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<oembed><version>1.0</version><provider_name>Environmental System Science Program</provider_name><provider_url>https://ess.science.energy.gov</provider_url><author_name>siteAdmin</author_name><author_url>https://ess.science.energy.gov/author/siteadmin/</author_url><title>Plant Water Potential Improves Prediction of Empirical Stomatal Models - Environmental System Science Program</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://ess.science.energy.gov/highlight/plant-water-potential-improves-prediction-of-empirical-stomatal-models/"&gt;Plant Water Potential Improves Prediction of Empirical Stomatal Models&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://ess.science.energy.gov/highlight/plant-water-potential-improves-prediction-of-empirical-stomatal-models/embed/" width="600" height="338" title="&#x201C;Plant Water Potential Improves Prediction of Empirical Stomatal Models&#x201D; &#x2014; Environmental System Science Program" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>Plant Water Potential Improves Prediction of Empirical Stomatal Models Many biomes contain a diversity of plant stomatal strategies during water stress. Ecosystem models rely on empirical relationships to predict stomatal responses to changing environmental conditions, but these are not well tested during drought conditions. Scientists from the University of Utah, in conjunction with the Next-Generation [&hellip;]</description></oembed>
