REGIONAL SOIL ORGANIC-CARBON STORAGE ESTIMATES FOR WESTERN OREGON BY MULTIPLE APPROACHES

Citation
Ps. Homann et al., REGIONAL SOIL ORGANIC-CARBON STORAGE ESTIMATES FOR WESTERN OREGON BY MULTIPLE APPROACHES, Soil Science Society of America journal, 62(3), 1998, pp. 789-796
Citations number
39
Categorie Soggetti
Agriculture Soil Science
ISSN journal
03615995
Volume
62
Issue
3
Year of publication
1998
Pages
789 - 796
Database
ISI
SICI code
0361-5995(1998)62:3<789:RSOSEF>2.0.ZU;2-X
Abstract
Soil is an important factor in regional and global C budgets because i t serves as a reservoir of large amounts of organic C. In our study, w e compared six approaches of estimating soil organic C (kg C m(-2), no t including the surface organic horizon, hereafter called soil C) and its spatial pattern in the mountainous, largely forested western Orego n region. The approaches were (i) USDA NRCS pedons, (ii) other pedons, (iii) the State Soil Geographic Data Base (STATSGO), (iv) the United Nations Soil Map of the World, (v) the National Soil Geographic Data B ase (NATSGO), and (vi) an ecosystem-complex map. Agreement between app roaches varied with scale. For the entire region (10(5) km(2)), estima tes of average soil C varied from 4.3 to 6.8 kg C m-2 for the 0- to 20 -cm depth and from 12.1 to 16.9 kg C m(-2) for the 0 to 100-cm depth. At the subregional scale (approximate to 10(4) km(2)), all approaches indicated higher soil C in the coastal area than in the inland souther n area, but relative amounts in other subregions varied among the appr oaches. At the subsubregional scale (approximate to 10(3) km(2)), soil C was consistent between individual STATSGO map units and NRCS pedons within those map units, hut there was less agreement with other pedon s. Rigorous testing of soil-C maps requires data from pedons that are located by objective criteria, in contrast to the subjectively located pedons now available. The uncertainty associated with regional soil-C amounts and spatial patterns should be considered when soil-C maps ar e integrated into regional or global assessments of physical and bioti c processes because simulation-model outputs may be sensitive to soil C.