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Leaf Nutrient Resorption Efficiency is Related to Leaf Economic Spectrum But Not Root Economic Spectrum in a Tropical Mangrove Forest

Authors: Dalong Jiang; Tao Nie; Qiuyu He; Zuo Xu; Erhui Feng; Yali Guan;

Leaf Nutrient Resorption Efficiency is Related to Leaf Economic Spectrum But Not Root Economic Spectrum in a Tropical Mangrove Forest

Abstract

not-yet-known not-yet-known not-yet-known unknown Leaf nutrient resorption efficiency (NuRE) serves as a metric for delineating plant strategies that range from ‘slow-fast’ performance to conservative-acquisitive resource management. However, the relationships between the interspecific variations in NuRE and the economic traits of both leaves and roots remain unclear. In this study, we gathered both green and senesced leaves to explore mass-based nitrogen (N) and phosphorus (P) concentrations, as well as leaf structural investment and root economic traits, across 10 tree and shrub species within mangrove ecosystems in Hainan, China. This study challenges the initial hypothesis by revealing that species with low leaf structural investment, indicated by low leaf mass per area and leaf dry matter content, exhibit high N and P resorption efficiency. These findings suggest that plants with less investment in the leaf structure are more efficient at resorbing nutrients. Contrary to expectations, root economic traits such as specific root length, root nitrogen content, root diameter, and root tissue density did not significantly influence NuRE. These findings indicate that above-ground nutrient conservation mechanisms may function independently of root foraging traits. This study highlights mangroves’ key role in nutrient recycling, enhancing our grasp of plant dynamics and their impact on global cycles, especially in coastal areas.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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