MARC보기
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020 ▼a 9780309392167 ▼q electronic bk.
020 ▼a 0309392160 ▼q electronic bk.
020 ▼z 9780309392150
020 ▼z 0309392152
035 ▼a (OCoLC)944445181
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1001 ▼a Brose, Dominic A., ▼e rapporteur.
24510 ▼a Integrating landscape approaches and multi-resource analysis into natural resource management : ▼b summary of a workshop/ ▼c Dominic A. Brose, rapporteur ; Committee on the Practice of Sustainability Science, Science and Technology for Sustainability Program, Policy and Global Affairs, the National Academies of Sciences, Engineering, Medicine.
260 ▼a Washington, DC: ▼b National Academies Press, ▼c [2016].
300 ▼a 1 online resource (x, 74 pages): ▼b color illustrations.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references.
5050 ▼a Introduction -- Decision-oriented approaches to natural resource management -- Identifying needs and challenges for landscape and multi-resource analyses -- Methods for spatial analysis: identifying scenarios -- Methods for evaluating scenarios: reconciling quantities and values -- Multi-disciplinary and cross-agency synthesis -- Appendix A: Workshop agenda -- Appendix B: Workshop particiants -- Appendix C: Biographies of planning committee, speakers, and staff.
5201 ▼a "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"--Publisher's description.
588 ▼a Online resource; title from PDF title page (National Academies Press, viewed March 14, 2016).
650 0 ▼a Natural resources ▼x Management.
650 0 ▼a Sustainability.
650 7 ▼a BUSINESS & ECONOMICS / Real Estate / General ▼2 bisacsh
655 4 ▼a Electronic books.
7102 ▼a National Academies of Sciences, Engineering, and Medicine (U.S.). ▼b Committee on the Practice of Sustainability Science, ▼e issuing body.
77608 ▼i Print version: ▼t Integrating landscape approaches and multi-resource analysis into natural resource management. ▼d Washington : National Academies Press, 2016 ▼z 9780309392150 ▼w (OCoLC)944157374
85640 ▼3 EBSCOhost ▼u http://libproxy.dhu.ac.kr/_Lib_Proxy_Url/http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1179503
938 ▼a EBSCOhost ▼b EBSC ▼n 1179503
990 ▼a ***1012033
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