Microarray applications for the study of gene expression are becoming accessible for researchers in more and more systems. Applications from field or laboratory experiments are often complicated by the need to superimpose sample pairing for two-color arrays on experimental designs that may already be complex. For example, split-plot designs are commonly used in biological systems where experime...

Agroforestry has large potential for carbon (C) sequestration while providing many economical, social, and ecological benefits via its diversified products. Airborne lidar is considered as the most accurate technology for mapping aboveground biomass (AGB) over landscape levels. However, little research in the past has been done to study AGB of agroforestry systems using airborne lidar data. Foc...

Methods for proving functional limit laws are developed for sequences of stochastic processes which allow a recursive distributional decomposition either in time or space. Our approach is an extension of the so-called contraction method to the space C[0, 1] of continuous functions endowed with uniform topology and the space D[0, 1] of càdlàg functions with the Skorokhod topology. The contractio...

Holmström, H. 2001. Data acquisition for forestry planning by remote sensing based sample plot imputation. Doctoral dissertation. ISSN 1401-6230, ISBN 91-576-6086-7. In forestry planning, accurate description of the state of the forests is essential. Advanced planning models often require input data with high resolution, i.e. data at the single-tree level. Field inventory procedures based on sa...

This paper presents ‘‘contribution to sample variance plot’’, a natural extension of the ‘‘contribution to the sample mean plot’’, which is a graphical tool for global sensitivity analysis originally proposed by Sinclair. These graphical tools have a great potential to display graphically sensitivity information given a generic input sample and its related model realizations. The contribution t...

Abstract Forest inventories are often carried out with a particular design, consisting of multi-level structure observation plots spread over larger domain and fixed plot design exact locations within these plots. Consequently, the resulting data collected intensively equal size but much less intensity at spatial scales. The likely to be spatially correlated both between plots, effects extendin...

Field and ground layer vegetation in a mature Norway spruce (Picea abies L.) forest of Myrtillus-type in Kuorevesi, southern Finland, was sampled on 31 plots of sizes 0.5, 1 and 2 m to find optimal balance among sampling effort, number of observed species, and accuracy of mean species-cover estimates. Rarefaction and bootstrapping were used in the data analysis. According to the results, the ad...