A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands

A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands Ballabio C., Fava F., Rosenmund A. A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands (2012) Geoderma, 187-188 , pp. 102-116. The influence of organisms on pedogenesis is acknowledged in the scorpan model; however organisms, plants in particular, might be seen in a different light within the scorpan model. In fact, in minimally managed terrestrial ecosystems, biota coexists with soil as part of a feedback system, in which the biota not only influences soil development, but is also in turn influenced by it. This means that in natural environments a particular soil is usually associated with a typical combination of plant species which thrive in the biotope defined by the soil physical and chemical properties. Changes in soil features will favor certain species over others, thus modifying the structure of the resident plant communities. This makes plant communities very effective proxies of soil properties, effectively acting as widespread biological sensors. In this paper we will show how plant communities can be utilized to improve the quality of digital soil maps, effectively reducing the amount of field work needed by soil surveys, through a combination of relatively swifter and cheaper vegetation surveys and remote sensing data. Access the paper: http://www.sciencedirect.com/science/article/pii/S0016706112001656 Last Update: 02/09/2013