HOBO sensor environmental monitoring

Knowledge graph centered on HOBO sensor environmental monitoring with 76 nodes and 182 connections. Top connected: Subalpine meadow flowering phenology responses to , Hummingbird, Ipomopsis, Ligusticum porteri, Delphinium.

Method synopsis

Continuous collection of local weather data at 5-minute intervals throughout growing seasons to capture fine-scale environmental variation affecting disease dynamics.

Synthesized from method descriptions across 15 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — A multi-year case study highlighting the influence of hydrological conditions on epidemic dynamics in a natural plant pathosystem (2025), Oikos. The protocol was originally introduced by Alpine plant spatial clumping modifies leaf surface temperature (2025). Implementations in other papers (listed below) may differ.

1. Install weather monitoring stations
   High-resolution weather data was collected at each site, sampling in the corner of each site at 5 min intervals for the duration of each growing season, measuring temperature, relative humidity, dew point, leaf moisture, rainfall quantity, soil water content, solar radiation intensity, wind speed and wind direction
   Quantities: One weather station per site (4 total)Duration: Continuous 5-minute intervals throughout each growing seasonConditions: All weather conditions monitored
   Equipment: high-resolution weather stations
2. Process weather data
   The first and last fifteen minutes of weather data, in addition to aberrant data points resulting from infrequent equipment/software malfunctions, were removed from each site and year. Disease incidence data was collated from weekly epidemiological surveys. Weekly disease depletion rates were calculated using repeated temporal observations of focal plants in each plot
   Quantities: All weather data from 4 sites over 5 yearsDuration: Post-season data processingConditions: Laboratory/office conditions
   Equipment: data processing software

Typical Equipment

• high-resolution weather stations
• data processing software

Output Measurements

• temperature
• relative humidity
• dew point
• leaf moisture
• rainfall quantity
• soil water content
• solar radiation intensity
• wind speed
• wind direction

Papers Using This Protocol (15)

Species Studied With This Protocol