Geostatistical analyses and spatial distribution patterns of tundra vegetation in Council, Alaska
The arctic tundra is an important ecosystem in terms of the organic carbon cycle and climate change, and therefore, detailed analysis of vegetation distribution patterns is required to determine their association. We used grid-sampling method and applied geostatistics to analyze spatial...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Ecological Society of Korea
2014-06-01
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| Series: | Journal of Ecology and Environment |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.5141/ecoenv.2014.007 |
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| Summary: | The arctic tundra is an important
ecosystem in terms of the organic carbon cycle and climate change,
and therefore, detailed analysis of vegetation distribution patterns
is required to determine their association. We used grid-sampling
method and applied geostatistics to analyze spatial variability and
patterns of vegetation within a two-dimensional space, and calculated
the Moran’s I statistics and semivariance to assess the
spatial autocorrelation of vegetation. Spatially autocorrelated
vegetation consisted of moss, Eriophorum vaginatum , Betula nana ,
and Rubus chamaemorus . Interpolation maps and cross-correlograms
revealed spatial specificity of Carex aquatilis and a strong negative
spatial correlation between E. vaginatum and C. aquatilis . These
results suggest differences between the species in water requirements
for survival in the arctic tundra. Geostatistical methods could offer
valuable information for identifying the vegetation spatial
distribution. |
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| ISSN: | 2287-8327 2287-8327 |