As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks

As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks and illustrates how these relative risks are defined, mapped, and analyzed to determine remediation and management priorities. This book provides detailed descriptions for each step of RRM-from the determination of assessment goals to documentation, evaluation, and communication with decision-makers-that can benefit practitioners in environmental risk assessment and related fields worldwide.

An important guide to assessing and managing the environment from a landscape perspective Ecological relationships are nested within the landscape. Identifying the relevant spatial and temporal scales is critical for an effective understanding of ecological functions that human societies depend upon. Moreover, human encroachment into natural areas, or changes in climate, can alter spatial relationships, which in turn can negatively affect vital plant and wildlife patterns—and weaken economic structures needed to sustain human societies. This book is the first to combine multiple disciplines into one cohesive strategy to study these crucial connections, and looks toward building a social paradigm that embraces the dynamics of ecological systems. This book: Integrates landscape ecology, environmental risk assessment, valuation of ecological goods and services, and environmental management decision processes into one single source Includes chapters on quantitative measures, Bayesian modeling,¿economic analysis, and sustainable landscapes Covers marine, forest, agricultural, and pharmaceutical risk assessment Has a chapter on predicting climate change risk to ecosystems Has a companion ftp site with color graphics, animations, and risk assessment tools With material that is accessible across all knowledge levels, Environmental Risk Assessment and Management from a Landscape Perspective moves beyond looking solely at chemical contaminants to diagnose environmental threats, and aims to accomplish practical risk assessment in a manner that supports long-term sustainable management.

An important guide to assessing and managing the environment from a landscape perspective

Ecological relationships are nested within the landscape. Identifying the relevant spatial and temporal scales is critical for an effective understanding of ecological functions that human societies depend upon. Moreover, human encroachment into natural areas, or changes in climate, can alter spatial relationships, which in turn can negatively affect vital plant and wildlife patterns—and weaken economic structures needed to sustain human societies. This book is the first to combine multiple disciplines into one cohesive strategy to study these crucial connections, and looks toward building a social paradigm that embraces the dynamics of ecological systems. This book:

Integrates landscape ecology, environmental risk assessment, valuation of ecological goods and services, and environmental management decision processes into one single source

Includes chapters on quantitative measures, Bayesian modeling,¿economic analysis, and sustainable landscapes

Covers marine, forest, agricultural, and pharmaceutical risk assessment

Has a chapter on predicting climate change risk to ecosystems

Has a companion ftp site with color graphics, animations, and risk assessment tools

With material that is accessible across all knowledge levels, Environmental Risk Assessment and Management from a Landscape Perspective moves beyond looking solely at chemical contaminants to diagnose environmental threats, and aims to accomplish practical risk assessment in a manner that supports long-term sustainable management.

Assess ecological effects of co-occurring stressors in complex environmental systems Organisms face simultaneous chemical, physical, biological, and societal stressors whose interactions produce ecological effects that single-stressor assessments cannot predict. Multiple Stressors in the Environment: Assessing Ecological Effects in Complex Systems, edited by a team of environmental scientists and ecotoxicologists each with decades of research and consulting experience, delivers practical frameworks for evaluating these mixed-stressor conditions across freshwater, estuarine, marine, and terrestrial systems. Multiple Stressors traces the state of the science from the modern environmental era through current analytical developments in biology, chemistry, and ecology. Case studies drawn from North America, Europe, and Australia address diverse biomes and social structures, including urban, rural, and Indigenous Community settings. Statistical methods for complex data analysis, Bayesian network modeling for ecological risk estimation, and applications of artificial intelligence and machine learning are presented. Readers will also find: Examinations of how biological, chemical, physical, and societal stressors interact to produce effects invisible to single-stressor evaluation approachesCase studies spanning freshwater, estuarine, marine, and terrestrial systems set within urban, rural, and Indigenous Community contextsBayesian network applications for modeling multiple stressor systems and estimating ecological risk across diverse geographic regionsTechniques for eliciting stakeholder values and applying conflict resolution methods to reach agreed environmental practices and policiesAdaptive management strategies that integrate emerging computational methods with established ecological risk assessment frameworksDesigned for scientists, practitioners, regulators, and academics in environmental fields, this reference equips readers with the analytical approaches and case-based models needed to assess and manage ecological effects in systems where stressors co-occur and interact.

Assess ecological effects of co-occurring stressors in complex environmental systems Organisms face simultaneous chemical, physical, biological, and societal stressors whose interactions produce ecological effects that single-stressor assessments cannot predict. Multiple Stressors in the Environment: Assessing Ecological Effects in Complex Systems, edited by a team of environmental scientists and ecotoxicologists each with decades of research and consulting experience, delivers practical frameworks for evaluating these mixed-stressor conditions across freshwater, estuarine, marine, and terrestrial systems. Multiple Stressors traces the state of the science from the modern environmental era through current analytical developments in biology, chemistry, and ecology. Case studies drawn from North America, Europe, and Australia address diverse biomes and social structures, including urban, rural, and Indigenous Community settings. Statistical methods for complex data analysis, Bayesian network modeling for ecological risk estimation, and applications of artificial intelligence and machine learning are presented. Readers will also find: Examinations of how biological, chemical, physical, and societal stressors interact to produce effects invisible to single-stressor evaluation approaches Case studies spanning freshwater, estuarine, marine, and terrestrial systems set within urban, rural, and Indigenous Community contexts Bayesian network applications for modeling multiple stressor systems and estimating ecological risk across diverse geographic regions Techniques for eliciting stakeholder values and applying conflict resolution methods to reach agreed environmental practices and policies Adaptive management strategies that integrate emerging computational methods with established ecological risk assessment frameworks Designed for scientists, practitioners, regulators, and academics in environmental fields, this reference equips readers with the analytical approaches and case-based models needed to assess and manage ecological effects in systems where stressors co-occur and interact.

As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks

As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks

As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks and illustrates how these relative risks are defined, mapped, and analyzed to determine remediation and management priorities. This book provides detailed descriptions for each step of RRM-from the determination of assessment goals to documentation, evaluation, and communication with decision-makers-that can benefit practitioners in environmental risk assessment and related fields worldwide.

An important guide to assessing and managing the environment from a landscape perspective Ecological relationships are nested within the landscape. Identifying the relevant spatial and temporal scales is critical for an effective understanding of ecological functions that human societies depend upon. Moreover, human encroachment into natural areas, or changes in climate, can alter spatial relationships, which in turn can negatively affect vital plant and wildlife patterns—and weaken economic structures needed to sustain human societies. This book is the first to combine multiple disciplines into one cohesive strategy to study these crucial connections, and looks toward building a social paradigm that embraces the dynamics of ecological systems. This book: Integrates landscape ecology, environmental risk assessment, valuation of ecological goods and services, and environmental management decision processes into one single source Includes chapters on quantitative measures, Bayesian modeling,¿economic analysis, and sustainable landscapes Covers marine, forest, agricultural, and pharmaceutical risk assessment Has a chapter on predicting climate change risk to ecosystems Has a companion ftp site with color graphics, animations, and risk assessment tools With material that is accessible across all knowledge levels, Environmental Risk Assessment and Management from a Landscape Perspective moves beyond looking solely at chemical contaminants to diagnose environmental threats, and aims to accomplish practical risk assessment in a manner that supports long-term sustainable management.

An important guide to assessing and managing the environment from a landscape perspective

Ecological relationships are nested within the landscape. Identifying the relevant spatial and temporal scales is critical for an effective understanding of ecological functions that human societies depend upon. Moreover, human encroachment into natural areas, or changes in climate, can alter spatial relationships, which in turn can negatively affect vital plant and wildlife patterns—and weaken economic structures needed to sustain human societies. This book is the first to combine multiple disciplines into one cohesive strategy to study these crucial connections, and looks toward building a social paradigm that embraces the dynamics of ecological systems. This book:

Integrates landscape ecology, environmental risk assessment, valuation of ecological goods and services, and environmental management decision processes into one single source

Includes chapters on quantitative measures, Bayesian modeling,¿economic analysis, and sustainable landscapes

Covers marine, forest, agricultural, and pharmaceutical risk assessment

Has a chapter on predicting climate change risk to ecosystems

Has a companion ftp site with color graphics, animations, and risk assessment tools

With material that is accessible across all knowledge levels, Environmental Risk Assessment and Management from a Landscape Perspective moves beyond looking solely at chemical contaminants to diagnose environmental threats, and aims to accomplish practical risk assessment in a manner that supports long-term sustainable management.

Assess ecological effects of co-occurring stressors in complex environmental systems Organisms face simultaneous chemical, physical, biological, and societal stressors whose interactions produce ecological effects that single-stressor assessments cannot predict. Multiple Stressors in the Environment: Assessing Ecological Effects in Complex Systems, edited by a team of environmental scientists and ecotoxicologists each with decades of research and consulting experience, delivers practical frameworks for evaluating these mixed-stressor conditions across freshwater, estuarine, marine, and terrestrial systems. Multiple Stressors traces the state of the science from the modern environmental era through current analytical developments in biology, chemistry, and ecology. Case studies drawn from North America, Europe, and Australia address diverse biomes and social structures, including urban, rural, and Indigenous Community settings. Statistical methods for complex data analysis, Bayesian network modeling for ecological risk estimation, and applications of artificial intelligence and machine learning are presented. Readers will also find: Examinations of how biological, chemical, physical, and societal stressors interact to produce effects invisible to single-stressor evaluation approachesCase studies spanning freshwater, estuarine, marine, and terrestrial systems set within urban, rural, and Indigenous Community contextsBayesian network applications for modeling multiple stressor systems and estimating ecological risk across diverse geographic regionsTechniques for eliciting stakeholder values and applying conflict resolution methods to reach agreed environmental practices and policiesAdaptive management strategies that integrate emerging computational methods with established ecological risk assessment frameworksDesigned for scientists, practitioners, regulators, and academics in environmental fields, this reference equips readers with the analytical approaches and case-based models needed to assess and manage ecological effects in systems where stressors co-occur and interact.

Assess ecological effects of co-occurring stressors in complex environmental systems Organisms face simultaneous chemical, physical, biological, and societal stressors whose interactions produce ecological effects that single-stressor assessments cannot predict. Multiple Stressors in the Environment: Assessing Ecological Effects in Complex Systems, edited by a team of environmental scientists and ecotoxicologists each with decades of research and consulting experience, delivers practical frameworks for evaluating these mixed-stressor conditions across freshwater, estuarine, marine, and terrestrial systems. Multiple Stressors traces the state of the science from the modern environmental era through current analytical developments in biology, chemistry, and ecology. Case studies drawn from North America, Europe, and Australia address diverse biomes and social structures, including urban, rural, and Indigenous Community settings. Statistical methods for complex data analysis, Bayesian network modeling for ecological risk estimation, and applications of artificial intelligence and machine learning are presented. Readers will also find: Examinations of how biological, chemical, physical, and societal stressors interact to produce effects invisible to single-stressor evaluation approaches Case studies spanning freshwater, estuarine, marine, and terrestrial systems set within urban, rural, and Indigenous Community contexts Bayesian network applications for modeling multiple stressor systems and estimating ecological risk across diverse geographic regions Techniques for eliciting stakeholder values and applying conflict resolution methods to reach agreed environmental practices and policies Adaptive management strategies that integrate emerging computational methods with established ecological risk assessment frameworks Designed for scientists, practitioners, regulators, and academics in environmental fields, this reference equips readers with the analytical approaches and case-based models needed to assess and manage ecological effects in systems where stressors co-occur and interact.

As debates over how relative risk can be used to shape landscape-scale environmental management intensify, Regional-Scale Risk Assessment demonstrates the capabilities of RRM using nine case studies in the Pacific Northwest, Pennsylvania, Brazil, and Tasmania. The authors use a process of ranking and filters to interrelate different kinds of risks