Data from: The ameliorating influence of neighbouring plants on aboveground microclimate depends on their number, size, and proximity
Data files
Oct 20, 2025 version files 121.37 MB
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AFEX_microclimate_HalfHourObs_revised.csv
121.36 MB
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README.md
1.28 KB
Abstract
Plants can have a facilitative effect on co-occurring neighbours by moderating microclimate conditions. In forested areas, vegetation can ameliorate macroclimate extremes relative to open areas, yet the neighbourhood characteristics that contribute to this buffering effect, particularly during early stand development, remain unclear. Here, we examined how the local neighbourhood affects aboveground temperature and relative humidity in the canopy layer of 76 mapped neighbourhood plots in an 8-year-old experimental forest in Tasmania, Australia. We assessed which aspects of the neighbourhood – species identity, density, summed basal area and spatial arrangement – best described the microclimatic conditions over a year-long period, and examined how seasonal and extreme climatic conditions influenced the strength of neighbourhood effects on microclimate. Microclimate conditions varied substantially across neighbourhoods, with a significant proportion explained by neighbourhood metrics (NMs). Daytime temperature and relative humidity (RH) were strongly associated with the community neighbourhood index (NI), which reflects the number, size and proximity of neighbouring trees rather than their species identity. Higher NI values – indicating more, larger or closer neighbours – led to cooler, moister microclimates, with the strongest effects observed in summer, where NI explained 57 % of the variation in temperature and 33% in RH. Although nighttime microclimate relationships with NMs were generally weaker, they were positively associated with the number and size of neighbours (summed basal area). The buffering effect of high NI and basal area neighbourhoods was most evident under extreme climatic conditions, with temperatures 3.5 °C cooler on the hottest recorded day and 1.2 °C warmer during the coldest. The amelioration in microclimatic conditions due to neighbouring plants has important implications for tree performance and forest regeneration, particularly in projected hotter and drier conditions.
Dataset DOI: 10.5061/dryad.cz8w9gjgm
Description of the data and file structure
Microclimate data (temperature and relative humidity) logged every 30 minutes in tree canopies in the middle of a mapped neighbourhood.
Files and variables
File: AFEX_microclimate_HalfHourObs_revised.csv
Description:
Variables
- Logger_ID:
- ID for logger - relates to Sample_code which is the identifier for the neighbourhood and the relevant neighbourhood metrics
- Year:
- Year of logged value
- Month:
- Month of logged value
- Day:
- Day of logged value
- Hour:
- Hour of logged value
- Minute:
- Minute of logged value
- Timestamp:
- Timestamp of logged value
- Temp:
- Temperature, degrees celsius
- RH:
- Relative humidity, %
- Sample_code:
- Identifier of neighbourhood, which relates to a separate published dataset with neighbourhood metrics (Dryad Digital Repository, https://doi.org/10.5061/dryad.tmpg4.f53b)
- Lat:
- Latitude of logger
- Long:
- Longitude of logger
- VPD:
- Vapour pressure deficit, kPa
- season:
- Season of logged value
- Plot:
- Treatment plot that the neighbourhood is located in
Code/software
Microsoft Excel
