Alpine plant phenology monitoring with snowmelt timing

Knowledge graph centered on Alpine plant phenology monitoring with snowmelt timing with 76 nodes and 202 connections. Top connected: Effects of climate change on phenology, frost dama, Hummingbird, Bombus, Ligusticum porteri, Delphinium.

Method synopsis

Weekly monitoring of alpine plant flowering phenology coupled with snowmelt date recording to assess environmental effects on plant reproductive timing. Focuses on species-specific responses to fine-scale environmental heterogeneity.

Synthesized from method descriptions across 17 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 — Linking microenvironment modification to species interactions and demography in an alpine plant community (2023), Oikos. The protocol was originally introduced by Barriers to Gene Flow across a Light Gradient in Cardamine cordifolia. (2015). Implementations in other papers (listed below) may differ.

1. Establish permanent study plots
   Set up fifty 2×2 m permanent plots organized in a 5×10 array on a southeast-oriented ridgeline with ~20° slope. Plots marked with white string boundaries visible in photographs.
   Quantities: 50 plots, each 2×2 m, arranged in 5×10 arrayDuration: Initial setup in 2014, maintained through 2019Conditions: Southeast-oriented ridgeline, ~20° slope, ~3540 m elevation
   Equipment: white string for plot boundaries
2. Conduct demographic census
   Track all individuals (>2300) of 18 species occurring on plots. Map plant locations using x-y coordinates and measure maximum length for each individual. Record survival, growth, and fecundity annually.
   Quantities: Over 2300 individuals of 18 species tracked annuallyDuration: Annual census from 2014 to 2019 (6 years)Conditions: During growing season (snow cover typically October to June)
   Equipment: measuring devices for plant dimensions
3. Calculate vegetative overlap
   Map each individual at site using x-y coordinates. Model each plant as circular polygon with diameter equal to maximum length measured in field. Calculate cumulative overlap for each instance of overlap between individuals using polygon geometry. Determine inter- and intraspecific percent overlap as proxies for microenvironment modification.

Typical Equipment

• field notebooks
• GPS units
• phenology recording sheets

Output Measurements

• first flowering date
• peak flowering date
• peak flowering amount
• flowering duration
• snowmelt date

Papers Using This Protocol (17)

Species Studied With This Protocol