Lab 3: Secondary Growth Rings & Leaf Trait Analysis
Part A: Secondary Growth Analysis - Tree Rings
Background: What Are Growth Rings?
Simple explanation: Each year, a tree adds a new layer of wood under its bark. This creates visible rings you can see when a tree is cut. By studying these rings, we can:
Determine the tree's age
See which years had good/bad growing conditions
Detect droughts, fires, and other environmental events
Understand the tree's life history
Ring Anatomy
Each annual ring has TWO bands:
1. Earlywood (Springwood)
What it is: Light-colored band formed in spring/early summer
Why it's light: Cells are large with thin walls (less dense)
Function: Rapid water transport during growing season
In Arizona: Forms during spring moisture period
2. Latewood (Summerwood)
What it is: Dark-colored band formed in late summer/fall
Why it's dark: Cells are smaller with thick walls (more dense)
Function: Structural support
In Arizona: Forms as growth slows during hot, dry summer
One complete ring = 1 year of growth
Materials for Part A
Field/Collection:
Camera or smartphone
Metric ruler (with millimeters)
String or flexible measuring tape
Field notebook and pencil
Hand lens or magnifying glass (10× magnification)
Pencil for marking rings
What you need to find:
3 tree stumps or thick branches (>5 cm diameter)
Mix of species if possible
Showing clear annual rings
Finding Tree Stumps in Mohave County
Best sources:
Tree removal services (BEST option)
Companies in Kingman, Bullhead City, Lake Havasu City
Call ahead and ask to collect fresh-cut sections
They often have ponderosa pine, juniper, cottonwood from local work
Parks maintenance departments
City parks sometimes remove trees
Ask permission first
May have sections available
Landscape/firewood suppliers
Often cut local trees
May provide cross-sections
Private property (with permission)
Dead/fallen trees
Old fence posts (juniper, pine)
Recently cut firewood
Arizona-appropriate species to look for:
Conifers (excellent ring clarity):
Ponderosa pine (Pinus ponderosa) - BEST for this lab, clear rings
Pinyon pine (Pinus edulis) - common, clear rings
Utah juniper (Juniperus osteosperma) - very common, sometimes unclear rings
Arizona cypress (Cupressus arizonica) - good ring clarity
Hardwoods (more challenging but workable):
Velvet mesquite (Prosopis velutina) - common but rings can be hard to see
Fremont cottonwood (Populus fremontii) - near water, clear rings
Ash (Fraxinus) - landscape trees, clear rings
Arizona sycamore (Platanus wrightii) - near streams, good rings
Avoid:
Creosote bush (doesn't form clear rings)
Most desert shrubs (too small, unclear rings)
Weathered wood (rings deteriorated)
Spalted or rotted wood (rings obscured)
Procedure: Part A
Step 1: Stump Assessment
For each stump or branch section you collect:
a. Initial documentation:
Take photo with ruler for scale
Show entire cross-section
Include close-up of ring detail
b. Identification:
Species (if known): _____
If unknown, photograph bark texture and any attached needles/leaves
Identification tip: Conifers have resin canals (small holes), hardwoods have vessels (pores)
c. Measurements:
Diameter (if circular): _____ cm
If oval/irregular, measure:
Maximum diameter: _____ cm
Minimum diameter: _____ cm
Circumference: _____ cm
d. Condition assessment: / Fresh cut (within weeks) / Weathered (months old) / Partially decayed / Good condition
e. Visual inspection - note obvious features: / Fire scars (charred areas, distorted rings) / Insect damage (galleries, holes) / Asymmetric growth (wider rings on one side) / Rot or decay areas / Reaction wood (compressed/stretched rings) / Missing bark on sections
f. Initial ring count estimate:
Count visible rings by eye: approximately _____ rings
Note clarity: / Very clear / Moderately clear / Difficult to see
![Photo example: Well-prepared stump surface with visible rings]
Step 2: Surface Preparation (if needed)
For weathered stumps:
Lightly sand surface with fine-grit sandpaper
Sand in direction of rings (not across them)
Brush away sawdust
Slightly dampen surface with water to enhance contrast
Photograph before and after
Note: Fresh cuts need no preparation!
Step 3: Ring Counting and Marking
Why we use multiple radii: Trees don't always grow evenly. Counting three different radii helps us catch missing or false rings.
a. Locate the pith (center):
Look for the darkest spot in the middle
May be slightly off-center
If missing or decayed, estimate where it would be
![Diagram: Cross-section with pith marked in center]
b. Mark three measurement radii:
Draw three lines from pith to bark
Space them about 120° apart (roughly equal spacing around circle)
Label them: Radius A, Radius B, Radius C
Choose paths that avoid:
Knots (dark circular features)
Obvious damage or rot
Branch attachments
Fire scars
![Diagram: Stump with three radii marked 120° apart]
c. Count rings along each radius:
Counting method:
Start at pith (center)
Count outward toward bark
Use hand lens to see fine rings
Mark every 10th ring with a pencil dot (makes recounting easier!)
Count carefully: One ring = one light band + one dark band together
Watch out for:
Missing rings: Very narrow or absent rings (compare radii)
False rings: Incomplete bands that don't go all the way around
Wedging rings: Extremely narrow rings (easy to miss)
Double rings: Two bands in one year due to stress
e. Age estimate:
Average ring count: _____ rings
Add 3-5 years if stump cut above ground level
Estimated tree age: _____ years
f. Verify your count:
Recount at least once
If counts differ by >3 rings, count again
If one radius has fewer rings, it likely has missing rings
Confidence level: High (counts agree within 2 rings) / Medium (counts differ by 3-5 rings) / Low (counts differ by >5 rings)
Step 4: Ring Width Measurements
Why measure ring width? Wide rings = good growing year (wet). Narrow rings = stress year (drought, fire, competition).
a. Select your best radius:
Choose the clearest, most complete radius
Should avoid damage, knots, irregular areas
This is your "primary measurement radius"
Mark it clearly: "PRIMARY"
b. Measure each ring width:
Measurement technique:
Start at pith (center), work outward
Measure from beginning of one earlywood to beginning of next earlywood
Measure to nearest 0.5 mm (or 0.1 mm with calipers)
Be consistent with your starting/stopping points
![Diagram: Showing how to measure ring width consistently]
c. Create data table:
d. Photograph your measurements:
Show ruler alongside radius
Mark where you're measuring
Include close-ups of interesting patterns
Step 5: Earlywood/Latewood Analysis
Purpose: Understanding the ratio of earlywood to latewood tells us about growing season length and conditions.
a. Select 5 representative rings:
Choose rings from different life stages:
Ring(s) near pith: _____ (juvenile growth, often narrow)
Ring(s) from widest section: _____ (prime growth years)
Ring(s) near bark: _____ (recent growth)
b. Detailed measurements for selected rings:
For each selected ring:
Calculate Earlywood %: (Earlywood width ÷ Total width) × 100
c. Observe qualitative features:
Color contrast: Strong / Moderate / Weak
Earlywood vessels/cells: Large / Medium / Small
Ring boundary sharpness: Sharp / Gradual / Diffuse
Rays visible (radial lines): Yes, conspicuous / Faint / Not visible
d. Take detailed photos:
Close-ups showing earlywood/latewood contrast
Use hand lens if available
Include scale bar
Step 6: Growth History Reconstruction
Now interpret what the rings tell you about the tree's life!
a. Calculate growth statistics:
Mean ring width:
Add all ring widths: _____ mm
Divide by number of rings: _____ mm
Average ring width: _____ mm
Find extremes:
Maximum ring width: _____ mm (which ring? #_____)
Minimum ring width: _____ mm (which ring? #_____)
Range: _____ mm (max - min)
Calculate standard deviation: (measure of variability)
Use calculator or Excel: _____ mm
Coefficient of variation (CV):
Formula: (Standard deviation ÷ Mean) × 100 = _____%
Interpretation:
CV > 30%: "Sensitive" tree - responds strongly to environment (common in dry areas!)
CV 20-30%: Moderate sensitivity
CV < 20%: "Complacent" tree - stable conditions (rare in Arizona)
Your tree is: Sensitive / Moderate / Complacent
b. Identify growth periods:
Divide the tree's life into phases based on ring widths:
1. Juvenile phase (first years of life)
Years: 1 to _____
Average ring width: _____ mm
Characteristics: _____
2. Prime growth phase (widest rings)
Years: _____ to _____
Average ring width: _____ mm
Characteristics: _____
3. Mature phase (recent years)
Years: _____ to _____ (present)
Average ring width: _____ mm
Characteristics: _____
4. Suppression events (very narrow rings, growth nearly stopped)
Year(s): _____, _____, _____
Possible causes: Drought / Competition / Insect attack / Fire
5. Release events (sudden increase in growth)
Year(s): _____, _____, _____
Possible causes: Increased water / Neighbor removed / Fire thinning / Other
c. Diameter growth over time:
Calculate when tree reached specific sizes:
Method: Add ring widths cumulatively from center outward
Example calculation:
Ring 1: 2 mm → radius = 2 mm → diameter = 4 mm = 0.4 cm
Ring 2: 3 mm → radius = 5 mm → diameter = 10 mm = 1.0 cm
Ring 3: 4 mm → radius = 9 mm → diameter = 18 mm = 1.8 cm
(Continue...)
Record milestones:
Diameter at age 5: _____ cm
Diameter at age 10: _____ cm
Diameter at age 15: _____ cm
Diameter at age 20: _____ cm
Age when reached 5 cm diameter: _____ years
Age when reached 10 cm diameter: _____ years
Age when reached 15 cm diameter: _____ years
d. Create growth curve:
On graph paper, plot:
X-axis: Age (years from pith to bark)
Y-axis: Cumulative diameter (cm)
Curve shape reveals growth strategy:
Steep early slope: Fast juvenile growth (common in open areas)
Gradual leveling: Growth slowing with age (normal)
Stepped pattern: Periods of growth and suppression
Sudden increases: Release after competitor removal
e. Cross-check between radii:
Compare your three radii:
Do they show the same pattern of wide/narrow rings?
Distinctive patterns (signature years) should appear in all three
If a pattern appears in only one radius → may be false ring or local damage
If one radius has fewer rings → likely has missing rings
Final refined age estimate: _____ years
Confidence: High / Medium / Low
Step 7: Environmental Interpretation (Arizona-specific)
Connect your ring patterns to Mohave County climate history:
Known drought years in Arizona:
2002, 2011-2013, 2020-2021 (recent severe droughts)
1950s "Dust Bowl" drought
Look for clusters of narrow rings during these periods
Wet years (El Niño events):
1982-1983, 1997-1998, 2015-2016 (strong El Niño winters)
Look for wider rings following these years
Fire history:
Fire scars appear as charred areas or distorted rings
Mohave County has frequent wildfire history
Post-fire rings often show release (wider growth)
Questions to answer:
Can you identify any major drought years in your tree's rings? Years: _____
Are there any wet years showing unusually wide rings? Years: _____
Does your tree show evidence of fire? Yes - describe: _____ / No
What was the best growth year for this tree? Year (ring #): _____ Ring width: _____ mm
What was the worst growth year? Year (ring #): _____ Ring width: _____ mm
Part B: Leaf Functional Traits
Background: Why Study Leaves?
Simple explanation: Leaves are where photosynthesis happens, but they also lose water. Different environments require different leaf strategies. By measuring leaf traits, we can understand how plants adapt to their habitats.
Key Leaf Traits
1. Specific Leaf Area (SLA)
What it is: Leaf area per unit dry mass (m²/kg)
What it means:
High SLA: Thin, large leaves per unit weight → "cheap" leaves, fast growth
Low SLA: Thick, small leaves per unit weight → "expensive" leaves, long-lived
2. Leaf Size
Why it matters: Larger leaves catch more light but heat up more
Desert adaptation: Small leaves reduce water loss and overheating
3. Leaf Thickness
Thick leaves: Store water, resist drying (succulents, desert plants)
Thin leaves: Efficient gas exchange but dry quickly
4. Leaf Margin
Entire (smooth): Less evaporative surface
Toothed/serrated: More surface area, found in moist climates
![Diagram showing leaf margin types: entire, serrate, dentate, lobed]
Materials for Part B
Field collection:
Pruning shears or scissors
Plastic bags (ziplock, labeled)
Permanent marker
Field notebook
Camera
Cooler with ice (optional but helpful)
Scale
Metric ruler
ImageJ software (free download)
Plant press
Leaf Collection Strategy
Target: 30 leaves from at least 10 different species
You need variety in:
Habitats: Sun vs. shade, wet vs. dry
Growth forms: Trees, shrubs, herbs, vines
Leaf types: Monocots and eudicots, simple and compound
Leaf sizes: Small, medium, large
Leaf Collection Guide
Category 1: Full Sun, Dry Habitat (Xeric) - Collect 6-9 leaves
Trees/Shrubs (woody plants):
Creosote bush (Larrea tridentata) - small, waxy, resinous
Brittlebush (Encelia farinosa) - silvery, hairy
Catclaw acacia (Senegalia greggii) - compound leaves, small leaflets
Desert willow (Chilopsis linearis) - narrow, linear leaves
Fourwing saltbush (Atriplex canescens) - gray, scaly
Herbs:
Desert marigold (Baileya multiradiata) - hairy, dissected
Desert chicory (Rafinesquia neomexicana) - spring annual
Expected traits: Small size, thick, hairy, waxy coatings, low SLA
Category 2: Shade, Moist Habitat (Mesic) - Collect 6-9 leaves
Trees/Shrubs:
Fremont cottonwood (Populus fremontii) - near streams, large, thin
Arizona sycamore (Platanus wrightii) - large, lobed, thin
Goodding's willow (Salix gooddingii) - riparian, narrow leaves
Arizona ash (Fraxinus velutina) - compound leaves
Understory/Shade plants:
Western poison ivy (Toxicodendron rydbergii) - BE CAREFUL! Compound leaves
Wild grape (Vitis arizonica) - large, lobed
Shade-grown landscape plants in irrigated areas
Expected traits: Larger size, thinner, less hairy, higher SLA
Category 3: Mixed Habitats - Collect remaining leaves
Grasses (monocots):
Big galleta (Pleuraphis rigida)
Indian ricegrass (Achnatherum hymenoides)
Bermuda grass (Cynodon dactylon) - in lawns
Succulents (modified leaves):
Yucca (Yucca spp.) - thick, fibrous
Agave (if available) - very thick, fleshy
Landscape/Garden plants (with permission):
Mulberry - large, sometimes lobed
Olive - small, waxy
Various ornamentals
Agricultural weeds:
Pigweed (Amaranthus spp.)
Puncture vine (Tribulus terrestris)
Russian thistle (Salsola tragus)
Procedure: Part B
Step 1: Leaf Collection and Initial Assessment
Best collection practices:
a. Timing:
Collect in early morning (leaves fully hydrated)
Avoid midday heat (leaves may be wilted)
Spring or fall are best seasons
b. Selection criteria:
Choose mature, healthy leaves
Avoid damaged, diseased, or insect-eaten leaves
Select typical size for the species
One leaf per plant (spread out collection)
c. Handling:
Cut with clean shears
Place immediately in labeled plastic bag
Keep cool and moist until processing
Label bag with: species, location, habitat, date
For each of your 30 leaves:
1. Assign unique ID number: Leaf #_____
2. Species identification:
Scientific name: _____
Common name: _____
If unsure, take photos and use field guide later
3. Habitat information:
Collection location: _____
Light environment: Full sun / Partial shade / Deep shade
Moisture regime: Xeric (dry) / Mesic (moderate) / Hydric (wet)
Position on plant: Upper canopy / Mid / Lower / Understory
Soil type: Sandy / Rocky / Clay / Cultivated
4. Photograph leaf:
Place on white background
Include metric ruler for scale
Flatten leaf gently (don't damage)
Photo of upper surface (adaxial - top side)
Photo of lower surface (abaxial - bottom side)
Ensure entire leaf including stem (petiole) is visible
5. Qualitative trait observations:
Special features (check all that apply): / Glands (dots or bumps) / Stipules (small leaf-like structures at base) / Aromatic (strong smell when crushed) / Sticky/resinous / Color: / Green / Blue-green / Gray-green / Silvery / Other: _____
6. Linear dimension measurements:
Use metric ruler, measure to nearest mm:
For simple leaves:
Leaf blade length (base to tip along midvein): _____ mm
Leaf blade width (widest point, perpendicular to midvein): _____ mm
Petiole length (base of blade to stem attachment): _____ mm
Total leaf length (blade + petiole): _____ mm
For compound leaves:
Number of leaflets: _____
Whole leaf length (base to tip including all leaflets): _____ mm
Whole leaf width (widest spread): _____ mm
Largest leaflet length: _____ mm
Largest leaflet width: _____ mm
Note: For analysis, you can use either whole leaf or individual leaflet measurements depending on the question
7. Thickness estimate:
Gently feel leaf between thumb and forefinger:
Thickness rating: / 1 - Very thin (tissue paper-like) / 2 - Thin (typical broadleaf) / 3 - Moderate / 4 - Thick (leathery) / 5 - Very thick (succulent)
Arizona note: Desert plants often rate 4-5; riparian plants often rate 1-2
Step 2: Fresh Mass Measurement
Why measure fresh mass? Allows calculation of water content, which relates to habitat moisture.
Procedure:
Gently blot leaf with paper towel to remove surface moisture
Weigh immediately on digital balance
Fresh mass: _____ g
Record to 0.01 g precision
Handle leaf carefully - oils from fingers can affect mass!
Step 3: Begin Drying Process
Purpose: Dry mass is needed for calculating SLA (most important leaf trait).
Drying procedure:
Method 1: Drying oven (fastest, most reliable)
Place leaf in labeled paper envelope
Write leaf ID on envelope in pencil (pen may run)
Place in drying oven at 60-70°C
Dry for 48-72 hours
Weigh daily until mass is constant (change <0.01 g between days)
Method 2: Air drying (no oven available)
Place leaf in labeled paper envelope
Place in warm, dry, well-ventilated location
Good spots: on top of refrigerator, near (not on) heater, sunny windowsill
Will take 5-7 days
Check daily until completely crispy-dry
While leaves are drying, continue to Steps 4 & 5...
Step 4: Leaf Area Determination
Why is area important? SLA = Area ÷ Mass. It's the key trait linking leaf structure to function.
You'll need ImageJ software (free download): https://imagej.net/ij/download.html
Scanning/photographing leaves:
Method 1: Scanner (best accuracy)
Place leaves flat on scanner bed
Include metric ruler in scan
Scan at 300 dpi minimum (600 dpi better for small leaves)
Can scan multiple leaves per image if they don't overlap
Save as JPEG
Method 2: Camera (if no scanner)
Place leaves flat on white/contrasting background
Include ruler
Camera directly overhead (perpendicular to leaves)
Good even lighting, no shadows
High resolution setting
Processing images with ImageJ:
Video tutorial: https://www.youtube.com/watch?v=kXFShlKSXbM
Step-by-step:
Open image in ImageJ
File → Open → select your image
Set scale (tells ImageJ what size things are)
Analyze → Set Scale
Use "Straight Line" tool to draw along ruler in image
Enter known distance (e.g., 10 cm)
Select unit (cm)
Click "Global" if all images same scale
Click OK
Trace leaf outline
Zoom in for precision (use + tool)
Select "Polygon Selection" tool (for straight edges) OR
Select "Freehand Selection" tool (for curved edges)
Carefully trace around entire leaf perimeter
Close the selection (double-click or return to start)
Measure area
Analyze → Measure (or press 'M')
Area appears in Results window in cm²
Record area: _____ cm²
Repeat for all 30 leaves
Step 5: Leaf Perimeter Measurement
Why measure perimeter? Quantifies leaf complexity and dissection. More complex leaves have higher perimeter:area ratios.
Video tutorial: https://www.youtube.com/watch?v=CFpNrOSFU60
In ImageJ (after tracing outline for area):
The Results window automatically shows "Perimeter" in addition to Area
Record perimeter: _____ cm
For complex/lobed leaves:
Measure entire outer perimeter (not individual lobes separately)
Don't trace into deep sinuses
Step 6: Dry Mass Measurement
After 48-72 hours of drying (or 5-7 days air drying):
Check if fully dry:
Leaf should be crispy, not flexible
Weigh, wait 24 hours, weigh again
If mass unchanged (within 0.01 g) → fully dry
If still losing mass → continue drying
Final dry mass: _____ g
Step 7: Calculate Derived Traits
These calculated values are often more meaningful than raw measurements!
For each of your 30 leaves, calculate:
a. Specific Leaf Area (SLA) - THE MOST IMPORTANT LEAF TRAIT
Formula: SLA = Leaf area (cm²) ÷ Dry mass (g)
Example calculation:
Leaf area = 25 cm²
Dry mass = 0.18 g
SLA = 25 ÷ 0.18 = 138.9 cm²/g
Convert to standard units (m²/kg):
Multiply cm²/g by 10
138.9 × 10 = 1389 m²/kg
Your calculation:
SLA = _____ cm²/g = _____ m²/kg
What SLA means:
High SLA (>20 m²/kg, or >2000 cm²/g):
Thin, "cheap" leaves
Fast growth strategy
Shade-adapted or wet-habitat plants
Short leaf lifespan
Low SLA (<10 m²/kg, or <1000 cm²/g):
Thick, "expensive" leaves
Slow growth, conservative strategy
Sun-adapted or dry-habitat plants
Long leaf lifespan (months to years)
Medium SLA (10-20 m²/kg):
Intermediate strategy
Expected in Mohave County:
Desert plants: LOW SLA (thick, long-lived leaves)
Riparian plants: HIGH SLA (thin, fast-growing leaves)
b. Water Content
Formula: Water content = [(Fresh mass - Dry mass) ÷ Fresh mass] × 100
Example:
Fresh mass = 0.45 g
Dry mass = 0.18 g
Water content = [(0.45 - 0.18) ÷ 0.45] × 100 = 60%
Your calculation:
Water content = _____%
Interpretation:
High water content (>70%): Mesophytes (moderate moisture plants)
Medium water content (60-70%): Typical
Low water content (<60%): Xerophytes (drought-adapted) or sclerophylls (thick, tough leaves)
c. Leaf Shape Index (Length:Width Ratio)
Formula: Length ÷ Width
Example:
Length = 80 mm
Width = 35 mm
Ratio = 80 ÷ 35 = 2.3
Your calculation:
Shape index = _____
Interpretation:
Ratio close to 1: Round or ovate leaves
Ratio 2-3: Elliptical leaves
Ratio >3: Narrow, linear leaves (common in dry habitats)
d. Petiole:Blade Ratio
Formula: Petiole length ÷ Blade length
Your calculation:
Ratio = _____
Why it matters:
Long petioles allow leaves to adjust position for light
Short/no petioles: more conservative water strategy
e. Leaf Dissection Index (Perimeter:Area Ratio)
Formula: Perimeter (cm) ÷ √Area (cm²)
Example:
Perimeter = 45 cm
Area = 25 cm²
√25 = 5
Dissection index = 45 ÷ 5 = 9.0
Your calculation:
Dissection index = _____
Interpretation:
Low values (4-6): Simple, entire margins
High values (>8): Complex, lobed, or deeply toothed
Higher dissection = more boundary layer disruption = better cooling
Step 8: Data Compilation
Create a master data table with all 30 leaves: