Environmental Modelling, Software and Decision Support

Environmental Modelling, Software and Decision Support

Author: Anthony J. Jakeman

Publisher: Elsevier

Published: 2008-09-11

Total Pages: 387

ISBN-13: 0080915302

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The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. - State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers - Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage - Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions


Expert Knowledge and Its Application in Landscape Ecology

Expert Knowledge and Its Application in Landscape Ecology

Author: Ajith H. Perera

Publisher: Springer Science & Business Media

Published: 2011-10-21

Total Pages: 313

ISBN-13: 1461410347

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Typically, landscape ecologists use empirical observations to conduct research and devise solutions for applied problems in conservation and management. In some instances, they rely on advice and input of experienced professionals in both developing and applying knowledge. Given the wealth of expert knowledge and the risks of its informal and implicit applications in landscape ecology, it is necessary to formally recognize and characterize expert knowledge and bring rigor to methods for its applications. In this context, the broad goal of this book is to introduce the concept of expert knowledge and examine its role in landscape ecological applications. We plan to do so in three steps: First we introduce the topic to landscape ecologists, explore salient characteristics of experts and expert knowledge, and describe methods used in capturing and formalizing that knowledge. Second, we present examples of research in landscape ecology from a variety of ecosystems and geographic locations that formally incorporate expert knowledge. These case studies address a range of topics that will interest landscape ecologists and other resource management and conservation professionals including the specific roles of expert knowledge in developing, testing, parameterizing, and applying models; estimating the uncertainty in expert knowledge; developing methods of formalizing and incorporating expert knowledge; and using expert knowledge as competing models and a source of alternate hypotheses. Third, we synthesize the state of knowledge on this topic and critically examine the advantages and disadvantages of incorporating expert knowledge in landscape ecological applications. The disciplinary subject areas we address are broad and cover much of the scope of contemporary landscape ecology, including broad-scale forest management and conservation, quantifying forest disturbances and succession, conservation of habitats for a range of avian and mammal species, vulnerability and conservation of marine ecosystems, and the spread and impacts of invasive plants. This text incorporates the collective experience and knowledge of over 35 researchers in landscape ecology representing a diverse range of disciplinary subject areas and geographic locations. Through this text, we will catalyze further thought and investigations on expert knowledge among the target readership of researchers, practitioners, and graduate students in landscape ecology.


Identifying Uncertainty in Practitioner Knowledge of Boreal Forest Succession in Ontario Through a Workshop Approach

Identifying Uncertainty in Practitioner Knowledge of Boreal Forest Succession in Ontario Through a Workshop Approach

Author: M. Drescher

Publisher:

Published: 2006

Total Pages: 86

ISBN-13:

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Expert knowledge of boreal forest succession is used widely in forest management in boreal Ontario, but the level of uncertainty of this mainly implicit knowledge is unknown. Therefore, in this study expert knowledge of boreal forest succession was elicited, it's uncertainty quantified, and the sources of this uncertainty investigated. This report consists of four main parts. The introduction presents examples of the use of forest succession knowledge in forest management in boreal Ontario. The methods section provides background information about the concept of knowledge uncertainty and possible assessment methods and describes the characteristics of experts. The results section details the quantification of the various components of uncertainty and describes the distribution of uncertainty. The conclusions section presents the strengths and weaknesses of this study and discusses the implications of the study results for forest policy and management in Ontario.--Includes text from document.


Boreal Forest Succession in Ontario

Boreal Forest Succession in Ontario

Author: M. Drescher

Publisher:

Published: 2008

Total Pages: 68

ISBN-13:

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Forest succession can be viewed, from a tree-centric point of view, as the temporal pattern of changes in tree species composition that occur following a disturbance that destroyed the existing forest cover, and includes the initial re-establishment of the forest cover. Fire is one such natural disturbance in boreal forests. The broad goal of the work reported here was to explore the body of boreal forest succession knowledge, to elucidate its strengths, weaknesses, and gaps, and to quantify its levels of uncertainty.--Document.


Using BFOLDS to Characterize Fire Regimes

Using BFOLDS to Characterize Fire Regimes

Author: Wenbin Cui

Publisher:

Published: 2009

Total Pages: 54

ISBN-13:

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Forest fires are the result of complex interactions of weather and vegetation and are highly probabilistic. Characterizing forest fire regimes, the synoptic properties of spatio-temporal variability of individual fires, is important for many forest and fire management purposes. BFOLDS 1.0 (Boreal Forest Landscape Dynamics Simulator) simulates forest fires and forest succession for large areas over long periods. Resulting fire regime simulations are emergent properties of many stochastic and spatially explicit model processes as well as user assumptions and input data. Here the authors demonstrate the use of BFOLDS in characterizing a forest fire regime, using a large boreal ecoregion as an example and readily available forest cover and spatial weather data as primary input.--Document.


Size Class Distribution and Spatial Proximity of Fires in a Simulated Boreal Forest Fire Regime in Relation to Ontario's Policy Directions for Emulating Natural Disturbance

Size Class Distribution and Spatial Proximity of Fires in a Simulated Boreal Forest Fire Regime in Relation to Ontario's Policy Directions for Emulating Natural Disturbance

Author: Ajith Perera

Publisher:

Published: 2009

Total Pages: 40

ISBN-13:

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In the other three ecoregions, it underestimated fire size distribution under all simulation scenarios. The guide's direction for spatial proximity was not congruent with results from any simulated scenario in any ecoregion. However, the probability of spatial proximity was low in all but one ecoregion. In addition to the assessment of NDPE guide's direction, this study demonstrates that fire size distributions appear to be unique to ecoregions, and that these can vary further if the fire weather conditions change."--Abstract