PBC - Predicted Background Soil Concentrations, New Zealand


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28 Jun 2016

This dataset was last updated on LRIS Portal on 28 Jun 2016.

The Predicted Background Concentration (PBC) shapefile contains spatial information on the effective median, and 95th quantile estimates of the background concentration (mg/kg) of arsenic, cadmium, chromium, copper, lead, nickel and zinc across New Zealand. These background concentrations were developed for a geological unit classification, Chemical4, originating from GNS Science's QMAP 1:250 000 Geological Map of New Zealand GIS dataset (Heron 2014). Chemical4 is based on the QMAP ROCK_GROUP classification but further subdivides some on an age basis ie older sedimentary rocks from their Miocene and younger rock and sediment equivalents (Maui and Pakihi supergroups, Mortimer et al. 2014). The number of samples in each Chemical4 subgroup for which predictions are made is also provided. Predictions for Chemical4 subgroups with few underlying samples (N<30) are considered less reliable and for N<10 unreliable. These data are intended to provide an initial assessment of background soil concentrations at locations that are being assessed for use as clean-fills or managed fill or for the assessment of contaminated land.

Source: These background soil concentration predictions were developed from geostatistical analysis of trace element data from regional councils, national soils database and GNS Science identifying associations with geological parameters adapted from the GNS Science QMAP geological map dataset. The premise being that underlying geology is generally regarded as a major contributor to the geochemical signals in soils and surficial material.

Full details of the development of these data is provided in 'Envirolink Report (C09X1402) 2015.pdf'. See 'PBC_FieldsDescription.xlsx' for a description of the fields in the attribute table.

References: Heron DW (custodian) 2014. Geological map of New Zealand 1:250,000. GNS Science geological map 1. Lower Hutt, New Zealand, GNS Science.

Mortimer N, Rattenbury MS, King PR, Bland KJ, Barrell DJA, Bache F, Begg JG, Campbell HJ, Cox SC, Crampton JS, Edbrooke SW, Forsyth PJ, Johnston MR, Jongens R, Lee J, Leonard GS, Raine JI, Skinner DNB, Timm C, Townsend DB, Tulloch AJ, Turnbull IM, Turnbull RE 2014. High-level stratigraphic scheme for New Zealand rocks. New Zealand Journal of Geology and Geophysics 57: 402–419.

Layer ID 48470
Data type Vector polygon
Feature count 39371
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand Rabbit Proneness


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16 Jun 2021

This dataset was first added to LRIS Portal on 16 Jun 2021.

Rabbit numbers counted by pest destruction boards to measure the affect of control operations are used to assess the relationship between recorded elements of land resources (parent material, soils, vegetation, slope, erosion) and rabbit populations. The results of the study clearly confirm the often observed concentration of high rabbit populations on the brown-grey earth soils and a corresponding reduction in rabbit numbers with increased rainfall and pasture improvement.

This analysis uses the NZLRI/FSL soils data to assign rabbit proneness.
This analysis precedes the illegal release of rabbit haemorragic disease (RHD) in 1997 and does not factor in any interactions between environment and RHD in terms of assigning rabbit proneness.

Layer ID 105591
Data type Vector polygon
Feature count 12642
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed