
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
  <ns1:general>
    <ns1:identifier>o:7951</ns1:identifier>
    <ns1:title language="en">Soil mosaic: A multi-modelling approach to understand the complex interactions that determine the spatial heterogeneity of soil health - An example from Serbia</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract: In this study, an integrated and explainable modelling framework is applied to assess soil health and its spatial
heterogeneity in Eastern Serbia. The approach combines Network Analysis (NA), Self-Organizing Maps (SOM)
and the Geodetector Model (GDM) to identify key soil indicators, reveal spatial patterns and quantify the influence
of environmental factors. The main objectives were: (i) to develop a scalable and transferable methodology
to assess soil health, (ii) to identify the most influential natural and anthropogenic factors and (iii) to create
a Soil Health Disturbance Index (SHDI) to visualise the impact at ecosystem level. A total of 2,555 soil samples
were analysed using fourteen key indicators, while nine environmental variables were considered as potential
influencing factors. The network analysis identified pH, cadmium (Cd) and potassium (K) as the most central
elements within the soil system. SOM clustering revealed five different spatial patterns associated with dominant
soil processes, while GDM results emphasised soil type (Q = 0.26) and parent material (Q = 0.24) as the strongest
individual influencing factors. In particular, interactive effects such as soil type ∩ soil erosion (Q = 0.47)
indicated a significant nonlinear amplification of soil health disturbances. The SHDI results showed that 26.9 %
of the region is categorised as highly disturbed, mainly in urban and industrial areas. Overall, the proposed
framework enhances the diagnostic capacity for soil health assessment and offers practical support for sustainable
soil management and evidence-based spatial planning.</ns1:description>
    <ns1:keyword language="en">Soil health, Natural factors, Anthropogenic factors, Spatial heterogeneity</ns1:keyword>
    <ns2:identifiers>
      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.1016/j.compag.2025.110664</ns2:identifier>
    </ns2:identifiers>
  </ns1:general>
  <ns1:lifecycle>
    <ns1:upload_date>2025-07-09T12:20:55.198Z</ns1:upload_date>
    <ns1:status>44</ns1:status>
    <ns2:peer_reviewed>no</ns2:peer_reviewed>
    <ns1:contribute seq="0">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Veljko </ns3:firstname>
        <ns3:lastname>Perović</ns3:lastname>
        <ns3:institution>Department of Ecology, Institute for Biological Research ‘Siniˇsa Stankovi´c’ - National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11108, Serbia</ns3:institution>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="1">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Vesna</ns3:firstname>
        <ns3:lastname>Mrvić</ns3:lastname>   
     <ns3:institution>Institute of Soil Science</ns3:institution>
        <ns3:orcid>0000-0002-6666-0875</ns3:orcid>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="2">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Dragan </ns3:firstname>
        <ns3:lastname>Čakmak</ns3:lastname>
        <ns3:institution>Department of Ecology, Institute for Biological Research ‘Siniˇsa Stankovi´c’ - National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11108, Serbia</ns3:institution>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="3">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Biljana </ns3:firstname>
        <ns3:lastname>Sikirić</ns3:lastname>
        <ns3:institution>Institute of Soil Science</ns3:institution>
        <ns3:orcid>0000-0002-8308-4582</ns3:orcid>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="4">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Zoran </ns3:firstname>
        <ns3:lastname>Dinić</ns3:lastname>
        <ns3:institution>Institute of Soil Science</ns3:institution>
        <ns3:orcid>0000-0003-4109-4106</ns3:orcid>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="5">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Miroslava </ns3:firstname>
        <ns3:lastname>Mitrović</ns3:lastname>
        <ns3:institution>Department of Ecology, Institute for Biological Research ‘Siniˇsa Stankovi´c’ - National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11108, Serbia</ns3:institution>
      </ns1:entity>
    </ns1:contribute>
    <ns1:contribute seq="6">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Pavle </ns3:firstname>
        <ns3:lastname>Pavlović</ns3:lastname>
        <ns3:institution>Department of Ecology, Institute for Biological Research ‘Siniˇsa Stankovi´c’ - National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11108, Serbia</ns3:institution>
      </ns1:entity>
    </ns1:contribute>
  </ns1:lifecycle>
  <ns1:technical>
    <ns1:format>application/pdf</ns1:format>
    <ns1:size>13581213</ns1:size>
    <ns1:location>https://unilib.phaidrabg.rs/o:7951</ns1:location>
  </ns1:technical>
  <ns1:rights>
    <ns1:cost>no</ns1:cost>
    <ns1:copyright>yes</ns1:copyright>
    <ns1:license>1</ns1:license>
  </ns1:rights>
  <ns1:classification>
    <ns1:purpose>70</ns1:purpose>
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  <ns1:organization>
    <ns8:hoschtyp>92000001</ns8:hoschtyp>
    <ns8:orgassignment>
      <ns8:faculty>71A05</ns8:faculty>
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  <ns12:digitalbook>
    <ns12:name_magazine language="en">Computers and Electronics in Agriculture</ns12:name_magazine>
    <ns12:releaseyear>2025</ns12:releaseyear>
  </ns12:digitalbook>
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