+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Multivariate conditional stochastic simulation of soil heterotrophic respiration at plot scale

Multivariate conditional stochastic simulation of soil heterotrophic respiration at plot scale

Geoderma 160.1

Soil heterotrophic respiration fluxes at plot scale exhibit substantial spatial and temporal variability. Within this study secondary information was used to spatially predict heterotrophic respiration. Chamber-based measurements of heterotrophic respiration fluxes were repeated for 15 measurement campaigns within a bare 13 X 14m2 soil plot. Soil water contents and temperatures were measured simultaneously with the same spatial and temporal resolution. Further, we used measurements of soil organic carbon content and apparent electrical conductivity as well as the prior measurement of the target variable. The previous variables were used as co-variates in a stepwise multiple linear regression analysis to spatially predict bare soil respiration. In particular the prior measurement of the target variable, the soil water content and the apparent electrical conductivity, showed a certain, even though limited, predictive power. In the first step we applied external drift kriging and regression kriging to determine the improvement of using co-variates in an estimation procedure in comparison to ordinary kriging. The improvement using co-variates ranged between 40 and 1% for a single measurement campaign. The difference in improving the prediction of respiration fluxes between external drift kriging and regression kriging was marginal. In a second step we applied sequential Gaussian simulations conditioned with external drift kriging to generate more realistic spatial patterns of heterotrophic respiration at plot scale. Compared to the estimation approaches the conditional stochastic simulations revealed a significantly improved reproduction of the probability density function and the semivariogram of the original point data.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 037110896

Download citation: RISBibTeXText

DOI: 10.1016/j.geoderma.2009.11.018

Related references

Catchment scale soil moisture prediction through conditional stochastic simulation. Geophysical Research Abstracts 2(2000, 2000

Estimating heterotrophic and autotrophic soil respiration using small-area trenched plot technique: Theory and practice. Agricultural and Forest Meteorology 140(1-4): 193-202, 2006

Stochastic modeling of groundwater flow by unconditional and conditional probabilities; 1, Conditional simulation and the direct problem. Water Resources Research 18(4): 813-833, 1982

Characterization and understanding of bare soil respiration spatial variability at plot scale. Vadose Zone Journal 8.3, 2009

Analyzing spatiotemporal variability of heterotrophic soil respiration at the field scale using orthogonal functions. Geoderma 181-182(none): 0-101, 2012

Simulation of Runoff Hydrograph on Soil Surfaces with Different Microtopography Using a Travel Time Method at the Plot Scale. Plos one 10(6): E0130794, 2015

Plot-scale spatial patterns of soil water content, pH, substrate-induced respiration and N mineralization in a temperate coniferous forest. Geoderma 93(3-4): 207-223, 1999

Seasonal variations in soil respiration, heterotrophic respiration and autotrophic respiration of a wheat and maize rotation cropland in the North China Plain. Agricultural and Forest Meteorology 180: 34-43, 2013

Soil respiration under climate warming: differential response of heterotrophic and autotrophic respiration. Global Change Biology 20(10): 3229-3237, 2014

Heterotrophic respiration causes seasonal hysteresis in soil respiration in a warm-temperate forest. Journal of Forest Research 17(3): 296-304, 2012

Is tree root respiration more sensitive than heterotrophic respiration to changes in soil temperature?. New Phytologist 188(1): 9, 2010

Root and rhizomicrobial respiration: a review of approaches to estimate respiration by autotrophic and heterotrophic organisms in soil. Journal of Plant Nutrition and Soil Science 168(4): 503-520, 2005

Conditional flow simulation: a stochastic forecast model. Water resources research 17(3): 595-601, 1981

Conditional curvilinear stochastic simulation using pixel-based algorithms. Mathematical Geology 28(7): 937-949, 1996

Stochastic simulation of microseisms using theory of conditional random fields. Pure and Applied Geophysics 151(1): 81-99, 1998