Abstract
Contrary to the general “greening of the Arctic”, the Siberian Indigirka Lowlands show strong “browning” (a decrease in the Normalized Difference Vegetation Index or “NDVI”) in various recent satellite records. Since greening and browning are generally indicative of increases and losses in photosynthetically active biomass, this browning trend may have implications for the carbon balance and vegetation of this Arctic tundra region. To explore potential mechanisms responsible for this trend break from general Arctic greening, we studied timeseries of Landsat summer maximum NDVI, weather data, and high-resolution maps of vegetation compositional change, topography, geomorphology and hydrology. We find that a significant proportion of browning (lower summer NDVI) is explained by moisture dynamics, with high snow depths and resulting floods as well as summer drought coinciding with low NDVI. Relations between seasonal weather variables and NDVI are spatially heterogeneous, with floodplains, drained thaw lake basins and Yedoma ridges showing different patterns of association with weather variables. Low summer NDVI after high snowfall was particularly evident in floodplains, likely explained by early summer floods. Local small-scale vegetation changes explained only small amounts of variance in browning rates in Landsat NDVI. Local expansion of Sphagnum vegetation in particular may have contributed to recent browning of our study site, but higher resolution NDVI timeseries are necessary to accurately constrain the role of small-scale vegetation shifts. Overall, associations identified in this study suggest that future increases in Arctic precipitation variability and extremes may limit tundra greening, but to different extents even across comparatively small topographical contrasts.
Original language | English |
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Article number | e2022JG007330 |
Pages (from-to) | 1-20 |
Number of pages | 20 |
Journal | Journal of Geophysical Research: Biogeosciences |
Volume | 128 |
Issue number | 7 |
Early online date | 19 Jul 2023 |
DOIs | |
Publication status | Published - Jul 2023 |
Bibliographical note
Funding Information:This work was funded by the Netherlands Polar Programme of the Dutch Research Council (NWO) under grant ALWPP.2016.008. The authors thank Leopold Romeijn of Satellite Imaging Corporation for consultation on atmospheric compensation of WorldView and GeoEye images.
Funding Information:
This work was funded by the Netherlands Polar Programme of the Dutch Research Council (NWO) under grant ALWPP.2016.008. The authors thank Leopold Romeijn of Satellite Imaging Corporation for consultation on atmospheric compensation of WorldView and GeoEye images.
Publisher Copyright:
© 2023. The Authors.
Funding
This work was funded by the Netherlands Polar Programme of the Dutch Research Council (NWO) under grant ALWPP.2016.008. The authors thank Leopold Romeijn of Satellite Imaging Corporation for consultation on atmospheric compensation of WorldView and GeoEye images. This work was funded by the Netherlands Polar Programme of the Dutch Research Council (NWO) under grant ALWPP.2016.008. The authors thank Leopold Romeijn of Satellite Imaging Corporation for consultation on atmospheric compensation of WorldView and GeoEye images.
Funders | Funder number |
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Leopold Romeijn of Satellite Imaging Corporation | |
Netherlands Polar Programme of the Dutch Research Council | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | ALWPP.2016.008 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
Keywords
- Arctic tundra
- greening
- Landsat
- NDVI
- precipitation
- Siberia