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http://dx.doi.org/10.5141/ecoenv.2014.007

Geostatistical analyses and spatial distribution patterns of tundra vegetation in Council, Alaska  

Park, Jeong Soo (School of Biological Sciences, Seoul National University)
Lee, Eun Ju (School of Biological Sciences, Seoul National University)
Publication Information
Journal of Ecology and Environment / v.37, no.2, 2014 , pp. 53-60 More about this Journal
Abstract
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.
Keywords
alaska; arctic tundra; geostatistics; spatial patterns; vegetation;
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  • Reference
1 Peterson KM, Billings WD. 1980. Tundra vegetational patterns and succession in relation to microtopography near Atkasook, Alaska. Arct Alp Res 12: 473-482.   DOI   ScienceOn
2 Post WM, Emanuel WR, Zinke PJ, Stangenberger AG. 1982. Soil Carbon Pools and World Life Zones. Nature 298:156-159.   DOI
3 Rew LJ, Cousens RD. 2001. Spatial distribution of weeds in arable crops: are current sampling and analytical methods appropriate? Weed Res 41: 1-18.   DOI   ScienceOn
4 Spadavecchia L, Williams M, Bell R, Stoy PC, Huntley B, Van Wijk MT. 2008. Topographic controls on the leaf area index and plant functional type of a tundra ecosystem. J Ecol 96: 1238-1251.   DOI   ScienceOn
5 Tiner RW. 1991. The concept of a hydrophyte for wetland identification. Bioscience 41: 236-247.   DOI   ScienceOn
6 Viereck LA, Dyrness CT, Batten AR, Wenzlick KJ. 1992. The Alaska vegetation classification. USDA, Washington, DC.
7 Heisel T, Andreasen C, Ersboll AK. 1996. Annual weed distributions can be mapped with kriging. Weed Res 36: 325-337.   DOI
8 Daubenmire R. 1959. A canopy coverage method of vegetational analysis. Northwest Sci 33: 43-64.
9 Faith DP, Minchin PR, Belbin L. 1987. Compositional dissimilarity as a robust measure of ecological distance. Vegetatio 69: 57-68.   DOI
10 Goovaerts P. 1999. Geostatistics in soil science: state-of-theart and perspectives. Geoderma 89: 1-45.   DOI   ScienceOn
11 Heisel T, Ersboll AK, Andreasen C. 1999. Weed mapping with co-kriging using soil properties. Precision Agric 1: 39-52.   DOI   ScienceOn
12 Hill MO, Gauch HG Jr. 1980. Detrended correspondence analysis: an improved ordination technique. Vegetatio 42: 47-58.   DOI   ScienceOn
13 Jacquemart A-L. 1996. Vaccinium uliginosum L. J Ecol 84: 771-785.   DOI   ScienceOn
14 Johnson PL, Vogel TC. 1966. Vegetation of the Yukon Flats region, Alaska (No. CRREL-RR-209). Cold regions research and engineering lab, Hanover, NH.
15 Jongman RHG, Ter Braak CJF, van Tongeren OFR. 1995. Data analysis in community and landscape ecology. Cambridge University Press, Cambrige.
16 Jurado-Exposito M, Lopez-Granados F, Gonzalez-Andujar JL, Garcia-Torres L. 2004. Spatial and temporal analysis of Convolvulus arvensis L. populations over four growing seasons. Eur J Agron 21: 287-296.   DOI   ScienceOn
17 Karlsson PS. 1987a. Micro‐site performance of evergreen and deciduous dwarf shrubs in a subarctic heath in relation to nitrogen status. Ecography 10: 114-119.   DOI
18 Karlsson PS. 1987b. Niche differentiation with respect to light utilization among coexisting dwarf shrubs in a subarctic woodland. Pol Biol 8: 35-39.   DOI
19 Bjørnstad ON, Falck W. 2001. Nonparametric spatial covariance functions: estimation and testing. Environ Ecol Stat 8: 53-70.   DOI
20 Allen TR, Walsh SJ, Cairns DM, Messina JP, Butler DR, Malanson GP. 2004. Geostatistics and spatial analysis: characterizing form and pattern at the alpine treeline. In: Geographic Information Science and Mountain Geomorphology (Bishop M, Shroder JF, eds). Springer, New York, pp 189-218.
21 Bregt AK, Gesink HJ, Alkasuma. 1992. Mapping the conditional probability of soil variables. Geoderma 53: 15-29.   DOI   ScienceOn
22 Bekryaev RV, Polyakov IV, Alexeev VA. 2010. Role of polar amplification in long-term surface air temperature variations and modern Arctic warming. J Clim 23: 3888-3906.   DOI   ScienceOn
23 Bivand R. 2013. spdep: spatial dependence: weighting schemes, statistics and models. R package version 0.5-56. http://cran.r-project.org/web/packages/spdep/index.html.
24 Bjørnstad ON, Stenseth NC, Saitoh T. 1999. Synchrony and scaling in dynamics of voles and mice in northern Japan. Ecology 80: 622-637.   DOI
25 Burgess TM, Webster R. 1980. Optimal interpolation and isarithmic mapping of soil properties. II. Block kriging. J Soil Sci 31: 333-341.   DOI
26 Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE. 1994. Field-scale variability of soil properties in central Iowa soils. Soil Sci Soc Am J 58: 1501-1511.   DOI
27 Chapin III FS, Shaver GR. 1985. Individualistic growth response of tundra plant species to environmental manipulations in the field. Ecology 66: 564-576.   DOI   ScienceOn
28 Comiso JC, Parkinson CL, Gersten R, Stock L. 2008. Accelerated decline in the Arctic sea ice cover. Geophys Res Lett 35: L01703.
29 Cressie N. 1993. Statistics for spatial data. Wiley, New York.
30 Zhao X, Wang Q, Kakubari Y. 2009. Stand-scale spatial patterns of soil microbial biomass in natural cold-temperate beech forests along an elevation gradient. Soil Biol Biochem 41: 1466-1474.   DOI
31 Oksanen J, Kindt R, Legendre P, O'Hara B, Stevens MHH, Oksanen MJ, Suggests M. 2007. The vegan package. Community ecology package Version: 1.8-5. http://cran.rproject.org/.
32 KOPRI. 2013. Establishment of circum arctic permafrost environment change monitoring network and future prediction techniques (CAPEC Project). Minstry of Science ICT & Future Planning, Seoul.
33 Lindsey AA. 1956. Sampling methods and community attributes in forest ecology. For Sci 2: 287-296.
34 Nordbo E, Christensen S, Kristensen K, Walter M. 1994. Patch spraying of weed in cereal crops. Aspects Appl Biol 40: 325-334.
35 Britton ME. 1967. Vegetation of the arctic tundra. In: Arctic Biology (Hansen HP, ed). Oregon State University Press, Corvallis, pp 67-130.
36 Isaaks EH, Srivastava RM. 1989. An Introduction to Applied Geostatistics. Oxford University Press, New York, NY.
37 Strandberg M, Johansson M. 1999. Uptake of nutrients in Calluna vulgaris seed plants grown with and without mycorrhiza. For Ecol Manage 114: 129-135.   DOI   ScienceOn
38 Ribeiro PJ, Diggle PJ. 2001. geoR: A package for geostatistical analysis. R News 1: 14-18.