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Zhang Z, Wang X, Guo S, Li Z, He M, Zhang Y, Li G, Han X, Yang G. Divergent patterns and drivers of leaf functional traits of Robinia pseudoacacia and Pinus tabulaeformis plantations along a precipitation gradient in the Loess plateau, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119318. [PMID: 37857219 DOI: 10.1016/j.jenvman.2023.119318] [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: 07/21/2023] [Revised: 09/30/2023] [Accepted: 10/06/2023] [Indexed: 10/21/2023]
Abstract
Changes in precipitation patterns in arid and semi-arid regions can reshape plant functional traits and significantly affect ecosystem functions. However, the synchronous responses of leaf economical, anatomical, photosynthetic, and biochemical traits to precipitation changes and their driving factors have rarely been investigated, which hinders our understanding of plants' ecological adaptation strategies to drought tolerance in arid areas. Therefore, the leaf traits of two typical plantations (Robinia pseudoacacia, RP and Pinus tabulaeformis, PT) along the precipitation gradient in the Loess Plateau, including economical, anatomical, photosynthetic, and biochemical traits, were investigated in this study. The results show that the leaf photosynthetic traits of RP and PT increase along the precipitation gradient, whereas leaf biochemical traits decrease. The anatomical traits of PT decrease with increasing precipitation, whereas no significant variation was observed for RP. Random Forest analysis show that LNC, LDMC, Chl, and PRO are leaf traits that significantly vary with the precipitation gradient in both plantations. Correlation analysis reveals that the traits coordination of RP is better than that of PT. The LMG model was used to determine driving factors. The results suggest that MAP explains the variation of PT leaf traits better (30.38%-36.78%), whereas SCH and SPH contribute more to the variation of RP leaf traits (20.88%-41.76%). In addition, the piecewise Structural Equation Model shows that the climate and soil physical and chemical properties directly affect the selected leaf functional traits of RP, whereas only the soil chemical properties directly affect the selected leaf functional traits of PT. The results of this study contribute to the understanding of the ecological adaptation of plants to environmental gradients and highlight that correlations among leaf traits should be considered when predicting plant adaptation strategies under future global change scenarios.
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Affiliation(s)
- Zhenjiao Zhang
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Xing Wang
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Shujuan Guo
- A School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, Henan, PR China.
| | - Zhenxia Li
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Mengfan He
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Yunlong Zhang
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Guixing Li
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
| | - Xinhui Han
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China.
| | - Gaihe Yang
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Shaanxi Engineering Research Center of Circular Agriculture, Yangling, 712100, Shaanxi, PR China
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Molleman F, Rossignol N, Ponge JF, Peres G, Cluzeau D, Ruiz-Camacho N, Cortet J, Pernin C, Villenave C, Prinzing A. Why phylogenetic signal of traits is important in ecosystems: uniformity of a plant trait increases soil fauna, but only in a phylogenetically uniform vegetation. Oecologia 2023; 202:175-191. [PMID: 37204497 DOI: 10.1007/s00442-023-05384-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 05/08/2023] [Indexed: 05/20/2023]
Abstract
Phylogenetically closely related plant species often share similar trait states (phylogenetic signal), but local assembly may favor dissimilar relatives and thereby decouple the diversity of a trait from the diversity of phylogenetic lineages. Associated fauna might either benefit from plant trait diversity, because it provides them complementary resources, or suffer from it due to dilution of preferred resources. We hence hypothesize that decoupling of trait and phylogenetic diversity weakens the relationship between the plant-trait diversity and the abundance and diversity of associated fauna. Studying permanent meadows, we tested for combined effects of plant phylogenetic diversity and diversity of two functional traits (specific leaf area, leaf dry matter content) on major groups of soil fauna (earthworms, mites, springtails, nematodes). We found that only in phylogenetically uniform plant communities, was uniformity in the functional traits associated with (i) high abundance in springtails, and (ii) high abundance of the sub-group that feeds more directly on plant material (in springtails and mites) or those that are more prone to disturbance (in nematodes), and (iii) high diversity in all three groups tested (springtails, earthworms, nematodes). Our results suggest that soil fauna profits from the resource concentration in local plant communities that are uniform in both functional traits and phylogenetic lineages. Soil fauna would hence benefit from co-occurrence of closely related plants that have conserved the same trait values, rather than of distantly related plants that have converged in traits. This might result in faster decomposition and a positive feedback between trait conservatism and ecosystem functioning.
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Affiliation(s)
- F Molleman
- Department of Systematic Zoology, Faculty of Biology, Institute of Environmental Biology, Adam Mickiewicz University Poznań, Ul. Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland.
| | - N Rossignol
- Université de Rennes 1/Centre National de la Recherche Scientifique, Research Unit 'Ecobio-Ecosystèmes, Biodiversité, Evolution', Campus Beaulieu, Bâtiment 14 A, 35042, Rennes, France
| | - J F Ponge
- Muséum National d'Histoire Naturelle, CNRS UMR 7179, 4 avenue du Petit Château, 91800, Brunoy, France
| | - G Peres
- UMR SAS INRAE Institut Agro Rennes-Angers, 65 Rue de St-Brieuc, 35042, Rennes, France
| | - D Cluzeau
- Université de Rennes 1/Centre National de la Recherche Scientifique, Research Unit 'Ecobio-Ecosystemes, Biodiversite, Evolution', Station Biologique, 35380, Paimpont, France
| | - N Ruiz-Camacho
- Agence Nationale de la Recherche, 50, avenue Daumesnil, 75012, Paris, France
| | - J Cortet
- Centre d'Ecologie Fonctionnelle et Evolutive, Université Paul-Valéry Montpellier 3, Université de Montpellier, EPHE, IRD, Route de Mende, 34199, Montpellier, France
| | - C Pernin
- Université de Lille, Institut Mines-Télécom, Université Artois, Junia, ULR 4515-LGCgE, Laboratoire de Génie Civil et geo-Environnement, 59000, Lille, France
| | - C Villenave
- ELISOL environnement, ZA des Tourels, 10 avenue du midi, 30111, Congénies, France
| | - A Prinzing
- Université de Rennes 1/Centre National de la Recherche Scientifique, Research Unit 'Ecobio-Ecosystèmes, Biodiversité, Evolution', Campus Beaulieu, Bâtiment 14 A, 35042, Rennes, France
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Liu H, Ye Q, Simpson KJ, Cui E, Xia J. Can evolutionary history predict plant plastic responses to climate change? THE NEW PHYTOLOGIST 2022; 235:1260-1271. [PMID: 35488493 DOI: 10.1111/nph.18194] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/24/2022] [Indexed: 06/14/2023]
Abstract
Plant plastic responses are critical to the adaptation and survival of species under climate change, but whether they are constrained by evolutionary history (phylogeny) is largely unclear. Plant leaf traits are key in determining plants' performance in different environments, and if these traits and their variation are phylogenetically dependent, predictions could be made to identify species vulnerable to climate change. We compiled data on three leaf traits (photosynthetic rate, specific leaf area, and leaf nitrogen content) and their variation under four environmental change scenarios (warming, drought, elevated CO2 , or nitrogen addition) for 434 species, from 210 manipulation experiments. We found phylogenetic signal in the three traits but not in their variation under the four scenarios. This indicates that closely related species show similar traits but that their plastic responses could not be predicted from species relatedness under environmental change. Meanwhile, phylogeny weakened the slopes but did not change the directions of conventional pairwise trait relationships, suggesting that co-evolved leaf trait pairs have consistent responses under contrasting environmental conditions. Phylogeny can identify lineages rich in species showing similar traits and predict their relationships under climate change, but the degree of plant phenotypic variation does not vary consistently across evolutionary clades.
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Affiliation(s)
- Hui Liu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, China
| | - Qing Ye
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, China
- College of Life Sciences, Gannan Normal University, Ganzhou, 341000, China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), no. 1119, Haibin Road, Nansha District, Guangzhou, 511458, China
| | - Kimberley J Simpson
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK
| | - Erqian Cui
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China
- Research Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200241, China
| | - Jianyang Xia
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, State Key Laboratory of Estuarine and Coastal Research, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China
- Research Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200241, China
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