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Una metodología para la identificación y caracterización del paisaje en la cuenca alta del río Santo Domingo - Venezuela.

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Title: Una metodología para la identificación y caracterización del paisaje en la cuenca alta del río Santo Domingo - Venezuela.
Alternate Title: A Methodology for Identifying and Describing the Landscape in the Upper Santo Domingo River Basin in Venezuela.
Uma metodologia para a identificação e caracterização da paisagem na bacia alta do rio Santo Domingo - Venezuela.
Authors: Marquina Pérez, Argenis1 argenismarquinaperez2@gmail.com, Badia Perpinyà, Anna2 anna.badia@uab.cat, Romagosa Casals, Francesc2 francesc.romagosa@uab.cat, Mejía Barazarte, Joel3 jmejia@ula.ve
Source: Cuadernos de Geografia: Revista Colombiana de Geografía. jul-dic2024, Vol. 33 Issue 2, p396-421. 24p.
Database: Academic Search Ultimate
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  Data: Una metodología para la identificación y caracterización del paisaje en la cuenca alta del río Santo Domingo - Venezuela.
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  Data: A Methodology for Identifying and Describing the Landscape in the Upper Santo Domingo River Basin in Venezuela.<br />Uma metodologia para a identificação e caracterização da paisagem na bacia alta do rio Santo Domingo - Venezuela.
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  Data: <searchLink fieldCode="JN" term="%22Cuadernos+de+Geografia%3A+Revista+Colombiana+de+Geografía%22">Cuadernos de Geografia: Revista Colombiana de Geografía</searchLink>. jul-dic2024, Vol. 33 Issue 2, p396-421. 24p.
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RecordInfo BibRecord:
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        Value: 10.15446/rcdg.v33n2.104052
    Languages:
      – Code: spa
        Text: Spanish
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        PageCount: 24
        StartPage: 396
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      – TitleFull: Una metodología para la identificación y caracterización del paisaje en la cuenca alta del río Santo Domingo - Venezuela.
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            NameFull: Marquina Pérez, Argenis
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            NameFull: Badia Perpinyà, Anna
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            NameFull: Romagosa Casals, Francesc
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            NameFull: Mejía Barazarte, Joel
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          Dates:
            – D: 01
              M: 07
              Text: jul-dic2024
              Type: published
              Y: 2024
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              Value: 33
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