Abstract
Numerous studies note the overwhelming influence of functional diversity on ecosystem functioning. It remains unclear how functional diversity affects the productivity of aquatic plant communities with different life-forms. We constructed free-floating plant communities dominated by Salvinia natans and submerged plant communities dominated by Vallisneria natans to explore the effects of disturbance (clonal fragmentation) on functional diversity-productivity relationships under different nutrient availability. Results showed that, in free-floating plant communities, disturbance had significant impacts on three community-weighted means traits (average leaf length, average leaf width and average root length), functional evenness (FEve) and productivity under high nutrient conditions. Three single-trait indices and FEve showed reverse correlations with productivity. In submerged plant communities, disturbance-induced considerable variations of single- and multi-trait indices and inapparent variation of productivity. Functional evenness was negatively related to community productivity under low nutrient conditions. Our results suggest that mechanisms of mass ratio and niche complementarity can simultaneously explain variations in free-floating plant community productivity under high nutrient conditions. Niche complementarity had a weak explanatory power for variations in submerged plant community productivity under low nutrient conditions. Our study provides the first evidence for the non-negligible role of nutrients and life-forms in functional diversity-productivity relationships of aquatic plant communities.
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Introduction
In the past few decades, global climate change and the increasing disturbance due to human activities have led to a dramatic decline in biodiversity (Cardinale, 2012; Naeem et al., 2012; Li et al., 2020; Caro et al., 2022; Manhaes et al., 2022). The relationship between biodiversity and ecosystem functioning has also become a research hotspot for community ecologists (Brophy et al., 2017; Jing & He, 2021). Productivity, one of the most fundamental properties representing ecosystem function, is often used to evaluate biodiversity effects (Duffy et al., 2017). Most studies investigating the relationships between biodiversity and productivity have largely focused on terrestrial ecosystems such as grasslands and forests (Liu et al., 2018; Xu et al., 2018; Gao et al., 2021). However, aquatic ecosystems providing numerous ecological and economic services are often neglected. Aquatic macrophytes impact many processes in aquatic ecosystems, such as nutrient cycling and foodweb dynamics (Rejmankova, 2011). Therefore, investigating the biodiversity-productivity relationships of aquatic macrophyte communities can contribute to our understanding of aquatic ecosystem functions (Alahuhta et al., 2017; Ma et al., 2022).
Most previous studies have mainly focused on species diversity (e.g., species richness) as a measure of biodiversity related to productivity (van Andel, 1998; Petchey, 2000; Hooper et al., 2005). Recent studies have shown that community functional diversity based on functional traits could better explain ecosystem functions and processes than species diversity based on the taxonomical composition of communities (Butterfield & Suding, 2013; Roscher et al., 2013; Zhan et al., 2019). Functional diversity can be quantified by two main components: single trait indices (community-weighted means (CWM)) and multi-trait indices (functional richness, functional evenness, and functional dispersion) (Villéger et al., 2008; Vandewalle et al., 2010). CWM (i.e., the average trait value of plants for a single trait in the community), which reflects dominant species' influences on ecosystem function, is frequently assumed to be more related to the mass ratio hypothesis (Garnier et al., 2004; Roscher et al., 2012). Multi-trait indices (i.e., the distribution of trait values), representing the degree of overlap in trait values within the community, are often associated with the niche complementarity hypothesis (Petchey & Gaston, 2002; Cadotte, 2017). Only a few studies have compared the explanatory power of the mass ratio hypothesis and the niche complementarity hypothesis on ecosystem processes (Mokany et al., 2008; Carreño-Rocabado et al., 2012; Xu et al., 2018). Nevertheless, the results were diverse and these studies are all from terrestrial ecosystems. In aquatic macrophyte communities, there is limited knowledge about how functional diversity affects productivity.
In aquatic habitats, most aquatic plants are characterized by clonal growth and play important roles in many aquatic ecosystems (Schmid, 1990; Wang et al., 2016). Stolons between ramets of aquatic clonal plants tend to be fragile due to low levels of lignification (Barratsegretain, 1996). Moreover, aquatic habitats are frequently disturbed by flooding, transportation, fish-farming and other human activities (Lin et al., 2012; Huber et al., 2014), so connections between clonal ramets are more prone to breakage. However, few studies have attempted to measure the effects of this disturbance (clonal fragmentation) on functional diversity and productivity of aquatic clonal plant community. In addition, frequent human activities also strengthen N and P deposition, resulting in increased nutrient availability in the water body and sediment (Gao et al., 2019, 2020). It is well-known that nutrient availability is a key factor affecting the growth and development of aquatic clonal plants (Krouk et al., 2011). For instance, high nutrient availability significantly increased the total biomass and ramet number of floating clonal plants, Salvinia natans (Zhang et al., 2020b). Submerged plants like Vallisneria spiralis exhibited greater compensatory growth responses to partial leaf removal in high nutrient sediments (Li et al., 2010). It is recognized that sediment nutrient availability is closely coupled with aquatic macrophyte productivity and species composition (Barko et al., 1991). Therefore, it would be better to take nutrient availability into account when exploring the effects of disturbance on aquatic plant communities.
In this study, we constructed two aquatic plant communities (free-floating plant communities and submerged plant communities) dominated by S. natans and V. natans, respectively, to investigate the effects of clonal fragmentation on the functional diversity and functional diversity-productivity relationships of free-floating and submerged plant communities under different nutrient availability. Both S. natans and V. natans are typical stoloniferous clonal plants. In the experiment, clones of S. natans and V. natans were periodically disturbed (stolons were severed or remained connected). Our study aimed to answer two questions. First, in different life-form plant communities, how does fragmentation affect the different components (single trait indices and multi-trait indices) of functional diversity and community productivity under different nutrient availability? Second, what are functional diversity-productivity relationships under different nutrient availability?
Materials and methods
Plant species
Salvinia natans is a free-floating, fast-growing, clonal pteridophyte. Its stem nodes are whorled with three leaves; two oval leaves that float on the water, and the third is split into linear segments covered with hairs, which functions like a root (referred to as the root in this study) (Gałka & Szmeja, 2012). New whorls, which can be regarded as ramets, can develop within several days. The other two coexisting species were Lemna perpusilla and Spirodela polyrhiza. Lemna perpusilla is a floating clonal plant of the Lemnaceae and its frond is green on both sides, nearly flat, obliquely obovate or obovate-oblong (Tang et al., 2011). Spirodela polyrhiza is also a floating clonal plant of Lemnaceae and its frond is flat and obovate, with the purple back towards the water and the green surface towards the air (Zhang et al., 2020a). The combination of one frond and some roots is treated as a ramet in L. perpusilla and S. polyrhiza. All three of them are often found in slow moving water associated with ditches, shallow pools, and eutrophic lakes. Plants of the three species were collected on July 28, 2020 from a pond located in the National Field Station of the Freshwater Ecosystem of Liangzi Lake (hereafter referred to as the National Field Station of Liangzi Lake), Wuhan University, China. Then, they were thoroughly cleaned and cultivated in containers (35 cm in diameter and 15 cm in height) filled with lake water (TN 1 mg l−1 and TP 0.03 mg l−1) at the experimental outdoor platform.
Vallisneria natans, a submerged macrophyte with a wide geographical range, is a dominant native species in many freshwater habitats in China (Lowden, 1982). It usually spreads horizontally above ground by producing stolons and forming clonal ramets, and is often used for the restoration of aquatic vegetation (Zhu et al., 2018). The other two coexisting species were Potamogeton malaianus and Myriophyllum spicatum. Potamogeton malaianus is a submerged perennial herb with developed underground rhizomes system (Liu et al., 2007). Myriophyllum spicatum is a common submerged macrophyte that has a high rate of survival, and strong resistance to pollution (Sun et al., 2021). These three species are extensively dispersed throughout the world and are usually found in the same habitat. We used the seeds from a population of V. natans cultivated the previous year to obtain seedlings of V. natans. Seedlings of V. natans and shoots of P. malaianus and M. spicatum were collected and cultivated on May10, 2021 in aquariums in the greenhouse at the National Field Station of Liangzi Lake.
Experimental design
Free-floating plant community experiment
The free-floating plant community experiment started on August 3, 2020. In a fully factorial design with five replicates each, two levels of nutrient (low or high) and two levels of fragmentation (no fragmentation or with fragmentation) were applied. Nutrient levels were 1 mg N l−1 and 0.03 mg P l−1 in the low nutrient treatment (lake water) and 4 mg N l−1 and 0.2 mg P l−1 in the high nutrient treatment. The concentration of N and P solutions in high nutrient treatments was supplied by adding NH4NO3 and NaH2PO4·2H2O (Yu et al., 2019). Among nutrients, nitrogen and phosphorus especially control the abundance of free-floating plants (Smith, 2014). Based on fresh weight and coverage of species, we put 20 clonal fragments of S. natans (9.682 ± 0.192 g fresh weight, mean ± SE; about 75% coverage in the community) that were similar in morphology and size into each experimental container (28 cm in diameter and 10 cm in height). Each clonal fragment of S. natans consisted of four connected ramets (Fig. 1). 26 clones of L. perpusilla (0.500 ± 0.003 g fresh weight, mean ± SE; about 10% coverage in the community) and 26 clones of S. polyrhiza (0.946 ± 0.002 g fresh weight, mean ± SE; about 15% coverage in the community) were also evenly put into each experimental container. Each clone of L. perpusilla consisted of six connected fronds and each clone of S. polyrhiza consisted of four connected fronds (Fig. 1). Twenty experimental containers were placed completely randomly under a transparent canopy. After 3 days of growth (August 5), all connected stolons of S. natans in five experimental containers were severed at each nutrient level, and stolons of S. natans in the other five experimental containers remained connected. The experiment lasted for 4 weeks, and the mean air temperature was 27.1 ℃. Every 7 days, nutrient solutions and lake water in containers were completely replaced, and disturbances (severing) were done once every 2 weeks.
Submerged plant community experiment
The submerged plant community experiment started on May 20, 2021. 10 of the 20 containers were filled with lake clay (depth of 10 cm, TOC 30.869 mg g−1, TN 4.038 mg g−1, TP 0.50 mg g−1) for high nutrient conditions, and the other 10 were filled with mixed substrate (lake clay: sand = 1:2) (depth of 10 cm) for low nutrient conditions. The lake clay was salvaged from Liangzi Lake with tools, and the sand was taken from the sand washed by the lake water to the lake shore. Two clonal fragments of V. natans with similar morphology and size, two apical shoots (15 cm in plant height) of M. spicatum and two apical shoots (15 cm in plant height) of P. malaianus were selected and evenly planted in the experimental container (80 cm in diameter and 80 cm in height) filled with lake water (TN 0.068 mg l−1, TP 0.019 mg l−1). Each clonal fragment (15–18 cm in length) of V. natans consisted of three connected ramets (Fig. 1). One week after the plants were planted, half of the stolons of V. natans at each nutrient level were severed (with fragmentation) and the other half remained connected (no fragmentation), with 5 replicates per treatment. Severing was repeated every 2 weeks during the experiment, and the experiment lasted for 8 weeks. The experimental containers were placed at random on an outdoor cement platform and the mean air temperature was 24.3°C.
Measurements
Free-floating plant community
At harvest, the free-floating plants covered the whole water surface in some containers. We counted the total ramet number of each species in each container. Three traits for light acquisition and utilization (average leaf length, average leaf width and specific leaf area), two traits for nutrients acquisition and utilization (average root length and specific root length) and a regenerative trait (ramet number) were used as functional trait measurements (Table 1). We randomly selected 20 ramets of S. natans, 50 ramets of S. polyrhiza, and 50 ramets of L. perpusilla in each container and measured the leaf (frond) length, leaf (frond) width, and longest root length (hereafter “root length”) of each ramet with waterproof digital calipers (MNT-200). Average leaf length, average leaf width and average root length were also calculated based on the data of these selected ramets in each container. These ramets were then separated into leaves, stems, and roots, dried in an oven at 70°C for 48 h, and weighed to obtain leaf biomass, stem biomass, root biomass, and total biomass of these ramets for each species separately. Before drying, the leaf areas of each species were measured using a leaf area meter (LI-COR, LI-3100 AREA METER, USA) to calculate the specific leaf area, which was calculated as leaf areas divided by the leaf biomass of these ramets of each species. Specific root length was calculated as total root length divided by the root biomass of these ramets of each species. The remaining plants of each species in each container were also harvested whole, and not separated into leaves and roots. They were dried in an oven at 70°C for 48 h, and weighed. The total biomass of each species in a container was the sum of the biomass of the selected ramets and the remaining ramets of each species in that container. The total biomass (dry weight, DW) of a community (community productivity) was the pooled total biomass of all species in a container.
Community-weighted mean (CWM) trait values were calculated as the sum across all species of the products of each species trait value and their relative abundance (Garnier et al., 2004). Functional richness was calculated as the convex hull volume in n-dimensional space, where n is the number of traits, and is analogous to the multidimensional range (Villéger et al., 2008). Functional evenness was calculated as the abundance-weighted nearest neighbour distances along the minimum spanning tree in n-dimensional trait space (Villéger et al., 2008). Functional dispersion was calculated as the weighted mean distance of individual species to the weighted centroid of all species in multidimensional trait space, where weights correspond to the relative abundances of the species (Laliberté & Legendre, 2010).
Submerged plant community
At the end of the submerged plant community experiment, we counted the total ramet or branch number of each species in each container. In the calculation of community index, we collectively called them ramet number. Three traits for light acquisition and utilization (average shoot height, specific leaf area and leaf N content), two traits for nutrient acquisition and utilization (average root length and specific root length) and a regenerative trait (ramet number) were used as functional trait measurements. Six fully developed and healthy leaves for V. natans and P. malaianus severally and 20–25 fully developed and healthy leaves for M. spicatum were selected to measure the leaf areas using the leaf area meter, then oven-dried and weighed to calculate specific leaf area. The dried leaves were also fully ground to determine the leaf N content with the organic elemental analyzer (FLASH 2000, Thermo Fisher Scientific Inc., USA). We randomly selected 10 ramets of V. natans and P. malaianus in each container and measured the shoot height and root length of all species. Furthermore, average shoot height and average root length of all species were calculated. These ramets and plants of M. spicatum were then separated into shoots, roots, stolons or rhizomes, dried in an oven at 70 ℃ for 48 h, and weighed to obtain shoot biomass, root biomass, spacer biomass, and total biomass of these plants. Specific root length was calculated as total root length divided by the root biomass of these plants of each species. The remaining plants of each species in each container were also harvested in the same way. The total biomass of each species in a container was the sum of the biomass of the selected plants and the remaining plants of each species in that container. The total biomass (dry weight, DW) of a community (community productivity) was the pooled total biomass of all species in a container.
Calculations of CWM trait values and functional diversity indices were the same as those in the free-floating plant community.
Data analysis
Based on functional traits and abundance (biomass) of all species, community-weighted mean (CWM) trait values and multi-trait indices (functional richness, functional evenness, and functional dispersion) were calculated with the FD package (Laliberté et al., 2014) in R software. Two-way ANOVAs were used to evaluate the effects of clonal fragmentation and nutrient on single trait indices, multi-trait indices, and productivity of two plant communities. Further, we examined the differences between different treatments using Fisher’s least significant difference [LSD] test at the 0.05 significance level. Then, we used simple linear regression to assess the capacity of each single trait indices and multi-trait indices to explain variation in productivity. Prior to the analyses, all data were normal and homoscedastic. All analyses were conducted in R 3.5.2.
Results
Free-floating plant community
Nutrient and the interaction of nutrient and fragmentation significantly affected leaf morphology of free-floating plant communities (Table 2). Clonal fragmentation greatly increased CWMALL and CWMALW in high nutrient conditions, while there was no significant difference between fragmentation and non-fragmentation treatments in low nutrient conditions (Fig. 2a and b). CWMALL, CWMALW, CWMSRL, CWMRN, FRic and FDis in high nutrient conditions were strongly greater than those in low nutrient conditions (Table 2, Fig. 2a, b, e, f, g and i). Clonal fragmentation significantly decreased CWMSLA in low nutrient conditions and increased CWMARL in high nutrient conditions (Table 2, Fig. 2c and d). Lower FEve was only found in fragmentation treatments under high nutrient conditions rather than low nutrient conditions (Fig. 2h). Productivity was greatly increased by clonal fragmentation under high nutrient conditions but not under low nutrient conditions (Fig. 3a).
In single-trait indices of functional diversity, CWMALL, CWMALW, and CWMARL showed significantly positive relationships with community productivity under high nutrient conditions rather than low nutrient conditions (Fig. 4a, b, and d). Community productivity was not related to CWMSLA and CWMSRL under two nutrient conditions (Fig. 4c and e). CWMRN showed significantly positive relationships with community productivity under low nutrient conditions (Fig. 4f). In multi-trait indices of functional diversity, only FEve showed significantly negative relationships with community productivity under high nutrient conditions (Fig. 4h). Both FRic and FEve had not significant relationships with productivity under two nutrient conditions (Fig. 4g and i).
Submerged plant community
Clonal fragmentation, nutrients and their interaction significantly affected CWMASH, CWMSRL and CWMRN (Table 2). The positive effects of clonal fragmentation on CWMASH and the negative effects of clonal fragmentation on CWMSLA and CWMSRL were found under high nutrient conditions but not under low nutrient conditions (Fig. 5a, b, and e). CWMASH, CWMLN and CWMARL in high nutrient conditions were strongly greater than those in low nutrient conditions (Table 2, Fig. 5a, c, and d). There were no significant effects of clonal fragmentation and interaction effects of clonal fragmentation and nutrients on CWMLN, CWMARL and FDis (Table 2, Fig. 5c, d and i). Clonal fragmentation markedly decreased CWMRN under two nutrient conditions (Table 2, Fig. 5f). FRic was significantly increased by clonal fragmentation under low nutrient conditions, while FRic was significantly decreased by clonal fragmentation under high nutrient conditions. (Table 2, Fig. 5g). FEve was significantly increased by clonal fragmentation under two nutrient conditions (Table 2, Fig. 5h). Productivity was not affected by clonal fragmentation under two nutrient conditions (Fig. 3b).
All single-trait indices of functional diversity showed non-significant relationships with community productivity under two nutrient conditions (Fig. 6a–f). In multi-trait indices of functional diversity, only FEve showed significantly negative relationships with community productivity under low nutrient conditions (Fig. 6h). FRic and FDis did not exhibit strong correlations with productivity (Fig. 6g and i).
Discussion
Clonal fragmentation positively affected resources acquisition and use characteristics of free-floating plant communities under high nutrient conditions. This phenomenon was likely due to increased intraspecific and interspecific competition of free-floating plants S. natans caused by fragmentation under high nutrient conditions, which may further influence the functional responses of the plants. Under low nutrient conditions, the surface area of the water was sufficient for plant growth due to fewer ramets, which may have little effect on intraspecific and interspecific competition of free-floating plants (Si et al., 2019). Therefore, resources acquisition and use characteristics were not affected by fragmentation under low nutrient conditions, except for specific leaf area. Ramet numbers of communities were not greatly altered by fragmentation under two nutrient conditions, which may be because variations of ramet number in dominant species S. natans are covered by ramet number of two coexisting species with the rapid asexual reproduction ability. In submerged plant communities, fragmentation greatly decreased ramet number under two nutrient conditions, which may indicate different strategies for asexual reproduction in different plant life-forms. Furthermore, a recent study also showed that stolon connection could greatly improve the horizontal spreading ability of V. natans during the whole growth stage (Ma et al., 2021). The increasing of ramet number by non-fragmentation may lead to the intensification of interspecific competition, further stimulating the positive responses of functional traits. But this phenomenon was not obvious under low nutrient conditions, which may suggest that the functional trait variability of the submerged clonal plants was greater in the face of disturbance under high nutrient availability. Traditionally, morphological and/or physiological plasticity of plants require expensive cost (Hodge, 2006). High nutrient availability can provide more and accessible outlay for structure adjustments in plants. In addition, clonal fragmentation may eliminate the effects of mother ramets of V. natans on daughter ramets (such as resource transportation, metabolic costs, and apical dominance), resulting in individual development of mother ramets (observed greater average shoot height) (Pauliukonis & Gough, 2004; Zhang et al., 2016).
In free-floating plant communities, only functional evenness representing the degree of resource utilization was strongly decreased by fragmentation under high nutrient conditions, suggesting that disturbance increased niche overlap between free-floating plant species, especially between two functionally similar coexisting species (Prado-Junior et al., 2016). This response to disturbance is the opposite of that in most single-trait indices of functional diversity. In submerged plant communities, increased functional richness and functional evenness by fragmentation under low nutrient conditions may indicate the increased complementarity among submerged plant species (Mouillot et al., 2005). Different effects of fragmentation on functional richness and functional evenness under high nutrient conditions highlight the role of nutrients in the effect of disturbance on functional diversity of submerged plant community. For community productivity, fragmentation also showed different effects at nutrients and life-form levels: only the productivity of free-floating plant communities under high nutrient conditions was significantly increased by fragmentation.
Among six traits of free-floating plant communities, three CWM traits showed significantly positive correlations with productivity under high nutrient conditions. This finding demonstrates that community productivity could be influenced by some traits’ values of dominant species in communities (Enquist et al., 2015). Remarkably, under high nutrient conditions, the greatly negative relationships between functional evenness and productivity are impressive but not often reported by previous studies. This is most likely related to our selection of two morphologically and functionally similar species of Lemnaceae. Based on the study of Ali et al. (2018), we speculated that high productivity could be maintained or built up by dominant species through niche overlap of two coexisting species. These results imply that both mechanisms of mass ratio and niche complementarity can simultaneously affect community productivity, but their effects on productivity were opposite (Fu et al., 2014). Similarly, a previous study also found the opposite effects of community-weighted means and functional dispersion on grassland productivity (Xu et al., 2018). However, only a weak explanation (one CWM traits) of mass ratio hypothesis for productivity was observed under low nutrient conditions. These results suggest that nutrient plays an important role in the effects of disturbance on functional diversity-productivity relationships. In submerged plant communities, all single-trait indices of functional diversity had no significant relationships with productivity under two nutrient conditions, indicating that the functional traits of the dominant species are less important in influencing ecosystem function. Mokany et al. (2008) provide a striking contrast with our study, in which the traits of the dominant species most influenced the ecosystem processes. Under low nutrient conditions, FEve was negatively related to community productivity, which may be related to the non-random assembly of our experimental communities and was consistent with the result of a previous study (Ali et al., 2018). Though disturbance may promote the occupation of the potential niche by submerged plants (canopy-forming P. malaianus and M. spicatum), resulting in increased degree of resource utilization, the growth dominant species (rosette-forming V. natans) may be reduced by disturbance. Dominant species generally occupies large biomass in community. Therefore, community productivity may reduce with the increasing occupation of the potential niche by coexisting species. However, inapparent variation of productivity indicates a weak explanatory power of niche complementarity.
For free-floating plant communities under high nutrient conditions, disturbance can not only directly influence community productivity but also indirectly influence community productivity through mechanisms of mass ratio and niche complementarity. These results suggest that the growth of free-floating plants may be more sensitive to disturbance in eutrophic water bodies (Zhang et al., 2019). Although disturbance changed single- and multi-trait indices of functional diversity in submerged plant communities, productivity was not affected. This phenomenon is probably due to the flexible morphological and functional plasticity of submerged clonal plants (Strand & Weisner, 2001; Chen et al., 2016, 2020). Another alternative explanation is that submerged plants can absorb nutrients not only from sediments through their roots but also from overlying water through their leaves compared with free-floating plants (Barko, 1982; Chambers et al., 1989) and further compensate for the effects of disturbance (Li et al., 2010). Therefore, submerged plants may have greater stability of ecosystem function than free-floating plants in the face of disturbance.
Conclusions
Our results show that disturbance, accompanied by the effects of nutrients, directly and indirectly affected free-floating plant community productivity. In the indirect effect on productivity, single- or multi-trait indices of functional diversity showed opposite effects under high nutrient conditions. Significant effects of disturbance on functional diversity of submerged plant communities did not cause variations of productivity, while a weak explanatory power of the niche complementarity for functional diversity-productivity relationships was found under low nutrient conditions. Plants with different life-forms may have different survival strategies, especially in aquatic clonal plants. Therefore, it is better to take nutrient availability and plant life-form into account when studying biodiversity-productivity relationships. Admittedly, our study has some limitations. The strength of disturbance is variable under natural conditions, but we applied only one level of fragmentation. In addition, our experimental period was not long enough. Performance of plant community may different with different growth times and different levels of disturbance. Even so, our study suggests that studying the underlying mechanisms of productivity variations could more accurately quantify and predict the impact of disturbances on biodiversity patterns, thereby contributing to the formulation of strategies for biologically effective conservation and sustainable resource utilization.
Data availability
Upon request to authors.
References
Alahuhta, J., M. Toivanen, J. Hjort, F. Ecke, L. B. Johnson, L. Sass & J. Heino, 2017. Species richness and taxonomic distinctness of lake macrophytes along environmental gradients in two continents. Freshwater Biology 62(7): 1194–1206.
Ali, A., M. Lohbeck & E.-R. Yan, 2018. Forest strata-dependent functional evenness explains whole-community aboveground biomass through opposing mechanisms. Forest Ecology and Management 424: 439–447.
Barko, J. W., 1982. Influence of potassium source (sediment vs. open water) and sediment composition on the growth and nutrition of a submersed freshwater macrophyte (Hydrilla verticillata (L.f.) Royle). Aquatic Botany 12(2): 157–172.
Barko, J. W., D. Gunnison & S. R. Carpenter, 1991. Sediment interactions with submersed macrophyte growth and community dynamics. Aquatic Botany 41(1–3): 41–65.
Barratsegretain, M., 1996. Strategies of reproduction, dispersion, and competition in river plants: a review. Plant Ecology 123(1): 13–37.
Brophy, C., A. Dooley, L. Kirwan, J. A. Finn, J. McDonnell, T. Bell, M. W. Cadotte & J. Connolly, 2017. Biodiversity and ecosystem function: making sense of numerous species interactions in multi-species communities. Ecology 98(7): 1771–1778.
Butterfield, B. J. & K. N. Suding, 2013. Single-trait functional indices outperform multi-trait indices in linking environmental gradients and ecosystem services in a complex landscape. Journal of Ecology 101(1): 9–17.
Cadotte, M. W., 2017. Functional traits explain ecosystem function through opposing mechanisms. Ecology Letters 20(8): 989–996.
Cardinale, B. J., 2012. Biodiversity loss and its impact on humanity. Nature 486(7415): 59–67.
Caro, T., Z. Rowe, J. Berger, P. Wholey & A. Dobson, 2022. An inconvenient misconception: climate change is not the principal driver of biodiversity loss. Conservation Letters. https://doi.org/10.1111/conl.12868.
Carreño-Rocabado, G., M. Peña-Claros, F. Bongers, A. Alarcón, J.-C. Licona & L. Poorter, 2012. Effects of disturbance intensity on species and functional diversity in a tropical forest. Journal of Ecology 100(6): 1453–1463.
Chambers, P. A., E. E. Prepas, M. L. Bothwell & H. R. Hamilton, 1989. Roots versus shoots in nutrient uptake by aquatic macrophytes in flowing waters. Canadian Journal of Fisheries and Aquatic Sciences 46(3): 435–439.
Chen, J., T. Cao, X. Zhang, Y. Xi, L. Ni & E. Jeppesen, 2016. Differential photosynthetic and morphological adaptations to low light affect depth distribution of two submersed macrophytes in lakes. Scientific Reports. https://doi.org/10.1038/srep34028.
Chen, J., Z. Liu, S. Xiao, R. Chen, C. Luo, T. Zhu, T. Cao, L. Ni, P. Xie, H. Su & M. Zhang, 2020. Effects of benthivorous fish disturbance on chlorophyll a contents in water and the growth of two submersed macrophytes with different growth forms under two light regimes. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2019.135269.
Duffy, J. E., C. M. Godwin & B. Cardinale, 2017. Biodiversity effects in the wild are common and as strong as key drivers of productivity. Nature 549(7671): 261–264.
Enquist, B. J., J. Norberg, S. P. Bonser, C. Violle, C. T. Webb, A. Henderson, L. L. Sloat & V. M. Savage (2015) Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories. In: Pawar, S. G. Woodward & A. I. Dell (eds) Advances in Ecological Research Trait-Based Ecology - from Structure to Function Advances in Ecological Research, Academic Press, Cambridge, vol. 52, pp. 249–318.
Fu, H., J. Zhong, G. Yuan, L. Ni, P. Xie & T. Cao, 2014. Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake. Ecology and Evolution 4(9): 1516–1523.
Gałka, A. & J. Szmeja, 2012. Distribution, abundance and environmental conditions of the clonal aquatic fern Salvinia natans (L.) all. in the Vistula delta (Baltic sea region). Biodiversity Research and Conservation 28(2012): 45–53.
Gao, W. Q., X. D. Lei, M. W. Liang, M. Larjavaara, Y. T. Li, D. L. Gao & H. R. Zhang, 2021. Biodiversity increased both productivity and its spatial stability in temperate forests in northeastern China. Science of the Total Environment 780: 146674.
Gao, Y., Y. Jia, G. Yu, N. He, L. Zhang, B. Zhu & Y. Wang, 2019. Anthropogenic reactive nitrogen deposition and associated nutrient limitation effect on gross primary productivity in inland water of China. Journal of Cleaner Production 208: 530–540.
Gao, Y., F. Zhou, P. Ciais, C. Miao, T. Yang, Y. Jia, X. Zhou, B.-B. Klaus, T. Yang & G. Yu, 2020. Human activities aggravate nitrogen-deposition pollution to inland water over China. National Science Review 7(2): 430–440.
Garnier, E., J. Cortez, G. Billes, M. L. Navas, C. Roumet, M. Debussche, G. Laurent, A. Blanchard, D. Aubry, A. Bellmann, C. Neill & J. P. Toussaint, 2004. Plant functional markers capture ecosystem properties during secondary succession. Ecology 85(9): 2630–2637.
Hodge, A., 2006. Plastic plants and patchy soils. Journal of Experimental Botany 57(2): 401–411.
Hooper, D. U., F. S. Chapin, J. J. Ewel, A. Hector, P. Inchausti, S. Lavorel, J. H. Lawton, D. M. Lodge, M. Loreau, S. Naeem, B. Schmid, H. Setala, A. J. Symstad, J. Vandermeer & D. A. Wardle, 2005. Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecological Monographs 75(1): 3–35.
Huber, H., E. J. W. Visser, G. Clements & J. L. Peters, 2014. Flooding and fragment size interact to determine survival and regrowth after fragmentation in two stoloniferous Trifolium species. AoB Plants. https://doi.org/10.1093/aobpla/plu024.
Jing, X. & J. S. He, 2021. Relationship between biodiversity, ecosystem multifunctionality and multiserviceability: literature overview and research advances. Chinese Journal of Plant Ecology 45(10): 1094–1111.
Krouk, G., S. Ruffel, R. A. Gutierrez, A. Gojon, N. M. Crawford, G. M. Coruzzil & B. Lacombe, 2011. A framework integrating plant growth with hormones and nutrients. Trends in Plant Science 16(4): 178–182.
Laliberté, E. & P. Legendre, 2010. A distance-based framework for measuring functional diversity from multiple traits. Ecology 91(1): 299–305.
Laliberté, E., P. Legendre & B. Shipley, 2014. FD: Measuring functional diversity (FD) from multiple traits, and other tools for functional ecology. R package version 10–12.
Li, F., F. Altermatt, J. Yang, S. An, A. Li & X. Zhang, 2020. Human activities’ fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China. Global Change Biology 26(12): 6867–6879.
Li, K. Y., Z. W. Liu & B. H. Gu, 2010. Compensatory growth of a submerged macrophyte (Vallisneria spiralis) in response to partial leaf removal: effects of sediment nutrient levels. Aquatic Ecology 44(4): 701–707.
Lin, H. F., P. Alpert & F. H. Yu, 2012. Effects of fragment size and water depth on performance of stem fragments of the invasive, amphibious, clonal plant Ipomoea aquatica. Aquatic Botany 99: 34–40.
Liu, J. J., D. T. Liu, K. Xu, L. M. Gao, X. J. Ge, K. S. Burgess & M. W. Cadotte, 2018. Biodiversity explains maximum variation in productivity under experimental warming, nitrogen addition, and grazing in mountain grasslands. Ecology and Evolution 8(20): 10094–10112.
Liu, W., W. Hu & Q. Chen, 2007. The phenotypic plasticity of Potamogeton malaianus Miq. on the effect of sediment shift and Secchi depth variation in Taihu Lake. Ecology and Environment 16(2): 363–368.
Lowden, R. M., 1982. An approach to the taxonomy of Vallisneria L. (Hydrocharitaceae). Aquatic Botany 13(3): 269–298.
Ma, X., Y. Li, H. Yu & C. Liu, 2021. Support from mother ramets declines with increasing independence of daughter ramets in submerged clonal Vallisneria natans. Aquatic Ecology 55(1): 299–308.
Ma, F., Z. J. Zuo, L. Yang, D. X. Li, H. Y. Wang, F. C. Li, S. F. Fan, C. H. Liu & D. Yu, 2022. The effect of trait-based diversity on productivity results mainly from intraspecific trait variability in the macrophyte community. Freshwater Biology 00: 1–13.
Manhaes, A. P., G. G. Mazzochini, F. Marinho, G. Ganade & A. R. Carvalho, 2022. Loss of plant cover mediates the negative effect of anthropogenic disturbance on the multifunctionality of a dryland. Applied Vegetation Science. https://doi.org/10.1111/avsc.12636.
Mokany, K., J. Ash & S. Roxburgh, 2008. Functional identity is more important than diversity in influencing ecosystem processes in a temperate native grassland. Journal of Ecology 96(5): 884–893.
Mouillot, D., W. H. N. Mason, O. Dumay & J. B. Wilson, 2005. Functional regularity: a neglected aspect of functional diversity. Oecologia 142(3): 353–359.
Naeem, S., J. E. Duffy & E. Zavaleta, 2012. The functions of biological diversity in an age of extinction. Science 336(6087): 1401–1406.
Pauliukonis, N. & L. Gough, 2004. Effects of the loss of clonal integration on four sedges that differ in ramet aggregation. Plant Ecology 173(1): 1–15.
Petchey, O. L., 2000. Species diversity, species extinction, and ecosystem function. The American Naturalist 155(5): 696–702.
Petchey, O. L. & K. J. Gaston, 2002. Functional diversity (FD), species richness and community composition. Ecology Letters 5(3): 402–411.
Prado-Junior, J. A., I. Schiavini, V. S. Vale, C. S. Arantes, M. T. van der Sande, M. Lohbeck & L. Poorter, 2016. Conservative species drive biomass productivity in tropical dry forests. Journal of Ecoloy 104(3): 817–827.
Rejmankova, E., 2011. The role of macrophytes in wetland ecosystems. Journal of Ecology and Environment 34(4): 333–345.
Roscher, C., J. Schumacher, M. Gubsch, A. Lipowsky, A. Weigelt, N. Buchmann, B. Schmid & E. D. Schulze, 2012. Using plant functional traits to explain diversity-productivity relationships. PLoS One 7(5): e36760.
Roscher, C., J. Schumacher, A. Lipowsky, M. Gubsch, A. Weigelt, S. Pompe, O. Kolle, N. Buchmann, B. Schmid & E.-D. Schulze, 2013. A functional trait-based approach to understand community assembly and diversity-productivity relationships over 7 years in experimental grasslands. Perspectives in Plant Ecology Evolution and Systematics 15(3): 139–149.
Schmid, B., 1990. Some ecological and evolutionary consequences of modular organization and clonal growth in plants. Evolutionary Trends in Plants 4(1): 25–34.
Si, C., L. M. Zhang & F. H. Yu, 2019. Effects of physical space and nutrients on the growth and intraspecific competition of a floating fern. Aquatic Ecology 53(2): 295–302.
Smith, S. D. P., 2014. The roles of nitrogen and phosphorus in regulating the dominance of floating and submerged aquatic plants in a field mesocosm experiment. Aquatic Botany 112: 1–9.
Strand, J. A. & S. E. B. Weisner, 2001. Morphological plastic responses to water depth and wave exposure in an aquatic plant (Myriophyllum spicatum). Journal of Ecology 89(2): 166–175.
Sun, L., J. Wang, Y. Wu, T. Gao & C. Liu, 2021. Community structure and function of epiphytic bacteria associated with Myriophyllum spicatum in Baiyangdian Lake China. Front Microbiol 12: 705509.
Tang, Y., X. Wei, Q. Yao, Z. Lan & T. Li, 2011. Study of duckweed (Lemna perpusilla Torr.) for use in phytoremediation of lead-and copper-contaminated water bodies. Chinese Journal of Environmental Engineering 5(10): 2209–2214.
van Andel, J., 1998. Two approaches towards the relationship between plant species diversity and ecosystem functioning. Applied Vegetation Science 1(1): 9–14.
Vandewalle, M., F. de Bello, M. P. Berg, T. Bolger, S. Doledec, F. Dubs, C. K. Feld, R. Harrington, P. A. Harrison, S. Lavorel, P. M. da Silva, M. Moretti, J. Niemela, P. Santos, T. Sattler, J. P. Sousa, M. T. Sykes, A. J. Vanbergen & B. A. Woodcock, 2010. Functional traits as indicators of biodiversity response to land use changes across ecosystems and organisms. Biodiversity and Conservation 19(10): 2921–2947.
Villéger, S., N. W. H. Mason & D. Mouillot, 2008. New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology 89(8): 2290–2301.
Wang, P., P. Alpert & F. H. Yu, 2016. Clonal integration increases relative competitive ability in an invasive aquatic plant. American Journal of Botany 103(12): 2079–2086.
Xu, Z. W., M. H. Li, N. E. Zimmermann, S. P. Li, H. Li, H. Y. Ren, H. Sun, X. G. Han, Y. Jiang & L. Jiang, 2018. Plant functional diversity modulates global environmental change effects on grassland productivity. Journal of Ecology 106(5): 1941–1951.
Yu, S., C. Miao, H. Song, Y. Huang, W. Chen & X. He, 2019. Efficiency of nitrogen and phosphorus removal by six macrophytes from eutrophic water. International Journal of Phytoremediation 21(7): 643–651.
Zhan, D. Y., Y. F. Peng, F. Li, G. B. Yang, J. Wang, J. C. Yu, G. Y. Zhou & Y. H. Yang, 2019. Trait identity and functional diversity co-drive response of ecosystem productivity to nitrogen enrichment. J Ecol 107(5): 2402–2414.
Zhang, H. J., F. H. Liu, R. G. Wang & J. Liu, 2016. Roles of clonal integration in both heterogeneous and homogeneous habitats. Frontiers in Plant Science 7: 551.
Zhang, L. M., P. Alpert, C. Si & F. H. Yu, 2019. Interactive effects of fragment size, nutrients, and interspecific competition on growth of the floating, clonal plant Salvinia natans. Aquatic Botany 153: 81–87.
Zhang, L. M., Y. Jin, S. M. Yao, N. F. Lei, J. S. Chen, Q. Zhang & F. H. Yu, 2020a. Growth and morphological responses of duckweed to clonal fragmentation, nutrient availability, and population density. Frontiers in Plant Science 11: 618.
Zhang, L. M., S. M. Yao, Y. Jin, M. H. Song, N. F. Lei, J. S. Chen & F. H. Yu, 2020b. Effects of clonal fragmentation and nutrient availability on the competitive ability of the floating plant Salvinia natans. Folia Geobotanica 55(1): 63–71.
Zhu, Z., S. Song, Y. Yan, P. Li, N. Jeelani, P. Wang, S. An & X. Leng, 2018. Combined effects of light reduction and ammonia nitrogen enrichment on the submerged macrophyte Vallisneria natans. Marine and Freshwater Research 69: 764–770.
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Ma, X., Wang, Q., Wang, H. et al. Effects of disturbance on functional diversity-productivity relationships of aquatic plant communities depend on nutrients and life-forms. Hydrobiologia 850, 683–697 (2023). https://doi.org/10.1007/s10750-022-05118-x
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DOI: https://doi.org/10.1007/s10750-022-05118-x