Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska

Arctic tundra is becoming greener and shrubbier due to recent warming. This is impacting climate feedbacks and wildlife, yet the spatial distribution of plant biomass in tundra ecosystems is uncertain. In this study, we mapped plant and shrub above-ground biomass (AGB; kg m ^−2 ) and shrub dominance...

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Published in:Environmental Research Letters
Main Authors: Logan T Berner, Patrick Jantz, Ken D Tape, Scott J Goetz
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2018
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/aaaa9a
https://doaj.org/article/37a8d075f74e4b83bce1ad015871e0b6
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spelling ftdoajarticles:oai:doaj.org/article:37a8d075f74e4b83bce1ad015871e0b6 2023-09-05T13:16:05+02:00 Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska Logan T Berner Patrick Jantz Ken D Tape Scott J Goetz 2018-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/aaaa9a https://doaj.org/article/37a8d075f74e4b83bce1ad015871e0b6 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/aaaa9a https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/aaaa9a 1748-9326 https://doaj.org/article/37a8d075f74e4b83bce1ad015871e0b6 Environmental Research Letters, Vol 13, Iss 3, p 035002 (2018) landsat normalized difference vegetation index (NDVI) google earth engine carbon stock arctic greening climate change Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2018 ftdoajarticles https://doi.org/10.1088/1748-9326/aaaa9a 2023-08-13T00:37:40Z Arctic tundra is becoming greener and shrubbier due to recent warming. This is impacting climate feedbacks and wildlife, yet the spatial distribution of plant biomass in tundra ecosystems is uncertain. In this study, we mapped plant and shrub above-ground biomass (AGB; kg m ^−2 ) and shrub dominance (%; shrub AGB/plant AGB) across the North Slope of Alaska by linking biomass harvests at 28 field sites with 30 m resolution Landsat satellite imagery. We first developed regression models ( p < 0.01) to predict plant AGB ( r ^2 = 0.79) and shrub AGB ( r ^2 = 0.82) based on the normalized difference vegetation index (NDVI) derived from imagery acquired by Landsat 5 and 7. We then predicted regional plant and shrub AGB by combining these regression models with a regional Landsat NDVI mosaic built from 1721 summer scenes acquired between 2007 and 2016. Our approach employed a Monte Carlo uncertainty analysis that propagated sampling and sensor calibration errors. We estimated that plant AGB averaged 0.74 (0.60, 0.88) kg m ^−2 (95% CI) and totaled 112 (91, 135) Tg across the region, with shrub AGB accounting for ~43% of regional plant AGB. The new maps capture landscape variation in plant AGB visible in high resolution satellite and aerial imagery, notably shrubby riparian corridors. Modeled shrub AGB was strongly correlated with field measurements of shrub canopy height at 25 sites ( r _s = 0.88) and with a regional map of shrub cover ( r _s = 0.76). Modeled plant AGB and shrub dominance were higher in shrub tundra than graminoid tundra and increased between areas with the coldest and warmest summer air temperatures, underscoring the fact that future warming has the potential to greatly increase plant AGB and shrub dominance in this region. These new biomass maps provide a unique source of ecological information for a region undergoing rapid environmental change. Article in Journal/Newspaper Arctic Greening Arctic Climate change north slope Tundra Alaska Directory of Open Access Journals: DOAJ Articles Arctic Environmental Research Letters 13 3 035002
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic landsat
normalized difference vegetation index (NDVI)
google earth engine
carbon stock
arctic greening
climate change
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
spellingShingle landsat
normalized difference vegetation index (NDVI)
google earth engine
carbon stock
arctic greening
climate change
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
Logan T Berner
Patrick Jantz
Ken D Tape
Scott J Goetz
Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
topic_facet landsat
normalized difference vegetation index (NDVI)
google earth engine
carbon stock
arctic greening
climate change
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Science
Q
Physics
QC1-999
description Arctic tundra is becoming greener and shrubbier due to recent warming. This is impacting climate feedbacks and wildlife, yet the spatial distribution of plant biomass in tundra ecosystems is uncertain. In this study, we mapped plant and shrub above-ground biomass (AGB; kg m ^−2 ) and shrub dominance (%; shrub AGB/plant AGB) across the North Slope of Alaska by linking biomass harvests at 28 field sites with 30 m resolution Landsat satellite imagery. We first developed regression models ( p < 0.01) to predict plant AGB ( r ^2 = 0.79) and shrub AGB ( r ^2 = 0.82) based on the normalized difference vegetation index (NDVI) derived from imagery acquired by Landsat 5 and 7. We then predicted regional plant and shrub AGB by combining these regression models with a regional Landsat NDVI mosaic built from 1721 summer scenes acquired between 2007 and 2016. Our approach employed a Monte Carlo uncertainty analysis that propagated sampling and sensor calibration errors. We estimated that plant AGB averaged 0.74 (0.60, 0.88) kg m ^−2 (95% CI) and totaled 112 (91, 135) Tg across the region, with shrub AGB accounting for ~43% of regional plant AGB. The new maps capture landscape variation in plant AGB visible in high resolution satellite and aerial imagery, notably shrubby riparian corridors. Modeled shrub AGB was strongly correlated with field measurements of shrub canopy height at 25 sites ( r _s = 0.88) and with a regional map of shrub cover ( r _s = 0.76). Modeled plant AGB and shrub dominance were higher in shrub tundra than graminoid tundra and increased between areas with the coldest and warmest summer air temperatures, underscoring the fact that future warming has the potential to greatly increase plant AGB and shrub dominance in this region. These new biomass maps provide a unique source of ecological information for a region undergoing rapid environmental change.
format Article in Journal/Newspaper
author Logan T Berner
Patrick Jantz
Ken D Tape
Scott J Goetz
author_facet Logan T Berner
Patrick Jantz
Ken D Tape
Scott J Goetz
author_sort Logan T Berner
title Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
title_short Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
title_full Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
title_fullStr Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
title_full_unstemmed Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
title_sort tundra plant above-ground biomass and shrub dominance mapped across the north slope of alaska
publisher IOP Publishing
publishDate 2018
url https://doi.org/10.1088/1748-9326/aaaa9a
https://doaj.org/article/37a8d075f74e4b83bce1ad015871e0b6
geographic Arctic
geographic_facet Arctic
genre Arctic Greening
Arctic
Climate change
north slope
Tundra
Alaska
genre_facet Arctic Greening
Arctic
Climate change
north slope
Tundra
Alaska
op_source Environmental Research Letters, Vol 13, Iss 3, p 035002 (2018)
op_relation https://doi.org/10.1088/1748-9326/aaaa9a
https://doaj.org/toc/1748-9326
doi:10.1088/1748-9326/aaaa9a
1748-9326
https://doaj.org/article/37a8d075f74e4b83bce1ad015871e0b6
op_doi https://doi.org/10.1088/1748-9326/aaaa9a
container_title Environmental Research Letters
container_volume 13
container_issue 3
container_start_page 035002
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