<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230417</CreaDate>
<CreaTime>12392000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>EcosystemMapping</resTitle>
</idCitation>
<idAbs>Accompanies A potential Ecosystem map of the Taranaki Region, Author(s): Nicholas Singers for Nicholas Singers Ecological Solutions Limited and Colin Lawrence, Serpentine Mapping LtdDate: April 2016See Frodo # 1670648.The ecosystem classification used to map potential ecosystems of the Bay of Plenty Region was developed by the Department of Conservation, as a tool for prioritising ecosystem management (Singers &amp; Rogers 2014). This classification is a synthesis that amalgamates previous classifications and ecological studies aligned to an abiotic framework. It describes a full range of ecosystem types at a variety of scales in a natural or potential state as they potentially existed if people arrived today in New Zealand. Also, threat categories based on work done by John Leathwick.</idAbs>
<searchKeys>
<keyword>potential</keyword>
<keyword>ecosystem</keyword>
<keyword>Singers</keyword>
<keyword>threat</keyword>
<keyword>category</keyword>
<keyword>Leathwick</keyword>
</searchKeys>
<idPurp>Ecosystem type as they potentially existed if people first arrived today; and the threat categories for the potential ecosystems.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
