<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231024</CreaDate>
<CreaTime>13590200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>La Ley 5/2020 de Medidas Urgentes para la Declaración de Proyectos Prioritarios en Castilla - La Mancha, clasifica el territorio de la Comunidad Autónoma en función de los condicionantes ambientales a los que se puede ver sometido un proyecto por su ubicación, sin perjucio de los resultados de los procedimientos de evalución ambiental a que deba someterse cada proyecto:
- ZONAS APTAS: el territorio de la CCAA no incluido en las otras zonas, que cuenta con recursos naturales no sometidos a regulación específica ambiental y por lo tanto es apto para la absorción de proyectos empresariales o industriales.
- ZONAS POTENCIALMENTE APTAS PERO CON LIMITACIONES AMBIENTALES: zonas con recursos naturales de interés general para la protección de determinados valores naturales que deben considerarse aptas para la absorción de determinados proyectos con condicionantes ambientales.
- ZONAS SOMETIDAS A REGULACIÓN ESPECÍFICA AMBIENTAL: zonas que albergan valores ambientales especialmente sensibles y que se corresponden con áreas declaradas como protegidas por la aplicación de la normativa vigente.</idAbs>
<searchKeys>
<keyword>CASTILLA - LA MANCHA. MEDIO NATURAL. PROYECTOS.</keyword>
</searchKeys>
<idPurp>Clasificación del territorio de Castilla - La Mancha según sus condicionantes ambientales, para la declaración de proyectos prioritarios según la Ley 5/2020.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Proyectos_fotovoltaica</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
