Landscape Simulation Modeling

Landscape Simulation Modeling

Author: Robert Costanza

Publisher: Springer Science & Business Media

Published: 2006-06-02

Total Pages: 337

ISBN-13: 0387215557

DOWNLOAD EBOOK

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.


Book Synopsis Landscape Simulation Modeling by : Robert Costanza

Download or read book Landscape Simulation Modeling written by Robert Costanza and published by Springer Science & Business Media. This book was released on 2006-06-02 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Modelling Landscape Dynamics

Modelling Landscape Dynamics

Author: Fivos Papadimitriou

Publisher: Springer Nature

Published: 2024-01-02

Total Pages: 141

ISBN-13: 3658424966

DOWNLOAD EBOOK

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.


Book Synopsis Modelling Landscape Dynamics by : Fivos Papadimitriou

Download or read book Modelling Landscape Dynamics written by Fivos Papadimitriou and published by Springer Nature. This book was released on 2024-01-02 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Dynamics, Soils and Hydrological Processes in Varied Climates

Landscape Dynamics, Soils and Hydrological Processes in Varied Climates

Author: Assefa M. Melesse

Publisher: Springer

Published: 2015-07-21

Total Pages: 822

ISBN-13: 3319187872

DOWNLOAD EBOOK

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.


Book Synopsis Landscape Dynamics, Soils and Hydrological Processes in Varied Climates by : Assefa M. Melesse

Download or read book Landscape Dynamics, Soils and Hydrological Processes in Varied Climates written by Assefa M. Melesse and published by Springer. This book was released on 2015-07-21 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Special Issue: Monitoring and Modelling Landscape Dynamics

Special Issue: Monitoring and Modelling Landscape Dynamics

Author: Thomas Houet

Publisher:

Published: 2010

Total Pages: 330

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Special Issue: Monitoring and Modelling Landscape Dynamics by : Thomas Houet

Download or read book Special Issue: Monitoring and Modelling Landscape Dynamics written by Thomas Houet and published by . This book was released on 2010 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Modeling of Land-Use and Ecological Dynamics

Modeling of Land-Use and Ecological Dynamics

Author: Dan Malkinson

Publisher: Springer Science & Business Media

Published: 2013-12-09

Total Pages: 196

ISBN-13: 3642401996

DOWNLOAD EBOOK

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.


Book Synopsis Modeling of Land-Use and Ecological Dynamics by : Dan Malkinson

Download or read book Modeling of Land-Use and Ecological Dynamics written by Dan Malkinson and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Garik Gutman

Publisher: Springer Nature

Published: 2020-04-14

Total Pages: 236

ISBN-13: 3030307425

DOWNLOAD EBOOK

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.


Book Synopsis Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems by : Garik Gutman

Download or read book Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems written by Garik Gutman and published by Springer Nature. This book was released on 2020-04-14 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: United States Department of Agriculture

Publisher: CreateSpace

Published: 2015-06-25

Total Pages: 78

ISBN-13: 9781511608442

DOWNLOAD EBOOK

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.


Book Synopsis Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model Landsum Version 4.0 by : United States Department of Agriculture

Download or read book Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model Landsum Version 4.0 written by United States Department of Agriculture and published by CreateSpace. This book was released on 2015-06-25 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Agent-Based Modelling and Landscape Change

Agent-Based Modelling and Landscape Change

Author: James D. A. Millington

Publisher: MDPI

Published: 2018-09-27

Total Pages: 327

ISBN-13: 3038422800

DOWNLOAD EBOOK

This book is a printed edition of the Special Issue "Agent-Based Modelling and Landscape Change" that was published in Land


Book Synopsis Agent-Based Modelling and Landscape Change by : James D. A. Millington

Download or read book Agent-Based Modelling and Landscape Change written by James D. A. Millington and published by MDPI. This book was released on 2018-09-27 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Agent-Based Modelling and Landscape Change" that was published in Land


Landscape Erosion and Evolution Modeling

Landscape Erosion and Evolution Modeling

Author: Russell S. Harmon

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 120

ISBN-13: 1461505755

DOWNLOAD EBOOK

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.


Book Synopsis Landscape Erosion and Evolution Modeling by : Russell S. Harmon

Download or read book Landscape Erosion and Evolution Modeling written by Russell S. Harmon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Sam Cushman

Publisher:

Published: 2007

Total Pages: 56

ISBN-13:

DOWNLOAD EBOOK

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.


Book Synopsis Research Agenda for Integrated Landscape Modeling by : Sam Cushman

Download or read book Research Agenda for Integrated Landscape Modeling written by Sam Cushman and published by . This book was released on 2007 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.