Leaf traits of macrophytes in lakes: Interspecific, plant group and community patterns

Chmara, Rafał; Szmeja, Józef; Robionek, Alicja

doi:10.1016/j.limno.2019.125691

Cited by 11 publications

(4 citation statements)

References 38 publications

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“…All lakes belong to softwater lake types and their environmental conditions represent a wide spectrum of softwater habitat, water acidity (pH 4.1–7.9) and calcium concentration (1.0–18.6 mg/L). The geographic coordinates and morphometric features of these lakes were presented in our previous study ( Chmara, Szmeja & Robionek, 2019 ). To investigate species abundance the aquatic macrophytes were sampled in 30 lakes along depth zones in a transect, perpendicularly to the shoreline.…”

Section: Methodsmentioning

confidence: 99%

Functional macrophyte trait variation as a response to the source of inorganic carbon acquisition

Chmara¹,

Pronin²,

Szmeja³

2021

PeerJ

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Background This study aims to compare variation in a range of aquatic macrophyte species leaf traits into three carbon acquisition groups: HCO3−, free CO2 and atmospheric CO2. Methods The leaf functional traits were measured for 30 species from 30 softwater lakes. Macrophyte species were classified into (1) free CO2, (2) atmospheric CO2 and (3) bicarbonate HCO3− groups. In each lake we collected water samples and measured eight environmental variables: depth, Secchi depth, photosynthetically active radiation (PAR), pH of water, conductivity, calcium concentration, total nitrogen and total phosphorus. In this study we applied the RLQ analysis to investigate the relationships between species functional traits (Q) and their relationship with environmental variables (R) constrained by species abundance (L). Results The results showed that: (1) Aquatic macrophytes exhibited high leaf trait variations as a response to different inorganic carbon acquisition; (2) Traits of leaves refer to the acquisition of carbon for photosynthesis and serve to maximise this process; (3) In the wide softwater habitat, macrophyte species exhibited an extreme range of leaf economic spectrum (leaf area, leaf dry weight and specific leaf area) and wide range of shape trait expressed as circularity; (4) Macrophyte leaf traits are the result of adaptation to carbon acquisition in ambient environment.

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Section: Methodsmentioning

confidence: 99%

Functional macrophyte trait variation as a response to the source of inorganic carbon acquisition

Chmara¹,

Pronin²,

Szmeja³

2021

PeerJ

Self Cite

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“…Light is one of the major drivers (others include nutrients, temperature, and sedime type) that can affect plant growth and metabolism in aquatic ecosystems [15,57,58]. Ou meta-analysis showed that light reduction significantly decreased the ramet numb (RM), shoot biomass (SB), root biomass (RB), and soluble carbohydrate content (SC, Figu 2a).…”

Section: Effects Of Light Reduction On Growth-related Whole Plant And...mentioning

confidence: 99%

Response of Growth-Related Traits of Submerged Macrophytes to Light Reduction: A Meta-Analysis

Gao

Wang

et al. 2023

Sustainability

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Underwater light reduction is presumably becoming more frequent and intensified due to eutrophication and algal blooms, which may significantly affect submerged macrophytes’ growth. However, a comprehensive understanding of how light reduction influences growth-related traits and responses is currently lacking. Here, we compiled data from 333 records of 62 published works that used controlled experiments to explore the responses of functional traits associated with growth to light reduction. Our results indicated that light reduction significantly decreased the relative growth rate (RGR), ramet number (RM), shoot biomass (SB), root biomass (RB), soluble carbohydrates (SC), and leaf number (LN) by 38.2%, 60.0%, 59.2%, 55.4%, 30.0%, and 56.1%, respectively, but elevated the chlorophyll content (Chl) by 25.8%. Meanwhile, the responses of RGR to light reduction increased significantly with the responses of RM, SB, RB, and root-to-shoot ratio (R/S). Considering the relationships among the growth-related traits, we further found that the responses of RGR to light reduction were mainly driven by the RM rather than leaf photosynthetic capability, indicating the importance of tiller ability under low light stress. We also identified a tipping point of the response of RGR to light reduction, which might be incorporated into hydrophyte dynamic models to improve precision. Our results highlight the importance of growth-related traits, andthese traits may need to be incorporated into models to improve the prediction of distribution and area for submerged species or to provide guidance for the restoration and sustainable development of aquatic ecosystems.

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“…Leaf is the primary organ of submerged macrophytes for light and nutrition resources acquisition (Wright et al, 2004;Shipley et al, 2006;Donovan et al, 2011). Submerged macrophytes tend to increase leaf area, leaf number and relative leaf area to adapt to underwater light limitation (Pierce et al, 2012;Fu et al, 2018;Chmara et al, 2019;Zervas et al, 2019;Liu et al, 2021). Indeed, relative leaf area is a part of the leaf economic spectrum (LES) and closely correlated with other traits related to resource acquisition during plant life history (Price et al, 2014;Reich and Cornelissen, 2014;Dıáz et al, 2016).…”

Section: The Consistency Of the Hub Traits And Sensitive Traitsmentioning

confidence: 99%

Characteristics of plant trait network and its influencing factors in impounded lakes and channel rivers of South-to-North Water Transfer Project, China

Zhu

Jiang²,

Shen³

et al. 2023

Front. Plant Sci.

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Trait-based approaches have been widely used to evaluate the effects of variable environments on submerged macrophytes communities. However, little research focused on the response of submerged macrophytes to variable environmental factors in impounded lakes and channel rivers of water transfer project, especially from a whole plant trait network (PTN) perspective. Here, we conducted a field survey designed to clarify the characteristic of PTN topology among impounded lakes and channel rivers of the East Route of South-to-North Water Transfer Project (ERSNWTP) and to unravel the effects of determining factors on the PTN topology structure. Overall, our results showed that leaf-related traits and organ mass allocation traits were the hub traits of PTNs in impounded lakes and channel rivers of the ERSNWTP, which traits with high variability were more likely to be the hub traits. Moreover, PTNs showed different structures among impounded lakes and channel rivers, and PTNs topologies were related to the mean functional variation coefficients of lakes and channel rivers. Specially, higher mean functional variation coefficients represented tight PTN, and lower mean functional variation coefficients indicated loose PTN. The PTN structure was significantly affected by water total phosphorus and dissolved oxygen. Edge density increased, while average path length decreased with increasing total phosphorus. Edge density and average clustering coefficient showed significant decreases with increasing dissolved oxygen, while average path length and modularity exhibited significant increases with increasing dissolved oxygen. This study explores the changing patterns and determinants of trait networks along environmental gradients to improve our understanding of ecological rules regulating trait correlations.

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Leaf traits of macrophytes in lakes: Interspecific, plant group and community patterns

Cited by 11 publications

References 38 publications

Functional macrophyte trait variation as a response to the source of inorganic carbon acquisition

Functional macrophyte trait variation as a response to the source of inorganic carbon acquisition

Response of Growth-Related Traits of Submerged Macrophytes to Light Reduction: A Meta-Analysis

Characteristics of plant trait network and its influencing factors in impounded lakes and channel rivers of South-to-North Water Transfer Project, China

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