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Wang Y, Wu H, Wang J, Mu L, Li Z. Leaf and Root Functional Traits of Woody and Herbaceous Halophytes and Their Adaptations in the Yellow River Delta. PLANTS (BASEL, SWITZERLAND) 2025; 14:159. [PMID: 39861513 PMCID: PMC11768499 DOI: 10.3390/plants14020159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Revised: 12/31/2024] [Accepted: 01/03/2025] [Indexed: 01/27/2025]
Abstract
Leaves and roots perform assimilation, supporting plant growth and functionality. The variations in their functional traits reflect adaptive responses to environmental conditions, yet limited information is available regarding these trait variations and their coordination in saline environments. In this study, 18 common woody and herbaceous halophyte species from the Yellow River Delta were collected, and their leaf and root functional traits were assessed and compared. Our results showed that, compared with herbaceous species, woody species had greater root diameter, cortex thickness, and stele diameter, but lower specific root length and leaf area. Meanwhile, root diameter was strongly correlated with cortex thickness and stele diameter; leaf thickness was also tightly related with palisade tissue thickness. However, fewer correlations were found between paired leaf and root traits in either herbaceous or woody species, indicating that the variations in leaves and roots appeared relatively independent, which might be related to the different abiotic environmental conditions experienced by above- and belowground organs. These results highlight that woody species tended to be more conservative in resource acquisition and establishment; meanwhile, the herbaceous ones were acquisitive. Such patterns show the contrasting survival strategies of different plant taxa, which also provide valuable insights for future vegetation restoration efforts in this salinized region.
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Affiliation(s)
- Yan Wang
- State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, College of Forestry, Shandong Agricultural University, Tai’an 271000, China;
| | - Hao Wu
- School of Forestry, Northeast Forestry University, Harbin 150040, China
| | - Jian Wang
- Chaoyang Ecological Environment Affairs Service Center, Chaoyang 122000, China
| | - Liqiang Mu
- School of Forestry, Northeast Forestry University, Harbin 150040, China
| | - Zhongyue Li
- State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, College of Forestry, Shandong Agricultural University, Tai’an 271000, China;
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Tan J, Wu X, Wang L, Wu N, Yang H, Ruan S, Qi Y. Easily overlooked petiole traits are key factors that affect soil carbon sequestration in plantations in karst areas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175298. [PMID: 39111420 DOI: 10.1016/j.scitotenv.2024.175298] [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: 04/25/2024] [Revised: 06/19/2024] [Accepted: 08/03/2024] [Indexed: 08/16/2024]
Abstract
Vegetation restoration in karst areas has shifted from expanding planting areas to the collective enhancement of various ecological functions, especially carbon sequestration. Identifying and regulating key plant functional traits involved in the carbon cycle is an effective approach to increase carbon sequestration. However, reports on the significant contribution of petiole traits to the carbon cycle are scarce. Eucalyptus globulus and Bauhinia purpurea plantations in Liujiang river basin were investigated in this study. Petiole traits, understory characteristics, and soil organic carbon have been measured. The aim is to explore key effect of petiole traits for increasing soil carbon sequestration and to provide scientific evidence for the high-quality development of plantations in karst areas. The results indicate that in Eucalyptus globulus plantations, when the understory vegetation coverage is below 50 %, petioles tend to elongate rather than thicken, leading to an increase in specific petiole length. In Bauhinia purpurea plantations, petioles consistently tend to increase diameter. However, when specific leaf area decreases, specific petiole length increases. In both plantations, an increase in specific petiole length accelerates leaf shedding. It leads to increased litter accumulation so that soil carbon content increases. In Eucalyptus globulus plantations, to enhance soil carbon sequestration as an ecological goal, it is recommended to keep the soil total nitrogen below 1.20 mg/g, to control understory vegetation coverage below 50 %, and to limit the extension of Bidens pilosa. In Bauhinia purpurea plantations, within 100 m of altitude, the soil total nitrogen can be controlled below 1.00 mg/g to increase soil organic carbon from large leaf shedding due to the increase of specific petiole length. At lower altitudes, increasing soil total nitrogen can enhance understory vegetation coverage, allowing soil organic carbon to originate from both leaf shedding and understory vegetation residues.
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Affiliation(s)
- Jin Tan
- School of Soil and Water Conservation, Beijing Forestry University, 100083 Beijing, China; College of Water Conservancy, Yunnan Agricultural University, Kunming 650201, Yunnan, China
| | - Xiuqin Wu
- School of Soil and Water Conservation, Beijing Forestry University, 100083 Beijing, China.
| | - Lei Wang
- School of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China
| | - Nan Wu
- School of Soil and Water Conservation, Beijing Forestry University, 100083 Beijing, China
| | - Hui Yang
- Key Laboratory of Karst Dynamics, MNR and GZAR, Institute of Karst Geology, CAGS, Guilin 541004, China
| | - Shiqiao Ruan
- Guangxi Institute of Science and Technology Development Co., Ltd, China
| | - Yuchuan Qi
- Guangxi Institute of Science and Technology Development Co., Ltd, China
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Zheng S, Wei S, Li J, Wang J, Deng Z, Gu R, Fan S, Liu G. The Phenotypic Variation in Moso Bamboo and the Selection of Key Traits. PLANTS (BASEL, SWITZERLAND) 2024; 13:1625. [PMID: 38931057 PMCID: PMC11207448 DOI: 10.3390/plants13121625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/06/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
This research aimed to explore the diverse phenotypic characteristics of moso bamboo in China and pinpoint essential characteristics of moso bamboo. In this study, 63 grids were selected using the grid method to investigate 28 phenotypic traits of moso bamboo across the entire distribution area of China. The results suggest that the phenotypic traits of moso bamboo exhibit rich diversity, with coefficients of variation ranging from 5.87% to 36.57%. The phenotypic traits of moso bamboo showed varying degrees of correlation. A principal component analysis was used to identify seven main phenotypic trait indicators: diameter at breast height (DBH), leaf area (LA), leaf weight (LW), branch-to-leaf ratio (BLr), leaf moisture content (Lmc), wall-to-cavity ratio (WCr), and node length at breast height (LN), which accounted for 81.64% of the total information. A random forest model was used, which gave good results to validate the results. The average combined phenotypic trait value (D-value) of most germplasm was 0.563. The highest D-value was found in Wuyi 1 moso in Fujian (0.803), while the lowest D-value was observed in Pingle 2 moso in Guangxi (0.317). The clustering analysis of phenotypic traits classified China's moso bamboo germplasm into four groups. Group I had the highest D-value and is an important candidate germplasm for excellent germplasm screening.
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Affiliation(s)
- Shihui Zheng
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
- Yunnan Diannan Bamboo Forest Ecosystem Research Station, Cangyuan County, Lincang 677400, China
| | - Songpo Wei
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
- Yunnan Diannan Bamboo Forest Ecosystem Research Station, Cangyuan County, Lincang 677400, China
| | - Jiarui Li
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
| | - Jingsheng Wang
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
| | - Ziyun Deng
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
| | - Rui Gu
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
| | - Shaohui Fan
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
| | - Guanglu Liu
- International Centre for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing 100102, China; (S.Z.); (S.W.); (J.L.); (J.W.); (Z.D.); (R.G.); (S.F.)
- Yunnan Diannan Bamboo Forest Ecosystem Research Station, Cangyuan County, Lincang 677400, China
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Zhang X, Chen X, Ji Y, Wang R, Gao J. Forest Age Drives the Resource Utilization Indicators of Trees in Planted and Natural Forests in China. PLANTS (BASEL, SWITZERLAND) 2024; 13:806. [PMID: 38592834 PMCID: PMC10976008 DOI: 10.3390/plants13060806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/24/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
Specific leaf area (SLA) and leaf dry matter content (LDMC) are key leaf functional traits commonly used to reflect tree resource utilization strategies and predict forest ecosystem responses to environmental changes. Previous research on tree resource utilization strategies (SLA and LDMC) primarily focused on the species level within limited spatial scales, making it crucial to quantify the spatial variability and driving factors of these strategies. Whether there are discrepancies in resource utilization strategies between trees in planted and natural forests, and the dominant factors and mechanisms influencing them, remain unclear. This study, based on field surveys and the literature from 2008 to 2020 covering 263 planted and 434 natural forests in China, using generalized additive models (GAMs) and structural equation models (SEMs), analyzes the spatial differences and dominant factors in tree resource utilization strategies between planted and natural forests. The results show that the SLA of planted forests is significantly higher than that of natural forests (p < 0.01), and LDMC is significantly lower (p < 0.0001), indicating a "faster investment-return" resource utilization strategy. As the mean annual high temperature (MAHT) and mean annual precipitation (MAP) steadily rise, trees have adapted their resource utilization strategies, transitioning from a "conservative" survival tactic to a "rapid investment-return" model. Compared to natural forests, planted forest trees exhibit stronger environmental plasticity and greater variability with forest age in their resource utilization strategies. Overall, forest age is the dominant factor influencing resource utilization strategies in both planted and natural forests, having a far greater direct impact than climatic factors (temperature, precipitation, and sunlight) and soil nutrient factors. Additionally, as forest age increases, both planted and natural forests show an increase in SLA and a decrease in LDMC, indicating a gradual shift towards more efficient resource utilization strategies.
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Affiliation(s)
- Xing Zhang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China; (X.Z.); (X.C.); (Y.J.)
| | - Xiaohong Chen
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China; (X.Z.); (X.C.); (Y.J.)
| | - Yuhui Ji
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China; (X.Z.); (X.C.); (Y.J.)
| | - Ru Wang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China; (X.Z.); (X.C.); (Y.J.)
| | - Jie Gao
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China; (X.Z.); (X.C.); (Y.J.)
- Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100863, China
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Erkin F, Yue D, Abdureyim A, Huang W, Tayir M. Link between the aboveground and belowground biomass allocation with growing of Tamarix sp. seedlings in the hinterland of Taklimakan Desert, China. PLoS One 2023; 18:e0289670. [PMID: 37585434 PMCID: PMC10431640 DOI: 10.1371/journal.pone.0289670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/24/2023] [Indexed: 08/18/2023] Open
Abstract
The morphological characteristics and biomass allocation can reflect plant adaptive strategies to the environment. Tamarix sp. is an excellent shrub species used for windbreaks and fixing sand in the desert of northwest China. The successful establishment of Tamarix sp. seedlings and their growth into mature individuals require their adaptation to various environmental conditions, which is the key to naturally regenerating the Tamarix population. To clarify the root morphological characteristics, leaf structural characters, and biomass allocation of Tamarix sp. seedlings in response to drought conditions, we took the Tamarix sp. seedlings at the Daryaboyi oasis in the hinterland of Taklimakan Desert as the object of study, analyzed rooting depth, root dry weight (RDW), specific root length (SRL), root surface area (RA), specific root area (SRA), leaf area (LA), specific leaf area (SLA) and root: shoot ratio (R:S ratio). The gravimetric soil water content varied from 5.80% to 25.84% in this study area. The taproots of Tamarix sp seedlings with small basal stem diameters were shallower and had few lateral root branches and Tamarix sp. seedlings with large basal stem diameters had more obvious taproots and lateral roots. With the growth of Tamarix sp. seedlings, the taproot deepened, and the values ranged from 4.5 cm to 108.0 cm; the SRL, SRA, and SLA decreased, and the ranges of the values were 28.92-478.79 cm·g-1, 1.07-458.50 cm2·g-1, and 24.48-50.7 cm2·g-1; the RDW, RA, and LA increased, the ranges of the values were 0.16-21.34 g, 3.42-328.04 cm2, and 2.41-694.45 cm2; the more biomass was allocated to the aboveground parts, and the mean R: S ratio was 0.76. In better soil water conditions, the root growth rate decreased as Tamarix sp. seedlings grew, and more biomass was allocated to the aboveground. This further showed that stable surface water is highly significant to the biomass allocation strategy of Tamarix sp. seedlings.
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Affiliation(s)
- Flora Erkin
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - Dai Yue
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, China
| | - Anwar Abdureyim
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - Wanyuan Huang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - Mawlida Tayir
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
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