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      Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests

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          Abstract

          Earth’s forests face grave challenges in the Anthropocene, including hotter droughts increasingly associated with widespread forest die-off events. But despite the vital importance of forests to global ecosystem services, their fates in a warming world remain highly uncertain. Lacking is quantitative determination of commonality in climate anomalies associated with pulses of tree mortality—from published, field-documented mortality events—required for understanding the role of extreme climate events in overall global tree die-off patterns. Here we established a geo-referenced global database documenting climate-induced mortality events spanning all tree-supporting biomes and continents, from 154 peer-reviewed studies since 1970. Our analysis quantifies a global “hotter-drought fingerprint” from these tree-mortality sites—effectively a hotter and drier climate signal for tree mortality—across 675 locations encompassing 1,303 plots. Frequency of these observed mortality-year climate conditions strongly increases nonlinearly under projected warming. Our database also provides initial footing for further community-developed, quantitative, ground-based monitoring of global tree mortality.

          Abstract

          Tree mortality is increasing due to droughts and other climate change-related stressors, but isolating climate signals for tree mortality is challenging. Here, the authors assemble a geo-referenced global database that quantifies how drought and hotter climate drive tree mortality events.

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          A large and persistent carbon sink in the world's forests.

          The terrestrial carbon sink has been large in recent decades, but its size and location remain uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate a total forest sink of 2.4 ± 0.4 petagrams of carbon per year (Pg C year(-1)) globally for 1990 to 2007. We also estimate a source of 1.3 ± 0.7 Pg C year(-1) from tropical land-use change, consisting of a gross tropical deforestation emission of 2.9 ± 0.5 Pg C year(-1) partially compensated by a carbon sink in tropical forest regrowth of 1.6 ± 0.5 Pg C year(-1). Together, the fluxes comprise a net global forest sink of 1.1 ± 0.8 Pg C year(-1), with tropical estimates having the largest uncertainties. Our total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks.
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            A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests

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              The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

              Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.
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                Author and article information

                Contributors
                williamhammond@ufl.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 April 2022
                5 April 2022
                2022
                : 13
                : 1761
                Affiliations
                [1 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Agronomy Department, , University of Florida, ; Gainesville, FL 32611 USA
                [2 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Geography, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [3 ]GRID grid.266096.d, ISNI 0000 0001 0049 1282, Management of Complex Systems, , University of California, ; Merced, CA USA
                [4 ]GRID grid.30064.31, ISNI 0000 0001 2157 6568, School of the Environment, , Washington State University, ; Pullman, WA USA
                [5 ]GRID grid.13992.30, ISNI 0000 0004 0604 7563, Department of Plant and Environmental Sciences, , Weizmann Institute of Science, ; Rehovot, Israel
                [6 ]GRID grid.5690.a, ISNI 0000 0001 2151 2978, Sistemas y Recursos Naturales, , Universidad Politécnica de Madrid, ; Madrid, Spain
                [7 ]GRID grid.412205.0, ISNI 0000 0000 8796 243X, Instituto de Investigaciones sobre los Recursos Naturales, , Universidad Michoacana de San Nicolás de Hidalgo, ; Morelia, Michoacán Mexico
                [8 ]GRID grid.419500.9, ISNI 0000 0004 0491 7318, Department of Biogeochemical Processes, , Max Planck Institute for Biogeochemistry, ; Jena, Germany
                [9 ]GRID grid.134563.6, ISNI 0000 0001 2168 186X, School of Natural Resources and the Environment, , University of Arizona, ; Tucson, AZ USA
                [10 ]GRID grid.266832.b, ISNI 0000 0001 2188 8502, Department of Geography and Environmental Studies, , University of New Mexico, ; Albuquerque, NM USA
                Author information
                http://orcid.org/0000-0002-2904-810X
                http://orcid.org/0000-0001-8176-8166
                http://orcid.org/0000-0001-7599-9750
                http://orcid.org/0000-0002-3882-8845
                http://orcid.org/0000-0003-3553-9148
                http://orcid.org/0000-0002-8945-3959
                http://orcid.org/0000-0002-9926-5484
                http://orcid.org/0000-0002-8777-5989
                Article
                29289
                10.1038/s41467-022-29289-2
                8983702
                35383157
                7c5e551b-f712-4fe0-8f40-0c22a383f42d
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 July 2021
                : 1 March 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: 1-653428
                Award Recipient :
                Categories
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                Custom metadata
                © The Author(s) 2022

                Uncategorized
                climate-change ecology,climate-change impacts,forest ecology
                Uncategorized
                climate-change ecology, climate-change impacts, forest ecology

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