Author:
Lynn I. H.,Lilburne L. R.,McIntosh P. D.
Abstract
We tested the accuracy of a soil–landscape model, previously developed
using a very low sampling density, for predicting soil properties in the dry
greywacke steeplands of the South Island, New Zealand. These deeply dissected
steeplands have relatively uniform geology and slope form, and in the model
development area, elevation and aspect largely controlled the soil pattern.
Predicted and sampled values of selected soil properties were compared at
randomly selected sites on the Benmore Range (the development area), the
adjacent Kirkliston Range, and a similar mountain range on Molesworth Station,
250 km distant. Considering the harsh environmental conditions, parent
material variability, management history, and vegetation change, none of which
were directly included in the model, model performance was adequate,
explaining up to 45% of the variability for 0–7.5 cm pH. The
model did not consistently perform better at any one test location, although
the mean absolute error increased with distance from the model establishment
area for 0–7.5 cm %C, pH, and A-horizon total C and total N.
Predictions were more accurate for properties based on one laboratory
measurement. Where several field measurements were used to derive values (e.g.
nutrient amounts in units of kg/ha), predicted values were less accurate
presumably because they incorporate more measurement error. We conclude that
at a broad management scale, the model adequately predicts the soil properties
on dominant landscape units. The model greatly improved prediction of soil
values in national inventories (e.g. A-horizon C) and also has application in
environmental risk prediction and economic development.
landscape, mountain, soil map, soil carbon.
Subject
Earth-Surface Processes,Soil Science,Environmental Science (miscellaneous)
Cited by
5 articles.
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