Leaf Nutrient Resorption Efficiency Aligns with the Leaf but Not Root Economic Spectrum in a Tropical Mangrove Forest

Leaf nutrient resorption efficiency (NuRE) is critical for plant nutrient conservation, yet its relationship with leaf and root economic traits remains poorly understood in mangroves. We quantified nitrogen (N) and phosphorus (P) resorption across ten mangrove species (five trees and five shrubs) in Hainan, China, and related NuRE to key leaf (leaf mass per area, LMA; leaf dry mass content, LDMC; and green leaf nitrogen and phosphorus contents, N<sub>gr</sub> and P<sub>gr</sub>, respectively) and root (specific root length, SRL; root tissue density, RTD; root diameter, RD; and root nitrogen content, N<sub>root</sub>) traits. We found that species with a lower leaf structural investment (LMA = 103-173 g m<sup>-2</sup>, LDMC = 19-27%) presented a 6-45% greater N and P resorption efficiency than those with a higher structural investment (LMA = 213-219 g m<sup>-2</sup>, LDMC = 26-31%). Contrary to global meta-analyses, higher green leaf N and P contents also predicted a greater NuRE, implying enhanced internal recycling under chronic nutrient limitation. Root traits (SRL, RTD, RD, and N<sub>root</sub>) had no significant influence on NuRE, indicating decoupled above- versus belowground strategies. Trees and shrubs diverged in size but converged in NuRE-leaf trait relationships. These findings refine plant economics theory and guide restoration by prioritizing species with acquisitive, high-NuRE foliage for nutrient-poor coasts.

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Journal
Plants
Published
2025-08-22
DOI
https://doi.org/10.3390/plants14172610
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
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0.00

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article

Leaf Nutrient Resorption Efficiency Aligns with the Leaf but Not Root Economic Spectrum in a Tropical Mangrove Forest

Josep Peñuelas, Erhui Feng, Dalong Jiang, Han Y. H. Chen et al.
Plants
Conservation, Biodiversity, and Resource Management
article

Leaf Nutrient Resorption Efficiency Aligns with the Leaf but Not Root Economic Spectrum in a Tropical Mangrove Forest

Josep Peñuelas, Erhui Feng, Dalong Jiang, Han Y. H. Chen, Xu Zuo, Qiuyu He, Tao Nie
article en

Abstract

Leaf nutrient resorption efficiency (NuRE) is critical for plant nutrient conservation, yet its relationship with leaf and root economic traits remains poorly understood in mangroves. We quantified nitrogen (N) and phosphorus (P) resorption across ten mangrove species (five trees and five shrubs) in Hainan, China, and related NuRE to key leaf (leaf mass per area, LMA; leaf dry mass content, LDMC; and green leaf nitrogen and phosphorus contents, N<sub>gr</sub> and P<sub>gr</sub>, respectively) and root (specific root length, SRL; root tissue density, RTD; root diameter, RD; and root nitrogen content, N<sub>root</sub>) traits. We found that species with a lower leaf structural investment (LMA = 103-173 g m<sup>-2</sup>, LDMC = 19-27%) presented a 6-45% greater N and P resorption efficiency than those with a higher structural investment (LMA = 213-219 g m<sup>-2</sup>, LDMC = 26-31%). Contrary to global meta-analyses, higher green leaf N and P contents also predicted a greater NuRE, implying enhanced internal recycling under chronic nutrient limitation. Root traits (SRL, RTD, RD, and N<sub>root</sub>) had no significant influence on NuRE, indicating decoupled above- versus belowground strategies. Trees and shrubs diverged in size but converged in NuRE-leaf trait relationships. These findings refine plant economics theory and guide restoration by prioritizing species with acquisitive, high-NuRE foliage for nutrient-poor coasts.

PlantsVol. 14(17)
Hainan Normal University (CN), Sustainability Institute (ZA), Fanjingshan National Nature Reserve (CN), Centre for Research on Ecology and Forestry Applications (ES), Institute for Social Research (NO), Global Ecology Unit CREAF-CSIC-UAB, Lakehead University (CA)
National Natural Science Foundation of China, Hainan Normal University
Openalex Percentile: Top 79%
Conservation, Biodiversity, and Resource Management
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