Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010

Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a...

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Main Authors: Duchesne, Rocio R., Chopping, Mark, Tape, Ken D., Wang, Zhuosen, Schaaf, Crystal L.B.
Format: Text
Language:unknown
Published: Montclair State University Digital Commons 2018
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Online Access:https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/192
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spelling ftmontclairstuni:oai:digitalcommons.montclair.edu:earth-environ-studies-facpubs-1191 2023-05-15T15:15:15+02:00 Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010 Duchesne, Rocio R. Chopping, Mark Tape, Ken D. Wang, Zhuosen Schaaf, Crystal L.B. 2018-12-15T08:00:00Z https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/192 unknown Montclair State University Digital Commons https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/192 Department of Earth and Environmental Studies Faculty Scholarship and Creative Works Arctic Boosted Regression Tree (BRT) CANAPI Fractional cover Multi-angle Imaging SpectroRadiometer (MISR) Shrub expansion Tall shrubs Tundra text 2018 ftmontclairstuni 2021-06-27T20:22:40Z Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53% of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1% (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94% of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area. Text Arctic north slope Tundra Alaska Montclair State University Digital Commons Arctic
institution Open Polar
collection Montclair State University Digital Commons
op_collection_id ftmontclairstuni
language unknown
topic Arctic
Boosted Regression Tree (BRT)
CANAPI
Fractional cover
Multi-angle Imaging SpectroRadiometer (MISR)
Shrub expansion
Tall shrubs
Tundra
spellingShingle Arctic
Boosted Regression Tree (BRT)
CANAPI
Fractional cover
Multi-angle Imaging SpectroRadiometer (MISR)
Shrub expansion
Tall shrubs
Tundra
Duchesne, Rocio R.
Chopping, Mark
Tape, Ken D.
Wang, Zhuosen
Schaaf, Crystal L.B.
Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
topic_facet Arctic
Boosted Regression Tree (BRT)
CANAPI
Fractional cover
Multi-angle Imaging SpectroRadiometer (MISR)
Shrub expansion
Tall shrubs
Tundra
description Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53% of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1% (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94% of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area.
format Text
author Duchesne, Rocio R.
Chopping, Mark
Tape, Ken D.
Wang, Zhuosen
Schaaf, Crystal L.B.
author_facet Duchesne, Rocio R.
Chopping, Mark
Tape, Ken D.
Wang, Zhuosen
Schaaf, Crystal L.B.
author_sort Duchesne, Rocio R.
title Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
title_short Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
title_full Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
title_fullStr Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
title_full_unstemmed Changes in Tall Shrub Abundance on the North Slope of Alaska, 2000–2010
title_sort changes in tall shrub abundance on the north slope of alaska, 2000–2010
publisher Montclair State University Digital Commons
publishDate 2018
url https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/192
geographic Arctic
geographic_facet Arctic
genre Arctic
north slope
Tundra
Alaska
genre_facet Arctic
north slope
Tundra
Alaska
op_source Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
op_relation https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/192
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