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Craig ME, Walker AP, Iversen CM, Knox RG, Yaffar D, York LM. Tree root nutrient uptake kinetics vary with nutrient availability, environmental conditions, and root traits: a global analysis. THE NEW PHYTOLOGIST 2025; 246:2495-2505. [PMID: 40296682 DOI: 10.1111/nph.70140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Accepted: 03/19/2025] [Indexed: 04/30/2025]
Abstract
Root nutrient uptake by trees is a critical process that couples carbon and nutrient cycling in forest ecosystems. Yet, root nutrient uptake traits are poorly constrained, and the dynamics of this process are often not represented in models reflecting sparse measurements and understanding of root nutrient uptake physiology that lags those of aboveground physiology in forest ecosystems. Here, we present a global dataset of published nutrient uptake capacity and affinity values for tree species, with the goal of describing global patterns and evaluating responses to environmental drivers and associations with root traits. The dataset contains observations for ammonium, nitrate, and phosphate uptake spanning 77 tree species. Nutrient uptake capacity and affinity varied by more than an order of magnitude for each nutrient. Notably, tropical forests are underrepresented in these observations. Nutrient uptake capacity was generally diminished under nutrient enrichment but enhanced with soil warming and root-mycorrhizal colonization. The magnitude and direction of these effects can depend on the duration of exposure to a given treatment. Species with thinner roots had a tendency toward greater uptake capacity and affinity. Overall, root nutrient uptake traits are highly variable across tree species, yet they depend on environmental drivers and life-history strategies.
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Affiliation(s)
- Matthew E Craig
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Anthony P Walker
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Colleen M Iversen
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Ryan G Knox
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Daniela Yaffar
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Larry M York
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
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Li S, Jiang T, Ahmed W, Yang Y, Yang L, Zhang T, Mei F, Alharbi SA, Shan Q, Guo C, Zhao Z. Deciphering the impact of nitrogen morphologies distribution on nitrogen and biomass accumulation in tobacco plants. FRONTIERS IN PLANT SCIENCE 2024; 15:1377364. [PMID: 39011300 PMCID: PMC11246850 DOI: 10.3389/fpls.2024.1377364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 06/10/2024] [Indexed: 07/17/2024]
Abstract
Background and aims Nitrogen (N) distribution in plants is intricately linked to key physiological functions, including respiration, photosynthesis, structural development, and nitrogen storage. However, the specific effects of different N morphologies on N accumulation and plant growth are poorly understood. Our research specifically focused on determining how different N morphologies affect N absorption and biomass accumulation. Methods This study elucidated the impact of different application rates (CK: 0 g N/plant; T1: 4 g N/plant; T2: 8 g N/plant) of N fertilizer on N and biomass accumulation in tobacco cultivars Hongda and K326 at different growth stages. Results Our findings emphasize the critical role of N distribution in various plant parts, including leaves, stems, and roots, in determining the complex mechanisms of N and biomass accumulation in tobacco. We found that in relation to total N, a greater ratio of water-soluble N (N w) in leaves facilitated N accumulation in leaves. In contrast, an increased ratio of SDS (detergent)-insoluble N (N in-SDS) in leaves and non-protein N (N np) in roots hindered this increase. Additionally, our results indicate that a greater proportion of N np in leaves has a negative impact on biomass accumulation in leaves. Furthermore, elevated levels of N in-SDS, N w, and N np in roots, and N np in leaves adversely affected biomass accumulation in tobacco leaves. The Hongda cultivar exhibited greater biomass and N accumulation abilities as compared to K326. Conclusions Our findings highlight the significant role of distribution of N morphologies on plant growth, as well as N and biomass accumulation in tobacco plants. Understanding N distribution allows farmers to optimize N application, minimizing environmental losses and maximizing yield for specific cultivars. These insights advance sustainable agriculture by promoting efficient resource use and reducing environmental impact.
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Affiliation(s)
- Shichen Li
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Tao Jiang
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Waqar Ahmed
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yingfen Yang
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Linyuan Yang
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Tao Zhang
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Fupeng Mei
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Sulaiman Ali Alharbi
- Department of Botany & Microbiology College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Qu Shan
- Yunnan Agricultural University, Kunming, Yunnan, China
| | - Cuilian Guo
- Yunnan Agricultural University, Kunming, Yunnan, China
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Zhang J, Lin G, Zeng DH. Long-term nitrogen addition modifies fine root growth and vertical distribution by affecting soil nutrient availability in a Mongolian pine plantation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:171168. [PMID: 38401734 DOI: 10.1016/j.scitotenv.2024.171168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 02/26/2024]
Abstract
Fine roots are the primary organ of tree species in water and nutrient acquisition, and are the major contributor of forest soil organic carbon (C). However, it remains largely unknown how fine root growth dynamics and vertical distribution respond to long-term nitrogen (N) enrichment, which prevents us from accurately evaluating forest C sequestration potential under N deposition. Here, we investigated the effects of nine-year N addition (0 and 10 g N m-2 year-1) on fine root nutrients, biomass, production, turnover rate and vertical distribution in three soil layers (0-10, 10-20 and 20-40 cm) of a Mongolian pine (Pinus sylvestris var. mongolica) plantation in the Keerqin Sandy Lands, Northeast China. We found that soil inorganic N was increased and Olsen-P was decreased by N addition. N addition increased fine root N, C:P and N:P ratios, but reduced fine root P and C:N ratio across all soil layers. N addition reduced fine root biomass in 0-10 cm soil layer but increased it in 20-40 cm soil layer. N addition accelerated fine root turnover rate in 0-10 cm soil layer, and increased fine root necromass across all soil layers. Moreover, N addition significantly enhanced biomass of ectomycorrhizal extraradical hyphae in the 0-10 cm soil layer. Redundancy analysis showed that variations of fine root traits were well explained by soil NO3--N in 0-10 and 10-20 cm soil layers, and by soil NH4+-N and Olsen-P in 20-40 cm soil layer. Collectively, our results highlight the shift from N limitation to P limitation of Mongolian pine plantations under long-term N addition, and suggest that changes in fine root growth and vertical distribution induced by N addition could accelerate belowground C allocation in Mongolian pine plantations.
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Affiliation(s)
- Jingling Zhang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guigang Lin
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China; Northeast Asia Ecosystem Carbon Sink Research Center, School of Forestry, Northeast Forestry University, Harbin 150040, China.
| | - De-Hui Zeng
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; Daqinggou Ecological Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
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Gao Y, Wang H, Yang F, Dai X, Meng S, Hu M, Kou L, Fu X. Relationships between root exudation and root morphological and architectural traits vary with growing season. TREE PHYSIOLOGY 2024; 44:tpad118. [PMID: 37738586 PMCID: PMC10849755 DOI: 10.1093/treephys/tpad118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 09/07/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023]
Abstract
Plants allocate a substantial amount of C belowground for root exudates and for the construction and adjustment of root morphological and architectural traits. What relationships exist between root exudates and other root traits and these relationships change with growing season, however, remain unclear. We quantified the root exudation rate and root morphological traits, including total root length (RL), total root surface area (RS), root diameter (RD), specific root length (SRL), specific root area (SRA) and root tissue density (RTD), and architectural traits, such as branching intensity (BI), and investigated their associations during the rapidly growing season (April and August) and the slowly growing season (December) of three common native tree species, Liquidambar formosana, Michelia maudiae and Schima superba, in subtropical China. We found that the linkages of RD, SRL, SRA, RTD and BI did not change with the growing season, reflecting their highly conservative relationships. The root exudation rate varied significantly with growing season (P < 0.05) and produced various associations with other root traits at different growing seasons. During the rapidly growing season (i.e., April), the exudation rate was the highest and was positively correlated with RL. The exudation rate was the lowest during the slowly growing season (i.e., December) and was negatively associated with RL, RS and RTD. Our findings demonstrate the seasonality of the linkages of root exudation rate with other root traits, which highlights the highly plastic and complex associations of belowground root traits. These findings help to deepen our understanding of plant nutrient acquisition strategies.
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Affiliation(s)
- Yuqiu Gao
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- School of Water Conservancy and Environment, University of Jinan, No. 336 West Nanxinzhuang Road, Shizhong District, Jinan 250022, China
| | - Huimin Wang
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Fengting Yang
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Xiaoqin Dai
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Shengwang Meng
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Mingyuan Hu
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Liang Kou
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
| | - Xiaoli Fu
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
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