Applications of Regression Kriging and GIS in Detecting the Variation in Leaf Nitrogen and Phosphorus of Spruce in Europe

The leaf nitrogen and phosphorus are considered the major limitations of the photosynthetic process, reflecting the quality and suitability of habitation. The multidimensional factors of ecosystem have been a great barrier to discover the biochemical reaction of plants to their environment. In this research, a novel approach integrated with regression kriging and GIS is applied to explore the pattern of these leaf minerals in relation to spatial variability in climate and landscape (urban radiation and forest shield). Europe was chosen as the study area owing to the availability of spruce leaf data and ancillary grids. The advantage of this method is based on the fact that a map-based orthogonal space and universal kriging improve the accuracy and resolution in mapping the spatial distribution of leaf minerals.

[1]  Kemal Sulhi Gundogdu,et al.  Spatial analyses of groundwater levels using universal kriging , 2007 .

[2]  Tomislav Hengl,et al.  Heavy metals in European soils: A geostatistical analysis of the FOREGS geochemical database , 2008 .

[3]  M. Joo,et al.  Geographic variation of spirometry use in newly diagnosed COPD. , 2008, Chest.

[4]  P. Reich,et al.  Global patterns of plant leaf N and P in relation to temperature and latitude. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Helmut Hillebrand,et al.  Global analysis of nitrogen and phosphorus limitation of primary producers in freshwater, marine and terrestrial ecosystems. , 2007, Ecology letters.

[6]  Tomislav Hengl,et al.  A practical guide to geostatistical mapping of environmental variables , 2007 .

[7]  Rachel Mosher Henke,et al.  Geographic Variation , 2011, Medical care research and review : MCRR.

[8]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[9]  Jennifer L. Dungan,et al.  A balanced view of scale in spatial statistical analysis , 2002 .

[10]  J. V. Smaalen,et al.  Application of GIS and logistic regression to fossil pollen data in modelling present and past spatial distribution of the Colombian savanna , 2007 .

[11]  M. Graham.  CONFRONTING MULTICOLLINEARITY IN ECOLOGICAL MULTIPLE REGRESSION , 2003 .

[12]  P. Schleppi,et al.  Multivariate interpretation of the foliar chemical composition of Norway spruce (Picea abies) , 2000, Plant and Soil.

[13]  P. Vitousek,et al.  Changing sources of nutrients during four million years of ecosystem development , 1999, Nature.