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      Mapping interactions between the sustainable development goals: lessons learned and ways forward

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          Pursuing integrated research and decision-making to advance action on the sustainable development goals (SDGs) fundamentally depends on understanding interactions between the SDGs, both negative ones (“trade-offs”) and positive ones (“co-benefits”). This quest, triggered by the 2030 Agenda, has however pointed to a gap in current research and policy analysis regarding how to think systematically about interactions across the SDGs. This paper synthesizes experiences and insights from the application of a new conceptual framework for mapping and assessing SDG interactions using a defined typology and characterization approach. Drawing on results from a major international research study applied to the SDGs on health, energy and the ocean, it analyses how interactions depend on key factors such as geographical context, resource endowments, time horizon and governance. The paper discusses the future potential, barriers and opportunities for applying the approach in scientific research, in policy making and in bridging the two through a global SDG Interactions Knowledge Platform as a key mechanism for assembling, systematizing and aggregating knowledge on interactions.

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          Most cited references 46

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          Analysis and valuation of the health and climate change cobenefits of dietary change.

          What we eat greatly influences our personal health and the environment we all share. Recent analyses have highlighted the likely dual health and environmental benefits of reducing the fraction of animal-sourced foods in our diets. Here, we couple for the first time, to our knowledge, a region-specific global health model based on dietary and weight-related risk factors with emissions accounting and economic valuation modules to quantify the linked health and environmental consequences of dietary changes. We find that the impacts of dietary changes toward less meat and more plant-based diets vary greatly among regions. The largest absolute environmental and health benefits result from diet shifts in developing countries whereas Western high-income and middle-income countries gain most in per capita terms. Transitioning toward more plant-based diets that are in line with standard dietary guidelines could reduce global mortality by 6-10% and food-related greenhouse gas emissions by 29-70% compared with a reference scenario in 2050. We find that the monetized value of the improvements in health would be comparable with, or exceed, the value of the environmental benefits although the exact valuation method used considerably affects the estimated amounts. Overall, we estimate the economic benefits of improving diets to be 1-31 trillion US dollars, which is equivalent to 0.4-13% of global gross domestic product (GDP) in 2050. However, significant changes in the global food system would be necessary for regional diets to match the dietary patterns studied here.
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            Vulnerability of coastal communities to key impacts of climate change on coral reef fisheries

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              Poverty and biodiversity: Measuring the overlap of human poverty and the biodiversity hotspots


                Author and article information

                0046 733309382 ,
                Sustain Sci
                Sustain Sci
                Sustainability Science
                Springer Japan (Tokyo )
                13 July 2018
                13 July 2018
                : 13
                : 6
                : 1489-1503
                [1 ]ISNI 0000000121581746, GRID grid.5037.1, Stockholm Environment Institute, , Sweden and Royal Institute of Technology, ; Stockholm, Sweden
                [2 ]ISNI 0000 0004 1936 7830, GRID grid.29980.3a, He Kainga Oranga/Housing and Health Research Programme, Department of Public Health, , University of Otago, ; Wellington, New Zealand
                [3 ]ISNI 0000 0000 8809 1613, GRID grid.7372.1, Institute for Global Sustainable Development, , University of Warwick, ; Coventry, UK
                [4 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Monash Sustainable Development Institute, , Monash University, ; Melbourne, Australia
                [5 ]ISNI 0000 0001 1955 9478, GRID grid.75276.31, Energy Program at the International Institute for Applied Systems Analysis (IIASA), ; Laxenburg, Austria
                [6 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Centre for Development and Environment (CDE), , University of Bern, ; Bern, Switzerland
                [7 ]ISNI 0000 0004 0409 4235, GRID grid.464582.9, Institute for Advanced Sustainability Studies (IASS), ; Potsdam, Germany
                [8 ]ISNI 0000 0004 4910 3537, GRID grid.494152.f, International Council for Science (ICSU), ; Paris, France
                [9 ]ISNI 0000 0000 9056 9663, GRID grid.15649.3f, GEOMAR Helmholtz Centre for Ocean Research Kiel and Kiel University, ; Kiel, Germany
                [10 ]GRID grid.469914.7, CSIRO Land and Water, ; Canberra, Australia
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                Funded by: FundRef, Horizon 2020 Framework Programme;
                Award ID: 642147
                Award Recipient :
                Funded by: Swedish International Development Cooperation Agency Sida (SE)
                Special Feature: Original Article
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                © Springer Japan KK, part of Springer Nature 2018


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