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Dryad

Divergent nitrogen and phosphorus allocation strategies in terrestrial plant leaves and fine roots: a global meta-analysis

Cite this dataset

Wang, Zhiqiang et al. (2022). Divergent nitrogen and phosphorus allocation strategies in terrestrial plant leaves and fine roots: a global meta-analysis [Dataset]. Dryad. https://doi.org/10.5061/dryad.gf1vhhmsr

Abstract

The quantification of the allocation of nitrogen (N) and phosphorus (P) among plant organs is essential to improve our understanding of plant growth, life-history strategies, and ecosystem nutrient and energy cycles. However, allocation strategies of N and P between terrestrial plant leaves and fine roots are unclear.

Here, we compiled a global dataset comprising 807 terrestrial plant species to analyze the stoichiometric scaling of N and P between leaves and fine roots across species, families, plant groups, biomes, and locations.

We found that N and P, and N:P ratios manifest different scaling exponents (α-values) between leaves and fine roots. Specifically, overall αN and αP were >1 and <1, respectively, and αN:P = 1, indicating a higher proportional increase of N to fine roots and P to leaves. However, there were differences in αN, αP, and αN:P among major species, families, plant groups, biomes, and locations. In addition, αN and αN:P increased with latitude; there was no clear trend for αP. Mean annual temperature accounted for the greatest proportion of variation in αN, whereas soil total P accounted for the greatest proportion of variation in αP and αN:P.

Synthesis. Our results demonstrate a divergent N and P allocation strategy between leaves and fine roots in terrestrial plants. This study improves our understanding of the effects of the environment (including changes in global climate, and life history strategies) on nutrient allocation patterns between these two important plant organs.

Funding

European Research Council Synergy project, Award: SyG-2013-610028 IMBALANCE-P

Catalan Government grant, Award: AGAUR-2020PANDE00117

Spanish Government grant*, Award: PID2019-110521GB-I00

National Natural Science Foundation of China, Award: 31822010

Catalan Government grant, Award: SGR 2017-1005