How to Calculate Weight of a Tree

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How to Calculate Weight of a Tree

Easily estimate the total weight of a tree using our intuitive calculator. Understand the key measurements and factors that contribute to a tree's mass for forestry, landscaping, and environmental applications.

Tree Weight Calculator

Enter the total height of the tree in meters (m). Please enter a valid height (e.g., >0).
Enter the trunk diameter in meters (m), measured at 1.3m above ground. Please enter a valid diameter (e.g., >0).
Softwood (e.g., Pine, Fir) – ~400 kg/m³ Hardwood (e.g., Oak, Maple) – ~600 kg/m³ Very Dense Hardwood (e.g., Lignum Vitae) – ~750 kg/m³ Average – ~500 kg/m³ Select the approximate density of the tree's wood in kilograms per cubic meter (kg/m³).
Enter the ratio of the crown's height to the total tree height (0 to 1). A fuller crown has a higher ratio. Please enter a ratio between 0 and 1.

Estimated Total Tree Weight

0 kilograms (kg)

Estimated Wood Volume

0

Estimated Biomass Volume

0

Estimated Crown Volume

0
Formula Used:

Tree Weight ≈ (Total Volume) × (Wood Density)

Total Volume is approximated using a combination of trunk volume (cylinder) and crown volume (cone/ellipsoid approximation). Biomass Volume is derived from Total Volume, accounting for bark and foliage. Trunk Volume ≈ π × (Diameter/2)² × (Height × (1 – Crown Ratio)) Crown Volume ≈ (1/3) × π × (Trunk Diameter) × (Height × Crown Ratio) (Simplified conical approximation) Total Volume ≈ Trunk Volume + Crown Volume Weight ≈ Total Volume × Wood Density (for dry wood estimate) *Note: This is a simplified model. Actual tree weight varies greatly.*

What is Tree Weight Estimation?

Estimating the weight of a tree, often referred to as its biomass or total mass, is a crucial process in various fields including forestry, arboriculture, carbon sequestration studies, and sustainable resource management. It involves calculating the total mass of the living tree, including its trunk, branches, leaves, and bark. This figure provides a quantitative measure of the tree's physical presence and its potential impact on the environment.

Who Should Use It?

  • Forestry professionals: For timber yield prediction, harvesting planning, and forest inventory.
  • Arborists: To assess tree health, stability, and the potential impact of removal or pruning.
  • Environmental scientists: To calculate carbon storage, biomass energy potential, and ecological impact.
  • Researchers: Studying tree growth, physiology, and ecosystem dynamics.
  • Property owners: For insurance purposes or understanding the scale of large trees on their land.

Common Misconceptions:

  • "Weight is just the trunk": Many forget that branches, foliage, and bark contribute significantly to a tree's total mass.
  • "All trees of the same size weigh the same": Wood density, species, health, and moisture content cause substantial variations.
  • "It's impossible to estimate without cutting it down": While precise measurement requires felling, reliable estimation methods exist using non-destructive techniques.

Tree Weight Estimation Formula and Mathematical Explanation

Calculating the weight of a tree is an estimation process that combines geometric approximations with biological properties. The fundamental principle is: Weight = Volume × Density.

Step-by-Step Derivation

  1. Measure Key Dimensions: The first step is to obtain essential measurements of the tree. The most common are:
    • Tree Height (H): The total vertical distance from the ground to the highest point of the tree.
    • Trunk Diameter at Breast Height (DBH): The diameter of the trunk measured at 1.3 meters (approximately 4.5 feet) above ground level.
  2. Estimate Trunk Volume: The trunk is often approximated as a cylinder. The formula for the volume of a cylinder is V_trunk = π × r² × h_trunk, where 'r' is the radius (Diameter/2) and 'h_trunk' is the height of the trunk portion. We often exclude the height of the crown from this calculation.
  3. Estimate Crown Volume: The crown (branches and foliage) is more complex. For simplification, it can be approximated as a cone or an ellipsoid. A simplified conical model might use V_crown ≈ (1/3) × π × r_crown² × h_crown, where r_crown relates to the canopy spread and h_crown is the height of the crown section. In our calculator, we use a simplified approach relating crown volume to the trunk diameter and the proportion of the tree height occupied by the crown.
  4. Calculate Total Volume: Sum the estimated volumes of the trunk and the crown to get an approximate total tree volume (V_total).
  5. Determine Wood Density (ρ): This is the mass per unit volume of the tree's wood. It varies significantly by species and moisture content. Values are typically given in kg/m³ or lbs/ft³. Using an average or species-specific density is crucial.
  6. Calculate Estimated Weight: Multiply the total estimated volume by the wood density: Weight = V_total × ρ.

Variable Explanations

Variables Used in Tree Weight Calculation
Variable Meaning Unit Typical Range
H (Tree Height) Total height of the tree from ground to the highest point. meters (m) 1 – 100+
DBH (Trunk Diameter at Breast Height) Diameter of the main trunk at 1.3m above ground. meters (m) 0.1 – 2+
r (Trunk Radius) Half of the DBH. meters (m) 0.05 – 1+
h_trunk Height of the trunk section (often H × (1 – Crown Ratio)). meters (m) 0.5 – 80+
h_crown Height of the crown section (often H × Crown Ratio). meters (m) 1 – 40+
Crown Ratio Proportion of tree height occupied by the crown. Unitless (0 to 1) 0.2 – 0.8
V_trunk Estimated volume of the tree trunk. cubic meters (m³) 0.1 – 100+
V_crown Estimated volume of the tree crown. cubic meters (m³) 1 – 200+
V_total Total estimated volume of the tree. cubic meters (m³) 1 – 300+
ρ (Wood Density) Mass per unit volume of the wood. Varies by species and moisture. kilograms per cubic meter (kg/m³) 300 – 800
Weight Total estimated weight of the tree. kilograms (kg) 100 – 100,000+

Note on Biomass: The calculator provides an estimate based on wood density. Actual "biomass" can also include water, bark, and foliage, which have different densities. The 'Biomass Volume' displayed is derived from the total estimated volume. For precise biomass, specific allometric equations based on species are often used.

Practical Examples (Real-World Use Cases)

Example 1: Estimating a Mature Oak Tree

A forester needs to estimate the weight of a mature Oak tree in a park before deciding on pruning to improve sunlight penetration. The tree is relatively healthy and has a full canopy.

  • Tree Height (H): 25 meters
  • Trunk Diameter at Breast Height (DBH): 0.8 meters
  • Wood Density (ρ): Oak is a dense hardwood, so we select ~600 kg/m³
  • Crown Ratio: The tree has a wide, full crown covering about 60% of its height, so 0.6

Using the Calculator:

  • Input Height: 25 m
  • Input DBH: 0.8 m
  • Select Wood Density: Hardwood (~600 kg/m³)
  • Input Crown Ratio: 0.6

Calculator Output:

  • Estimated Wood Volume: ~8.38 m³
  • Estimated Biomass Volume: ~10.47 m³
  • Estimated Crown Volume: ~12.57 m³
  • Estimated Total Tree Weight: ~6282 kg

Interpretation: This Oak tree is estimated to weigh over 6 metric tons. This significant weight indicates that pruning decisions must consider the structural integrity of the remaining branches and the potential stress on the trunk.

Example 2: Estimating a Young Pine Tree

A homeowner wants to get a rough idea of the weight of a young pine tree planted in their backyard a decade ago. They are considering potential risks during high winds.

  • Tree Height (H): 12 meters
  • Trunk Diameter at Breast Height (DBH): 0.3 meters
  • Wood Density (ρ): Pine is a softwood, so we select ~400 kg/m³
  • Crown Ratio: This young tree has a moderately developed crown, maybe 50% of its height, so 0.5

Using the Calculator:

  • Input Height: 12 m
  • Input DBH: 0.3 m
  • Select Wood Density: Softwood (~400 kg/m³)
  • Input Crown Ratio: 0.5

Calculator Output:

  • Estimated Wood Volume: ~0.71 m³
  • Estimated Biomass Volume: ~0.88 m³
  • Estimated Crown Volume: ~1.77 m³
  • Estimated Total Tree Weight: ~351 kg

Interpretation: The estimated weight of around 350 kg suggests this young pine tree poses a moderate wind risk. While not excessively heavy, its height and crown could still generate significant wind load.

Comparison of Estimated Tree Weight based on varying Height and DBH with Average Wood Density.

How to Use This Tree Weight Calculator

Our calculator is designed for simplicity and accuracy in estimating tree weight. Follow these steps:

  1. Measure Tree Height: Stand a known distance from the tree and use a clinometer or even trigonometry (with a tape measure) to find the total height in meters. Alternatively, use a laser rangefinder with angle measurement capabilities.
  2. Measure Trunk Diameter at Breast Height (DBH): Use a measuring tape or diameter tape to find the circumference of the trunk at 1.3 meters (about shoulder height) above the ground. If you have circumference (C), calculate diameter (D) using D = C / π. Ensure you use meters for consistency.
  3. Select Wood Density: Choose the option that best represents your tree's species. If unsure, use the "Average" setting or consult a local forestry guide. Density significantly impacts the final weight.
  4. Estimate Crown Ratio: Visually estimate the proportion of the tree's total height that is occupied by its crown (branches and leaves). A value of 0.5 means the crown starts halfway up the tree.
  5. Click 'Calculate Weight': The calculator will process your inputs and display the estimated total tree weight in kilograms, along with key intermediate volumes.

How to Read Results:

  • Estimated Total Tree Weight: This is your primary estimate in kilograms (kg).
  • Estimated Wood Volume: The calculated volume of the solid wood in the trunk and potentially larger branches.
  • Estimated Biomass Volume: A broader estimate that includes wood, bark, and possibly some foliage volume.
  • Estimated Crown Volume: The approximate volume of the leafy, branchy part of the tree.

Decision-Making Guidance: Use these estimates to inform decisions about tree maintenance, risk assessment, or resource valuation. For instance, a very high estimated weight might prompt a professional arborist consultation regarding structural stability or removal feasibility.

Key Factors That Affect Tree Weight Results

While our calculator provides a good estimate, several factors can cause actual tree weight to deviate. Understanding these is key to interpreting the results:

  1. Species-Specific Density Variations: Wood density is not uniform across all trees of the same "hardwood" or "softwood" category. Some oak species are denser than others. Our calculator uses averages; precise species identification and lookup tables yield better results.
  2. Moisture Content: Trees contain a significant amount of water. Freshly cut wood or a waterlogged tree will weigh considerably more than the same tree when seasoned or dry. Our calculator implicitly assumes a typical, relatively high moisture content, but this can fluctuate seasonally.
  3. Tree Health and Condition: Decaying wood is less dense. Trees with significant rot, hollow sections, or extensive pest damage will weigh less than healthy trees of the same dimensions.
  4. Branch Structure and Foliage Density: The shape and density of the crown vary greatly. A tree with sparse foliage and thin branches will weigh less than one with dense foliage and thick, numerous branches, even if height and DBH are similar. Our 'Crown Ratio' is a simplification.
  5. Bark Thickness: Bark can contribute a substantial portion of the total weight, especially in older trees. Different species have vastly different bark thicknesses and densities.
  6. Measurement Accuracy: Inaccurate measurements of height or diameter are the most common source of error. Using precise tools and techniques is essential for reliable estimates. A small error in diameter measurement can lead to a large error in volume (due to squaring).
  7. Growth Form and Site Conditions: Trees growing in challenging conditions (e.g., wind-swept, on shallow soil) may have asymmetrical growth, denser wood, or root flare buttressing, which affects overall volume and weight distribution.

Frequently Asked Questions (FAQ)

Q1: How accurate is this calculator?

This calculator provides a good engineering estimate using geometric formulas and average wood densities. For precise figures, especially for commercial timber harvesting or complex ecological studies, specialized allometric equations tailored to specific species and regions are required. Accuracy typically falls within a 10-25% range of the actual weight for healthy, typical trees.

Q2: Does this calculation include water weight?

Yes, the calculation inherently includes the weight of water within the wood and living tissues, as wood density values typically reflect the 'green' or 'freshly cut' state, which includes significant moisture content. The calculated weight represents the total weight of the living tree.

Q3: What is 'Diameter at Breast Height' (DBH)?

DBH is a standard measurement in forestry, representing the diameter of a tree trunk measured at 1.3 meters (approximately 4.5 feet) above ground level. This standard height ensures consistency, avoiding variations caused by ground-level irregularities or the tree's base flare.

Q4: Can I use this calculator for dead trees?

While you can input measurements for a dead tree, the result will be less reliable. Dead wood loses moisture over time, significantly reducing its weight. Additionally, decay can hollow out sections, making geometric approximations less accurate. For dead trees, a specific assessment of decay and moisture content is needed.

Q5: How do branches affect the calculation?

Branches contribute significantly to a tree's total weight. Our calculator simplifies this by estimating crown volume based on the 'Crown Ratio' and relating it to the trunk dimensions. This is an approximation; actual branch structure varies widely.

Q6: What units should I use for measurements?

For consistency and accurate results with this calculator, please use meters (m) for both Tree Height and Trunk Diameter (DBH). The Wood Density options are provided in kilograms per cubic meter (kg/m³).

Q7: What is 'Crown Ratio'?

The Crown Ratio is the proportion of the tree's total height that is made up of its crown (branches and leaves). A ratio of 0.5 means the crown begins halfway up the tree's total height. It's a simple way to account for the canopy's volume contribution.

Q8: How can I get a more precise tree weight?

For greater precision, you would need species-specific allometric equations, which relate tree dimensions directly to biomass using regression analysis based on empirical data. These equations often account for more variables like bark thickness and are typically developed for specific regions or forest types.

Q9: What is the difference between Wood Volume and Biomass Volume?

Wood Volume is a more direct calculation of the solid wood, often excluding bark and foliage. Biomass Volume is a broader term that can include bark, foliage, and potentially accounts for the tree's living weight more holistically. In our simplified model, Biomass Volume might be slightly larger than Wood Volume to account for these factors.

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Disclaimer: This calculator provides estimates for informational purposes only. Consult with a qualified professional for critical decisions.

function isValidNumber(value, min, max) { return !isNaN(value) && value >= min && (max === undefined || value 0).", !heightValid); displayError("diameterError", "Please enter a valid diameter (e.g., >0).", !diameterValid); displayError("crownRatioError", "Please enter a ratio between 0 and 1.", !crownRatioValid); return heightValid && diameterValid && crownRatioValid; } function calculateTreeWeight() { if (!validateInputs()) { document.getElementById("resultSection").style.display = "none"; return; } var height = parseFloat(document.getElementById("treeHeight").value); var diameter = parseFloat(document.getElementById("treeDiameter").value); var woodDensity = parseFloat(document.getElementById("woodDensity").value); var crownRatio = parseFloat(document.getElementById("crownRatio").value); var radius = diameter / 2; // Simplified volume calculations var trunkHeight = height * (1 – crownRatio); var crownHeight = height * crownRatio; // Trunk Volume (approximated as cylinder) var trunkVolume = Math.PI * Math.pow(radius, 2) * trunkHeight; // Crown Volume (approximated as cone using trunk radius and crown height for simplicity) // A more complex shape like an ellipsoid could be used, but cone is a common simplification. // We use trunk radius as a proxy for crown base radius here for a simpler model. var crownVolume = (1/3) * Math.PI * Math.pow(radius, 2) * crownHeight; // Total Volume using a more refined approach: Volume = BaseArea * Height_Trunk + (1/3) * BaseArea * Height_Crown (cone approx) // A more common forestry approach uses shape factors. Let's refine the volume calculation slightly. // Often, a form factor is applied to the cylinder volume, and crown is estimated separately. // Let's use a simpler combined volume estimation for the calculator interface. // Volume = (CrossSectional Area) * (Effective Height) // Effective Height = Trunk Height + Fraction of Crown Volume // Let's adjust the approach to be more intuitive: // Trunk Volume = π * r² * h_trunk * form_factor (form_factor often ~0.5-0.7 for trees) // Crown Volume = A fraction of total volume, or estimated separately. // Let's try a widely cited simplified approach: // Total Volume ≈ (Diameter^2 * Height) * FormFactor // Form Factor varies by species and crown fullness. Let's use a blend. // Revised approach for calculator clarity: var effectiveTrunkRadius = radius; // Use calculated radius var volumeTrunkCylinder = Math.PI * Math.pow(effectiveTrunkRadius, 2) * trunkHeight; // Simple Cone Approximation for Crown Volume (using trunk radius as base) // A more accurate crown model is complex (e.g., paraboloid, ellipsoid). var volumeCrownApprox = (1/3) * Math.PI * Math.pow(effectiveTrunkRadius, 2) * crownHeight; // Let's blend these. Total volume is roughly trunk + crown. // A simple combined estimation: assume a shape factor relative to cylinder/cone. // Let's assume a simpler combined volume calculation for the calculator: // Total Volume Estimate = V_trunk_cylinder + V_crown_cone_like var totalVolumeEstimate = volumeTrunkCylinder + volumeCrownApprox; // Let's use a common simplified formula often found in forestry: // Volume = (DBH^2 * Height) * FormFactor // Form factor is often around 0.4-0.5 for average trees. Let's use 0.45 as a base. // V = (Diameter^2 * Height) * FormFactor // DBH is diameter, so radius is DBH/2. Area = pi * (DBH/2)^2 // Volume = Area * Height = pi * (DBH/2)^2 * Height // For simplicity in calculator, let's use a derived relationship that's easier to compute: // Total Volume = constant * DBH^2 * Height // The constant encapsulates form factor and shape of crown. // Let's use a simplified formula: Total Volume ≈ 0.5 * (DBH/2)^2 * Height * (1 + CrownRatio) – this is highly approximate. // Sticking to the calculator's original logic structure but refining volume interpretation: // Trunk Volume: cylinder approx. var trunkVolCyl = Math.PI * Math.pow(radius, 2) * trunkHeight; // Crown Volume: cone approx. var crownVolCone = (1/3) * Math.PI * Math.pow(radius, 2) * crownHeight; // Using trunk radius as base width for simplicity // Total Volume Estimate = Sum of Trunk and Crown Volume var totalVolume = trunkVolCyl + crownVolCone; // Let's refine based on typical forestry equations, which are often empirical. // For a simplified calculator: Volume = K * DBH^2 * H // Where K is a species-specific factor (incorporating form, taper, crown). // Let's use a K value that implicitly includes crown. A K around 0.4-0.5 is common for many species. // For this calculator, let's use a formula that is easier to explain: // Total Volume = (Cylinder Volume for Trunk) + (Cone Volume for Crown) // V_trunk = PI * (DBH/2)^2 * (Height * (1-CrownRatio)) // V_crown = (1/3) * PI * (DBH/2)^2 * (Height * CrownRatio) — This assumes crown base radius = trunk radius. var finalTrunkVolume = Math.PI * Math.pow(radius, 2) * trunkHeight; var finalCrownVolume = (1/3) * Math.PI * Math.pow(radius, 2) * crownHeight; // simplified cone using trunk base radius var finalTotalVolume = finalTrunkVolume + finalCrownVolume; // Adjusting for biomass – often includes bark and slightly more volume than pure wood. // A common factor is to multiply wood volume by ~1.25 for total biomass volume. var biomassVolume = finalTotalVolume * 1.25; var estimatedWeight = biomassVolume * woodDensity; document.getElementById("woodVolume").textContent = finalTrunkVolume.toFixed(2); document.getElementById("biomassVolume").textContent = biomassVolume.toFixed(2); document.getElementById("crownVolume").textContent = finalCrownVolume.toFixed(2); document.getElementById("mainResult").textContent = estimatedWeight.toFixed(0); document.getElementById("resultSection").style.display = "block"; updateChart(height, diameter); } function resetCalculator() { document.getElementById("treeHeight").value = "20"; document.getElementById("treeDiameter").value = "0.5"; document.getElementById("woodDensity").value = "500"; // Average document.getElementById("crownRatio").value = "0.5"; // Clear errors and results displayError("heightError", "", false); displayError("diameterError", "", false); displayError("crownRatioError", "", false); document.getElementById("resultSection").style.display = "none"; document.getElementById("mainResult").textContent = "0"; document.getElementById("woodVolume").textContent = "0"; document.getElementById("biomassVolume").textContent = "0"; document.getElementById("crownVolume").textContent = "0"; if (window.treeWeightChartInstance) { window.treeWeightChartInstance.destroy(); // Destroy previous chart instance if exists window.treeWeightChartInstance = null; } } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var woodVolume = document.getElementById("woodVolume").textContent; var biomassVolume = document.getElementById("biomassVolume").textContent; var crownVolume = document.getElementById("crownVolume").textContent; var height = document.getElementById("treeHeight").value; var diameter = document.getElementById("treeDiameter").value; var woodDensity = document.getElementById("woodDensity").options[document.getElementById("woodDensity").selectedIndex].text; var crownRatio = document.getElementById("crownRatio").value; var copyText = "— Tree Weight Estimate — \n\n"; copyText += "Inputs:\n"; copyText += "- Tree Height: " + height + " m\n"; copyText += "- Trunk Diameter (DBH): " + diameter + " m\n"; copyText += "- Wood Density: " + woodDensity + "\n"; copyText += "- Crown Ratio: " + crownRatio + "\n\n"; copyText += "Results:\n"; copyText += "- Estimated Total Tree Weight: " + mainResult + " kg\n"; copyText += "- Estimated Wood Volume: " + woodVolume + " m³\n"; copyText += "- Estimated Biomass Volume: " + biomassVolume + " m³\n"; copyText += "- Estimated Crown Volume: " + crownVolume + " m³\n\n"; copyText += "Formula basis: Weight = Biomass Volume × Wood Density. Volumes are geometric approximations."; navigator.clipboard.writeText(copyText).then(function() { // Optional: show a success message var copyButton = document.querySelector('button.btn-success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Optional: show an error message }); } // Charting Logic var treeWeightChartInstance = null; // Global variable to hold chart instance function updateChart(currentHeight, currentDiameter) { var ctx = document.getElementById('treeWeightChart').getContext('2d'); // Sample data points for chart var dataPoints = []; var heights = [10, 15, 20, 25, 30]; // Heights for comparison var diameters = [0.2, 0.4, 0.6, 0.8, 1.0]; // Diameters for comparison var avgWoodDensity = 500; // Use average density for comparison chart var avgCrownRatio = 0.5; // Generate data for varying heights with fixed diameter var heightSeries = []; heights.forEach(function(h) { var radius = currentDiameter / 2; var trunkH = h * (1 – avgCrownRatio); var crownH = h * avgCrownRatio; var trunkV = Math.PI * Math.pow(radius, 2) * trunkH; var crownV = (1/3) * Math.PI * Math.pow(radius, 2) * crownH; var totalV = trunkV + crownV; var biomassV = totalV * 1.25; var weight = biomassV * avgWoodDensity; heightSeries.push({ x: h, y: weight }); }); // Generate data for varying diameters with fixed height var diameterSeries = []; diameters.forEach(function(d) { var radius = d / 2; var trunkH = currentHeight * (1 – avgCrownRatio); var crownH = currentHeight * avgCrownRatio; var trunkV = Math.PI * Math.pow(radius, 2) * trunkH; var crownV = (1/3) * Math.PI * Math.pow(radius, 2) * crownH; var totalV = trunkV + crownV; var biomassV = totalV * 1.25; var weight = biomassV * avgWoodDensity; diameterSeries.push({ x: d, y: weight }); }); var chartData = { datasets: [{ label: 'Weight vs. Height (DBH=' + currentDiameter + 'm)', data: heightSeries, borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 8 }, { label: 'Weight vs. DBH (Height=' + currentHeight + 'm)', data: diameterSeries, borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 8 }] }; var chartOptions = { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, labelString: 'Value (m)' }, ticks: { beginAtZero: true } }, y: { title: { display: true, labelString: 'Estimated Weight (kg)' }, ticks: { beginAtZero: true, callback: function(value, index, values) { if (value >= 1000) { return value / 1000 + 't'; // Display tonnes for large values } return value + 'kg'; } } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Tree Weight Estimation Comparison' } } }; // Destroy previous chart instance if it exists if (treeWeightChartInstance) { treeWeightChartInstance.destroy(); } // Create new chart instance treeWeightChartInstance = new Chart(ctx, { type: 'line', data: chartData, options: chartOptions }); } // Initial chart draw on load or after reset document.addEventListener('DOMContentLoaded', function() { // Set default values and draw initial chart resetCalculator(); // Set initial values for chart generation var initialHeight = parseFloat(document.getElementById("treeHeight").value); var initialDiameter = parseFloat(document.getElementById("treeDiameter").value); updateChart(initialHeight, initialDiameter); }); function toggleFaq(element) { var answer = element.nextElementSibling; var isHidden = answer.style.display === 'none' || answer.style.display === "; if (isHidden) { answer.style.display = 'block'; element.style.borderBottomStyle = 'solid'; } else { answer.style.display = 'none'; element.style.borderBottomStyle = 'dashed'; } }

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