Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system

Abstract The Arctic is experiencing some of the most rapid climate change on Earth, with strong impacts on tundra ecosystems that are characterized by high land-surface and vegetation heterogeneity. Previous studies have explored this complexity using satellite remote sensing, however these typicall...

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Published in:Environmental Research Letters
Main Authors: Yang, Dedi, Morrison, Bailey D, Hantson, Wouter, Breen, Amy L, McMahon, Andrew, Li, Qianyu, Salmon, Verity G, Hayes, Daniel J, Serbin, Shawn P
Other Authors: Next-Generation Ecosystem Experiments Project
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2021
Subjects:
Online Access:http://dx.doi.org/10.1088/1748-9326/ac1291
https://iopscience.iop.org/article/10.1088/1748-9326/ac1291
https://iopscience.iop.org/article/10.1088/1748-9326/ac1291/pdf
id crioppubl:10.1088/1748-9326/ac1291
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spelling crioppubl:10.1088/1748-9326/ac1291 2024-09-15T18:02:20+00:00 Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system Yang, Dedi Morrison, Bailey D Hantson, Wouter Breen, Amy L McMahon, Andrew Li, Qianyu Salmon, Verity G Hayes, Daniel J Serbin, Shawn P Next-Generation Ecosystem Experiments Project 2021 http://dx.doi.org/10.1088/1748-9326/ac1291 https://iopscience.iop.org/article/10.1088/1748-9326/ac1291 https://iopscience.iop.org/article/10.1088/1748-9326/ac1291/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 16, issue 8, page 085005 ISSN 1748-9326 journal-article 2021 crioppubl https://doi.org/10.1088/1748-9326/ac1291 2024-07-08T04:17:32Z Abstract The Arctic is experiencing some of the most rapid climate change on Earth, with strong impacts on tundra ecosystems that are characterized by high land-surface and vegetation heterogeneity. Previous studies have explored this complexity using satellite remote sensing, however these typically coarse spatial resolution data have generally missed sub-pixel heterogeneity, leaving critical gaps in our understanding of tundra vegetation dynamics from the community to landscape scales. To address these gaps, we collected very high-resolution (1–5 cm) optical, structural, and thermal data at three low-Arctic tundra sites on the Seward Peninsula, Alaska, using a multi-sensor unoccupied aerial system (UAS). We examined the application of these data to studying tundra vegetation dynamics, by quantifying (a) canopy height and thermoregulation (leaf–air temperature) of representative plant functional types (PFTs), (b) fine-scale patterns of vegetation composition across landscapes, and (c) impacts of fine-scale vegetation composition on landscape-scale variation of canopy height and thermoregulation. Our results show that deciduous tall shrubs (those that can potentially grow >2 m) had a strong cooling effect, with canopy temperatures significantly lower than local air temperatures and other PFTs. Increased cover of tall shrubs also had the potential to reduce the cover of low-stature PFTs across the landscape, potentially associated with their closed canopy (i.e. increased light competition) and strong thermoregulation. To understand the connections between fine-scale vegetation composition and large-scale ecosystem processes, we produced a random forest model which showed that fine-scale PFT composition accounted for 86.8% and 74.2% of the landscape-scale variation in canopy height and thermoregulation, respectively. These findings highlight the importance of spatially detailed characterization of tundra PFTs to improve our ecological understanding and model representation of tundra vegetation, also transcend ... Article in Journal/Newspaper Climate change Seward Peninsula Tundra Alaska IOP Publishing Environmental Research Letters 16 8 085005
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract The Arctic is experiencing some of the most rapid climate change on Earth, with strong impacts on tundra ecosystems that are characterized by high land-surface and vegetation heterogeneity. Previous studies have explored this complexity using satellite remote sensing, however these typically coarse spatial resolution data have generally missed sub-pixel heterogeneity, leaving critical gaps in our understanding of tundra vegetation dynamics from the community to landscape scales. To address these gaps, we collected very high-resolution (1–5 cm) optical, structural, and thermal data at three low-Arctic tundra sites on the Seward Peninsula, Alaska, using a multi-sensor unoccupied aerial system (UAS). We examined the application of these data to studying tundra vegetation dynamics, by quantifying (a) canopy height and thermoregulation (leaf–air temperature) of representative plant functional types (PFTs), (b) fine-scale patterns of vegetation composition across landscapes, and (c) impacts of fine-scale vegetation composition on landscape-scale variation of canopy height and thermoregulation. Our results show that deciduous tall shrubs (those that can potentially grow >2 m) had a strong cooling effect, with canopy temperatures significantly lower than local air temperatures and other PFTs. Increased cover of tall shrubs also had the potential to reduce the cover of low-stature PFTs across the landscape, potentially associated with their closed canopy (i.e. increased light competition) and strong thermoregulation. To understand the connections between fine-scale vegetation composition and large-scale ecosystem processes, we produced a random forest model which showed that fine-scale PFT composition accounted for 86.8% and 74.2% of the landscape-scale variation in canopy height and thermoregulation, respectively. These findings highlight the importance of spatially detailed characterization of tundra PFTs to improve our ecological understanding and model representation of tundra vegetation, also transcend ...
author2 Next-Generation Ecosystem Experiments Project
format Article in Journal/Newspaper
author Yang, Dedi
Morrison, Bailey D
Hantson, Wouter
Breen, Amy L
McMahon, Andrew
Li, Qianyu
Salmon, Verity G
Hayes, Daniel J
Serbin, Shawn P
spellingShingle Yang, Dedi
Morrison, Bailey D
Hantson, Wouter
Breen, Amy L
McMahon, Andrew
Li, Qianyu
Salmon, Verity G
Hayes, Daniel J
Serbin, Shawn P
Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
author_facet Yang, Dedi
Morrison, Bailey D
Hantson, Wouter
Breen, Amy L
McMahon, Andrew
Li, Qianyu
Salmon, Verity G
Hayes, Daniel J
Serbin, Shawn P
author_sort Yang, Dedi
title Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
title_short Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
title_full Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
title_fullStr Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
title_full_unstemmed Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
title_sort landscape-scale characterization of arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system
publisher IOP Publishing
publishDate 2021
url http://dx.doi.org/10.1088/1748-9326/ac1291
https://iopscience.iop.org/article/10.1088/1748-9326/ac1291
https://iopscience.iop.org/article/10.1088/1748-9326/ac1291/pdf
genre Climate change
Seward Peninsula
Tundra
Alaska
genre_facet Climate change
Seward Peninsula
Tundra
Alaska
op_source Environmental Research Letters
volume 16, issue 8, page 085005
ISSN 1748-9326
op_rights http://creativecommons.org/licenses/by/4.0
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1748-9326/ac1291
container_title Environmental Research Letters
container_volume 16
container_issue 8
container_start_page 085005
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