Operationalizing The Concepts Of Resilience And Resistance For Managing Ecosystems And Species At Risk

Forest and farm producers’ livelihoods are threatened by a complex risk context, where environmental change is accelerating (climate change, degradation of natural resources) and chronic and episodic stressors and disturbances (poverty, pests, economic shocks) are occurring outside of the range of past experience. Forest and farm producers’ livelihood systems are characterized by small-scale farms and woodlots, direct dependence on natural resources, and smallholder value chains extending over larger landscapes. Building the resilience of these systems and their functions requires i) improving the short- and long-term viability of livelihoods through sustainability, efficiency, and profitability in production and along the value chain; ii) increasing preparedness and the capacity to act in the face of climate change and other stressors and shocks; and iii) stewarding farm ecosystems and aiming for ecological co-benefits in all actions. In addition, participatory and inclusive service landscapes and management processes are considered preconditions for all the above-mentioned domains of resilience, largely defining the long-term impact and overall success of resilience actions.

We live in a turbulent world, in which there is growing awareness and concern about of unpredictable and interconnected change across scales. We cannot predict, still less control every source of change that affects systems on which we depend. However, we can aspire to be resilient in the face of change. We can seek to build resilience so that when disturbances happen, those systems have the capacity to absorb, adapt to, utilize and possibly even benefit from perceived disturbances. We can seek to manage systems such that, when they do fail, they fail gracefully; and such that we can effect desirable transitions and transformations. This thesis presents a practical theory of system resilience to facilitate improved management and governance of systems such that their capacity to sustain human and natural capital is enhanced. In order to do so, it addresses questions of what system resilience is, how it is measured, how it is created or destroyed and what we can do, as humans, in order to manage resilience. It provides direct methodological pathways from conceptual and mathematical models of resilience to approaches for characterizing and managing resilience on-the-ground. Resilience has received an enormous amount of attention across an extensive range of disciplines and sectors. It has become a central theme of research, policy and practice from local to global scales. However, the global spread of resilience has not resulted in global definitions. The inherent conceptual and operational pluralism extant in the field is problematic for those involved in resilience management, planning and decision-making; particularly in the multi-actor and multi-scale processes that are called for by the very concept of resilience. Acknowledging interconnectedness of social, economic, political and environmental systems across scales and levels, taking into account cross-scale and cross-level interactions, and striving towards holism are fundamental aspects of the resilience approach. Thus, frameworks that can handle this diversity across disciplines, sectors and social worlds scales are needed. This thesis has presented systemic frameworks for understanding, measuring and managing resilience that are designed to work with and capitalize on this inherent pluralism and accordingly build capacity to cope with uncertainty and change. The frameworks presented have been applied tested by the author through the Systemic Integrated Resilience and Adaptation program. Applications to understanding and managing the resilience of agricultural communities in Nepal, for integrated multi-level resilience and adaptation in Ghana and a global level food systems model. Relevant resilience planning frameworks and the approaches taken to cross-level, cross-scale and cross-research program integration have been described. Finally the frameworks are applied to the design and implementation of interdisciplinary resilience research programs. The lessons learned from these applications are discussed, guidelines for understanding, measuring, managing and researching resilience are provided and directions for further research and action are highlighted.

One common characteristics of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view on the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations. Examples discussed include bacterial biofilms resisting detachment, grassland savannahs recovering from fire, the dynamics of language competition and Internet social networking sites overcoming vandalism. The reader is taken through an introduction to the idea of resilience and viability and shown the mathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studies illustrates the use of the techniques in real applications, and the final section describes how one can use new and elaborate software tools for carrying out the necessary calculations. The book is intended for a general scientific audience of readers from the natural and social sciences, yet requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical application of the concepts of resilience and viability

Reflecting the very latest research, this book provides an in-depth review of the role of resilience in the management of social-ecological systems and the ecosystem services they provide. Leaders in the field outline seven principles for building resilience in social-ecological systems, examining how these can be applied to advance sustainability.

Ecosystems in the modern world face a vast array of disturbances, from globally shifting abiotic conditions, to increasingly variable extreme natural events, to high intensity discrete human-caused disturbances. Well-developed, applicable theoretical frameworks on how ecosystems can respond to and withstand these disturbances are needed for adequate management of valued ecological systems. To date, the most promising theoretical development for understanding ecological response to complex sets of disturbances is resilience. Ecological resilience acknowledges non-linear ecosystem behavior, incorporates the role of slowly changing environmental parameters in ecological dynamics, and offers one of the few potential methods to predict, and avoid, impending ecological collapse. However, as ecological resilience has evolved conceptually to include social, political, and economic fields, it has become increasingly difficult to clearly define in, and apply to, managed ecosystems. This dissertation pairs ecological resilience with other, well-established attributes of ecological response to disturbance, namely resistance, persistence, and recovery. By doing so, we can clearly define and quantify each attribute in a range of ecosystem types and over a variety of ecological scales. In Chapter 1, we use microcosm communities to test the relationship between one potential mechanism, landscape connectivity, and multiple attributes of ecological response to disturbance including resistance, resilience, and recovery. We find that each attribute responds uniquely to connectivity, and that generalizing the role of connectivity over all three may give an inaccurate prediction of how ecosystems may respond to individual disturbances. In Chapter 2, we experimentally investigate the presence of early warning indicators of approaching critical thresholds. Using water table drawdown treatments in bog, we test for critical slowing and increased autocorrelation as the bog approaches a transition to forest. We find that critical slowing is clear in composition and moss cover, but that autocorrelation is not apparent. The decoupling of critical slowing and increased autocorrelation could be due to a number of complex ecosystem dynamics, all of which are common in ecosystem management globally. Thus, early warning indicators likely need further development if they are to become applicable. In Chapter 3, we observationally study how conservation management actions may increase or decrease ecological resilience. In particular, we explore how invasive species management intensity correlates with changes in functional redundancy, response diversity, and spatial occurrence of regime shifts in Garry oak meadows. We find that more intense management correlates with less area lost to woody encroachment and increases in functional redundancy through time. However, the relationship was strongly mediated by individual landscape settings. Finally, in Chapter 4, we scale up to a provincial study, investigating persistence of ecosystems and large mammal species in the face of the continuous pressures of land use change. In the results from all four chapters, it is clear that individual attributes of ecological response to disturbance, i.e. resistance, persistence, resilience, or recovery, all play unique roles in ecosystem dynamics. Additionally, the metric chosen to quantify each attribute can play a pivotal role in how we interpret observed dynamics. The work in this dissertation highlights that we cannot understand or predict ecological response to disturbance without clear, measurable concepts. Around a single state of interest, resilience is only one among a suite of attributes that are important to understand. Its additional strength, of potentially predicting the occurrence of ecological thresholds, is still being developed as we explore methods of quantification and application in individual ecosystems.

This book explores key theoretical and empirical issues related to the development and implementation of planning strategies that can provide guidance on the transition to climate-compatible and low-carbon urban development. It especially focuses on integrating resilience thinking into the urban planning process, and explains how such an integration can contribute to reflecting the dynamic properties of cities and coping with the uncertainties inherent in future climate change projections. Some of the main questions addressed are: What are the innovative methods and processes needed to incorporate resilience thinking into urban planning? What are the characteristics of a resilient urban form and what are the challenges associated with integrating them into urban development? Also, how can the resilience of cities be measured and what are the main constituents of an urban resilience assessment framework? In addition to addressing these crucial questions, the book features several case studies from around the world, investigating methodologies, challenges, and opportunities for mainstreaming climate resilience in the theory and practice of urban planning. Featuring contributions by prominent researchers from around the world, the book offers a valuable resource for students, academics and practitioners alike.

Complexity theory illuminates the many interactions between natural and social systems, providing a better understanding of the general principles that can help solve some of today's most pressing environmental issues. Complexity theory was developed from key ideas in economics, physics, biology, and the social sciences and contributes to important new concepts for approaching issues of environmental sustainability such as resilience, scaling, and networks. Complexity Theory for a Sustainable Future is a hands-on treatment of this exciting new body of work and its applications, bridging the gap between theoretical and applied perspectives in the management of complex adaptive systems. Focusing primarily on natural resource management and community-based conservation, the book features contributions by leading scholars in the field, many of whom are among the leaders of the Resilience Alliance. Theoreticians will find a valuable synthesis of new ideas on resilience, sustainability, asymmetries, information processing, scaling, and networks. Managers and policymakers will benefit from the application of these ideas to practical approaches and empirical studies linked to social-ecological systems. Chapters present new twists on such existing approaches as scenario planning, scaling analyses, and adaptive management, and the book concludes with recommendations on how to manage natural resources, how to involve stakeholders in the dynamics of a system, and how to explain the difficult topic of scale. A vital reference for an emerging discipline, this volume provides a clearer understanding of the conditions required for systems self-organization, since the capacity of any system to self-organize is crucial for its sustainability over time.

Increasingly, cracks are appearing in the capacity of communities, ecosystems, and landscapes to provide the goods and services that sustain our planet's well-being. The response from most quarters has been for "more of the same" that created the situation in the first place: more control, more intensification, and greater efficiency. "Resilience thinking" offers a different way of understanding the world and a new approach to managing resources. It embraces human and natural systems as complex entities continually adapting through cycles of change, and seeks to understand the qualities of a system that must be maintained or enhanced in order to achieve sustainability. It explains why greater efficiency by itself cannot solve resource problems and offers a constructive alternative that opens up options rather than closing them down. In Resilience Thinking, scientist Brian Walker and science writer David Salt present an accessible introduction to the emerging paradigm of resilience. The book arose out of appeals from colleagues in science and industry for a plainly written account of what resilience is all about and how a resilience approach differs from current practices. Rather than complicated theory, the book offers a conceptual overview along with five case studies of resilience thinking in the real world. It is an engaging and important work for anyone interested in managing risk in a complex world.

Ecological resilience provides a theoretical foundation for understanding how complex systems adapt to and recover from localized disturbances like hurricanes, fires, pest outbreaks, and floods, as well as large-scale perturbations such as climate change. Ecologists have developed resilience theory over the past three decades in an effort to explain surprising and nonlinear dynamics of complex adaptive systems. Resilience theory is especially important to environmental scientists for its role in underpinning adaptive management approaches to ecosystem and resource management. Foundations of Ecological Resilience is a collection of the most important articles on the subject of ecological resilience—those writings that have defined and developed basic concepts in the field and help explain its importance and meaning for scientists and researchers. The book’s three sections cover articles that have shaped or defined the concepts and theories of resilience, including key papers that broke new conceptual ground and contributed novel ideas to the field; examples that demonstrate ecological resilience in a range of ecosystems; and articles that present practical methods for understanding and managing nonlinear ecosystem dynamics. Foundations of Ecological Resilience is an important contribution to our collective understanding of resilience and an invaluable resource for students and scholars in ecology, wildlife ecology, conservation biology, sustainability, environmental science, public policy, and related fields.