Data for "Soil texture and environmental conditions influence the biogeochemical responses of soils to drought and flooding"

• Main Authors: Kaizad Patel, Sarah Fansler, Tayte Campbell, Ben Bond-Lamberty, A. Peyton Smith, Taniya RoyChowdhury, Lee Ann McCue, Tamas Varga, Vanessa Bailey
• Format: Dataset
• Language: unknown
• Published: ESS-DIVE: Deep Insight for Earth Science Data 2021
• Subjects: drought; flood; water soluble organic carbon; FT-ICR-MS; respiration; EARTH SCIENCE > LAND SURFACE > SOILS; metagenome; metatranscriptome; EARTH SCIENCE > AGRICULTURE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL RESPIRATION; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON; Bonanza; Grays Bay; Poker Creek; Caribou-Poker Creek Research Watershed; permafrost; Alaska
• Online Access: https://search.dataone.org/view/ess-dive-2826132a0b47c93-20230406T140433349439

This dataset contains data used for the paper "Soil texture and environmental conditions influence the biogeochemical responses of soils to drought and flooding". The Related References field will be updated with a full citation when available. Climate change is intensifying the global water cycle, with increased frequency of drought and flood. Water is an important driver of soil carbon dynamics, and it is crucial to understand how moisture disturbances will affect carbon availability and fluxes in soils. Here we investigate the role of water in substrate-microbe connectivity and soil carbon cycling under extreme moisture conditions. We collected soils from Alaska, Florida, and Washington USA, and incubated them under Drought and Flood conditions. Drought had a stronger effect on soil respiration, pore-water carbon, and microbial community composition than flooding. Soil response was not consistent across sites, and was influenced by site-level pedological and environmental factors. Soil texture and porosity can influence microbial access to substrates through the pore network, driving the chemical response. Further, the microbial communities are adapted to the historic stress conditions at their sites and therefore show site-specific responses to drought and flood. This dataset contains a compressed (.zip) archive of the data and R scripts used for this manuscript. The dataset includes files in .csv and .txt format, which can be accessed and processed using MS Excel or R. This archive can also be accessed on GitHub at https://github.com/kaizadp/TES_3Soils_2021 (DOI: 10.5281/zenodo.4792655).