… of soil respiration, which greatly exceeds emissions from human sources. However, rates of
soil respiration are highly variable in space, … to predict annual rates of soil respiration at high …

… to predict spatial patterns … spatial variability of annual Rh and Rh:Rs; (3) determine whether
the addition of recent Rs sites to the SRDB decreases the uncertainty of model predictions of …

… In recent decades, significant progress has been made in identifying the biophysical
factors that influence soil respiration (R s ) to predict soil CO 2 emission accurately in time and …

… In a second step (2), we aim to develop a parameterization for the spatial prediction of
Q10 values. As data on the assumed regulators of Q10 (ie, SOC degradability) are not widely …

… soil respiration to determine what measurable environmental variables can be used to predict
variation in soil respiration rates, spatially … , soil respiration rates were measured using soil …

… The data, statistical prediction models, and analytical approaches used in this study are
described here in sufficient detail to understand the analysis. Additional methodological details …

… Second, it is implausible to predict the N effects in some underrepresented areas due to
the scarcity of experimental observations. Thus, we excluded the spatial prediction of some …

… on soil respiration stretched beyond its direct effect via soil … to describe soil respiration as
dependent on soil temperature, soil … and heterotrophic respiration) and whether they predict a …

… considering local soil development and land use history for predicting soil Q 10 … predicting
global patterns of soil Q 10 with reasonable uncertainty at a much higher accuracy and spatial …

… and analyse its spatial pattern. This study is the first attempt to leverage >800 observations
in the soil respiration database to predict global R root :R S and analyse its spatial pattern. …