Data from: Antibiotic legacies shape the temperature response of soil microbial communities
Data files
Jan 08, 2026 version files 188.15 KB
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README.md
1.46 KB
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Wepking_et_al_2024_STARSII.xlsx
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Abstract
Soil microbial communities are vulnerable to global change factors and land management decisions; these factors can therefore affect microbially-mediated ecosystem functions. Increasingly, multiple stressors are considered in investigations of ecological response to disturbances. Here, we investigate how historical exposure to antibiotics affects the soil microbial response to a subsequent temperature change. In-situ antibiotic exposure initially increased soil respiration; however, this effect diminished over time. A subsequent incubation experiment showed that historical antibiotic exposure caused an acclimation-like response to increasing temperature. This response was likely driven by a differential response in the microbial community of antibiotic-exposed soils. Microbial communities exposed to antibiotics tended to be dominated by slower-growing, oligotrophic taxa at higher temperatures. Therefore, historical exposure to one stressor is likely to influence the microbial community to subsequent stressors. To predict the response of soils to future stress, particularly increasing soil temperatures, historical context is necessary.
https://doi.org/10.5061/dryad.dncjsxm7t.
This dataset stems from a multi-year field experiment and subsequent incubation experiment with experimentally manipulated soils.
Description of the data and file structure
Data (Wepking_et_al_2024_STARSII.xlsx) are structured by incubation microcosm and subsequent soil respiration measurements that took place over approximately two months. Integrals of respiration measurements were subsequently calculated to estimate the total amount of carbon respired over the course of the incubation experiment. Some individual respiration measurements were absent; as a result, those time points were omitted from integration. Null = missing measurement at that time point.
ID – Sample identifier (e.g., 1-A, 2-A). Each row is one experimental unit.
Temp – Temperature value used in the experiment (numeric, e.g., 15).
TempC – Temperature condition label (e.g., C15 = 15 °C).
Treatment – Treatment applied to the sample
(e.g., NMC, Con (control), Ceph, Pir, RawCeph, RawPir).
Block – Experimental block (e.g., B1, B2), used to control variability.
TechRep – Technical replicate number within a block.
AUC (Area Under the Curve) for respective days
SAT (Sequential Accumulated Total) metrics for the respective day
SIR measured before/after treatment/event