Data from: Thermal segregation drives patterns of alder and willow expansion in a montane ecosystem subject to climate warming ...
1.Tall-shrub expansion into low-statured communities, a hallmark of recent vegetative change across tundra ecosystems, involves three major genera: Alnus, Betula, and Salix. Which genus expands most into tundra landscapes will determine ecosystem properties. 2.We show that Alnus and Salix shrubs seg...
| Main Authors: | , , , , , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.dc863 https://datadryad.org/stash/dataset/doi:10.5061/dryad.dc863 |
| Summary: | 1.Tall-shrub expansion into low-statured communities, a hallmark of recent vegetative change across tundra ecosystems, involves three major genera: Alnus, Betula, and Salix. Which genus expands most into tundra landscapes will determine ecosystem properties. 2.We show that Alnus and Salix shrubs segregate thermal space (elevation x insolation) and colonize tundra landscapes differently in response to climate warming, thereby replacing different tundra types. 3.Vegetative change estimated from repeat photography should account for hill-slope. Methodologically, slope determines surface area estimated from orthophotos as projected pixel area times secant of pixel slope. Ecologically, the change in thermally-responsive vegetative area is sensitive to terrain steepness, scaling as the cosecant of hill-slope, so that studies should expect more shrub expansion in areas of shallow slopes than steep slopes. 4.Repeat aerial photography in Alaska's Chugach Mountains from 1972-2012 orthorectified on high-resolution ... : Elevation, slope, aspect, and vegetation classes for 1972 and 2012Three sub-areas covering a total projected area of about 14 ha in the western Chugach Mountains of southcentral Alaska were digitized and attributed by vegetation class for 1972 and 2012 from a series of orthophotos. A 1m pixel digital elevation model provided elevation, slope, and aspect (DEM variables). This file contains the DEM attributes and vegetation classification for each 1m pixel.FullData.csv2000 random points for statistical modeling2000 random points across the three study sub-areas were selected for statistical modeling in binomial generalized linear mixed models. These points have digital elevation model (DEM) variables (elevation, slope, aspect, potential insolation in four seasons) and vegetation classifications for 1972 and 2012.SamplePoints.csvSoil pit moisture dataSoil pits with location and moisture content. This file has the location data for temperature data loggers listed in the file Soil Temperature data ... |
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