<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>17124500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Texas Natural Regions</resTitle>
</idCitation>
<searchKeys>
<keyword>Natural Regions</keyword>
<keyword>Ecoregions</keyword>
<keyword>Ecology</keyword>
<keyword>Natural Diversity</keyword>
<keyword>Conservation</keyword>
<keyword>Texas</keyword>
<keyword>TxGIO</keyword>
<keyword>TNRIS</keyword>
</searchKeys>
<idPurp>To provide generalized and authoritative geographic delineations of the major and minor natural regions of Texas for statewide mapping, analysis, and resource planning. The layer is suitable for:
Ecological and habitat assessments
Environmental planning and land management
Education, interpretation, and natural resource studies
Contextual base layers for TWDB applications</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The Texas Natural Regions feature class represents a statewide system of broad natural regions used as a common point of reference for scientists, educators, land managers, and the general public. The dataset identifies ecologically distinct areas based on geology, climate, soils, topography, flora, and fauna.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The framework originates from work by the LBJ School of Public Affairs (1978) and serves as a basis for identifying unique or significant natural resources and recommending areas for conservation and preservation. This dataset is managed within the TNRIS Basemap services, which provide authoritative statewide natural region boundaries. [feature.tnris.org]&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This layer supports regional analysis, environmental planning, statewide mapping, and various TWDB programs that rely on consistent ecological regionalization.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Texas Geographic Information Office (TxGIO)
Texas Water Development Board
LBJ School of Public Affairs (original conceptualization, 1978)</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This dataset is for informational purposes only and may not be suitable for legal, engineering, or surveying applications. It represents approximate relative boundaries and may not reflect on‑the‑ground conditions.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdDateSt Sync="TRUE">20260306</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
