Sources of errors and uncertainties in the assessment of forest soil carbon stocks at different scales—review and recommendations
Vanguelova, E.I. ; Bonifacio, E. ; Vos, B. De; Hoosbeek, M.R. ; Berger, T.W. ; Vesterdal, L. ; Armolaitis, K. ; Celi, L. ; Dinca, L. ; Kjønaas, O.J. ; Pavlenda, P. ; Pumpanen, J. ; Püttsepp, ; Reidy, B. ; Simončič, P. ; Tobin, B. ; Zhiyanski, M. - \ 2016
Environmental Monitoring and Assessment 188 (2016)11. - ISSN 0167-6369 - 24 p.
Carbon stocks - European - Forest soils - Landscape - National - Plot - Sampling - Soil profile
Spatially explicit knowledge of recent and past soil organic carbon (SOC) stocks in forests will improve our understanding of the effect of human- and non-human-induced changes on forest C fluxes. For SOC accounting, a minimum detectable difference must be defined in order to adequately determine temporal changes and spatial differences in SOC. This requires sufficiently detailed data to predict SOC stocks at appropriate scales within the required accuracy so that only significant changes are accounted for. When designing sampling campaigns, taking into account factors influencing SOC spatial and temporal distribution (such as soil type, topography, climate and vegetation) are needed to optimise sampling depths and numbers of samples, thereby ensuring that samples accurately reflect the distribution of SOC at a site. Furthermore, the appropriate scales related to the research question need to be defined: profile, plot, forests, catchment, national or wider. Scaling up SOC stocks from point sample to landscape unit is challenging, and thus requires reliable baseline data. Knowledge of the associated uncertainties related to SOC measures at each particular scale and how to reduce them is crucial for assessing SOC stocks with the highest possible accuracy at each scale. This review identifies where potential sources of errors and uncertainties related to forest SOC stock estimation occur at five different scales—sample, profile, plot, landscape/regional and European. Recommendations are also provided on how to reduce forest SOC uncertainties and increase efficiency of SOC assessment at each scale.
Specific root length as an indicator of environmental change
Ostonen, I. ; Püttsepp, Ü. ; Biel, C. ; Alberton, O. ; Bakker, M.R. ; Löhmus, K. ; Majdi, H. ; Metcalfe, J.D. ; Olsthoorn, A.F.M. ; Pronk, A.A. ; Vanguelova, E. ; Weih, M. ; Brunner, I. - \ 2007
Plant Biosystems 141 (2007)3. - ISSN 1126-3504 - p. 426 - 442.
spruce picea-abies - elevated atmospheric co2 - pine pinus-sylvestris - soil solution chemistry - potential growth-rate - fine-root - norway spruce - l. karst. - nutrient availability - silver birch
Specific root length (SRL, m g-1) is probably the most frequently measured morphological parameter of fine roots. It is believed to characterize economic aspects of the root system and to be indicative of environmental changes. The main objectives of this paper were to review and summarize the published SRL data for different tree species throughout Europe and to assess SRL under varying environmental conditions. Meta-analysis was used to summarize the response of SRL to the following manipulated environmental conditions: fertilization, irrigation, elevated temperature, elevated CO2, Al-stress, reduced light, heavy metal stress and physical disturbance of soil. SRL was found to be strongly dependent on the fine root classes, i.e. on the ectomycorrhizal short roots (ECM), and on the roots