Author: Sam Cushman
Publisher:
ISBN:
Category : Climatic changes
Languages : en
Pages : 56
Book Description
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.
Research Agenda for Integrated Landscape Modeling
Research Agenda for Integrated Landscape Modeling
Author: United States Department of Agriculture
Publisher: CreateSpace
ISBN: 9781511614191
Category :
Languages : en
Pages : 56
Book Description
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.
Publisher: CreateSpace
ISBN: 9781511614191
Category :
Languages : en
Pages : 56
Book Description
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.
Research Agenda for Integrated Landscape Modeling
Author:
Publisher:
ISBN:
Category : Climatic changes
Languages : en
Pages : 50
Book Description
Publisher:
ISBN:
Category : Climatic changes
Languages : en
Pages : 50
Book Description
From Landscape Research to Landscape Planning
Author: Bärbel Tress
Publisher: Springer Science & Business Media
ISBN: 9781402039782
Category : Science
Languages : en
Pages : 456
Book Description
This book provides guidelines for those pursuing landscape projects based on integrative concepts – interdisciplinarity and transdisciplinarity – whether they are members of an integrative research team or individuals working on a problem that demands integration. They must define terminology, choose appropriate methodologies, overcome epistemological barriers and cope with the high expectations of some stakeholders while encouraging others to participate at all.
Publisher: Springer Science & Business Media
ISBN: 9781402039782
Category : Science
Languages : en
Pages : 456
Book Description
This book provides guidelines for those pursuing landscape projects based on integrative concepts – interdisciplinarity and transdisciplinarity – whether they are members of an integrative research team or individuals working on a problem that demands integration. They must define terminology, choose appropriate methodologies, overcome epistemological barriers and cope with the high expectations of some stakeholders while encouraging others to participate at all.
Des Outils de Gestion Intégrée Du Paysage Pour L'élaboration de Politiques de Développement Durable
Author: Policy Research Initiative (Canada)
Publisher:
ISBN:
Category : Sustainable development
Languages : en
Pages : 8
Book Description
Publisher:
ISBN:
Category : Sustainable development
Languages : en
Pages : 8
Book Description
Landscape Modeling
Author: Stephen M. Ervin
Publisher: McGraw Hill Professional
ISBN: 9780071357456
Category : Architecture
Languages : en
Pages : 316
Book Description
CD-ROM contains: Digital version of some of the text, illustrations, examples, animations, JAVA applications, and tutorial.
Publisher: McGraw Hill Professional
ISBN: 9780071357456
Category : Architecture
Languages : en
Pages : 316
Book Description
CD-ROM contains: Digital version of some of the text, illustrations, examples, animations, JAVA applications, and tutorial.
Landscape Modelling and Decision Support
Author: Wilfried Mirschel
Publisher: Springer Nature
ISBN: 3030374211
Category : Science
Languages : en
Pages : 600
Book Description
This book contributes to a deeper understanding of landscape and regional modelling in general, and its broad range of facets with respect to various landscape parameters. It presents model approaches for a number of ecological and socio-economic landscape indicators, and also describes spatial decision support systems (DSS), frameworks, and model-based tools, which are prerequisites for deriving sustainable decision and solution strategies for the protection of comprehensively functioning landscapes. While it mainly focuses on the latest research findings in regional modelling and DSS in Europe, it also highlights the work of scientists from Russia. The book is intended for landscape modellers, scientists from various fields of landscape research, university teaching staff, and experts in landscape planning and management, landscape conservation and landscape policy.
Publisher: Springer Nature
ISBN: 3030374211
Category : Science
Languages : en
Pages : 600
Book Description
This book contributes to a deeper understanding of landscape and regional modelling in general, and its broad range of facets with respect to various landscape parameters. It presents model approaches for a number of ecological and socio-economic landscape indicators, and also describes spatial decision support systems (DSS), frameworks, and model-based tools, which are prerequisites for deriving sustainable decision and solution strategies for the protection of comprehensively functioning landscapes. While it mainly focuses on the latest research findings in regional modelling and DSS in Europe, it also highlights the work of scientists from Russia. The book is intended for landscape modellers, scientists from various fields of landscape research, university teaching staff, and experts in landscape planning and management, landscape conservation and landscape policy.
Towards a National Capacity for Integrated Landscape Management Modelling
Author: Policy Research Initiative (Canada)
Publisher: Policy Research Initiative
ISBN:
Category : Land use Canada Decision making Computer simulation
Languages : en
Pages : 8
Book Description
Publisher: Policy Research Initiative
ISBN:
Category : Land use Canada Decision making Computer simulation
Languages : en
Pages : 8
Book Description
Landscape Simulation Modeling
Author: Robert Costanza
Publisher: Springer Science & Business Media
ISBN: 0387215557
Category : Science
Languages : en
Pages : 337
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 0387215557
Category : Science
Languages : en
Pages : 337
Book Description
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.
General Technical Report RMRS
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 56
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 56
Book Description