Vascular plant biomass and herbivore disturbance, but not summer temperature, explain satellite and drone-based NDVI in High Arctic Svalbard

The normalized difference vegetation index (NDVI) is a critical tool for studying Arctic vegetation patterns and changes, but more knowledge is needed about its links with plant biomass and disturbances, especially in sparsely vegetated habitats in the High Arctic. Here, we investigate the relationship between NDVI and vascular plant biomass, summer temperature, goose disturbance, and winter damage in Dryas ridge and moss tundra habitats on Svalbard, all recorded in the corresponding year across a 5-year time series. We test these relationships using mixed-effect models at two spatial resolutions (10 cm and 10 m) and two extents with data from drone and Sentinel-2 imagery. We found that in our plots, an increase in biomass of 100 g m −2 increased NDVI from drone imagery by 0.08 ± 0.03 (95% CI) for Dryas ridge and by 0.04 ± 0.03 for moss tundra. Despite record-warm summers, temperature of the same summer was not associated with NDVI in our time-series. In moss tundra, severe goose disturbance had a negative relationship with drone NDVI in plots, while in Dryas ridge habitat, winter damage had no clear correspondence with NDVI. Our study provides an example of context dependencies highlighted in remote-sensing literature in the Arctic, encouraging future studies to include effects of disturbance on NDVI and to establish habitat-specific relationships with NDVI.

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Publication Details

Journal
Arctic Science
Published
2025-01-01
DOI
https://doi.org/10.1139/as-2024-0033
Citations
2
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
2.60

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article

Vascular plant biomass and herbivore disturbance, but not summer temperature, explain satellite and drone-based NDVI in High Arctic Svalbard

Eeva M. Soininen, Isabell Eischeid, Åshild Ønvik Pedersen, Jakob J. Assmann et al.
2 citations
Arctic Science
Climate change and permafrost
2.60
article

Vascular plant biomass and herbivore disturbance, but not summer temperature, explain satellite and drone-based NDVI in High Arctic Svalbard

Eeva M. Soininen, Isabell Eischeid, Åshild Ønvik Pedersen, Jakob J. Assmann, Nigel G. Yoccoz, Virve Ravolainen, Ingrid Marie Garfelt Paulsen, Jesper Bruun Mosbacher
article en
2 citations

Abstract

The normalized difference vegetation index (NDVI) is a critical tool for studying Arctic vegetation patterns and changes, but more knowledge is needed about its links with plant biomass and disturbances, especially in sparsely vegetated habitats in the High Arctic. Here, we investigate the relationship between NDVI and vascular plant biomass, summer temperature, goose disturbance, and winter damage in Dryas ridge and moss tundra habitats on Svalbard, all recorded in the corresponding year across a 5-year time series. We test these relationships using mixed-effect models at two spatial resolutions (10 cm and 10 m) and two extents with data from drone and Sentinel-2 imagery. We found that in our plots, an increase in biomass of 100 g m −2 increased NDVI from drone imagery by 0.08 ± 0.03 (95% CI) for Dryas ridge and by 0.04 ± 0.03 for moss tundra. Despite record-warm summers, temperature of the same summer was not associated with NDVI in our time-series. In moss tundra, severe goose disturbance had a negative relationship with drone NDVI in plots, while in Dryas ridge habitat, winter damage had no clear correspondence with NDVI. Our study provides an example of context dependencies highlighted in remote-sensing literature in the Arctic, encouraging future studies to include effects of disturbance on NDVI and to establish habitat-specific relationships with NDVI.

Arctic ScienceVol. 11
University of Zurich (CH), Centre for Arctic Gas Hydrate, Environment and Climate (NO), Norwegian Institute of Bioeconomy Research (NO), The FRAM Centre (NO), UiT The Arctic University of Norway (NO), Norwegian Polar Institute (NO)
Tromsø Forskningsstiftelse, Norsk Polarinstitutt
Openalex Percentile: Top 13%
Climate change and permafrost
2.60
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