Biocrusts
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1295365 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Higher aridity and more extreme rainfall events in drylands are predicted under climate change. Yet it is unclear how changing precipitation regimes may affect nitrogen (N) cycling, especially in areas with extremely high aridity. Here we investigated soil N isotopic values (M-NM-415N) along a 3200 km aridity gradient and show a hump-shaped relationship between soil M-NM-415N and aridity index (AI) with a threshold at AI=0.32. Also, using a micro-array metageomics tool named GeoChip 5.0, we showed that Variations of nitrification and denitrification gene abundance along the gradient which provide further evidence for the existence of this threshold. Data support the hypothesis that the increase of gaseous N losses is higher than the increase of net plant N accumulation with increasing AI below AI=0.32, while the opposite is favoured above this threshold. Our results suggest the importance of N-cycling microbes in extremely dry areas and the different controlling factors of N cycling on the either side of the threshold.
2014-09-03 | E-MTAB-2722 | biostudies-arrayexpress
Project description:Biocrusts not only are considered ecosystem pioneers, but also have been recognized as a model system for soil ecosystem research. Furthermore, visually distinguishable phenotypic traits and stable physiological characteristics make biocrusts have significant advantages in meta-omics researches. So, we collected four types of biocrusts, applied metaproteome, to explore active microbial metabolism.
2021-08-02 | PXD027685 |
Project description:Unraveling the microbiome of the Great Wall of China
| PRJNA1068933 | ENA