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      Heterogeneous changes of soil microclimate in high mountains and glacier forelands

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          Abstract

          Landscapes nearby glaciers are disproportionally affected by climate change, but we lack detailed information on microclimate variations that can modulate the impacts of global warming on proglacial ecosystems and their biodiversity. Here, we use near-subsurface soil temperatures in 175 stations from polar, equatorial and alpine glacier forelands to generate high-resolution temperature reconstructions, assess spatial variability in microclimate change from 2001 to 2020, and estimate whether microclimate heterogeneity might buffer the severity of warming trends. Temporal changes in microclimate are tightly linked to broad-scale conditions, but the rate of local warming shows great spatial heterogeneity, with faster warming nearby glaciers and during the warm season, and an extension of the snow-free season. Still, most of the fine-scale spatial variability of microclimate is one-to-ten times larger than the temporal change experienced during the past 20 years, indicating the potential for microclimate to buffer climate change, possibly allowing organisms to withstand, at least temporarily, the effects of warming.

          Abstract

          The high-resolution global model of soil temperature and snow cover change in mountain ecosystems developed here shows that areas nearby glaciers are warming faster than other mountain regions, and these effects are particularly rapid in tropical mountains.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            lmerTest Package: Tests in Linear Mixed Effects Models

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              High-resolution global maps of 21st-century forest cover change.

              Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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                Author and article information

                Contributors
                silvio.marta@hotmail.it
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                31 August 2023
                31 August 2023
                2023
                : 14
                : 5306
                Affiliations
                [1 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Department of Environmental Science and Policy, , University of Milan, ; Via G. Celoria 10, 20133 Milan, Italy
                [2 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Institute of Geosciences and Earth Resources, , IGG-CNR, Italian National Research Council, ; 56124 Pisa, Italy
                [3 ]GRID grid.89336.37, ISNI 0000 0004 1936 9924, Department of Geography and the Environment, , University of Texas at Austin, ; 78712 Austin, TX USA
                [4 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Department of Biosciences, , University of Milan, ; via G. Celoria 26, 20133 Milan, Italy
                [5 ]GRID grid.436694.a, ISNI 0000 0001 2154 5833, Research & Museum Collections Office, Climate and Ecology Unit, , MUSE-Science Museum, ; Corso del Lavoro e della Scienza 3, 38122 Trento, Italy
                [6 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Department of Earth Sciences “Ardito Desio”, , University of Milan, ; Via L. Mangiagalli 34, 20133 Milan, Italy
                [7 ]GRID grid.7605.4, ISNI 0000 0001 2336 6580, Department of Life Sciences and Systems Biology, , University of Turin, ; Via Accademia Albertina 13, 10123 Turin, Italy
                [8 ]GRID grid.7563.7, ISNI 0000 0001 2174 1754, Department of Earth and Environmental Sciences (DISAT) - University of Milan-Bicocca, ; Milan, Italy
                [9 ]GRID grid.462909.0, ISNI 0000 0004 0609 8934, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, ; F38000 Grenoble, France
                Author information
                http://orcid.org/0000-0001-8850-610X
                http://orcid.org/0000-0002-4902-4199
                http://orcid.org/0000-0001-9715-1830
                http://orcid.org/0000-0002-1704-4857
                http://orcid.org/0000-0002-1817-0193
                http://orcid.org/0000-0003-3414-5155
                Article
                41063
                10.1038/s41467-023-41063-6
                10471727
                37652908
                bad82048-b28e-4b17-8baf-c06ba2fe8459
                © Springer Nature Limited 2023

                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
                : 27 September 2022
                : 22 August 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 772284
                Award ID: 772284
                Award ID: 772284
                Award ID: 772284
                Award Recipient :
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                © Springer Nature Limited 2023

                Uncategorized
                climate-change impacts,cryospheric science
                Uncategorized
                climate-change impacts, cryospheric science

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