Interactions matter. To understand the distributions of plants and animals in a landscape you need to understand how they interact with each other, and with their environment. The resulting networks of interactions make ecosystems highly complex. Recent research on complexity and artificial life provides many new insights about patterns and processes in landscapes and ecosystems. This book provides the first overview of that work for general readers. It covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics. With over 60 years of research experience of both ecology and complexity, the authors are uniquely qualified to provide a new perspective on traditional ecology. They argue that understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world''s ecosystems needs to combine models of ecosystem complexity with biodiversity, environmental, geographic and socioeconomic information.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology. The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.

The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology.

The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology. The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.

Interactions matter. To understand the distributions of plants and animals in a landscape you need to understand how they interact with each other, and with their environment. The resulting networks of interactions make ecosystems highly complex. Recent research on complexity and artificial life provides many new insights about patterns and processes in landscapes and ecosystems. This book provides the first overview of that work for general readers. It covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics. With over 60 years of research experience of both ecology and complexity, the authors are uniquely qualified to provide a new perspective on traditional ecology. They argue that understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world''s ecosystems needs to combine models of ecosystem complexity with biodiversity, environmental, geographic and socioeconomic information.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology. The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.

The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology.

The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.

This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes.The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology. The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.