<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title type="main" level="a">Estimation of gross and primary production in a coastal forest area undergone to clearcuts</title>
        <author>
          <persName n="1" ref="https://orcid.org/0000-0003-3459-6693" type="ORCID">
            <forename>Marta</forename>
            <surname>Chiesi</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, Italy</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0003-1858-9653" type="ORCID">
            <forename>Piero</forename>
            <surname>Battista</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, Italy</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0003-1409-2244" type="ORCID">
            <forename>Lorenzo</forename>
            <surname>Bottai</surname>
            <placeName type="affiliation">LaMMA Consortium, Italy</placeName>
          </persName>
          <persName n="4" ref="https://orcid.org/0000-0001-6985-6809" type="ORCID">
            <forename>Luca</forename>
            <surname>Fibbi</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, Italy</placeName>
          </persName>
          <persName n="5">
            <forename>Francesco</forename>
            <surname>Manetti</surname>
            <placeName type="affiliation">LaMMA Consortium, Italy</placeName>
          </persName>
          <persName n="6" ref="https://orcid.org/0000-0003-0930-8346" type="ORCID">
            <forename>Maurizio</forename>
            <surname>Pieri</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, Italy</placeName>
          </persName>
          <persName n="7" ref="https://orcid.org/0000-0002-3089-5664" type="ORCID">
            <forename>Bernardo</forename>
            <surname>Rapi</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, Italy</placeName>
          </persName>
          <persName n="8" ref="https://orcid.org/0000-0001-6475-4600" type="ORCID">
            <forename>Fabio</forename>
            <surname>Maselli</surname>
            <placeName type="affiliation">CNR-IBE, Institute of BioEconomy, 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>
        </respStmt>
      </titleStmt>
      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2024">2024</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0556-6.13</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">
            <p>Content licence CC BY-NC-SA 4.0</p>
          </licence>
          <licence source="metadata" target="https://creativecommons.org/publicdomain/zero/1.0/legalcode">
            <p>Metadata licence CC0 1.0</p>
          </licence>
        </availability>
      </publicationStmt>
      <sourceDesc>
        <p>This is original content, published for academic research purposes</p>
      </sourceDesc>
    </fileDesc>
    <encodingDesc>
      <appInfo>
        <application version="2.2" ident="Booksflow">
          <desc>Digital edition XML powered by Booksflow</desc>
        </application>
      </appInfo>
    </encodingDesc>
    <profileDesc>
      <abstract xml:lang="en">
        <p>The current study presents the application of a model combination strategy to analyse gross and net production in a Mediterranean pine wood ecosystem. The test site is in the San Rossore Regional Park (Central Italy), an area originally characterised by the presence of Pinus pinaster Ait and Pinus pinea L. Since 2004 the former species was attacked by an insect and was therefore subjected to clearcuts around 2012. The latter species, not affected by the insect, has continued to grow, reaching the senescent stage. The evolution of two large stands (i.e., one per species) in terms of gross and net primary production over the years 2013-2022 is then reconstructed by applying satellite-based and process-based models to different datasets: a daily meteorological one, a set of 16-day MODIS NDVI images at 250 m spatial resolution, a LiDAR image taken in 2015 and digital orthophotos referred to 2021. The study shows how this modelling strategy can be successfully used to analyse the influence of climate and management on this forest ecosystem, and to reconstruct the evolution of two stands in different growing phase. Such assessment is relevant to provide the information required for sustainable forest management, concerning in particular carbon cycle ecosystem services.</p>
      </abstract>
      <textClass>
        <keywords>
          <list>
            <item>Mediterranean pines</item>
            <item>development stage</item>
            <item>Matsococcus feytaudi</item>
            <item>GPP</item>
            <item>NPP</item>
          </list>
        </keywords>
      </textClass>
    </profileDesc>
  </teiHeader>
  <text>
    <body>
      <p>It is available online at https://doi.org/10.36253/979-12-215-0556-6.13<ref target="https://doi.org/10.36253/979-12-215-0556-6.13" /></p>
      <div>
        <listBibl>
          <head>References</head>
          <bibl n="185326">
            <bibl>Seidl R., Thom D., Kautz M., Martin-Benito D., Peltoniemi M., Vacchiano G., et al. (2017) - Forest disturbances under climate change. Nat. Clim. Change 7, 395–402.</bibl>
            <idno type="DOI">10.1038/nclimate3303</idno>
          </bibl>
          <bibl n="185073">
            <bibl>Pilli R., Alkama R., Cescatti A., Kurz W.A., Grassi G. (2022) - The European forest carbon budget under future climate conditions and current management practices, Biogeosci. 19, 3263–3284.</bibl>
            <idno type="DOI">10.5194/bg-19-3263-2022</idno>
          </bibl>
          <bibl n="185756">Waring RW, Running S.W. (2007) – Forest ecosystems. Analysis at multiple scales, 3rd ed., Elsevier, Berlin.</bibl>
          <bibl n="184759">
            <bibl>Maselli F., Chiesi M., Moriondo M., Fibbi L., Bindi M., Running, S.W. (2009) - Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data, Ecol. Model. 220, 330 - 342</bibl>
            <idno type="DOI">10.1016/j.ecolmodel.2008.10.002</idno>
          </bibl>
          <bibl n="184605">
            <bibl>Sciarretta A., Marziali L., Squarcini M., Marianelli L., Benassai D., Logli F., Roversi P.F. (2015) - Adaptive management of invasive pests in natural protected areas: the case of Matsucoccus feytaudi in Central Italy, Bulletin Entomol. Res.</bibl>
            <idno type="DOI">10.1017/S0007485315000851</idno>
          </bibl>
          <bibl n="184368">
            <bibl>Cambi M., Paffetti D., Vettori C., Picchio R., Venanzi R., Marchi E. (2017) - Assessment of the impact of forest harvesting operations on the physical parameters and microbiological components on a Mediterranean sandy soil in an Italian stone pine stand, Eu. J. Forest Res. 136(2), 205-215.</bibl>
            <idno type="DOI">10.1007/s10342-016-1020-5</idno>
          </bibl>
          <bibl n="185273">
            <bibl>Thornton P.E., Running S.W., White M.A. (1997) - Generating surfaces of daily meteorological variables over large regions of complex terrain, J. Hydrol. 190, 214 -251.</bibl>
            <idno type="DOI">10.1016/S0022-1694(96)03128-9</idno>
          </bibl>
          <bibl n="184650">
            <bibl>Fibbi L., Maselli F., Pieri M. (2020) - Improved estimation of global solar radiation over rugged terrains by the disaggregation of Satellite Applications Facility on Land Surface Analysis data (LSA SAF), Meteorol. Appl. 27(4), e1940.</bibl>
            <idno type="DOI">10.1002/met.1940</idno>
          </bibl>
          <bibl n="184814">
            <bibl>Maselli F., Papale D., Puletti N., Chirici G., Corona P. (2009) - Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems, Remote Sens. Environ. 113, 657-667.</bibl>
            <idno type="DOI">10.1016/j.rse.2008.11.008</idno>
          </bibl>
          <bibl n="184410">Running S.W., Zhao M., (2021) - User’s Guide. Daily GPP and annual NPP (MOD17A2H/A3H) and year-end gap-filled (MOD17A2HGF/A3HGF) products NASA Earth Observing System MODIS Land Algorithm (For collection 6.1). https//modis-land.gsfc.nasa.gov/pdf/MOD17C61UsersGuideV11Mar112021.pdf</bibl>
          <bibl n="185490">Golinkoff, J. Biome BGC Version 4.2: Theoretical Framework of Biome-BGC. January 2010. Available online: http://www.ntsg.umt.edu/project/biome-bgc</bibl>
          <bibl n="184805">
            <bibl>Chirici G., Chiesi M., Fibbi L., Giannetti F., Corona P., Maselli F. (2022) - High spatial resolution modelling of net forest carbon fluxes based on ground and remote sensing data, Agric. For. Meteorol. 316, 108866.</bibl>
            <idno type="DOI">10.1016/j.agrformet.2022.108866</idno>
          </bibl>
          <bibl n="185584">
            <bibl>Maselli F., Mari R., Chiesi M. (2013) - Use of LiDAR data to simulate forest net primary production, Int. J. Remote Sens. 34, 2487–2501.</bibl>
            <idno type="DOI">10.1080/01431161.2012.745019</idno>
          </bibl>
          <bibl n="184825">
            <bibl>Chiesi M., Fibbi L., Vanucci S., Maselli F. (2024) - Use of remote sensing and biogeochemical modelling to simulate the impact of climatic and anthropogenic factors on forest carbon fluxes, Remote Sens. 16(2), 232.</bibl>
            <idno type="DOI">10.3390/rs16020232</idno>
          </bibl>
          <bibl n="184699">
            <bibl>Dietmaier A., McDermid G.J., Rahman M.M., Linke J., Ludwig R. (2019) - Comparison of LiDAR and Digital Aerial Photogrammetry for Characterizing Canopy Openings in the Boreal Forest of Northern Alberta, Remote Sens. 11(16), 1919.</bibl>
            <idno type="DOI">10.3390/rs11161919</idno>
          </bibl>
        </listBibl>
      </div>
    </body>
  </text>
</TEI>