Servicio de Información Comunitario sobre Investigación y Desarrollo - CORDIS

SOC change detection using large scale forest soil inventories

Soil organic carbon (SOC) data from typical large-scale soil inventories in 6 test countries were analysed. A quantitative approach to representativity analysis was developed in a test area. Additional sampling to optimise the representativity of the inventory was conducted. In another test area, a model was applied as an alternative approach to come to SOC baseline values. High-resolution soil C baseline maps were developed in 3 test countries and 1 test area using regression kriging, for the other two countries, regional estimates are based on geo-matching / class matching. Regional uncertainty estimates were conducted. The plot level error sources to the SOC estimates were reviewed in detail. An unbiased, representative regional SOC inventory was conducted as a model case to show the ability of existing inventories to detect SOC changes from repeated sampling.

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Federal Institute for Geosciences and Natural Resources
Stilleweg 2
30655 Hannover
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