<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Avni Malhotra</dc:contributor>
  <dc:contributor>Sheel Bansal</dc:contributor>
  <dc:contributor>Etienne Fluet-Chouinard</dc:contributor>
  <dc:contributor>Gavin McNicol</dc:contributor>
  <dc:contributor>Sarah Knox</dc:contributor>
  <dc:contributor>Kyle Delwiche</dc:contributor>
  <dc:contributor>Raul Cordero</dc:contributor>
  <dc:contributor>Zutao Ouyang</dc:contributor>
  <dc:contributor>Zhen Zhang</dc:contributor>
  <dc:contributor>Benjamin Poulter</dc:contributor>
  <dc:contributor>Robert B. Jackson</dc:contributor>
  <dc:creator>Sarah Feron</dc:creator>
  <dc:date>2024</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Climate warming is expected to increase global methane (CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;) emissions from wetland ecosystems. Although in&amp;nbsp;situ eddy covariance (EC) measurements at ecosystem scales can potentially detect CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;flux changes, most EC systems have only a few years of data collected, so temporal trends in CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;remain uncertain. Here, we use established drivers to hindcast changes in CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;fluxes (FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;) since the early 1980s. We trained a machine learning (ML) model on CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;flux measurements from 22 [methane-producing sites] in wetland, upland, and lake sites of the FLUXNET-CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;database with at least two full years of measurements across temperate and boreal biomes. The gradient boosting decision tree ML model then hindcasted daily FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;over 1981–2018 using meteorological reanalysis data. We found that, mainly driven by rising temperature, half of the sites (&lt;/span&gt;&lt;i&gt;n&lt;/i&gt;&lt;span&gt; = 11) showed significant increases in annual, seasonal, and extreme FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;, with increases in FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;of ca. 10% or higher found in the fall from 1981–1989 to 2010–2018. The annual trends were driven by increases during summer and fall, particularly at high-CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;-emitting fen sites dominated by aerenchymatous plants. We also found that the distribution of days of extremely high FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;(defined according to the 95th percentile of the daily FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;values over a reference period) have become more frequent during the last four decades and currently account for 10–40% of the total seasonal fluxes. The share of extreme FCH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;days in the total seasonal fluxes was greatest in winter for boreal/taiga sites and in spring for temperate sites, which highlights the increasing importance of the non-growing seasons in annual budgets. Our results shed light on the effects of climate warming on wetlands, which appears to be extending the CH&lt;/span&gt;&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;emission seasons and boosting extreme emissions.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/gcb.17131</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>