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        <title type="main" level="a">Development of a framework for modelling stand evapotranspiration at a local scale in a coastal mediterranean forest under climate change</title>
        <author>
          <persName n="1" ref="https://orcid.org/0009-0004-0019-0585" type="ORCID">
            <forename>Danilo</forename>
            <surname>Lombardi</surname>
            <placeName type="affiliation">Sapienza University of Rome, Italy</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0009-0000-0293-7161" type="ORCID">
            <forename>Kristina</forename>
            <surname>Micalizzi</surname>
            <placeName type="affiliation">Sapienza University of Rome, Italy</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0002-3652-7029" type="ORCID">
            <forename>Marcello</forename>
            <surname>Vitale</surname>
            <placeName type="affiliation">Sapienza University of Rome, Italy</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>Tenth InternationaSymposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques</title>(DOI: <idno type="DOI">10.36253/979-12-215-0556-6</idno>) by </resp>
          <name>Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2024">2024</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0556-6.21</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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            <p>Content licence CC BY-NC-SA 4.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>This work presents a novel approach for local-scale quantification of stand plant transpiration. The methodology integrates leaf-scale gas exchange, meteorological, and soil water content data with satellite data to upscale results to the stand-scale. Field data enables the calibration of a photosynthesis biochemical model, comprising three modules simulating species-specific net assimilation rates, stomatal conductance, and evapotranspiration rates (ET). ET values, calculated per species, calibrate a forest stand evapotranspiration (ETA) model based on NDVI. ET and ETA, along with other forest system fluxes, compute the forest water balance as soil water content (SWC). Both models effectively simulate SWC (R2species = 0.98, R2satellite = 0.96). Transpiration values and other water balance components are estimated using climate change scenarios (SSP 2.6 and SSP 8.5). Simulated stand evapotranspiration for 2022 is 1387.73 mm, while for SSP 2.6 and SSP 8.5 are 1216.49 mm and 1293.47 mm, respectively.</p>
      </abstract>
      <textClass>
        <keywords>
          <list>
            <item>Mediterranean ecosystem</item>
            <item>ecological modelling</item>
            <item>evapotranspiration</item>
            <item>forest water balance</item>
            <item>climate change</item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-0556-6.21<ref target="https://doi.org/10.36253/979-12-215-0556-6.21" /></p>
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