New Zealand Data - Page 10

The soil inventory survey of Wallace County, Southland was mapped at 1:50,000 scale and covers approximately 700,000 hectares of a total of 965,600 hectares. Within 6 physiographic regions, soils have been separated by differences in morphology, drainage and parent materials into 132 soil mapping units. Soils have been correlated to South Island soil sets and classification of soils for land use are provided in the attribute table.

This 1986 soil survey has been superceded in lowland areas by Topoclimate South (1998-2001) and S-map (2014) data.

The dataset contains polygons of soils of Opotiki District mapped at 1:15000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

This layer is a "dissolved" representation of the NZSC soil order for S-map previously available as a lookup table. Refer to document Smap Data Dictionary Dissolved Layers.pdf at lris.scinfo.org.nz/document/22129-smap-data-dictio...

The dataset contains polygons of soils of Kaingaroa Plateau, mapped at 1:100 000. This dataset is compiled from earlier reports by Pullar (1980), Vucetich et al (1960), and Vucetich and Wells (1978).
The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the soil drainageattribute for S-map previously available as a lookup table.It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).Soil drainage is a relatively simple classification of the soil profile that describes the likelihood of seasonal wetness. It is based on the occurrence within specific depths of redox segregation and low chroma colours indicative of waterlogging and reduction (Webb and Lilburne, 2011).Very poorly drainedPoorly drainedImperfectly drainedModerately well drainedWell drainedWebb TH, Lilburne LR 2011. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, Canterbury, New Zealand, Manaaki Whenua Press. 38 p.

New Zealand's potential forest composition was predicted from regressions relating the distributions of major canopy tree species to environment. Environmental variables, chosen for their correspondence to major tree physiological processes, included annual and seasonal temperature and solar radiation, soil and atmospheric water deficit, soil leaching, slope, and soil parent material and drainage. Environmental values were estimaged both for a large set of irregularly distributed plots describing forest composition, and points on a 1-km grid across New Zealand. Regressions were fitted to the ploy data species by species, with those for the four Nothofagus species also including terms to correct for the effects of their geographic disjunctions. Predictions of species abundance were then made for the grid data set, and the resulting matrix was classified to derive groups of similar composition. This data is expected to provide a context for both the assessment of the biodiversity value of surviving forest remnants and for the subsequent management and/or restoration of these sites.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research)3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralological characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. This layer contains best available data as at 2000 for total carbon (organic matter content) which is estimated as weighted averages for the upper part of the soil profile from 0-0.2 m depth, and expressed as a percentage.