Experimental study reveals higher nutrient availability boosts photosynthetic capacity without altering water-use efficiency in plants, highlighting gaps in climate-only optimality models.
Eco-evolutionary optimality (EEO) theory predicts that plants maximize resource investment in photosynthetic capacity at the lowest costs of acquiring and using such resources. However, current EEO-based models predict photosynthetic capacity based on climate alone, and omit costs for resource acquisition. To explore the link between leaf-level optimality and plant-level nitrogen acquisition costs across different soil environments, we grew two commonly co-occurring species in a greenhouse under three nutrient fertilization levels in sand and two natural soils with matching nutrient availability to the fertilization levels in sand. At the end of the experiment, we measured the maximum rate of Rubisco carboxylation (Vcmax), δ¹³C-derived leaf-to-air CO2 partial pressure ratio (ci/ca), and structural carbon costs for nitrogen acquisition. Increasing nutrient availability increased Vcmax (P < .001) and decreased carbon costs for nitrogen acquisition (P < .001), similarly in sand and natural soils (P > .1 for both). Yet, the leaf ci/ca remained unchanged across treatments in sand (P = .426) and natural soils (P = .499), consistent with the current EEO-models assumption of climate-dependent optimality. These findings support the general principle that nutrient scarcity increases acquisition costs, while also highlighting a gap in current model formulations that neglect nutrient effects on photosynthetic acclimation.
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Lankhorst et al. (2025) studied this question.
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