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      Longitudinal Gradients in Tree Stem Greenhouse Gas Concentrations Across Six Pacific Northwest Coastal Forests

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          Modeled impact of anthropogenic warming on the frequency of intense Atlantic hurricanes.

          Several recent models suggest that the frequency of Atlantic tropical cyclones could decrease as the climate warms. However, these models are unable to reproduce storms of category 3 or higher intensity. We explored the influence of future global warming on Atlantic hurricanes with a downscaling strategy by using an operational hurricane-prediction model that produces a realistic distribution of intense hurricane activity for present-day conditions. The model projects nearly a doubling of the frequency of category 4 and 5 storms by the end of the 21st century, despite a decrease in the overall frequency of tropical cyclones, when the downscaling is based on the ensemble mean of 18 global climate-change projections. The largest increase is projected to occur in the Western Atlantic, north of 20 degrees N.
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            Methane emissions from wetlands: biogeochemical, microbial, and modeling perspectives from local to global scales.

            Understanding the dynamics of methane (CH4 ) emissions is of paramount importance because CH4 has 25 times the global warming potential of carbon dioxide (CO2 ) and is currently the second most important anthropogenic greenhouse gas. Wetlands are the single largest natural CH4 source with median emissions from published studies of 164 Tg yr(-1) , which is about a third of total global emissions. We provide a perspective on important new frontiers in obtaining a better understanding of CH4 dynamics in natural systems, with a focus on wetlands. One of the most exciting recent developments in this field is the attempt to integrate the different methodologies and spatial scales of biogeochemistry, molecular microbiology, and modeling, and thus this is a major focus of this review. Our specific objectives are to provide an up-to-date synthesis of estimates of global CH4 emissions from wetlands and other freshwater aquatic ecosystems, briefly summarize major biogeophysical controls over CH4 emissions from wetlands, suggest new frontiers in CH4 biogeochemistry, examine relationships between methanogen community structure and CH4 dynamics in situ, and to review the current generation of CH4 models. We highlight throughout some of the most pressing issues concerning global change and feedbacks on CH4 emissions from natural ecosystems. Major uncertainties in estimating current and future CH4 emissions from natural ecosystems include the following: (i) A number of important controls over CH4 production, consumption, and transport have not been, or are inadequately, incorporated into existing CH4 biogeochemistry models. (ii) Significant errors in regional and global emission estimates are derived from large spatial-scale extrapolations from highly heterogeneous and often poorly mapped wetland complexes. (iii) The limited number of observations of CH4 fluxes and their associated environmental variables loosely constrains the parameterization of process-based biogeochemistry models. © 2012 Blackwell Publishing Ltd.
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              Relationship between wind speed and gas exchange over the ocean revisited

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                Author and article information

                Journal
                Journal of Geophysical Research: Biogeosciences
                J. Geophys. Res. Biogeosci.
                American Geophysical Union (AGU)
                2169-8953
                2169-8961
                June 06 2019
                June 2019
                June 06 2019
                June 2019
                : 124
                : 6
                : 1401-1412
                Affiliations
                [1 ]Marine Sciences LaboratoryPacific Northwest National Laboratory Sequim WA USA
                [2 ]School of OceanographyUniversity of Washington Seattle WA USA
                [3 ]Atmospheric Sciences and Global ChangePacific Northwest National Laboratory Richland WA USA
                [4 ]Biological Sciences DivisionPacific Northwest National Laboratory Richland WA USA
                Article
                10.1029/2019JG005064
                0b644f19-0948-4e36-8d7a-22d2bdc98526
                © 2019

                http://creativecommons.org/licenses/by-nc-nd/4.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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