4.7 Article

Indirect partitioning of soil respiration in a series of evergreen forest ecosystems

Journal

PLANT AND SOIL
Volume 284, Issue 1-2, Pages 7-22

Publisher

SPRINGER
DOI: 10.1007/s11104-005-5109-8

Keywords

autotrophic respiration; evergreen forests; heterotrophic respiration; soil CO2 partitioning; soil respiration

Ask authors/readers for more resources

A simple estimation of heterotrophic respiration can be obtained analytically as the y-intercept of the linear regression between soil-surface CO2 efflux and root biomass. In the present study, a development of this indirect methodology is presented by taking into consideration both the temporal variation and the spatial heterogeneity of heterotrophic respiration. For this purpose, soil CO2 efflux, soil carbon content and main stand characteristics were estimated in seven evergreen forest ecosystems along an elevation gradient ranging from 250 to 1740 m. For each site and for each sampling date the measured soil CO2 efflux (R (S)) was predicted with the model R-S = a x S-C + b x R-D +/- epsilon, where S-C is soil carbon content per unit area to a depth of 30 cm and R (D) is the root density of the 2-5 mm root class. Regressions with statistically significant a and b coefficients allowed the indirect separation of the two components of soil CO2 efflux. Considering that the different sampling dates were characterized by different soil temperature, it was possible to investigate the temporal and thermal dependency of autotrophic and heterotrophic respiration. It was estimated that annual autotrophic respiration accounts for 16-58% of total soil CO2 efflux in the seven different evergreen ecosystems. In addition, our observations show a decrease of annual autotrophic respiration at increasing availability of soil nitrogen.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available