Biomass Partitioning Calculators
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Root-to-Shoot Ratio (R:S)
R:S = root dry mass / shoot dry mass
Typical values: well-watered, nutrient-sufficient seedlings: R:S ≈ 0.2–0.5. Nitrogen-deficient plants: R:S increases to 1.0–2.0 (more root investment to scavenge N). Drought-stressed plants: R:S increases. Shade-grown plants: R:S decreases (more investment in leaf area). Crop plants at harvest: R:S typically 0.1–0.3 (above-ground harvest maximized).
Leaf Mass Fraction (LMF) and LAR
LMF = leaf dry mass / total plant dry mass. Typical range: 0.3–0.7 in seedlings. LAR (leaf area ratio) = SLA × LMF. High LMF → high LAR → high RGR (in well-lit conditions). Under shade: LMF increases + SLA increases → high LAR for light capture.
Optimal Allocation Theory
Plants allocate more biomass to the organ acquiring the most limiting resource: light limited → more leaf investment; nutrient limited → more root investment; water limited → more root investment; no limitation → allocation near a species-specific baseline. This functional equilibrium model predicts allocation shifts under environmental change.
Carbon Allocation in Whole Trees
Tree carbon allocation: foliage typically 2–5% of total biomass; fine roots 10–30%; coarse roots 15–25%; stem and branches 50–70%. Fine root turnover can account for 30–50% of annual net primary productivity — often the largest single carbon flux in forest ecosystems.
Glossary
Frequently Asked Questions
Biomass partitioning describes how plants allocate photosynthetically fixed carbon among organs (roots, leaves, stems, reproductive structures). It determines growth efficiency and resource acquisition capacity. A plant allocating more to roots can acquire more water and nutrients; more to leaves captures more light. Allocation is environmentally plastic — shifts in allocation reveal plant responses to stress. For crop modeling, allocation parameters determine how much biomass goes to the harvested organ (harvest index). Understanding allocation is also critical for predicting how warming, drought, or elevated CO₂ will affect terrestrial carbon cycling.
Nutrient stress (especially nitrogen deficiency) increases root:shoot ratio. When N is limiting, roots are the organs acquiring the limiting resource — optimal allocation theory predicts increased root investment to maximize N uptake. In N-deficient plants, R:S can increase 2–4× compared to N-sufficient plants. Under P deficiency: similar increase in root allocation plus production of cluster roots (dense root clusters maximizing P uptake surface). Under adequate nutrients: optimal allocation shifts toward leaf area (acquiring the then-limiting light and CO₂). These predictable responses to resource limitation are the basis of the functional equilibrium model of allocation.
Harvest index (HI) = harvested organ mass / total above-ground dry mass. It measures the fraction of plant biomass converted to economically useful product. Typical HI values: wheat grain = 0.45–0.55; soybean grain = 0.40–0.50; maize grain = 0.45–0.55; potato tuber = 0.70–0.85. The Green Revolution dramatically increased HI of cereal crops (from ~0.30 to ~0.50) by breeding semi-dwarf varieties with stronger stems and less straw relative to grain — a key driver of yield increases. Further HI improvement is constrained by structural requirements of the plant.
Under shade, plants respond by: decreasing root:shoot ratio (less allocation to roots because below-ground resources are not limiting); increasing leaf mass fraction and SLA (produce more, thinner leaves to maximize light interception per unit carbon invested); reducing stem:leaf ratio in some species; elongating stems (shade avoidance response driven by phytochrome). These responses maximize carbon gain in low-light environments. Shade-tolerant species (understory plants) maintain positive carbon balance at very low light compensation points through high SLA and low respiration rates. Shade-intolerant (pioneer) species cannot reduce respiration enough and die under deep shade.