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Temperature Sensitivity of Topsoil Organic Matter Decomposition Does Not Depend on Vegetation Types in Mountains
Rising air temperatures caused by global warming affects microbial decomposition rate of soil organic matter (SOM). The temperature sensitivity of SOM decomposition (Q(10)) may depend on SOM quality determined by vegetation type. In this study, we selected a long transect (3.6 km) across the five ec...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611105/ https://www.ncbi.nlm.nih.gov/pubmed/36297788 http://dx.doi.org/10.3390/plants11202765 |
Sumario: | Rising air temperatures caused by global warming affects microbial decomposition rate of soil organic matter (SOM). The temperature sensitivity of SOM decomposition (Q(10)) may depend on SOM quality determined by vegetation type. In this study, we selected a long transect (3.6 km) across the five ecosystems and short transects (0.1 km) from grazed and ungrazed meadows to forests in the Northwest Caucasus to consider different patterns in Q(10) changes at shift of the vegetation belts. It is hypothesized that Q(10) will increase along altitudinal gradient in line with recalcitrance of SOM according to kinetics-based theory. The indicators of SOM quality (BR:C, respiration per unit of soil C; MBC:C, ratio of microbial biomass carbon to soil carbon; soil C:N ratio) were used for checking the hypothesis. It was shown that Q(10) did not differ across vegetation types within long and short transects, regardless differences in projective cover (14–99%) and vegetation species richness (6–12 units per plot). However, Q(10) value differed between the long and short transects by almost two times (on average 2.4 vs. 1.4). Such a difference was explained by environmental characteristics linked with terrain position (slope steepness, microclimate, and land forms). The Q(10) changes across studied slopes were driven by BR:C for meadows (R(2) = 0.64; negative relationship) and pH value for forests (R(2) = 0.80; positive relationship). Thus, proxy of SOM quality explained Q(10) variability only across mountain meadows, whereas for forests, soil acidity was the main driver of microbial activity. |
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