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      Land use and climate change impacts on global soil erosion by water (2015-2070)

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          Significance

          We use the latest projections of climate and land use change to assess potential global soil erosion rates by water to address policy questions; working toward the goals of the United Nations working groups under the Inter-Governmental Technical Panel on Soils of the Global Soil Partnership. This effort will enable policy makers to explore erosion extent, identify possible hotspots, and work with stakeholders to mitigate impacts. In addition, we provide insight into the potential mitigating effects attributable to conservation agriculture and the need for more effective policy instruments for soil protection. Scientifically, the modeling framework presented adopts a series of methodological advances and standardized data to communicate with adjacent disciplines and move toward robust, reproducible, and open data science.

          Abstract

          Soil erosion is a major global soil degradation threat to land, freshwater, and oceans. Wind and water are the major drivers, with water erosion over land being the focus of this work; excluding gullying and river bank erosion. Improving knowledge of the probable future rates of soil erosion, accelerated by human activity, is important both for policy makers engaged in land use decision-making and for earth-system modelers seeking to reduce uncertainty on global predictions. Here we predict future rates of erosion by modeling change in potential global soil erosion by water using three alternative (2.6, 4.5, and 8.5) Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios. Global predictions rely on a high spatial resolution Revised Universal Soil Loss Equation (RUSLE)-based semiempirical modeling approach (GloSEM). The baseline model (2015) predicts global potential soil erosion rates of 43 7 + 9.2 Pg yr −1, with current conservation agriculture (CA) practices estimated to reduce this by ∼5%. Our future scenarios suggest that socioeconomic developments impacting land use will either decrease (SSP1-RCP2.6–10%) or increase (SSP2-RCP4.5 +2%, SSP5-RCP8.5 +10%) water erosion by 2070. Climate projections, for all global dynamics scenarios, indicate a trend, moving toward a more vigorous hydrological cycle, which could increase global water erosion (+30 to +66%). Accepting some degrees of uncertainty, our findings provide insights into how possible future socioeconomic development will affect soil erosion by water using a globally consistent approach. This preliminary evidence seeks to inform efforts such as those of the United Nations to assess global soil erosion and inform decision makers developing national strategies for soil conservation.

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          Climate-smart soils.

          Soils are integral to the function of all terrestrial ecosystems and to food and fibre production. An overlooked aspect of soils is their potential to mitigate greenhouse gas emissions. Although proven practices exist, the implementation of soil-based greenhouse gas mitigation activities are at an early stage and accurately quantifying emissions and reductions remains a substantial challenge. Emerging research and information technology developments provide the potential for a broader inclusion of soils in greenhouse gas policies. Here we highlight 'state of the art' soil greenhouse gas research, summarize mitigation practices and potentials, identify gaps in data and understanding and suggest ways to close such gaps through new research, technology and collaboration.
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            Atmospheric warming and the amplification of precipitation extremes.

            Climate models suggest that extreme precipitation events will become more common in an anthropogenically warmed climate. However, observational limitations have hindered a direct evaluation of model-projected changes in extreme precipitation. We used satellite observations and model simulations to examine the response of tropical precipitation events to naturally driven changes in surface temperature and atmospheric moisture content. These observations reveal a distinct link between rainfall extremes and temperature, with heavy rain events increasing during warm periods and decreasing during cold periods. Furthermore, the observed amplification of rainfall extremes is found to be larger than that predicted by models, implying that projections of future changes in rainfall extremes in response to anthropogenic global warming may be underestimated.
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              Global warming has increased global economic inequality

              Significance We find that global warming has very likely exacerbated global economic inequality, including ∼25% increase in population-weighted between-country inequality over the past half century. This increase results from the impact of warming on annual economic growth, which over the course of decades has accumulated robust and substantial declines in economic output in hotter, poorer countries—and increases in many cooler, wealthier countries—relative to a world without anthropogenic warming. Thus, the global warming caused by fossil fuel use has likely exacerbated the economic inequality associated with historical disparities in energy consumption. Our results suggest that low-carbon energy sources have the potential to provide a substantial secondary development benefit, in addition to the primary benefits of increased energy access.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                8 September 2020
                24 August 2020
                24 August 2020
                : 117
                : 36
                : 21994-22001
                Affiliations
                [1] aEnvironmental Geosciences, University of Basel , Basel 4056, Switzerland;
                [2] bDepartment of Biological Environment, Kangwon National University , Chuncheon 24341, Republic of Korea;
                [3] cUK Centre for Ecology and Hydrology , Environment Centre Wales, Bangor LL57 2UW, United Kingdom;
                [4] dEuropean Commission, Joint Research Centre (JRC) , Ispra (VR) 21027, Italy;
                [5] eAgricultural Economics and Policy, ETH Zurich , Zurich 8092, Switzerland
                Author notes
                1To whom correspondence may be addressed. Email: pasquale.borrelli@ 123456kangwon.ac.kr .

                Edited by Erle C. Ellis, University of Maryland, Baltimore County, Baltimore, MD, and accepted by Editorial Board Member Ruth DeFries July 8, 2020 (received for review January 23, 2020)

                Author contributions: P.B. and C.B. designed research; P.B. and C.B. performed research; P.B. and C.B. contributed new reagents/analytic tools; P.B. analyzed data; and P.B., D.A.R., P.P., E.L., J.E.Y., C.A., D.W., L.M., and C.B. discussed the results and wrote the paper.

                Author information
                https://orcid.org/0000-0002-4767-5115
                https://orcid.org/0000-0001-7290-4867
                https://orcid.org/0000-0003-1484-2738
                https://orcid.org/0000-0002-8947-352X
                https://orcid.org/0000-0001-8641-6442
                https://orcid.org/0000-0002-1344-6023
                https://orcid.org/0000-0001-7452-9271
                Article
                202001403
                10.1073/pnas.2001403117
                7486701
                32839306
                b8e51e86-8308-4f3e-b99c-8447e344d5f6
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                Page count
                Pages: 8
                Categories
                9
                Social Sciences
                Environmental Sciences
                Social Sciences
                Sustainability Science
                From the Cover

                land degradation,agricultural sustainability,policy scenarios

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