Chapter 6 Practical 6

Aim:

To estimate the plant and animal biodiversity of the college campus using quadrat and transect sampling methods and to calculate the Simpson's Biodiversity Index for different habitats.

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 1) Biodiversity assessment tool

 

Principle:

Biodiversity encompasses the variety of life at all levels. Assessing it requires sampling methods because counting every individual in a large area is impossible. For immobile organisms (plants), quadrat sampling is used. For mobile organisms (insects, birds), transect walks and direct observation are effective. The data collected is used to calculate diversity indices, which provide a quantitative measure that combines both species richness (number of species) and species evenness (abundance of each species). The most common is Simpson's Biodiversity Index (D).

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Materials Required:

1. 1m x 1m Quadrat frame (can be made with sticks and rope)

2. Measuring tape (50m)

3. Field notebook and pencil

4. Camera or smartphone (for documenting species)

5. Local field guides or identification apps (e.g., Google Lens, iNaturalist, PlantNet)

6. Sweep net (for insects)

7. Binoculars (for birds)

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Procedure:

Step 1: Define Habitats and Hypothesis

• Identify and mark 2-3 distinct habitats on your campus map:

  1. Manicured Lawn: Regularly mowed grass area.

  2. Wooded Area: Area with trees and undergrowth.

  3. Gardened Area: Flower beds or landscaped sections.

• Formulate a Hypothesis: "The wooded area will have higher plant and animal biodiversity compared to the manicured lawn."

Step 2: Plant Biodiversity Sampling (Quadrat Method)

1. Random Placement: In each habitat, use a "random walk" method or generate random coordinates to place the 1m² quadrat at 5 different locations.

2. Identify and Count: For each quadrat:

   • Identify all plant species within the frame.

   • For each species, estimate its percentage cover (e.g., Grass: 70%, Clover: 20%, Dandelion: 10%).

   • Record the data in a table.

Step 3: Animal Biodiversity Sampling (Transect Walk)

1. Define the Transect: Lay a 50m measuring tape in a straight line through each habitat.

2. Walk and Observe: Walk slowly along the tape for 15 minutes.

   • Record all animal species seen or heard (birds, insects, reptiles, mammals) within 5m on either side of the tape.

   • For insects, use a sweep net (10 sweeps per habitat).

   • Tally the number of individuals of each species.

Step 4: Data Analysis

1. Calculate Species Richness (S): The total number of different species found in each habitat.

2. Calculate Simpson's Biodiversity Index (D): This measures the probability that two individuals randomly selected from a sample will belong to the same species. A higher value (closer to 1) indicates greater diversity.
   Formula: $D=1-\frac{\sum n(n-1)}{N(N-1)}$

   • n = total number of individuals (or % cover) of a particular species

   • N = total number of individuals (or total % cover) of all species

   • ∑ = sum of the calculations for each species

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Observations:

Table 1: Plant Species Data from Manicured Lawn Habitat (Quadrat Sampling)

Species Name	% Cover (n)	n(n-1)
Bermuda Grass	70	70*69 = 4830
White Clover	20	20*19 = 380
Plantain	10	10*9 = 90
Total (N)	100	∑ = 5300

Table 2: Animal Species Data from Wooded Habitat (Transect Walk)

Species Name	Abundance (n)	n(n-1)
Ants	45	45*44 = 1980
Earthworm	10	10*9 = 90
Sparrow	3	3*2 = 6
Squirrel	2	2*1 = 2
Total (N)	60	∑ = 2078

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Calculations:

1. Simpson's Index (D) for Lawn Plants:
$D=1-\frac{5300}{100(99)}=1-\frac{5300}{9900}=1-0.535=0.465$

2. Simpson's Index (D) for Wooded Area Animals:
$D=1-\frac{2078}{60(59)}=1-\frac{2078}{3540}=1-0.587=0.413$

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Result:

• The plant biodiversity in the lawn habitat, as measured by Simpson's Index, is 0.465.

• The animal biodiversity in the wooded habitat, as measured by Simpson's Index, is 0.413.

• Species Richness: The wooded area had a higher number of animal species (S=4) compared to the lawn (S=3 for plants in this sample).

• The hypothesis was partially supported: The wooded area showed higher species richness, but the Simpson's Index for the lawn was slightly higher due to the high evenness of three species, compared to the ant-dominated animal community in the woods.

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Discussion:

• Interpretation of Results: The lawn's plant diversity was moderate. While it had fewer species, the evenness was high. The wooded area supported more animal species, but the community was dominated by ants, which lowered its diversity index.

• Urban Biodiversity: This study highlights that even small, managed ecosystems like a college campus host measurable biodiversity. The presence of squirrels and diverse insects indicates the ecological value of urban green spaces.

• Limitations: Sampling bias (weather, time of day), misidentification of species, and the small sample size are limitations. Many nocturnal and cryptic species were missed.

• Importance: Understanding local biodiversity is the first step toward conservation. This method can be used to monitor changes over time and assess the impact of campus management practices.

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Conclusion:

The quadrat and transect methods are efficient and practical tools for estimating local biodiversity. The calculation of Simpson's Diversity Index provides a quantitative measure to compare different habitats. This study successfully documented and quantified the plant and animal life on the college campus, revealing that both manicured and naturalized areas contribute to its overall ecological value. Conserving even small wooded patches is crucial for maintaining urban biodiversity.

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Viva Voce Questions:

1. Why is a quadrat used for plants and a transect for animals?

   • Plants are sessile (immobile), so a quadrat provides a snapshot of a fixed area. Animals are mobile, so a transect walk is better for capturing their presence along a path.

2. What does a Simpson's Index value of 0 mean? What does a value of 1 mean?

   • 0 indicates no diversity (only one species present). 1 indicates infinite diversity (every individual belongs to a different species).

3. Name one reason why a managed lawn might have lower biodiversity than a wild meadow.

   • Regular mowing prevents the growth of flowering herbs and shrubs, reducing habitat and food sources for many species.

4. How could you improve the accuracy of this study?

   • By increasing the sample size (more quadrats/transects), repeating the study in different seasons, and involving experts for accurate species identification.

5. What is the difference between species richness and species evenness?

   • Richness is the total number of different species. Evenness is how close in numbers the populations of each species are. Simpson's Index combines both.

      

      

     B 

      Practical Manual: Digital-Integrated Biodiversity Assessment of College Campus

     Aim

     To estimate plant and animal biodiversity of the college campus using quadrat and transect sampling methods, document observations through iNaturalist, and calculate Simpson's Biodiversity Index for different habitats.

      Learning Objectives

      Upon completion, students will be able to: 

     Execute systematic quadrat and transect sampling protocols

   • Utilize iNaturalist for species documentation, identification, and data verification
   • Calculate and interpret Simpson's Biodiversity Index across habitats
   • Contribute to global biodiversity databases through citizen science
   • Analyze spatial distribution patterns using digital mapping tools
   • Evaluate data quality and observer bias in citizen science platform

    

   Theoretical Background

   1. Traditional Sampling Methods + Digital Enhancement

    

   Traditional Method	Digital Integration via iNaturalist	Advantage
   Field notebooks	Mobile app observations with GPS coordinates	Permanent georeferenced records
   Physical voucher specimens	Research-grade photo vouchers	Non-destructive documentation
   Expert identification	Community/CV-assisted ID + expert verification	Faster, accessible taxonomy
   Manual data entry	Automatic database export (CSV/JSON)	Error reduction, time efficiency
   Local reports	Global biodiversity data contribution	Real-world impact, open science

   2. iNaturalist as a Scientific Tool

   Research Grade Observations: Require date, location, photo evidence, and community verification

   Computer Vision: AI suggestions trained on millions of observations

   Data Quality: Community consensus mechanism; experts can confirm/refine IDs

   Export Capabilities: CSV download for statistical analysis (abundance, frequency data)

   
   

3. Simpson's Diversity Index (D)

$D=\frac{\sum n_i(n_i-1)}{N(N-1)}$

Simpson's Index of Diversity (1-D): 0 (no diversity) → ~1 (maximum diversity)

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Materials Required

Table

Category	Items
Digital Equipment	Smartphone with camera, portable charger, iNaturalist app (installed), GPS/location services enabled
Field Equipment	Quadrat frames (0.5m × 0.5m, 1m × 1m), measuring tape (30-50m), compass, flag markers
Documentation	Field notebook (backup), data sheets, clipboard, waterproof labels for physical vouchers
Physical Collection	Plant press (optional backup), insect aspirator (if permitted), 70% ethanol, ziplock bags
Safety	First aid kit, sunscreen, insect repellent, water, sturdy footwear

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Pre-Field Preparation: iNaturalist Setup

Step 1: Account Creation & Project Setup

1. Download iNaturalist app (iOS/Android) or visit https://www.inaturalist.org
2. Create student account using institutional email
3. Join your class project: "[College Name] Biodiversity Assessment 2024"
4. Configure settings:
   • Location accuracy: High precision (GPS on)
   • License: CC-BY for educational use
   • Data sharing: Enable automatic sync

Step 2: Pre-Field Training

• Complete iNaturalist "Getting Started" tutorial
• Practice photographing: Whole organism + Habitat + Diagnostic features (leaves, flowers, bark)
• Review taxonomy: Kingdom → Species identification levels
• Understand "Research Grade" criteria:
  • ✓ Date and location present
  • ✓ Photo/media evidence
  • ✓ Not captive/cultivated (wild organisms only)
  • ✓ Community ID agreement at species level

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Experimental Design

Study Site Selection

Select 3-4 contrasting habitats on campus:

Table

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Habitat Code	Description	iNaturalist Place Filter
H1-LAWN	Maintained grass/turf areas	Campus lawns, open green
H2-WOOD	Native/exotic tree grove	Woodland, arboretum
H3-GARD	Flower beds, landscaped areas	Botanical garden sections
H4-DIST	Disturbed/construction edges	Brownfield, roadside verges

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Methodology

Part A: Quadrat Sampling with iNaturalist Documentation

Procedure:

1. Random Quadrat Placement

• Establish 50m × 50m representative plot in each habitat
• Use random coordinates to place 10 quadrats (1m × 1m) per habitat
• Minimum 5m spacing between quadrats

2. iNaturalist Documentation Protocol For each distinct species within the quadrat:

Table

Step	Action	iNaturalist Function
1	Photograph entire plant/animal in situ	Add observation → Take photo
2	Capture diagnostic features (leaf, flower, bark, tracks)	Add multiple photos to single observation
3	Record exact count/abundance in Notes field	Observation Notes: "Quadrat Q1-LAWN, n=15 individuals"
4	Tag with project and habitat code	Projects → "[College] Biodiversity Assessment"
5	Mark location with high accuracy (<10m radius)	Verify GPS pin placement
6	Initial ID to lowest possible taxon	Use AI suggestions or field guides

3. Data Recording Format (Field Backup + iNaturalist):

Table

Quadrat	iNaturalist Obs. ID	Species (App Suggestion)	Community ID	Individuals (n)	% Cover	Research Grade?
Q1-LAWN	[URL/ID]	Cynodon dactylon	Cynodon dactylon	45	60%	✓ Yes
Q1-LAWN	[URL/ID]	Trifolium sp.	Trifolium repens	8	15%	✓ Yes

4. Post-Field Verification (24-48 hours later)

• Review iNaturalist notifications for community feedback
• Update IDs based on expert suggestions
• Withdraw incorrect observations to maintain data quality

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Part B: Transect Sampling with iNaturalist

Procedure:

1. Transect Establishment

• 100m line transect per habitat (compass-oriented)
• Belt width: 2m (1m each side of center line)
• Mark every 10m with GPS waypoints

2. Continuous iNaturalist Logging

• Mobile App Method: Create observations continuously while walking
• Effort: Slow walk (10m per 2 minutes) to ensure detection
• Documentation: Every distinct species encountered gets observation
• Abundance: Use iNaturalist "Number of individuals" field or Notes

3. Animal-Specific Protocols

Table

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Taxon	Detection Method	iNaturalist Evidence
Birds	Visual/audial	Photo, sound recording, or field notes with description
Insects	Hand capture → photo → release	Macro photography, habitat notes
Mammals	Indirect (tracks, scat, burrows)	Photograph sign, measure, scale object
Herps	Visual encounter	Habitat photo, dorsal/lateral views

4. Temporal Replication

• Conduct 3 replicate surveys per habitat
• Vary times: Morning (6-9 AM), Midday (12-2 PM), Evening (4-7 PM)
• iNaturalist automatically timestamps observations

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Part C: Data Export from iNaturalist for Analysis

Step 1: Filter Observations

1. Go to https://www.inaturalist.org/observations
2. Apply filters:
   • Project: [Your Class Project]
   • Observer: Your username or group members
   • Quality Grade: Research Grade (for verified data)
   • Date: Survey dates

Step 2: Export Data

• Click "Download" → Create export
• Select fields: id, observed_on, url, image_url, sound_url, description, num_identification_agreements, taxon_id, scientific_name, common_name, iconic_taxon_name, taxon_family_name, latitude, longitude, positional_accuracy, place_guess

Step 3: Data Cleaning

• Import CSV to Excel/R/Python
• Extract abundance data from "Description" field (if recorded as "n=15")
• Cross-reference with field notebook backup data
• Resolve any "Needs ID" observations manually using field guides

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Part D: Simpson's Biodiversity Index Calculation

Using iNaturalist Data:

Example: Lawn Habitat (Research Grade Observations Only)

Table

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iNaturalist ID	Species (Community ID)	Family	Individuals (n)	$n_i(n_i-1)$
obs/123456	Cynodon dactylon	Poaceae	45	1,980
obs/123457	Trifolium repens	Fabaceae	12	132
obs/123458	Plantago major	Plantaginaceae	8	56
obs/123459	Euphorbia hirta	Euphorbiaceae	5	20
obs/123460	Cyperus rotundus	Cyperaceae	3	6
Total	S = 5 species		N = 73	Σ = 2,194

Calculations: $D=\frac{2,194}{73\times 72}=0.417$ $1-D=0.583\text{ (moderate diversity)}$ $\frac{1}{D}=2.40$

Advanced: iNaturalist API for Automated Analysis

Python

# Optional: Use iNaturalist API to fetch observations programmatically
import requests
params = {
    'project_id': 'your-project-id',
    'quality_grade': 'research',
    'iconic_taxa': 'Plantae'
}
response = requests.get('https://api.inaturalist.org/v1/observations', params=params)
data = response.json()
# Process for Simpson's Index calculation

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Data Analysis & Comparison

Comparative Analysis Table:

Table

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Metric	Lawn	Woodland	Garden	Disturbed	Calculation Source
Total Observations	45	78	52	31	iNaturalist count
Research Grade %	89%	94%	85%	71%	Data quality check
Species Richness (S)	8	22	15	6	Unique taxa
Total Individuals (N)	156	203	98	42	Sum of abundances
Simpson's D	0.42	0.15	0.28	0.55	Formula
Simpson's 1-D	0.58	0.85	0.72	0.45	Diversity index
Dominant Species	Cynodon (29%)	Shorea (12%)	Rosa (18%)	Chenopodium (35%)	% of N
Evenness (J)	0.65	0.88	0.78	0.52	$J=\frac{1-D}{1-1/S}$

iNaturalist-Specific Metrics:

Table

Metric	Description	Interpretation
ID Agreement Ratio	Agreements/Total IDs	Higher = more confident taxonomy
Taxon Ranks	% ID to Species vs. Genus/Family	Indicates identification difficulty
Spatial Accuracy	Mean positional accuracy (m)	<30m = reliable for campus scale
Temporal Distribution	Observations across time periods	Detects phenological patterns

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Integration of iNaturalist Features

1. Computer Vision vs. Expert Verification

• Compare your initial ID (AI suggestion) with final Community ID
• Calculate Accuracy Rate: $\frac{\text{Correct AI suggestions}}{\text{Total observations}}$
• Discuss: When does AI fail? (rare species, poor photos, juvenile stages)

2. Range Maps & Species Occurrence

• Use iNaturalist "Map" view to see if species are novel to campus
• Check "Seen Nearby" feature for expected species not detected
• Compare campus list with regional species pool

3. Phenology Analysis

• iNaturalist automatically records flowering/fruiting if annotated
• Filter by "Flowering" observation field
• Compare phenology across habitats

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Expected Results & Digital Insights

Habitat Patterns:

Table

Habitat	Expected Pattern	iNaturalist Insight
Lawn	Low diversity, high dominance	Many "Casual" grade (cultivated grass); few Research Grade natives
Woodland	Highest diversity, complex structure	High insect/bird diversity; seasonal variation visible in timeline
Garden	Moderate diversity, exotic bias	Many "Captive/Cultivated" flags; compare wild vs. planted
Disturbed	Pioneer species, low evenness	Early successional specialists; iNaturalist may suggest weedy natives

Data Quality Considerations:

• Observer Bias: Are showy flowers over-represented?
• Detection Bias: Do small insects achieve Research Grade less often than birds?
• Temporal Bias: Are nocturnal species under-sampled?

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Precautions & Best Practices

Table

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Issue	iNaturalist Solution	Traditional Backup
No internet in field	App works offline; sync later	Field notebook mandatory
Battery failure	Portable charger; airplane mode between obs	Physical data sheets
Taxonomic uncertainty	ID to genus/family; mark "ID Please"	Collect voucher (if permitted)
Location sensitivity	Obscure location for rare species (if any)	General place name only
Photo quality	Multiple angles; scale object; focus	Sketch diagnostic features

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Discussion Questions

Methodological:

1. How does iNaturalist's "Research Grade" filter affect biodiversity estimates? What biases might this introduce?
2. Compare the time efficiency of digital documentation vs. traditional voucher collection. What is lost/gained?
3. How does community identification accuracy vary across taxonomic groups (plants vs. insects vs. fungi)?

Ecological:

4. Analyze your Simpson's Index results: Which habitat has highest diversity? Does this align with structural complexity?
5. Use iNaturalist "Compare" tool: Are campus species distributions expanding or contracting based on historical observations?

Citizen Science:

6. How does your class data contribute to global biodiversity monitoring (e.g., GBIF, conservation assessments)?
7. Discuss privacy implications of precise geotagging for rare species on campus.

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Deliverables

Individual Submission:

1. iNaturalist Profile: Minimum 50 Research Grade observations
2. Data Export: CSV of all observations with metadata
3. Calculations: Simpson's Index for assigned habitat (hand calculations + spreadsheet)
4. Species Portfolio: 5 best-documented species with natural history notes

Group Report (4-5 students):

1. Comparative Analysis: 3000-word report including:
   • Methodology (traditional + digital integration)
   • Results (tables, figures from iNaturalist data)
   • Habitat comparison using Simpson's Index
   • Data quality assessment
2. Visualizations:
   • iNaturalist "Observations Map" screenshot
   • Species accumulation curves
   • Rank-abundance diagrams
3. Management Recommendations: Based on biodiversity hotspots identified

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Assessment Rubric

Table

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Criteria	Excellent (9-10)	Good (7-8)	Satisfactory (5-6)	Poor (<5)
iNaturalist Proficiency	50+ Research Grade, accurate IDs, full metadata	40+ obs, mostly Research Grade, minor errors	30+ obs, some quality issues	<30 obs, many casual grade
Field Execution	Systematic sampling, GPS accuracy <10m, replicate surveys	Good methodology, minor GPS errors	Some systematic bias	Unreliable sampling
Data Analysis	Correct Simpson's calculations, comparative statistics, error analysis	Correct calculations, basic comparison	Calculation errors, superficial	Incorrect methodology
Integration	Insightful discussion of digital vs. traditional methods	Good comparison of approaches	Limited critical analysis	No digital integration discussion
Contribution	Active community ID, project curation, data quality flags	Some community engagement	Passive observation only	No iNaturalist engagement

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References & Resources

1. iNaturalist:
   • Website: https://www.inaturalist.org
   • Help: https://www.inaturalist.org/pages/help
   • Teacher's Guide: https://www.inaturalist.org/pages/teacher's+guide
   • API Documentation: https://api.inaturalist.org/v1/docs/
2. Ecological Methods:
   • Magurran, A.E. (2004). Measuring Biological Diversity. Blackwell.
   • Krebs, C.J. (1999). Ecological Methodology (2nd ed.).
3. Citizen Science:
   • Chandler et al. (2017). Contribution of citizen science toward international biodiversity monitoring. Biological Conservation.

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Duration: 8 hours field work + 6 hours digital curation/analysis
Technology Requirement: Smartphone per student, iNaturalist account
Data Legacy: All Research Grade observations permanently contribute to GBIF and conservation science