4.7 Article

Spatiotemporal dynamics of encroaching tall vegetation in timberline ecotone of the Polar Urals Region, Russia

Journal

ENVIRONMENTAL RESEARCH LETTERS
Volume 17, Issue 1, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1748-9326/ac3694

Keywords

encroachment; ecotone; patterns; microtopography; snow

Funding

  1. National Science Foundation Office of Polar Programs [1725654, 1724868, 1724633, 1724786]
  2. U.S. Civilian Research & Development Foundation [RUB1-7032-EK-11]
  3. Russian Foundation for Basic Research [RFBR-19-05-00756]
  4. Directorate For Geosciences [1725654] Funding Source: National Science Foundation
  5. Directorate For Geosciences
  6. Office of Polar Programs (OPP) [1724786, 1724633] Funding Source: National Science Foundation
  7. Directorate For Geosciences
  8. Office of Polar Programs (OPP) [1724868] Funding Source: National Science Foundation
  9. Office of Polar Programs (OPP) [1725654] Funding Source: National Science Foundation

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This study reveals that the expansion of Siberian larch into the tundra of the Polar Urals is spatially heterogeneous and influenced by environmental factors such as topography and snow cover. Trees tend to cluster in areas with convex surfaces and their locations are linked to snow distribution. As the climate warms, trees have expanded uphill and high snow depth areas have shifted upward, creating favorable conditions for recent tree growth.
Previous studies discovered a spatially heterogeneous expansion of Siberian larch into the tundra of the Polar Urals (Russia). This study reveals that the spatial pattern of encroachment of tree stands is related to environmental factors including topography and snow cover. Structural and allometric characteristics of trees, along with terrain elevation and snow depth were collected along a transect 860 m long and 80 m wide. Terrain curvature indices, as representative properties, were derived across a range of scales in order to characterize microtopography. A density-based clustering method was used here to analyze the spatial and temporal patterns of tree stems distribution. Results of the topographic analysis suggest that trees tend to cluster in areas with convex surfaces. The clustering analysis also indicates that the patterns of tree locations are linked to snow distribution. Records from the earliest campaign in 1960 show that trees lived mainly at the middle and bottom of the transect across the areas of high snow depth. As trees expanded uphill following a warming climate trend in recent decades, the high snow depth areas also shifted upward creating favorable conditions for recent tree growth at locations that were previously covered with heavy snow. The identified landscape signatures of increasing tall vegetation, and the effects of microtopography and snow may facilitate the understanding of treeline dynamics at larger scales.

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