Data from: Will trees or grasses profit from changing rainfall regimes in savannas?
Data files
Jan 17, 2024 version files 1.56 MB
Abstract
• Increasing rainfall variability is widely expected under future climate change scenar- ios. How will savanna trees and grasses be affected by growing season dry spells and altered seasonality and how tightly coupled are tree-grass phenologies with rainfall?
• We measured tree and grass responses to growing season dry spells and dry season rainfall. We also tested if the phenologies of 17 deciduous woody species and the Soil Adjusted Vegetation Index of grasses were related to rainfall between 2019 and 2023.
• Tree and grass growth was significantly reduced during growing season dry spells. Tree growth was strongly related to growing season soil water potentials and limited to the wet season. Grasses can rapidly recover after growing season dry spells and grass evapotranspiration was significantly related to soil water potentials in both the wet and dry seasons. Tree leaf flushing commenced before the rainfall onset date with little subsequent leaf flushing. Grasses grew when moisture became available regardless of season.
• Our findings suggest that increased dry spell length and frequency in the growing season may slow down tree growth in some savannas, which together with longer growing seasons may allow grasses an advantage over C3 plants that are advantaged by rising CO2 levels.
README: Will trees or grasses profit from changing rainfall regimes in savannas?
https://doi.org/10.5061/dryad.dbrv15f7w
These datasets accompany the article published in New Phytologist with the same title.
1) Tree growth rates (Trees_growth.csv)
2) Grass evapotranspiration rates (Grass_evapotranspiration.csv)
3) Historical rainfall data (Skukuza_rainfall.csv)
4) Daily soil water potentials (Daily_soil_kpa.csv)
Give a brief summary of dataset contents, contextualized in experimental procedures and results.
Description of the data and file structure
1) Tree growth rates
Date = date
Species = species
rep = species replicate
diam_increase = increase in stem diameter
rain.year = rainfall year including the 2021 and 2022 rainfall years
2) Grass evapotranspiration rates
Date = date
lysname = Lysimeter ID
ET0 = daily evapotranspiration
rain.year = rainfall year including the 2021 and 2022 rainfall years (g.m*−2.day−*1)
3) Historical rainfall data (Skukuza_rainfall.csv) has the following columns:
Station = weather station
Date = date
Year = year
Month = month
Day = day
mm = rainfall amount
rain.year = rainfall year
DORY = day of rainfall year
4) Daily soil water potentials (Daily_soil_kpa.csv)
date = date
kpa_10 = soil water potential at 10 cm
kpa_20 = soil water potential at 20 cm
kpa_30 = soil water potential at 30 cm