Titlebook: Individual-based Methods in Forest Ecology and Management; Arne Pommerening,Pavel Grabarnik Textbook 2019 Springer Nature Switzerland AG 2

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ocess statistics, individual-based modelling, plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are accompanied by R code and worked examples.978-3-030-24530-6978-3-030-24528-3

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Introduction,forest ecology and management to interpret the behaviour of forest ecosystems through a bottom-up understanding of interaction processes that start at individual level and eventually lead to important system properties that emerge from individual behaviour. Many publications have demonstrated that t

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Theories and Concepts in Individual-Based Forest Ecology,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 and prepares the ground for sustainable forest management. A number of conceptual theories have been d

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Theories and Concepts in Individual-Based Forest Management,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 services to human societies. With increasing ecological and physiological knowledge forest management m

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Spatial and Individual-Based Modelling,opulations 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 reality. For individual-based forest ecology and management models are of particular importance, since

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Principles of Relative Growth Analysis,cology 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 growth analysis more important than ever. Marks?in point process statistics (Chap.?.) can also repr

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Human Disturbances and Tree Selection Behaviour,hese 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 natural forests, disturbances?are inevitable and, given the global environmental and societal changes of

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Arne Pommerening,Pavel Grabarniktributed graph embeddings. Our setting considers how to update existing node representations from structural graph embedding methods when some additional node attributes are given. To this end, we propose Graph Embedding RetroFitting (GERF), a method that delivers a compound node embedding that foll