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October 2012 - April 2016
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Publications (72)
Many problems of modern forest ecology require analysis of the conjugated dynamics of processes occurring at different spatio-temporal scales of the functioning of plant communities and soils resulted from their interaction under the influence of all edaphic and anthropogenic factors. Mathematical models can be an effective tool for such analysis....
A model of rhizosphere priming effect under impact of root exudate input into rhizosphere soil was developed as an important process of the plant-soil interaction. The model was based on the concept of nitrogen (N) mining, compensating for the N scarcity in exudates for microbial growth by accelerating SOM mineralisation. In the model, N deficiency...
In many problems of modern forest ecology, it is necessary to analyze the conjugated dynamics of processes occurring at different spatio-temporal scales of the functioning of plant communities and soils resulted from their interaction under the influence of all edaphic and anthropogenic factors. Mathematical models can be an efficient tool for such...
Carbon allocation is an important mechanism through which plants respond to environmental changes. To enhance our understanding of maximizing carbon uptake by controlling planting densities, the carbon allocation module of a process-based model, TRIPLEX-Management, was modified and improved by introducing light, soil water, and soil nitrogen availa...
The article provides primary data on repeated tree measurements collected during two censuses on a permanent sampling plot (440 m × 200 m) established in the old-growth polydominant broad-leaved forest in the Kaluzhskie Zaseki State Nature Reserve (centre of European Russia). The time span between the inventories was 30 years, and a total of 11 578...
Investigation of relationships between biomass of different plant compartments is important because their varying turnover rates affect the amount and composition of aboveground and belowground litter, which has a direct effect on nutrient cycling and carbon accumulation in soil. A study of biomass partitioning amongst compartments of the bilberry...
Three competition indices were tested against experimental data on the growth of individual trees in mapped forest stands and outputs of spatially explicit, process-based models of competition. The comparison showed the fundamental importance of taking into account the spatial structure of stands and, particularly, the relative spatial locations of...
Purpose. This study is aimed to develop a model of priming effect (accelerated mineralisation of soil organic matter (SOM)) induced by root exudate input into nitrogen (N) limited rhizosphere soil as a typical case for most terrestrial ecosystems. This ecologically important process in the functioning of the “plant-soil” system was parameterized fo...
The CAMPUS-S model was developed to simulate ground-layer vegetation populations in forest ecosystems and their contribution to carbon and nitrogen dynamics. The model uses several modeling techniques: matrix, l-systems and cellular automata modeling. The genetic species-specific features are defined for each ontogenetic stage (L-systems), while th...
To solve the problems of modeling complex ecological, socio-ecological and economic systems, a large number of computer models have been developed, from the simplest ones, which only roughly described the system under investigation, to fairly detailed ones, which allow for studying the behavior of a great number of interacting elements simultaneous...
Ecology is a comparatively young field of natural sciences. It has gained considerable influence and popularity over the last five to six decades. In ecology, interactions between individuals and environmental factors but also among the individuals of a population play an important role. The understanding of forest ecology is important in itself an...
Natural disturbances and disturbances caused by humans are common and frequent features in forest ecosystems and there are also interactions between these two types of disturbances. Some specialised ecosystems even owe their existence and structure to the regular occurrence of disturbances. Given the comparatively long lifetime of managed and natur...
The analysis of plant growth is an important interdisciplinary field of plant science and lays the foundation of individual-based research in forest ecology and management. In the past, knowledge about growth processes was a crucial pre-requisite for sustainable economic planning in forestry, in this day and age, global environmental changes render...
In this chapter, spatial methods, particularly in the field of point process statistics are introduced. These methods have markedly improved our ability to study and measure statistical tree interactions in the last twenty to thirty years. Point process statistics is a universal theory, which is not unique to forest ecology and management but has b...
Since its beginnings in the late 18th century the result of modelling in forest science has always been intriguing, because it allows studying plant populations as they travel through space and time in a time-lapse mode, whereas field and lab-based studies of plant development usually take much time. On the other hand models can only approximate re...
The academic field of forest management and silviculture has a very rich and long tradition, since this subject area once was the cradle of forestry. The methods used were originally based on experience in agriculture which later gave way to ecological principles and can be described as resource management for the purpose of providing goods and ser...
Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. For the first time this book integrates three main fields of forest ecology and ma...
By now, most of the forests in the European part of Russia have been transformed by drastic fires and clear cutting. Significant areas of primary dark coniferous forests in the Northern Urals have been replaced by either birch or aspen stands. These communities pass different stages of secondary succession. They remain understudied despite their wi...
The suggested model is the version of well-known biomass production model 3-PG (Physiological Principles Predicting Growth), with additional modifications of some procedures. In particular, more detailed response functions to air temperature, soil moisture and absorbed nitrogen were introduced. We also implemented new procedure of calculation of li...
К настоящему времени подавляющее большинство лесов европейской части России сильно преобразовано в результате катастрофических пожаров и сплошных рубок. В условиях Северного Урала значительная часть естественных темнохвойных лесов сменилась березовыми или осиновыми древостоями. Эти сообщества находятся на разных стадиях восстановительной сукцессии...
Inferring ecological processes based on the observed spatial tree patterns is an important incentive
for research in spatial forest ecology. Difficulties associated with these studies are that it is
typically impossible to observe the long-term spatial dynamics of a forest stand and most of the available data
relate to spatial patterns representing...
Envelope tests are a popular tool in spatial statistics, where they are used in goodness-of-fit testing. These tests graphically compare an empirical function T(r) with its simulated counterparts from the null model. However, the type I error probability α is conventionally controlled for a fixed distance r only, whereas the functions are inspected...
Background. The most of ecosystem models do not take into account the asymmetry of crowns resulted
from the competition between trees. Thus, the objective of the current study is to estimate quantitatively
the effect of competition on shape and size of tree crowns. Materials and methods. The study was carried out in mixed and pure spruce, pine and...
A soil food web (FW) based approach to modelling the contribution of soil micro- and mesofauna to the formation of soil organic matter (SOM) was developed as an improvement to the soil organic matter model ROMUL, which is the predecessor of Romul_Hum. The main improvement is that the by-products (excrement and necromass) of soil micro- and mesofaun...
Uneven-aged forest management is suggested to be a sustainable management alternative in boreal forests, but knowledge on applicable harvest intensities is very limited as majority of the studies has focused on even-aged management practices. The ecosystem model EFIMOD was used to assess the effect of selection cuttings on ecosystem production, car...
Abstract Model testing is a central step of spatial point pattern analysis, which allows ecologists to judge if their data agree with ecological hypotheses. We present a simple and elegant solution of a challenging problem: the construction of a goodness‐of‐fit envelope test with prescribed significance level α. Our new Analytical Global Envelope (...
This paper reviews recent advances made in testing in spatial statistics and discussed at the Spatial Statistics conference in Avignon 2015. The rank and directional quantile envelope tests are discussed and practical rules for their use are provided. These tests are global envelope tests with an appropriate type I error probability. Two novel exam...
The paper gives an overview of methods for estimating the parameters of random point fields with local interaction between points. It is shown that the conventional method of the maximum pseudo-likelihood is a special case of the family of estimation methods based on the use of the auxiliary Markov process, invariant measure of which is the Gibbs p...
Quantitative description of the role of soil fauna in soil organic matter (SOM) formation and dynamics is necessary for further development of SOM modelling. This is especially true for the role of anecic earthworms in SOM formation, which was first observed in the classical investigations of Charles Darwin in 1881. Despite the large number of eart...
Envelope tests are a popular tool in spatial statistics, where they are used in goodness-of-fit testing. These tests graphically compare an empirical function T(r) with its simulated counterparts from the null model. However, the type I error probability α is conventionally controlled for a fixed distance r only, whereas the functions are inspected...
The major part of existing models of belowground competition in mixed forest stands is limited in explaining the spatial distribution of roots as a response to competitive pressure from neighbours and heterogeneity of soil properties. We are presenting a new spatially explicit and multi-layered discrete model of belowground competition, RootInt (RO...
This paper uses the model approach to analyze the horizontal structure of forest stands. The main types of models of random point fields and statistical procedures that can be used to analyze spatial patterns of trees of uneven and even-aged stands are described. We show how modern methods of spatial statistics can be used to address one of the obj...
Envelope tests are a popular tool in spatial statistics, where they are used in goodness-of-fit testing. These tests graphically compare an empirical function T (r) with its simulated counterparts from the null model. However, the type I error probability α is conventionally controlled for a fixed distance r only, whereas the functions are inspecte...
The deviation test belong to core tools in point process statistics, where
hypotheses are typically tested considering differences between an empirical
summary function and its expectation under the null hypothesis, which depend on
a distance variable r. This test is a classical device to overcome the multiple
comparison problem which appears since...
Aims 1. Structure of model must be understandable by biologists and ecologists which are not experienced in modelling. 2. Model must be of simulation type, being based on simple set of relationships and rules. 3. Model must have small amount of parameters which are easily calculated. 4. Model operates on small grid, divided into homogenous cells. T...
The spatial structure of complex forest stands results from competitive interactions among trees which is one of the most important ecological processes influencing forest development. The aim of the study is to incorporate in a new class of random point process models a coherent representation of the competition process driving forest stand dynami...
20.1 Introduction Evolution of knowledge about the structure and driving forces of ecosystem change has led to great advances in ecological modeling. Progress in computing techniques, software engineering, and mathematical tools has simplified the development of methods of investigation of its specific problems. In the past, models were usually cre...
A model of a point process specified by a density with respect to the Poisson measure is developed. The model proposed in the paper is rather flexible because of the choice of the interaction function in a semiparametric form. This allows us to simulate point patterns with various structural properties. Standard analytical properties of the process...
Spatial relationships between trees play an important role in forest ecosystem and its dynamics. These relationships determine how much of the common resources are available for an individual tree and influence the growth and mortality of the tree through a competition process. The way how plants share the available resources determines the mode of...
Spatial pattern analysis provides valuable information on ecological processes. Many ecological systems can be described by marked point processes. One of the key issues in the statistical application of marked point processes is the question of spatial correlations of the marks. Therefore, the first step of analysis is a test of independence of ma...
The aim of the paper is to apply point processes to root data modelling. We propose a new approach to parametric inference when the data are inhomogeneous replicated marked point patterns. We generalize Geyer's saturation point process to a model, which combines inhomogeneity, marks and interaction between the marked points. Furthermore, the inhomo...
A stochastic model is applied to describe the spatial structure of a forest stand. We aim at quantifying the strength of the competition process between the trees in terms of interaction within and between different size classes of trees using multivariate Gibbs point processes with hierarchical interactions introduced in [Högmander, H., Särkkä, A....
Many process-based models of carbon (C) and nitrogen (N) cycles have been developed for northern forest ecosystems. These models are widely used to evaluate the long-term decisions in forest management dealing with effects like particulate pollution, productivity and climate change. Regarding climate change, one of the key questions that have sensi...
The relative purchasing power—i.e., the purchasing power per inhabitant—is one of the key characteristics for businesses deciding
on site selection. Apart from that it also plays a major role in regional planning, pricing policy and market research. In
this study we investigate the spatial correlations for relative purchasing power of the townships...
The paper ‘Modern statistics for spatial point processes’ by Jesper Møller and Rasmus P. Waagepetersen is based on a special invited lecture given by the authors at the 21st Nordic Conference on Mathematical Statistics, held at Rebild, Denmark, in June 2006. At the conference, Antti Penttinen and Eva B. Vedel Jensen were invited to discuss the pape...
Many process-based models on carbon (C) and nitrogen (N) cycles have been developed for northern forest ecosystems. These models are widely used to evaluate the long-term decisions in forest management dealing with effects like particulate pollution, productivity and climate change. Regarding climate change, one of the key questions that have sensi...
A goodness-of-fit test statistic for spatial point processes is proposed and shown to have an asymptotic chi-squared distribution if the underlying point process is Poisson. Simulations demonstrate that the test, when testing for complete spatial randomness, is more sensitive to mixtures of regular and clustered point processes than the tests using...
We introduce a class of spatial point processesinteracting neighbour point (INP) processes, where the density of the process can be written by means of local interactions between a point and subsets of its neighbourhood but where the processes may not be Ripley-Kelly Markov processes with respect to this neighbourhood. We show that the processes ar...
The spatial distribution of root length density (RLD) is important because it affects water and nutrient uptake. It is difficult to obtain reliable estimates of RLD because root systems are very variable and heterogeneous. We identified systematic trends, clustering, and anisotropy as geometrical properties of root systems, and studied their conseq...
A general definition and derivation of the pseudo-likelihood function for marked Gibbs point processes are given. The maximum pseudo-likelihood method is illustrated by fitting some marked models to two data sets. In addition, a simulation study of statistical properties of the estimators is presented.
Pairwise interaction point processes form a useful class of models for spatial point patterns, especially patterns for which the spatial distribution of points is more regular than for a homogeneous planar Poisson process. Several authors have proposed methods for estimating the parameters of a pairwise interaction point process. However, there app...
In this paper we study relations between trunks and tops of pines in natural Siberian forests. By statistical methods we show that the tops tend to deviate in the direction away from the nearest neighbour tree or from a summary of the trees in a given neighbourhood. In an alternative approach we show that the tops deviate into the direction of the...
The points of stationary and isotropic GIBBS point process are marked by exp(corresponding local energy). For the mean mark and two mark product density functions very simple formulae are true which contain the intensity and the pair potential function of the process. Furthermore, there is a close connection between the pair correlation function of...
The eusp point methad yields estimates for the parameters of the stationary hard–core Strauss model using second–order characteristics.Monte Carlo experiments show that this method can compete with other more complicated estimation methods.
A pure plant community with a simple structure of the arrangement of individuals is considered. The stochastic model represented by a Markov random field (MRF), describes a productivity property of the plant community. The parameters of the model may be interpreted as a strength of the competition between plants. The problem of the interplant compe...
