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      Declining greenness in Arctic-boreal lakes

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          Significance

          Arctic and boreal regions are undergoing dramatic warming and also possess the world’s highest concentration of lakes. However, ecological changes in lakes are poorly understood. We present a continental-scale trend analysis of satellite lake color in the green wavelengths, which shows declining greenness from 1984 to 2019 in Arctic-boreal lakes across western North America. Annual 30-m Landsat composites indicate lake greenness has decreased by 15%. Our findings show a relationship between lake color, rising air temperatures, and increasing precipitation, supporting the theory that warming may be increasing connectivity between lakes and surrounding landscapes. Overall, our results bring a powerful set of observations in support of the hypothesis that lakes are sentinels for global change in rapidly warming Arctic-boreal ecosystems.

          Abstract

          The highest concentration of the world’s lakes are found in Arctic-boreal regions [C. Verpoorter, T. Kutser, D. A. Seekell, L. J. Tranvik, Geophys. Res. Lett. 41, 6396–6402 (2014)], and consequently are undergoing the most rapid warming [J. E. Overland et al., Arctic Report Card (2018)]. However, the ecological response of Arctic-boreal lakes to warming remains highly uncertain. Historical trends in lake color from remote sensing observations can provide insights into changing lake ecology, yet have not been examined at the pan-Arctic scale. Here, we analyze time series of 30-m Landsat growing season composites to quantify trends in lake greenness for >4 × 10 5 waterbodies in boreal and Arctic western North America. We find lake greenness declined overall by 15% from the first to the last decade of analysis within the 6.3 × 10 6-km 2 study region but with significant spatial variability. Greening declines were more likely to be found in areas also undergoing increases in air temperature and precipitation. These findings support the hypothesis that warming has increased connectivity between lakes and the land surface [A. Bring et al., J. Geophys. Res. Biogeosciences 121, 621–649 (2016)], with implications for lake carbon cycling and energy budgets. Our study provides spatially explicit information linking climate to pan-Arctic lake color changes, a finding that will help target future ecological monitoring in remote yet rapidly changing regions.

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              Increased plant growth in the northern high latitudes from 1981 to 1991

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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
                13 April 2021
                05 April 2021
                05 April 2021
                : 118
                : 15
                : e2021219118
                Affiliations
                [1] aSchool of Environmental and Forest Sciences, University of Washington , Seattle, WA 98195;
                [2] bDepartment of Civil and Environment Engineering, University of Washington , Seattle, WA 98195
                Author notes
                1To whom correspondence may be addressed. Email: ckuhn@ 123456uw.edu .

                Edited by Jonathan J. Cole, Cary Institute of Ecosystem Studies, Avon, NC, and approved February 12, 2021 (received for review October 13, 2020)

                Author contributions: C.K. and D.B. designed research; C.K. performed research; C.K. contributed new reagents/analytic tools; C.K. analyzed data; C.K. wrote the paper; and D.B. provided scientific advising.

                Author information
                https://orcid.org/0000-0002-9220-630X
                https://orcid.org/0000-0003-3520-7426
                Article
                202021219
                10.1073/pnas.2021219118
                8053985
                33876758
                94c78893-6d72-4184-8250-a6af56150910
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 8
                Funding
                Funded by: NASA Earth and Space Science Fellowship
                Award ID: NESSF17
                Award Recipient : Catherine Kuhn
                Categories
                417
                Biological Sciences
                Environmental Sciences

                lakes,color,landsat,arctic,boreal
                lakes, color, landsat, arctic, boreal

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