FSL New Zealand Soil Classification

The soil fundamental data layers (FDLs) contain spatial information for 16 key attributes, each of which is measurable (i.e. is given a numeric value rather than being assigned to a descriptive class or category) and is recorded in appropriate units of measure. Since attributes have measurable values, FDLs are particularly useful in computer modelling and have enabled researchers and resource management decision-makers to make the most of rapid developments in GIS technology. Key soil attributes were selected through a consultation process with stakeholders, and generally fall into three groups: soil fertility/toxicity, soil physical properties (particularly those related to soil moisture), and topography/climate (T). Parameters include slope, potential rooting depth, topsoil gravel content, proportion of rock outcrop, pH, salinity, cation exchange capacity, total carbon, phosphorus retention, flood interval, soil temperature, total profile available water, profile readily available water, drainage, and macropores (shallow and deep).

Regional soil databases were the key to generating FDLs. New Zealand was subdivided into several geographic regions and soil scientists were allocated a region for which they developed a ‘regional legend’, i.e. database. Regional data were correlated using the New Zealand Soil Classification (NZSC), referenced to the National Soils Database (NSD) and other relevant data sources, and then linked to the soil polygons in the New Zealand Land Resource Inventory (NZLRI). This layer holds the NZSC data upon which the remaining FSLs were based.

Data and Resources

Additional Info

Field Value
Theme
Author Landcare Research
Maintainer Landcare Research
Maintainer Email Landcare Research
Source https://lris.scinfo.org.nz/layer/48079-fsl-new-zealand-soil-classification/
Source Created 2010-05-26T04:18:11.020352Z
Source Modified 2018-01-22T22:05:54.901688Z
Language English
Spatial
Source Identifier https://lris.scinfo.org.nz/layer/48079-fsl-new-zealand-soil-classification/
Dataset metadata created 11 April 2018, last updated 11 April 2018