Applying Ecosystem and Landscape Models in Natural Resource Management

Managing today's lands is becoming increasingly difficult due to complex ecological interactions across multiple spatiotemporal scales. Ecological and landscape simulation models are the best new tools available for synthesizing this complexity into useful applications for land management. However, many land management professionals and scientists have little expertise in simulation modeling, and the costs of training these people will be exorbitantly high. This book was written to provide natural resource professionals with the rudimentary knowledge needed to properly use ecological models and interpret their results.

Format: Paperback / softback
Length: 224 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

Managing today's lands is becoming an increasingly challenging task due to the complex ecological interactions across multiple spatiotemporal scales. These interactions result in diverse landscape responses to management actions that are often novel, counter-intuitive, and unexpected. To exacerbate the situation, exotic invasions, human land use, and global climate change further complicate the complexity, making past observational ecological studies limited in their application to the future. In such a rapidly changing world with few historical analogs, natural resource professionals can no longer rely solely on empirical data to analyze alternative actions. Consequently, new tools are needed to synthesize the high complexity in ecosystem dynamics into useful applications for land management.

One of the best new tools available for this task is ecological and landscape simulation models. These models can help natural resource professionals understand the complex interactions between ecosystems and human activities and predict the outcomes of management interventions. However, many land management professionals and scientists have limited expertise in simulation modeling, and the costs of training these individuals can be exorbitantly high. This is because most ecosystem and landscape models are exceptionally complicated and difficult to understand and use for local applications.

To address this need, this book was written to provide natural resource professionals with the fundamental knowledge needed to properly use ecological models and interpret their results. The book is based on the lessons learned from a career spent modeling ecological systems and is intended as a reference for novice modelers to learn how to correctly employ ecosystem landscape models in natural resource management applications and to understand the subsequent modeling results.

In the first chapter, the book provides an introduction to ecological and landscape simulation models and their applications in natural resource management. It discusses the basic principles of these models, the types of data they require, and the techniques used to analyze and interpret their results. The chapter also highlights the limitations and challenges associated with these models and provides tips for overcoming them.

In the second chapter, the book focuses on the use of ecological models in predicting the impacts of human land use on ecosystems. It discusses the various types of human land use activities, such as agriculture, forestry, urbanization, and mining, and the ecological consequences of each. The chapter also provides examples of how ecological models have been used to assess the impacts of land use on biodiversity, ecosystem services, and soil health.

In the third chapter, the book discusses the use of landscape simulation models in natural resource management. It discusses the basic principles of landscape simulation models, the types of data they require, and the techniques used to analyze and interpret their results. The chapter also provides examples of how landscape simulation models have been used to assess the impacts of land use on landscape patterns, ecosystem services, and biodiversity.

In the fourth chapter, the book discusses the use of ecological and landscape simulation models in decision-making processes. It discusses the importance of integrating multiple sources of information and perspectives into decision-making and the role of simulation models in providing a quantitative framework for evaluating alternative management strategies. The chapter also provides examples of how simulation models have been used to inform decision-making in natural resource management.

In the fifth chapter, the book discusses the challenges and limitations of using ecological and landscape simulation models in natural resource management. It discusses the need for interdisciplinary collaboration, the need for accurate and reliable data, and the need for effective communication and dissemination of results. The chapter also provides tips for overcoming these challenges and limitations.

In the final chapter, the book provides a summary of the key lessons learned from the previous chapters and highlights the importance of continued research and development in the field of ecological and landscape simulation modeling. It also provides recommendations for natural resource professionals and researchers interested in using these models in their work.

In conclusion, managing today's lands is becoming increasingly difficult due to the complex ecological interactions across multiple spatiotemporal scales. Ecological and landscape simulation models are one of the best new tools available for this task, but many land management professionals and scientists have limited expertise in their use. This book was written to provide natural resource professionals with the fundamental knowledge needed to properly use ecological models and interpret their results. By integrating multiple sources of information and perspectives into decision-making processes and using simulation models to provide a quantitative framework for evaluating alternative management strategies, natural resource professionals can better manage today's lands and ensure a sustainable future for future generations.

Weight: 413g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367779290