Journal
GLOBAL CHANGE BIOLOGY
Volume 29, Issue 3, Pages 856-873Publisher
WILEY
DOI: 10.1111/gcb.16501
Keywords
Australia; least-cost theory of photosynthesis; nutrient-use efficiency; optimality theory; plant functional traits; soil nutrients; soil phosphorus; trait coordination; water-use efficiency
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This study investigated the dependency of photosynthetic traits on climate and soil properties, and found that soil properties play a significant role in explaining the variation in photosynthetic traits. The results suggest that soil properties, along with climate, contribute to the understanding of resource costs and use in plants.
Least-cost theory posits that C-3 plants should balance rates of photosynthetic water loss and carboxylation in relation to the relative acquisition and maintenance costs of resources required for these activities. Here we investigated the dependency of photosynthetic traits on climate and soil properties using a new Australia-wide trait dataset spanning 528 species from 67 sites. We tested the hypotheses that plants on relatively cold or dry sites, or on relatively more fertile sites, would typically operate at greater CO2 drawdown (lower ratio of leaf internal to ambient CO2, C-i:C-a) during light-saturated photosynthesis, and at higher leaf N per area (N-area) and higher carboxylation capacity (V-cmax 25) for a given rate of stomatal conductance to water vapour, g(sw). These results would be indicative of plants having relatively higher water costs than nutrient costs. In general, our hypotheses were supported. Soil total phosphorus (P) concentration and (more weakly) soil pH exerted positive effects on the N-area-g(sw) and V-cmax 25-g(sw) slopes, and negative effects on C-i:C-a. The P effect strengthened when the effect of climate was removed via partial regression. We observed similar trends with increasing soil cation exchange capacity and clay content, which affect soil nutrient availability, and found that soil properties explained similar amounts of variation in the focal traits as climate did. Although climate typically explained more trait variation than soil did, together they explained up to 52% of variation in the slope relationships and soil properties explained up to 30% of the variation in individual traits. Soils influenced photosynthetic traits as well as their coordination. In particular, the influence of soil P likely reflects the Australia's geologically ancient low-relief landscapes with highly leached soils. Least-cost theory provides a valuable framework for understanding trade-offs between resource costs and use in plants, including limiting soil nutrients.
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