Quadrat Survey

Sample within defined square areas recording coverage and abundance.

Overview

Quadrat surveys use fixed-area plots to sample vegetation or other organisms. This method provides quantitative data about community composition and structure.

When to Use Quadrats

  • Vegetation community analysis
  • Ground cover estimation
  • Plant density studies
  • Grassland monitoring
  • Forest understory surveys

Advantages

  • Standardized sampling area
  • Reproducible methodology
  • Enables statistical comparison
  • IVI calculation support

Setting Up Quadrat Surveys

Plot Size Selection

Choose size based on target organisms:

TargetRecommended Size
Herbs/Grasses1m × 1m
Shrubs5m × 5m
Trees10m × 10m or larger
Mixed vegetationNested plots

Basic Configuration

FieldRequiredDescription
Plot SizeYesQuadrat dimensions
Number of PlotsYesReplication
Plot LayoutRecommendedRandom, systematic, stratified
Corner CoordinatesRecommendedGPS waypoints

Permanent Plots

FieldEco supports marking quadrats as permanent plots for long-term monitoring studies.

Creating Permanent Plots

  1. During setup, enable “Mark as Permanent Plot”
  2. Record 4-corner GPS coordinates
  3. Take site photos for relocation
  4. Add distinctive landmarks in notes

4-Corner GPS Recording

Permanent plots record precise GPS coordinates for all four corners:

CornerPosition
NWTop-left (start point)
NETop-right
SEBottom-right
SWBottom-left

This enables:

  • Precise relocation in future visits
  • Exact plot orientation
  • GIS mapping of plot boundaries
  • Area verification

Session-Based Revisiting

Permanent plots support multiple survey sessions:

  1. Create Session: Start a new visit to the plot
  2. Previous Data: View historical observations
  3. Add Observations: Record new data for this session
  4. Compare: Analyze changes over time

Relocation Tips

  • Use saved corner coordinates for navigation
  • Compare current view with site photos
  • Look for marked trees or permanent markers
  • Check landmarks noted in previous visits

Data Collection

Recording Species Data

For each species in the quadrat:

  1. Species - Identification
  2. Count - Number of individuals
  3. Coverage - Percent cover (0-100%)
  4. Density - Individuals per unit area
  5. Frequency - Presence/absence

Vegetation-Specific Fields

  • Life Form: Tree, Shrub, Herb, Grass
  • Height Class: Ground, Lower, Middle, Upper canopy
  • Phenology: Vegetative, Flowering, Fruiting
  • Health: Healthy, Stressed, Diseased

For Trees (10m+ plots)

  • DBH measurement
  • Height estimation
  • Crown class
  • Basal area

Taxa-Specific Data Collection

Select your taxa group during setup to get specialized data fields.

Plants (2 Methods)

VEGETATION_SURVEY Standard vegetation assessment:

  • Species identification
  • Count/density
  • Percent cover
  • Height class
  • Phenological state
  • Life form (tree, shrub, herb, grass)

TREE_PLOT Detailed tree measurements:

  • GBH: Girth at Breast Height (130cm)
  • Height: Estimated or measured
  • Crown Class: Dominant, Co-dominant, Intermediate, Suppressed
  • Canopy Cover: Percent of plot shaded
  • Health Status: Healthy, Stressed, Diseased, Dead
  • Regeneration: Seedlings, Saplings counted

Invertebrates (2 Methods)

QUADRAT_SAMPLING Standard quadrat counts:

  • Species identification
  • Count per quadrat
  • Microhabitat (soil, leaf litter, vegetation)
  • Substrate type

SWEEP_SAMPLING Sweep net within quadrat:

  • Number of sweeps
  • Specimens collected
  • Vegetation type swept
  • Time spent sweeping

Coverage Estimation

Visual Estimation Guide

CoverageDescription
1-5%Rare, scattered
6-25%Sparse, obvious gaps
26-50%Moderate, half cover
51-75%Abundant, dominant
76-100%Dense, near-complete

Tips for Accuracy

  • Use cover class categories
  • Compare with reference photos
  • Be consistent across plots
  • Note overlapping layers

Analysis Integration

Quadrat data supports:

Importance Value Index (IVI)

IVI = Relative Density + Relative Frequency + Relative Dominance

FieldEco automatically calculates:

  • Relative density
  • Relative frequency
  • Relative dominance (basal area)
  • IVI scores

Other Analyses

  • Species diversity indices
  • Community similarity
  • Stand structure metrics
  • Basal area summaries

Best Practices

Plot Placement

  • Use random coordinates
  • Avoid edge effects
  • Document placement method
  • Mark corners permanently (for monitoring)

Data Quality

  • Record all species including unknowns
  • Note any disturbance
  • Photograph the plot
  • Use consistent methodology