Spatial autocorrelation of soil CO2 fluxes on reclaimed mine land

2015 ◽  
Vol 73 (12) ◽  
pp. 8287-8297 ◽  
Author(s):  
Moagabo Mathiba ◽  
Kwame Awuah-Offei
1999 ◽  
Vol 94 (3-4) ◽  
pp. 171-188 ◽  
Author(s):  
B.E. Law ◽  
D.D. Baldocchi ◽  
P.M. Anthoni

Chemosphere ◽  
2002 ◽  
Vol 47 (8) ◽  
pp. 837-844 ◽  
Author(s):  
M.L Sánchez ◽  
M.I Ozores ◽  
R Colle ◽  
M.J López ◽  
B De Torre ◽  
...  

2011 ◽  
Vol 8 (5) ◽  
pp. 9087-9123 ◽  
Author(s):  
S. P. P. Grover ◽  
S. J. Livesley ◽  
L. B. Hutley ◽  
H. Jamali ◽  
B. Fest ◽  
...  

Abstract. Savanna ecosystems are subject to accelerating land use change as human demand for food and forest products increases. Land use change has been shown to both increase and decrease greenhouse gas fluxes from savannas and considerable uncertainty exists about the non-CO2 fluxes from the soil. We measured methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) over a complete wet-dry seasonal cycle at three replicated sites of each of three land uses: savanna, young pasture and old pasture (converted from savanna 5–7 and 25–30 yr ago, respectively) in the Douglas Daly region of northern Australia. The effect of break of season rains at the end of the dry season was investigated with two irrigation experiments. Land use change from savanna to pasture increased net greenhouse gas fluxes from the soil. Pasture sites were a weaker sink for CH4 than savanna sites and, under wet conditions, old pastures turned from being sinks to a significant source of CH4. Nitrous oxide emissions were generally very low, in the range of 0 to 5 μg N2O-N m−2 h−1, and under dry conditions soil uptake of N2O was apparent. Break of season rains produced a small, short lived pulse of N2O up to 20 μg N2O-N m−2 h−1, most evident in pasture soil. Annual cumulative soil CO2 fluxes increased after clearing, with savanna (14.6 t CO2-C ha−1 yr−1) having the lowest fluxes compared to old pasture (18.5 t CO2-C ha−1 yr−1) and young pasture (20.0 t CO2-C ha−1 yr−1). Clearing savanna increased soil-based greenhouse gas emissions from 53 to ~70 t CO2-equivalents, a 30% increase dominated by an increase in soil CO2 emissions and shift from soil CH4 sink to source. Seasonal variation was clearly driven by soil water content, supporting the emerging view that soil water content is a more important driver of soil gas fluxes than soil temperature in tropical ecosystems where temperature varies little among seasons.


Geosciences ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 233
Author(s):  
Simone D’Incecco ◽  
Piero Di Carlo ◽  
Eleonora Aruffo ◽  
Nikolaos Chatzisavvas ◽  
Ermioni Petraki ◽  
...  

This article reports fractal dimension analysis applied to soil CO2 fluxes measured in an Italian seismic area. The work was carried out with the use of a calibrated flux chamber unit. The fractal dimension (FD) from isotropic variograms was used as a method to understand related scale-dependent phenomena. The aim was to investigate the spatial variability of CO2 flux measurements in four directions (horizontal, vertical, 45° and 135° directions) related to different distances between the measuring points and from a fault. High fractal dimension values were found (2.5 ≤ FD ≤ 3.0). These imply strong anti-persistent behavior near to and far from the fault. Lower fractal dimensions were addressed at longer distances from the fault.


Geoderma ◽  
2009 ◽  
Vol 150 (1-2) ◽  
pp. 32-37 ◽  
Author(s):  
Dominik Vodnik ◽  
Urška Videmšek ◽  
Marina Pintar ◽  
Irena Maček ◽  
Hardy Pfanz
Keyword(s):  
Soil Co2 ◽  

2015 ◽  
Vol 12 (19) ◽  
pp. 5831-5852 ◽  
Author(s):  
E. Hassler ◽  
M. D. Corre ◽  
A. Tjoa ◽  
M. Damris ◽  
S. R. Utami ◽  
...  

Abstract. Expansion of palm oil and rubber production, for which global demand is increasing, causes rapid deforestation in Sumatra, Indonesia, and is expected to continue in the next decades. Our study aimed to (1) quantify changes in soil CO2 and CH4 fluxes with land-use change and (2) determine their controlling factors. In Jambi Province, Sumatra, we selected two landscapes on heavily weathered soils that differ mainly in texture: loam and clay Acrisol soils. In each landscape, we investigated the reference land-use types (forest and secondary forest with regenerating rubber) and the converted land-use types (rubber, 7–17 years old, and oil palm plantations, 9–16 years old). We measured soil CO2 and CH4 fluxes monthly from December 2012 to December 2013. Annual soil CO2 fluxes from the reference land-use types were correlated with soil fertility: low extractable phosphorus (P) coincided with high annual CO2 fluxes from the loam Acrisol soil that had lower fertility than the clay Acrisol soil (P < 0.05). Soil CO2 fluxes from the oil palm (107.2 to 115.7 mg C m−2 h−1) decreased compared to the other land-use types (between 178.7 and 195.9 mg C m−2 h−1; P < 0.01). Across land-use types, annual CO2 fluxes were positively correlated with soil organic carbon (C) and negatively correlated with 15N signatures, extractable P and base saturation. This suggests that the reduced soil CO2 fluxes from oil palm were the result of strongly decomposed soil organic matter and reduced soil C stocks due to reduced litter input as well as being due to a possible reduction in C allocation to roots due to improved soil fertility from liming and P fertilization in these plantations. Soil CH4 uptake in the reference land-use types was negatively correlated with net nitrogen (N) mineralization and soil mineral N, suggesting N limitation of CH4 uptake, and positively correlated with exchangeable aluminum (Al), indicating a decrease in methanotrophic activity at high Al saturation. Reduction in soil CH4 uptake in the converted land-use types (ranging from −3.0 to −14.9 μg C m−2 h−1) compared to the reference land-use types (ranging from −20.8 to −40.3 μg C m−2 h−1; P < 0.01) was due to a decrease in soil N availability in the converted land-use types. Our study shows for the first time that differences in soil fertility control the soil–atmosphere exchange of CO2 and CH4 in a tropical landscape, a mechanism that we were able to detect by conducting this study on the landscape scale.


2021 ◽  
pp. 20-31
Author(s):  
M. A. Bovsun ◽  
S. Castaldi ◽  
O. V. Nesterova ◽  
V. A. Semal ◽  
N. A. Sakara ◽  
...  

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