grazing regime, coinciding with generally higher vegetation density. Vertically, higher densities were found above browsing height, while the understory showed lower densities compared to autumn grazed areas. These results suggest that mountain birches allocate more biomass to the canopy area, which can be direct or indirect grazing effects. Nevertheless, overall productivity is lowered by grazing indicating changes in vegetation biomass and composition. The point clouds generally matched field data, but the understory vegetation tended to be underrepresented, arising the question if found effects are ecological or technical. As this could not be disentangled, cautious interpretation of my results is required. I conclude that using photogrammetric point clouds is a promising technique for ecological studies, but needs further development to improve accuracy and reliability of results.
format Bachelor Thesis
author Abderhalden, Bigna Lu
author_facet Abderhalden, Bigna Lu
author_sort Abderhalden, Bigna Lu
title Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
title_short Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
title_full Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
title_fullStr Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
title_full_unstemmed Seasonal Reindeer Grazing Effects on Mountain Birch Forests : A 3D Perspective using Drones
title_sort seasonal reindeer grazing effects on mountain birch forests : a 3d perspectiveâ usingâ drones
publisher Umeå universitet, Institutionen för ekologi, miljö och geovetenskap
publishDate 2024
url http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-226216
genre Subarctic
genre_facet Subarctic
op_relation http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-226216
op_rights info:eu-repo/semantics/openAccess
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