Fungal and bacterial growth variation due to drought and nitrogen addition experimental treatments. Loma Ridge Experimental Project. 2010-2012

Dataset · Thu May 27 04:00:00 EDT 2021

DOI:https://doi.org/10.15485/1828589· OSTI ID:1828589

Allison, Steven ^[1]; Martiny, Jennifer B. H. ^[2]

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1. University of California Irvine; University of California Irvine
2. University of California Irvine

Terrestrial ecosystem models assume that microbial communities respond instantaneously, or are immediately resilient, to environmental change. Here we tested this assumption by quantifying the resilience of a leaf litter community to changes in precipitation or nitrogen availability. By manipulating composition within a global change experiment, we decoupled the legacies of abiotic parameters versus that of the microbial community itself. After one rainy season, more variation in fungal composition could be explained by the original microbial inoculum than the litterbag environment (18% versus 5.5% of total variation). This compositional legacy persisted for 3 years, when 6% of the variability in fungal composition was still explained by the microbial origin. In contrast, bacterial composition was generally more resilient than fungal composition. Microbial functioning (measured as decomposition rate) was not immediately resilient to the global change manipulations; decomposition depended on both the contemporary environment and rainfall the year prior. Finally, using metagenomic sequencing, we showed that changes in precipitation, but not nitrogen availability, altered the potential for bacterial carbohydrate degradation, suggesting why the functional consequences of the two experiments may have differed. Predictions of how terrestrial ecosystem processes respond to environmental change may thus be improved by considering the legacies of microbial communities. This data package includes ten csv files (five data files and their corresponding data dictionaries) and one file-level metadata excel file. Data files contains information about which plots were exposed to treatments related to drought and nitrogen, information about litter bags reciprocal transplants manipulation for water input and nitrogen, detail information about water addition, precipitation records, and litter variables collected. Data dictionary files include detail explanation for each column in the data files. The file-level metadata file describes each file mentioned above. All the analyses were done using the R software.

• Research Organization: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Can microbial functional traits predict the response and resilience of decomposition to global change?
• Sponsoring Organization: BSSD
• OSTI ID: 1828589
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA
ESS-DIVE File Level Metadata Reporting Format
Nitrogen addition
Precipitation
cellulose
community composition
fats
fungi
global change
grassland
hemicellulose
home field advantage
lignin
litter decomposition
microbes
nitrogen fertilization
precipitation
protein
reciprocal transplant
starch
sugars