Modelling Landscape Dynamics

Modelling Landscape Dynamics PDF

Author: Fivos Papadimitriou

Publisher: Springer Nature

Published: 2024-01-02

Total Pages: 141

ISBN-13: 3658424966

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This book offers a comprehensive exposition of the mathematical methods that can be used to model landscape dynamics. It is systematically shown how mathematical models of progressively higher complexity can be derived from ordinary landscape maps and related data in ways that enable researchers to predict future landscape transformations and to assess landscape stability, sustainability and resilience.These models are deterministic (i.e. linear or non-linear systems of differential equations), stochastic (i.e. Markovian), or combined deterministic-and-stochastic (using stochastic differential equations), whereas topics and challenging problems related to complexity (spatial randomness, chaotic behaviors, riddled systems etc) are also examined in the book.

Landscape Simulation Modeling

Landscape Simulation Modeling PDF

Author: Robert Costanza

Publisher: Springer Science & Business Media

Published: 2006-06-02

Total Pages: 337

ISBN-13: 0387215557

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The world consists of many complex systems, ranging from our own bodies to ecosystems to economic systems. Despite their diversity, complex systems have many structural and functional features in common that can be effectively si- lated using powerful, user-friendly software. As a result, virtually anyone can - plore the nature of complex systems and their dynamical behavior under a range of assumptions and conditions. This ability to model dynamic systems is already having a powerful influence on teaching and studying complexity. The books in this series will promote this revolution in “systems thinking” by integrating computational skills of numeracy and techniques of dynamic mod- ing into a variety of disciplines. The unifying theme across the series will be the power and simplicity of the model-building process, and all books are designed to engage the reader in developing their own models for exploration of the dyn- ics of systems that are of interest to them. Modeling Dynamic Systems does not endorse any particular modeling paradigm or software. Rather, the volumes in the series will emphasize simplicity of lea- ing, expressive power, and the speed of execution as priorities that will facilitate deeper system understanding.

Landscape Dynamics, Soils and Hydrological Processes in Varied Climates

Landscape Dynamics, Soils and Hydrological Processes in Varied Climates PDF

Author: Assefa M. Melesse

Publisher: Springer

Published: 2015-07-21

Total Pages: 822

ISBN-13: 3319187872

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The book presents the processes governing the dynamics of landscapes, soils and sediments, water and energy under different climatic regions using studies conducted in varied climatic zones including arid, semi-arid, humid and wet regions. The spatiotemporal availability of the processes and fluxes and their linkage to the environment, land, soil and water management are presented at various scales. Spatial scales including laboratory, field, watershed, river basin and regions are represented. The effect of tillage operations and land management on soil physical characteristics and soil moisture is discussed. The book has 35 chapters in seven sections: 1) Landscape and Land Cover Dynamics, 2) Rainfall-Runoff Processes, 3) Floods and Hydrological Processes 4) Groundwater Flow and Aquifer Management, 5) Sediment Dynamics and Soil Management, 6) Climate change impact on vegetation, sediment and water dynamics, and 7) Water and Watershed Management.

Modeling of Land-Use and Ecological Dynamics

Modeling of Land-Use and Ecological Dynamics PDF

Author: Dan Malkinson

Publisher: Springer Science & Business Media

Published: 2013-12-09

Total Pages: 196

ISBN-13: 3642401996

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As cities are rapidly expanding and encroaching into agricultural and natural areas, a question of primary concern is how this expansion affects surrounding agriculture and natural landscapes. This book presents a wide spectrum of both theoretical and empirical approaches to simulation and assessment of landscape dynamics. The first part presents state-of-the-art modelling approaches pertaining to land-use changes entailed by the urban sprawl, at different spatial resolutions and temporal time scales. The second part is dedicated to case studies of the effects and consequences of the emerging urban-agriculture open space patterns.

Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems

Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems PDF

Author: Garik Gutman

Publisher: Springer Nature

Published: 2020-04-14

Total Pages: 236

ISBN-13: 3030307425

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This volume is a compilation of studies on interactions of changes in land cover, land use and climate with people, societies and ecosystems in drylands of Greater Central Asia. It explores the effects of collapse of socialist governance and management systems on land use in various parts of Central Asia, including former Soviet Union republics, Mongolia and northern drylands of China. Often, regional land-atmosphere feedbacks may have large global importance. Remote sensing is a primary tool in studying vast dryland territories where in situ observations are sporadic. State-of-the-art methods of satellite remote sensing combined with GIS and models are used to tackle science questions and provide an outlook of current changes at land surface and potential scenarios for the future. In 10 chapters, contributing authors cover topics such as water resources, effects of institutional changes on urban centers and agriculture, landscape dynamics, and the primary drivers of environmental changes in dryland environment. Satellite observations that have accumulated during the last five decades provide a rich time series of the dynamic land surface, enabling systematic analysis of changes in land cover and land use from space. The book is a truly international effort by a team of scientists from the U.S., Europe and Central Asia. It is directed at the broad science community including graduate students, academics and other professionals at all levels within natural and social sciences. In particular, it will appeal to geographers, environmental and social scientists, economists, agricultural scientists, and remote sensing specialists.

Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model Landsum Version 4.0

Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model Landsum Version 4.0 PDF

Author: United States Department of Agriculture

Publisher: CreateSpace

Published: 2015-06-25

Total Pages: 78

ISBN-13: 9781511608442

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The range and variation of historical landscape dynamics could provide a useful reference for designing fuel treatments on today's landscapes. Simulation modeling is a vehicle that can be used to estimate the range of conditions experienced on historical landscapes. A landscape fire succession model called LANDSUMv4 (LANDscape SUccession Model version 4.0) is presented here as a tool for estimating historical range and variation (HRV) of landscape characteristics. The model simulates fire and succession on fine scale landscapes for land management applications. It simulates vegetation development as a deterministic process by changing the species composition and stand structure assigned to a polygon. Disturbance initiation is modeled stochastically and disturbance effects are based on the current vegetation conditions of the polygon. Details of all model algorithms are discussed and the model is demonstrated for two applications. Results of an extensive sensitivity and model behavior analysis are also presented.

Modeling the Environment

Modeling the Environment PDF

Author: Bradley Cantrell

Publisher: John Wiley & Sons

Published: 2012-03-27

Total Pages: 288

ISBN-13: 0470902949

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A single-source guide to harnessing the power of 3D visualization tools for analysis and representation of landscapes Current technology allows designers to model environmental phenomena and space in new and exciting ways that go beyond the two-dimensional plane. The models, illustrations, and animations that can be created usher in a new paradigm of landscape representation that can become analytical tools as well as beautiful imagery. The text focuses on digital modeling methods that can be used to express rich environments using digital tools to develop, composite, and animate scenes. This full-color book provides coverage of 3D visualization tools for land planning and landscape architecture. The methods and theories in Modeling the Environment present landscape representation around a core set of ideas scene, object, terrain, environment/atmosphere, time/dynamics, and the composite that centers representation on human experience. Supported by www.lab.visual-logic.com, a website offering tutorials and forums, the text shows you how to use Autodesk 3ds Max to create dynamic landscape environments while also referring to a range of other tools including Google SketchUp, Autodesk Maya, and AutoCAD Civil 3D. It also demonstrates how to integrate 3D visualization tools into existing workflows, and offers critical coverage of intelligent drawings and representations, giving you a glimpse at the future of the profession. This book: Includes sections intended to build upon one another in order to understand the environment as a composite representation of multiple systems interacting Shows how to integrate 3D visualization tools into existing workflows, as opposed to offering an entirely new workflow Emphasizes modeling, animation, and simulation as both design analysis tools and presentation tools Modeling the Environment is essential reading for professionals in landscape architecture, urban planning and design, architecture, and related disciplines who are looking to be at the forefront of technology.

Landscape Erosion and Evolution Modeling

Landscape Erosion and Evolution Modeling PDF

Author: Russell S. Harmon

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 120

ISBN-13: 1461505755

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Landscapes are characterized by a wide variation, both spatially and temporally, of tolerance and response to natural processes and anthropogenic stress. These tolerances and responses can be analyzed through individual landscape parameters, such as soils, vegetation, water, etc., or holistically through ecosystem or watershed studies. However, such approaches are both time consuming and costly. Soil erosion and landscape evolution modeling provide a simulation environment in which both the short- and long-term consequences of land-use activities and alternative land use strategies can be compared and evaluated. Such models provide the foundation for the development of land management decision support systems. Landscape Erosion and Evolution Modeling is a state-of-the-art, interdisciplinary volume addressing the broad theme of soil erosion and landscape evolution modeling from different philosophical and technical approaches, ranging from those developed from considerations of first-principle soil/water physics and mechanics to those developed empirically according to sets of behavioral or empirical rules deriving from field observations and measurements. The validation and calibration of models through field studies is also included. This volume will be essential reading for researchers in earth, environmental and ecosystem sciences, hydrology, civil engineering, forestry, soil science, agriculture and climate change studies. In addition, it will have direct relevance to the public and private land management communities.

Research Agenda for Integrated Landscape Modeling

Research Agenda for Integrated Landscape Modeling PDF

Author: Sam Cushman

Publisher:

Published: 2007

Total Pages: 56

ISBN-13:

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Reliable predictions of how changing climate and disturbance regimes will affect forest ecosystems are crucial for effective forest management. Current fire and climate research in forest ecosystem and community ecology offers data and methods that can inform such predictions. However, research in these fields occurs at different scales, with disparate goals, methods, and context. Often results are not readily comparable among studies and defy integration. We discuss the strengths and weaknesses of three modeling paradigms: empirical gradient models, mechanistic ecosystem models, and stochastic landscape disturbance models. We then propose a synthetic approach to multi-scale analysis of the effects of climatic change and disturbance on forest ecosystems. Empirical gradient models provide an anchor and spatial template for stand-level forest ecosystem models by quantifying key parameters for individual species and accounting for broad-scale geographic variation among them. Gradient imputation transfers predictions of fine-scale forest composition and structure across geographic space. Mechanistic ecosystem dynamic models predict the responses of biological variables to specific environmental drivers and facilitate understanding of temporal dynamics and disequilibrium. Stochastic landscape dynamics models predict frequency, extent, and severity of broad-scale disturbance. A robust linkage of these three modeling paradigms will facilitate prediction of the effects of altered fire and other disturbance regimes on forest ecosystems at multiple scales and in the context of climatic variability and change.