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This Farm Dairy Effluent (FDE) risk layer is designed to guide the selection of appropriate rates and depths for FDE application to land. Southland has been divided into four different risk zones according to a combination of LiDAR-derived slope, a high-risk-of-leaching soil layer and Landcare-developed Soil Maps (SMAP).
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>This farm dairy effluent (FDE) risk layer is designed to guide the selection of appropriate rates and depths for FDE application to land. Application rates and depths to accompany this layer are specified within material produced by Dairy NZ. This layer is based on regional soil mapping (SMAP – Maanaki Whenua) designed to be used at 1:50,000 scale. As such the risk classification may not provide sufficient resolution to identify specific property scale risks associated with FDE application. Consequently, property scale information should support the use of information derived from this risk layer.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>This risk classification differs from that contained in the Regional Water Plan (RWP - 2010) and previously used to guide FDE application in Southland. Changes are a result of the RWP being superseded and the adoption of Manaaki Whenua’s SMAP effluent risk categories. The SMAP classification does not identify any areas of Class A soils in Southland, the majority of what was previously identified as Class A is now identified as Class B by SMAP and consequently this layer. This has no impact on guidance around FDE application as the suggested rates and depths are the same for both the A and B classes (Dairy NZ). This layer does not adequately identify risks associated with artificial drainage or other soil bypass flow. Consequently, property specific information may be required to characterise and demonstrate mitigation of these risks.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>An additional change is to the extent of Class E soils. SMAP identifies only very small areas of Class E soils, we considered this was inadequate for identifying soils highly prone to nutrient leaching. We have used the SMAP nutrient leaching and soil depth classifications to identify “high risk” soils </SPAN><SPAN>within </SPAN><SPAN>Class D</SPAN><SPAN>. Consents recommend these areas of ‘high risk’ soil are treated the same as Class E for management purposes. </SPAN><SPAN>For this reason and to aid in simplicity of use, these Class D High risk areas have been redefined as Class E, to make the applicable restrictions more clear. </SPAN><SPAN>Should an application propose to apply effluent at greater depths than what is recommended for Class E, Consents will require the application to be supported with site specific scientific evidence with regard to risk and application depths.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>Class C has been identified in this layer using LiDAR data, land with slope greater than 7 degrees has been assigned to Class C. The slope layer has been smoothed to reduce overly-fine differentiations. As a consequence, the slope layer will not align exactly with the unsmoothed layer available elsewhere on Environment Southland and LINZ websites. The combination of LiDAR-slope layer and SMAP data was combined to create the final product. For more information and to download the fact sheets associated with the SMAP data, visit Landcare research: </SPAN><A href="https://smap.landcareresearch.co.nz:443/" STYLE="text-decoration:underline;"><SPAN>https://smap.landcareresearch.co.nz/</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV>
Environment Southland GIS, Science and Consents teams, Landcare research.
FDE Decision Tree 2024
Soil
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SMAP
Class
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FDE_DecisionTree_2024
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OBJECTID
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Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
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Feature geometry.
Esri
Coordinates defining the features.
FDE_Risk
FDE risk
String
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0
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FamilyCode
FamilyCode
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FDE_RiskDescription
FDE risk description
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