The Soil Resource—Origin and Behavior. Ecological Studies 37

Jenny, Hans

doi:10.1097/00010694-198111000-00010

Cited by 147 publications

(176 citation statements)

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“…It seems, however, that a general relationship between the soil and auxiliary variables is not necessarily linear. From empirical plots drawn by Buol and Hole (1980), Jenny (1980) and Birkeland (1999, p. 142), it can bee seen that a general relationship between soil variables and the CLORPT factors is sigmoidal. This is often simply because many soil variables reach some physical minimum or maximum after a certain change of a CLORPT factor.…”

Section: Transformations Of Soil Variablesmentioning

confidence: 99%

A generic framework for spatial prediction of soil variables based on regression-kriging

Hengl¹,

Heuvelink

Stein³

2004

Geoderma

914

558

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A methodological framework for spatial prediction based on regression-kriging is described and compared with ordinary kriging and plain regression. The data are first transformed using logit transformation for target variables and factor analysis for continuous predictors (auxiliary maps). The target variables are then fitted using step-wise regression and residuals interpolated using kriging. A generic visualisation method is used to simultaneously display predictions and associated uncertainty. The framework was tested using 135 profile observations from the national survey in Croatia, divided into interpolation (100) and validation sets (35). Three target variables: organic matter, pH in topsoil and topsoil thickness were predicted from six relief parameters and nine soil mapping units. Prediction efficiency was evaluated using the mean error and root mean square error (RMSE) of prediction at validation points. The results show that the proposed framework improves efficiency of predictions. Moreover, it ensured normality of residuals and enforced prediction values to be within the physical range of a variable. For organic matter, it achieved lower relative RMSE than ordinary kriging (53.3% versus 66.5%). For topsoil thickness, it achieved a lower relative RMSE (66.5% versus 83.3%) and a lower bias than ordinary kriging (0.15 versus 0.69 cm). The prediction of pH in topsoil was difficult with all three methods. This framework can adopt both continuous and categorical soil variables in a semi-automated or automated manner. It opens a possibility to develop a bundle algorithm that can be implemented in a GIS to interpolate soil profile data from existing datasets. D

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Section: Transformations Of Soil Variablesmentioning

confidence: 99%

A generic framework for spatial prediction of soil variables based on regression-kriging

Hengl¹,

Heuvelink

Stein³

2004

Geoderma

914

558

View full text Add to dashboard Cite

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“…For example, soils developed on volcanic ash or rocks of basic pH often contain more organic carbon than those formed on granitic or acidic parent material (e.g., (Harradine and Jenny 1958;Marti and Badia 1995). Jenny (1980) found increasing C density with increasing loess in soils developed on postglacial till, a pattern he ascribed to finer texture ( Figure 5). …”

Section: Parent Materialsmentioning

confidence: 99%

Storage and Turnover of Organic Matter in Soil

Torn

Swanston

Castanha

et al. 2009

Biophysico‐Chemical Processes Involving Natural Nonliving Organic Matter in Environmental Systems

133

110

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“…Hawai'i ͉ remote-sensing ͉ topography ͉ erosion ͉ nutrient availability T errestrial biogeochemistry has been guided by the paradigm that as soils age they become increasingly weathered and nutrient-depleted (1)(2)(3)(4). For example, Wardle et al (5) evaluated six soil age sequences and determined that productivity and phosphorus (P) availability decline with age.…”

mentioning

confidence: 99%

Ground-based and remotely sensed nutrient availability across a tropical landscape

Porder

Asner

Vitousek

2005

Proc. Natl. Acad. Sci. U.S.A.

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Tropical soils often are assumed to be highly weathered and thus nutrient-depleted, but this prediction applies primarily to geomorphically stable surfaces. Topography complicates the assumption of nutrient depletion, because erosion can enhance the supply of nutrients to tropical ecosystems. Consequently, understanding nutrient availability across landscapes requires a spatially explicit assessment of the relative strength of depletion and enhancement. We document the relationship between foliar nutrients and topographic position across a 20-km 2 , 4-to 5-million-year-old eroded landscape in Kaua'i, Hawai'i, and use this relationship to build a bottom-up map of predicted nutrient availability across this landscape. Only Ϸ17% of the landscape is nutrient-poor, mostly on stable uplands; nutrient availability on slopes and valley bottoms is much higher, in some cases similar to the most fertile montane forests in the Hawaiian Islands. This pattern was corroborated by top-down remote sensing of area-integrated canopy phosphorus concentrations.Hawai'i ͉ remote-sensing ͉ topography ͉ erosion ͉ nutrient availability T errestrial biogeochemistry has been guided by the paradigm that as soils age they become increasingly weathered and nutrient-depleted (1-4). For example, Wardle et al. (5) evaluated six soil age sequences and determined that productivity and phosphorus (P) availability decline with age. However, to isolate the effects of aging, all six chronosequences were deliberately placed on relatively flat, geomorphically stable sites. In the only tropical sequence, in Hawai'i, plots were located on minimally eroded surfaces of Hawaiian shield volcanoes (6).Most landscapes, however, are comprised of both stable and eroding surfaces. While aging results in P depletion at the oldest (4.1 million years old) Hawaiian site, the surrounding landscape has experienced substantial erosion (7,8). Erosion rejuvenates the supply of nutrients by means of rock weathering on slopes, where the availability of rock-derived nutrients can approach that of younger, fertile, uneroded surfaces (9, 10). The resulting patchwork of stable and eroding surfaces is not unique to Hawai'i. A data set of 90-m cell digital elevation models (Shuttle Radar Topography Mission) shows that, globally, Ϸ10% of the tropics (Ϸ4.5 ϫ 10 6 km 2 ) have slopes Ͼ10°, with higher percentages in Central America, Asia, parts of South America, and some Pacific Islands (11).To understand the landscape-level interaction between depletion and rejuvenation, we applied two techniques, field-based determination of nutrient availability at different landscape positions and a newly developed technique for remote sensing of canopy nutrient content (12), to an upland forest landscape on the island of Kaua'i, Hawai'i.Kaua'i was formed Ϸ4-5 million years ago by basaltic eruptions emanating from the Hawaiian hotspot (7), and the landscape is underlain by a single bedrock type of a single age. After formation, Kaua'i was carried off the hotspot by movement of the Pacific Plate, a...

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The Soil Resource—Origin and Behavior. Ecological Studies 37

Cited by 147 publications

References 0 publications

A generic framework for spatial prediction of soil variables based on regression-kriging

A generic framework for spatial prediction of soil variables based on regression-kriging

Storage and Turnover of Organic Matter in Soil

Ground-based and remotely sensed nutrient availability across a tropical landscape

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