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A01=and Medicine
A01=Committee on the Practice of Sustainability Science
A01=Engineering
A01=National Academies of Sciences
A01=Policy and Global Affairs
A01=Science and Technology for Sustainability Program
Age Group_Uncategorized
Age Group_Uncategorized
Author_and Medicine
Author_Committee on the Practice of Sustainability Science
Author_Engineering
Author_National Academies of Sciences
Author_Policy and Global Affairs
Author_Science and Technology for Sustainability Program
automatic-update
B01=Dominic A. Brose
Category1=Non-Fiction
Category=RNF
Category=TQ
Category=TVF
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
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Integrating Landscape Approaches and Multi-Resource Analysis into Natural Resource Management: Summary of a Workshop

The responsible management of natural resources for present-day needs and future generations requires integrated approaches that are place-based, embrace systems thinking, and incorporate the social, economic, and environmental considerations of sustainability. Landscape-scale analysis takes this holistic view by focusing on the spatial scales most appropriate for the resource types and values being managed. Landscape-scale analysis involves assessing landscape features in relation to a group of influencing factors such as land use change, hydrologic changes or other disturbances, topography, and historical vegetation conditions.

As such, different types of data and multiple disciplines may be required for landscape analysis, depending on the question of interest and scale of analysis. Multi-resource analysis (MRA) is an approach to landscape-scale analysis that integrates information among multiple natural resources, including ecosystem services, and is designed to evaluate impacts and tradeoffs between development and conservation at landscape scales to inform public resource managers. This approach implicitly addresses social, economic, and ecological functional relationships; for example, actions to realize the benefits of one type of natural resource (e.g., minerals, oil, and gas) may influence behavior and potential benefits related to other types of natural resources (e.g., recreational opportunities).

In June 2015, the National Academies of Sciences, Engineering, and Medicine convened a workshop on using landscape-based approaches and MRA to better inform federal decision making for the sustainable management of natural resources. Participants discussed knowledge gaps and priority areas for research and presentations of case studies of approaches that have been used to effectively integrate landscape-based approaches and MRA into practice. This report summarizes the presentations and discussions from the workshop.

Table of Contents
  • Front Matter
  • 1 Introduction
  • 2 Decision-Oriented Approaches to Natural Resource Management
  • 3 Identifying Needs and Challenges for Landscape and Multi-Resource Analyses
  • 4 Methods for Spatial Analysis: Identifying Scenarios
  • 5 Methods for Evaluating Scenarios: Reconciling Quantities and Values
  • 6 Multi-Disciplinary and Cross-Agency Synthesis
  • Appendix A: Workshop Agenda
  • Appendix B: Workshop Participants
  • Appendix C: Biographies of Planning Committee, Speakers, and Staff
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A01=and MedicineA01=Committee on the Practice of Sustainability ScienceA01=EngineeringA01=National Academies of SciencesA01=Policy and Global AffairsA01=Science and Technology for Sustainability ProgramAge Group_UncategorizedAuthor_and MedicineAuthor_Committee on the Practice of Sustainability ScienceAuthor_EngineeringAuthor_National Academies of SciencesAuthor_Policy and Global AffairsAuthor_Science and Technology for Sustainability Programautomatic-updateB01=Dominic A. BroseCategory1=Non-FictionCategory=RNFCategory=TQCategory=TVFCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 152 x 229mm
  • Publication Date: 09 Apr 2016
  • Publisher: National Academies Press
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780309392150

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