Exploring innovative techniques for identifying geochemical elements as fingerprints of sediment sources in an agricultural catchment of Argentina affected by ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Romina Torres Astorga, Sergio de los Santos Villalobos, Hugo Velasco, Olgioly Domínguez-Quintero, Renan Pereira Cardoso, Roberto Meigikos dos Anjos, Yacouba Diawara, Gerd Dercon, Lionel Mabit

ABSTRACT

Identification of hot spots of land degradation is strongly related with the selection of soil tracers for sediment pathways. This research proposes the complementary and integrated application of two analytical techniques to select the most suitable fingerprint tracers for identifying the main sources of sediments in an agricultural catchment located in Central Argentina with erosive loess soils. Diffuse reflectance Fourier transformed in the mid-infrared range (DRIFT-MIR) spectroscopy and energy-dispersive X-ray fluorescence (EDXRF) were used for a suitable fingerprint selection. For using DRIFT-MIR spectroscopy as fingerprinting technique, calibration through quantitative parameters is needed to link and correlate DRIFT-MIR spectra with soil tracers. EDXRF was used in this context for determining the concentrations of geochemical elements in soil samples. The selected tracers were confirmed using two artificial mixtures composed of known proportions of soil collected in different sites with distinctive soil uses. These fingerprint elements were used as parameters to build a predictive model with the whole set of DRIFT-MIR spectra. Fingerprint elements such as phosphorus, iron, calcium, barium, and titanium were identified for obtaining a suitable reconstruction of the source proportions in the artificial mixtures. Mid-infrared spectra produced successful prediction models (R2 = 0.91) for Fe content and moderate useful prediction (R2 = 0.72) for Ti content. For Ca, P, and Ba, the R2 were 0.44, 0.58, and 0.59 respectively. More... »

PAGES

20868-20879

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-018-2154-4

DOI

http://dx.doi.org/10.1007/s11356-018-2154-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103995246

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29766420


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Soil Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Agriculture", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Argentina", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geologic Sediments", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil Pollutants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spectroscopy, Fourier Transform Infrared", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National University of San Luis", 
          "id": "https://www.grid.ac/institutes/grid.412115.2", 
          "name": [
            "Grupo de Estudios Ambientales, Instituto de Matem\u00e1tica Aplicada San Luis, Universidad Nacional de San Luis/Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas, San Luis, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torres Astorga", 
        "givenName": "Romina", 
        "id": "sg:person.07445210540.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445210540.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sonora Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.466844.c", 
          "name": [
            "CONACYT-Instituto Tecnol\u00f3gico de Sonora, Ciudad Obreg\u00f3n, Sonora, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de los Santos Villalobos", 
        "givenName": "Sergio", 
        "id": "sg:person.01274360755.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274360755.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of San Luis", 
          "id": "https://www.grid.ac/institutes/grid.412115.2", 
          "name": [
            "Grupo de Estudios Ambientales, Instituto de Matem\u00e1tica Aplicada San Luis, Universidad Nacional de San Luis/Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas, San Luis, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Velasco", 
        "givenName": "Hugo", 
        "id": "sg:person.01113764733.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113764733.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central University of Venezuela", 
          "id": "https://www.grid.ac/institutes/grid.8171.f", 
          "name": [
            "Laboratorio de Investigaci\u00f3n de Qu\u00edmica Aplicada, Facultad de Ingenier\u00eda, Universidad Central de Venezuela, Caracas, Venezuela"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dom\u00ednguez-Quintero", 
        "givenName": "Olgioly", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fluminense Federal University", 
          "id": "https://www.grid.ac/institutes/grid.411173.1", 
          "name": [
            "Laborat\u00f3rio de Radioecologia e Altera\u00e7\u00f5es Ambientais (LARA), Instituto de F\u00edsica, Universidade Federal Fluminense, Av. Litoranea S/N, 24210-346, Niter\u00f3i, Rio de Janeiro, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pereira Cardoso", 
        "givenName": "Renan", 
        "id": "sg:person.01005075560.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005075560.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fluminense Federal University", 
          "id": "https://www.grid.ac/institutes/grid.411173.1", 
          "name": [
            "Laborat\u00f3rio de Radioecologia e Altera\u00e7\u00f5es Ambientais (LARA), Instituto de F\u00edsica, Universidade Federal Fluminense, Av. Litoranea S/N, 24210-346, Niter\u00f3i, Rio de Janeiro, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meigikos dos Anjos", 
        "givenName": "Roberto", 
        "id": "sg:person.015776060754.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015776060754.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Atomic Energy Agency", 
          "id": "https://www.grid.ac/institutes/grid.420221.7", 
          "name": [
            "U.S. Department of Energy, NBL Program Office, Argonne, IL, USA", 
            "Nuclear Science and Instrumentation Laboratory (NSIL), Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Seibersdorf, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diawara", 
        "givenName": "Yacouba", 
        "id": "sg:person.015562111405.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015562111405.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Atomic Energy Agency", 
          "id": "https://www.grid.ac/institutes/grid.420221.7", 
          "name": [
            "Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dercon", 
        "givenName": "Gerd", 
        "id": "sg:person.0771010463.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771010463.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Atomic Energy Agency", 
          "id": "https://www.grid.ac/institutes/grid.420221.7", 
          "name": [
            "Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mabit", 
        "givenName": "Lionel", 
        "id": "sg:person.01037123663.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037123663.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00442-003-1218-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000535259", 
          "https://doi.org/10.1007/s00442-003-1218-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2008.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003112794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2014.07.105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004557926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2014.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007814965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2389.2009.01121.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007904973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2389.2009.01121.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007904973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9781118643525.ch3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008885770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvrad.2013.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011740498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/05704928.2013.811081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012915463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.geoderma.2005.03.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013923957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10311-012-0380-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014515868", 
          "https://doi.org/10.1007/s10311-012-0380-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9837(199801)23:1<31::aid-esp816>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016247279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apgeochem.2012.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016784637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.catena.2016.06.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018316142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.geoderma.2013.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020773892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.geomorph.2013.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022955564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2389.2011.01420.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023273943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0009672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023930225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024123754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.softx.2016.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024368717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/bg-10-2897-2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024547211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wcc.316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025922132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-007-9012-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033495074", 
          "https://doi.org/10.1007/s12237-007-9012-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12237-007-9012-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033495074", 
          "https://doi.org/10.1007/s12237-007-9012-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earscirev.2016.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034311398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.geoderma.2010.06.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035283046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1023999816690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035718165", 
          "https://doi.org/10.1023/a:1023999816690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.geomorph.2011.10.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037604273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2113(10)07005-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039557961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11368-013-0659-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042484138", 
          "https://doi.org/10.1007/s11368-013-0659-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/ea97144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042711638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.catena.2010.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044767459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2015.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050283968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/sr9910049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051286875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10668-005-1262-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051288311", 
          "https://doi.org/10.1007/s10668-005-1262-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10668-005-1262-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051288311", 
          "https://doi.org/10.1007/s10668-005-1262-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(02)00011-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051380508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apradiso.2013.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052682632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053288142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.10901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053625871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1306/74d706dc-2b21-11d7-8648000102c1865d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064948017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq2000.00472425002900050012x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069007108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq2006.0008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069009222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq2010.0169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069010370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2136/sssaj2000.643962x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069049150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2136/sssaj2006.0030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069050844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2136/sssaj2014.11.0458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069052835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3406/morfo.1996.877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071298434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-08-100355-8.00005-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092195111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2017.09.163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092297002"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-07", 
    "datePublishedReg": "2018-07-01", 
    "description": "Identification of hot spots of land degradation is strongly related with the selection of soil tracers for sediment pathways. This research proposes the complementary and integrated application of two analytical techniques to select the most suitable fingerprint tracers for identifying the main sources of sediments in an agricultural catchment located in Central Argentina with erosive loess soils. Diffuse reflectance Fourier transformed in the mid-infrared range (DRIFT-MIR) spectroscopy and energy-dispersive X-ray fluorescence (EDXRF) were used for a suitable fingerprint selection. For using DRIFT-MIR spectroscopy as fingerprinting technique, calibration through quantitative parameters is needed to link and correlate DRIFT-MIR spectra with soil tracers. EDXRF was used in this context for determining the concentrations of geochemical elements in soil samples. The selected tracers were confirmed using two artificial mixtures composed of known proportions of soil collected in different sites with distinctive soil uses. These fingerprint elements were used as parameters to build a predictive model with the whole set of DRIFT-MIR spectra. Fingerprint elements such as phosphorus, iron, calcium, barium, and titanium were identified for obtaining a suitable reconstruction of the source proportions in the artificial mixtures. Mid-infrared spectra produced successful prediction models (R2\u2009=\u20090.91) for Fe content and moderate useful prediction (R2\u2009=\u20090.72) for Ti content. For Ca, P, and Ba, the R2 were 0.44, 0.58, and 0.59 respectively.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11356-018-2154-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1113424", 
        "issn": [
          "0944-1344", 
          "1614-7499"
        ], 
        "name": "Environmental Science and Pollution Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "21", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "Exploring innovative techniques for identifying geochemical elements as fingerprints of sediment sources in an agricultural catchment of Argentina affected by soil erosion", 
    "pagination": "20868-20879", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "27bdba33b95d07e502c5ba802df688ddf36a48c8d7114b6a80807e65a5b1f781"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29766420"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9441769"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11356-018-2154-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103995246"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11356-018-2154-4", 
      "https://app.dimensions.ai/details/publication/pub.1103995246"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000364_0000000364/records_72868_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11356-018-2154-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11356-018-2154-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11356-018-2154-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11356-018-2154-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11356-018-2154-4'


 

This table displays all metadata directly associated to this object as RDF triples.

317 TRIPLES      21 PREDICATES      84 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11356-018-2154-4 schema:about N35abce41f89749849ade68e6666eb0cf
2 N4a9e9223b9304061b4b745527ef3c1ee
3 N622cfadeaf7140f7967a1c45fd5606a3
4 N75fee73322c34e3983972ab690c3a8e0
5 N775b9e87c6da42fb9f6e8e768f07d150
6 N7851d3af5bd148ff92eb2b6e1ffe4e71
7 Nd4b95f4ce5774aafa101496cacbd436d
8 Nf99725179abb43ac89c4cb825e3cec3d
9 anzsrc-for:05
10 anzsrc-for:0503
11 schema:author Ndbae5210ed8b4fc3b48c25ecb4b6a11f
12 schema:citation sg:pub.10.1007/s00442-003-1218-3
13 sg:pub.10.1007/s10311-012-0380-4
14 sg:pub.10.1007/s10668-005-1262-8
15 sg:pub.10.1007/s11368-013-0659-5
16 sg:pub.10.1007/s12237-007-9012-9
17 sg:pub.10.1023/a:1023999816690
18 https://doi.org/10.1002/(sici)1096-9837(199801)23:1<31::aid-esp816>3.0.co;2-z
19 https://doi.org/10.1002/9781118643525.ch3
20 https://doi.org/10.1002/hyp.10901
21 https://doi.org/10.1002/joc.1069
22 https://doi.org/10.1002/wcc.316
23 https://doi.org/10.1016/b978-0-08-100355-8.00005-9
24 https://doi.org/10.1016/j.agrformet.2014.04.005
25 https://doi.org/10.1016/j.apgeochem.2012.11.005
26 https://doi.org/10.1016/j.apradiso.2013.02.015
27 https://doi.org/10.1016/j.catena.2010.01.005
28 https://doi.org/10.1016/j.catena.2016.06.035
29 https://doi.org/10.1016/j.earscirev.2016.08.012
30 https://doi.org/10.1016/j.envpol.2008.01.015
31 https://doi.org/10.1016/j.geoderma.2005.03.007
32 https://doi.org/10.1016/j.geoderma.2010.06.013
33 https://doi.org/10.1016/j.geoderma.2013.11.001
34 https://doi.org/10.1016/j.geomorph.2011.10.036
35 https://doi.org/10.1016/j.geomorph.2013.04.010
36 https://doi.org/10.1016/j.jenvrad.2013.05.002
37 https://doi.org/10.1016/j.scitotenv.2005.02.011
38 https://doi.org/10.1016/j.scitotenv.2014.07.105
39 https://doi.org/10.1016/j.scitotenv.2015.05.003
40 https://doi.org/10.1016/j.scitotenv.2017.09.163
41 https://doi.org/10.1016/j.softx.2016.12.005
42 https://doi.org/10.1016/s0022-1694(02)00011-2
43 https://doi.org/10.1016/s0065-2113(10)07005-7
44 https://doi.org/10.1071/ea97144
45 https://doi.org/10.1071/sr9910049
46 https://doi.org/10.1080/05704928.2013.811081
47 https://doi.org/10.1111/j.1365-2389.2009.01121.x
48 https://doi.org/10.1111/j.1365-2389.2011.01420.x
49 https://doi.org/10.1306/74d706dc-2b21-11d7-8648000102c1865d
50 https://doi.org/10.1371/journal.pone.0009672
51 https://doi.org/10.2134/jeq2000.00472425002900050012x
52 https://doi.org/10.2134/jeq2006.0008
53 https://doi.org/10.2134/jeq2010.0169
54 https://doi.org/10.2136/sssaj2000.643962x
55 https://doi.org/10.2136/sssaj2006.0030
56 https://doi.org/10.2136/sssaj2014.11.0458
57 https://doi.org/10.3406/morfo.1996.877
58 https://doi.org/10.5194/bg-10-2897-2013
59 schema:datePublished 2018-07
60 schema:datePublishedReg 2018-07-01
61 schema:description Identification of hot spots of land degradation is strongly related with the selection of soil tracers for sediment pathways. This research proposes the complementary and integrated application of two analytical techniques to select the most suitable fingerprint tracers for identifying the main sources of sediments in an agricultural catchment located in Central Argentina with erosive loess soils. Diffuse reflectance Fourier transformed in the mid-infrared range (DRIFT-MIR) spectroscopy and energy-dispersive X-ray fluorescence (EDXRF) were used for a suitable fingerprint selection. For using DRIFT-MIR spectroscopy as fingerprinting technique, calibration through quantitative parameters is needed to link and correlate DRIFT-MIR spectra with soil tracers. EDXRF was used in this context for determining the concentrations of geochemical elements in soil samples. The selected tracers were confirmed using two artificial mixtures composed of known proportions of soil collected in different sites with distinctive soil uses. These fingerprint elements were used as parameters to build a predictive model with the whole set of DRIFT-MIR spectra. Fingerprint elements such as phosphorus, iron, calcium, barium, and titanium were identified for obtaining a suitable reconstruction of the source proportions in the artificial mixtures. Mid-infrared spectra produced successful prediction models (R<sup>2</sup> = 0.91) for Fe content and moderate useful prediction (R<sup>2</sup> = 0.72) for Ti content. For Ca, P, and Ba, the R<sup>2</sup> were 0.44, 0.58, and 0.59 respectively.
62 schema:genre research_article
63 schema:inLanguage en
64 schema:isAccessibleForFree false
65 schema:isPartOf N6e03546969884a49a23ad37b52f09e8c
66 Nb98b77c2dd14464490b5e042b963c053
67 sg:journal.1113424
68 schema:name Exploring innovative techniques for identifying geochemical elements as fingerprints of sediment sources in an agricultural catchment of Argentina affected by soil erosion
69 schema:pagination 20868-20879
70 schema:productId N0723cde6b06a4c19b6dac6a6400393db
71 N6b3f2f7416dc4e79acc69750f1612b92
72 Na508e0ee23ab440fbdde1e8df98f4283
73 Ndea1e93d9e834032b1d842cfe841f1cc
74 Ne1efd51533ec427d8f8834590df5047f
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103995246
76 https://doi.org/10.1007/s11356-018-2154-4
77 schema:sdDatePublished 2019-04-11T12:55
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N5af36264e33047e78cf506af5b5bdb21
80 schema:url https://link.springer.com/10.1007%2Fs11356-018-2154-4
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N04c1d0e1fca54f2eaa62a780fed3dc48 rdf:first sg:person.01005075560.33
85 rdf:rest Nd2a47e1f048e4c6f93e30771b9bcc2bc
86 N0723cde6b06a4c19b6dac6a6400393db schema:name dimensions_id
87 schema:value pub.1103995246
88 rdf:type schema:PropertyValue
89 N353d6abfbc4046f79a96594eb7895e51 schema:affiliation https://www.grid.ac/institutes/grid.8171.f
90 schema:familyName Domínguez-Quintero
91 schema:givenName Olgioly
92 rdf:type schema:Person
93 N35abce41f89749849ade68e6666eb0cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Calibration
95 rdf:type schema:DefinedTerm
96 N3616422f1cec465ba299aecaa98ab444 rdf:first sg:person.01274360755.04
97 rdf:rest N83cc1432ead64be2ae9f20b92d13474f
98 N4a9e9223b9304061b4b745527ef3c1ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Geologic Sediments
100 rdf:type schema:DefinedTerm
101 N5af36264e33047e78cf506af5b5bdb21 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N5d465fabf9ea475aaa714acfaed3bff5 rdf:first sg:person.015562111405.91
104 rdf:rest Nea40e2a8d2b249ccb80dd0af9b8ff44d
105 N622cfadeaf7140f7967a1c45fd5606a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Argentina
107 rdf:type schema:DefinedTerm
108 N6b3f2f7416dc4e79acc69750f1612b92 schema:name doi
109 schema:value 10.1007/s11356-018-2154-4
110 rdf:type schema:PropertyValue
111 N6e03546969884a49a23ad37b52f09e8c schema:issueNumber 21
112 rdf:type schema:PublicationIssue
113 N75fee73322c34e3983972ab690c3a8e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Agriculture
115 rdf:type schema:DefinedTerm
116 N775b9e87c6da42fb9f6e8e768f07d150 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Environmental Monitoring
118 rdf:type schema:DefinedTerm
119 N7851d3af5bd148ff92eb2b6e1ffe4e71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Soil Pollutants
121 rdf:type schema:DefinedTerm
122 N83cc1432ead64be2ae9f20b92d13474f rdf:first sg:person.01113764733.21
123 rdf:rest Ne47f73415f7e4ae3b620517111a86a37
124 N9d87c3440fad496397d0f2033ee9692c rdf:first sg:person.01037123663.54
125 rdf:rest rdf:nil
126 Na508e0ee23ab440fbdde1e8df98f4283 schema:name readcube_id
127 schema:value 27bdba33b95d07e502c5ba802df688ddf36a48c8d7114b6a80807e65a5b1f781
128 rdf:type schema:PropertyValue
129 Nb98b77c2dd14464490b5e042b963c053 schema:volumeNumber 25
130 rdf:type schema:PublicationVolume
131 Nd2a47e1f048e4c6f93e30771b9bcc2bc rdf:first sg:person.015776060754.90
132 rdf:rest N5d465fabf9ea475aaa714acfaed3bff5
133 Nd4b95f4ce5774aafa101496cacbd436d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Soil
135 rdf:type schema:DefinedTerm
136 Ndbae5210ed8b4fc3b48c25ecb4b6a11f rdf:first sg:person.07445210540.22
137 rdf:rest N3616422f1cec465ba299aecaa98ab444
138 Ndea1e93d9e834032b1d842cfe841f1cc schema:name nlm_unique_id
139 schema:value 9441769
140 rdf:type schema:PropertyValue
141 Ne1efd51533ec427d8f8834590df5047f schema:name pubmed_id
142 schema:value 29766420
143 rdf:type schema:PropertyValue
144 Ne47f73415f7e4ae3b620517111a86a37 rdf:first N353d6abfbc4046f79a96594eb7895e51
145 rdf:rest N04c1d0e1fca54f2eaa62a780fed3dc48
146 Nea40e2a8d2b249ccb80dd0af9b8ff44d rdf:first sg:person.0771010463.88
147 rdf:rest N9d87c3440fad496397d0f2033ee9692c
148 Nf99725179abb43ac89c4cb825e3cec3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Spectroscopy, Fourier Transform Infrared
150 rdf:type schema:DefinedTerm
151 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
152 schema:name Environmental Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
155 schema:name Soil Sciences
156 rdf:type schema:DefinedTerm
157 sg:journal.1113424 schema:issn 0944-1344
158 1614-7499
159 schema:name Environmental Science and Pollution Research
160 rdf:type schema:Periodical
161 sg:person.01005075560.33 schema:affiliation https://www.grid.ac/institutes/grid.411173.1
162 schema:familyName Pereira Cardoso
163 schema:givenName Renan
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005075560.33
165 rdf:type schema:Person
166 sg:person.01037123663.54 schema:affiliation https://www.grid.ac/institutes/grid.420221.7
167 schema:familyName Mabit
168 schema:givenName Lionel
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037123663.54
170 rdf:type schema:Person
171 sg:person.01113764733.21 schema:affiliation https://www.grid.ac/institutes/grid.412115.2
172 schema:familyName Velasco
173 schema:givenName Hugo
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113764733.21
175 rdf:type schema:Person
176 sg:person.01274360755.04 schema:affiliation https://www.grid.ac/institutes/grid.466844.c
177 schema:familyName de los Santos Villalobos
178 schema:givenName Sergio
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274360755.04
180 rdf:type schema:Person
181 sg:person.015562111405.91 schema:affiliation https://www.grid.ac/institutes/grid.420221.7
182 schema:familyName Diawara
183 schema:givenName Yacouba
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015562111405.91
185 rdf:type schema:Person
186 sg:person.015776060754.90 schema:affiliation https://www.grid.ac/institutes/grid.411173.1
187 schema:familyName Meigikos dos Anjos
188 schema:givenName Roberto
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015776060754.90
190 rdf:type schema:Person
191 sg:person.07445210540.22 schema:affiliation https://www.grid.ac/institutes/grid.412115.2
192 schema:familyName Torres Astorga
193 schema:givenName Romina
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445210540.22
195 rdf:type schema:Person
196 sg:person.0771010463.88 schema:affiliation https://www.grid.ac/institutes/grid.420221.7
197 schema:familyName Dercon
198 schema:givenName Gerd
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771010463.88
200 rdf:type schema:Person
201 sg:pub.10.1007/s00442-003-1218-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000535259
202 https://doi.org/10.1007/s00442-003-1218-3
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/s10311-012-0380-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014515868
205 https://doi.org/10.1007/s10311-012-0380-4
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s10668-005-1262-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051288311
208 https://doi.org/10.1007/s10668-005-1262-8
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s11368-013-0659-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042484138
211 https://doi.org/10.1007/s11368-013-0659-5
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s12237-007-9012-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033495074
214 https://doi.org/10.1007/s12237-007-9012-9
215 rdf:type schema:CreativeWork
216 sg:pub.10.1023/a:1023999816690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035718165
217 https://doi.org/10.1023/a:1023999816690
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1002/(sici)1096-9837(199801)23:1<31::aid-esp816>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1016247279
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/9781118643525.ch3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008885770
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1002/hyp.10901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053625871
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1002/joc.1069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053288142
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1002/wcc.316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025922132
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/b978-0-08-100355-8.00005-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092195111
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.agrformet.2014.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007814965
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.apgeochem.2012.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016784637
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.apradiso.2013.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052682632
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.catena.2010.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044767459
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.catena.2016.06.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018316142
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.earscirev.2016.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034311398
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.envpol.2008.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003112794
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.geoderma.2005.03.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013923957
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.geoderma.2010.06.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035283046
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.geoderma.2013.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020773892
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.geomorph.2011.10.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037604273
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.geomorph.2013.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022955564
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.jenvrad.2013.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011740498
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.scitotenv.2005.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024123754
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.scitotenv.2014.07.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004557926
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/j.scitotenv.2015.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050283968
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/j.scitotenv.2017.09.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092297002
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1016/j.softx.2016.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024368717
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/s0022-1694(02)00011-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051380508
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/s0065-2113(10)07005-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039557961
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1071/ea97144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042711638
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1071/sr9910049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051286875
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1080/05704928.2013.811081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012915463
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1111/j.1365-2389.2009.01121.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007904973
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1111/j.1365-2389.2011.01420.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023273943
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1306/74d706dc-2b21-11d7-8648000102c1865d schema:sameAs https://app.dimensions.ai/details/publication/pub.1064948017
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1371/journal.pone.0009672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023930225
284 rdf:type schema:CreativeWork
285 https://doi.org/10.2134/jeq2000.00472425002900050012x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069007108
286 rdf:type schema:CreativeWork
287 https://doi.org/10.2134/jeq2006.0008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069009222
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2134/jeq2010.0169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069010370
290 rdf:type schema:CreativeWork
291 https://doi.org/10.2136/sssaj2000.643962x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069049150
292 rdf:type schema:CreativeWork
293 https://doi.org/10.2136/sssaj2006.0030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069050844
294 rdf:type schema:CreativeWork
295 https://doi.org/10.2136/sssaj2014.11.0458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069052835
296 rdf:type schema:CreativeWork
297 https://doi.org/10.3406/morfo.1996.877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071298434
298 rdf:type schema:CreativeWork
299 https://doi.org/10.5194/bg-10-2897-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024547211
300 rdf:type schema:CreativeWork
301 https://www.grid.ac/institutes/grid.411173.1 schema:alternateName Fluminense Federal University
302 schema:name Laboratório de Radioecologia e Alterações Ambientais (LARA), Instituto de Física, Universidade Federal Fluminense, Av. Litoranea S/N, 24210-346, Niterói, Rio de Janeiro, Brazil
303 rdf:type schema:Organization
304 https://www.grid.ac/institutes/grid.412115.2 schema:alternateName National University of San Luis
305 schema:name Grupo de Estudios Ambientales, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis/Consejo Nacional de Investigaciones Científicas y Técnicas, San Luis, Argentina
306 rdf:type schema:Organization
307 https://www.grid.ac/institutes/grid.420221.7 schema:alternateName International Atomic Energy Agency
308 schema:name Nuclear Science and Instrumentation Laboratory (NSIL), Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Seibersdorf, Austria
309 Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria
310 U.S. Department of Energy, NBL Program Office, Argonne, IL, USA
311 rdf:type schema:Organization
312 https://www.grid.ac/institutes/grid.466844.c schema:alternateName Sonora Institute of Technology
313 schema:name CONACYT-Instituto Tecnológico de Sonora, Ciudad Obregón, Sonora, Mexico
314 rdf:type schema:Organization
315 https://www.grid.ac/institutes/grid.8171.f schema:alternateName Central University of Venezuela
316 schema:name Laboratorio de Investigación de Química Aplicada, Facultad de Ingeniería, Universidad Central de Venezuela, Caracas, Venezuela
317 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...