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Article

Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China

1
College of Forestry, Gansu Agricultural University, Lanzhou 730070, China
2
Wolfberry Harmless Cultivation Engineering Research Center of Gansu Province, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Agronomy 2024, 14(8), 1868; https://doi.org/10.3390/agronomy14081868
Submission received: 4 July 2024 / Revised: 8 August 2024 / Accepted: 16 August 2024 / Published: 22 August 2024
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
Figure 1
<p>Geographic location of the study area and sampling sites. The sites were numbered sequentially based on the order of our visits. Due to the proximity of the sixth visited site (site 6) to the fifth one (site 5), we decided to omit site 5 from our analysis. The red polyline in the figure delineates the boundary of Gansu Province.</p> ">
Figure 2
<p>Relative abundance of plant species at sampling sites and the significance of their differences. The different letter in cells indicates (<span class="html-italic">p &lt;</span> 0.05) significant differences among the relative abundance of plant species between sites after LSD-based means comparisons.</p> ">
Figure 3
<p>Differences in soil nutrients and pH and their significance. Site position illustrates the position of the sites in the midstream of Heihe River; downstream: the down reaches; midstream: the middle reaches; upstream: the upper reaches. Different lowercase letters indicate statistically significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05), the same as the following.</p> ">
Figure 4
<p>Differences in cation concentrations (<b>a</b>), electrical conductivity and total ion concentrations (<b>b</b>), and anion concentrations (<b>c</b>) among sampling sites and their significance.</p> ">
Figure 5
<p>Correlations between relative abundance of plant species and ion concentrations, soil nutrients, and soil pH. The abbreviations mean as follows: TCA, Total Cation Amount; TCa, Total Cations; TA, Total Anions; TN, Total Nitrogen; TC, Total Carbon; OC, Organic Carbon. Different number of “*” indicates significant relations between the variables (“*”: <span class="html-italic">p</span> &lt; 0.05, “**”: <span class="html-italic">p</span> &lt; 0.01).</p> ">
Figure 6
<p>CCA of soil physicochemical properties, soil cations, soil anions, plant species, and sampling sites. The numbers adjacent to the diamonds represent plant species’ names, specifically: 1. <span class="html-italic">Agropyron cristatum</span> (L.) Gaertn., 2. <span class="html-italic">Equisetum ramosissimum</span> Desf. 3. <span class="html-italic">Phragmites australis</span> Trin., 4. <span class="html-italic">Artemisia argyi</span> H. Lév. and Vaniot, 5. <span class="html-italic">Eragrostis pilosa</span> (L.) Beauv., 6. <span class="html-italic">Calamagrostis pseudophragmites</span> (Hall f.) Koel., 7. <span class="html-italic">Lactuca tatarica</span> (L.) C. A. Mey., 8. <span class="html-italic">Leymus secalinus</span> (Georgi) Tzvelev, 9. <span class="html-italic">Setaria viridis</span> (L.) P. Beauv., 10. <span class="html-italic">Potentilla chinensis</span> Ser., 11. <span class="html-italic">Populus</span> L., and 12, <span class="html-italic">Onopordum acanthium</span> L.</p> ">
Versions Notes

Abstract

:
Our study examined the relationships between riparian plant communities and their soil properties along the midstream of the Heihe River in northwestern China’s arid region. Significant variations in species composition were observed across the upper, middle, and lower reaches of this midstream (adonis2 and anosim, p < 0.001). The lower reaches exhibited higher species diversity (Shannon index up to 2.12) compared to the other reaches. Gramineous plants, particularly Agropyron cristatum (L.) Gaertn. and Equisetum ramosissimum Desf., dominated all reaches, with relative abundances exceeding 50% in the upper reach sites. The soil ionic concentration showed distinct spatial heterogeneity, peaking at site 9 (upper reaches) and lowest at site 3 (lower reaches). Species diversity indices negatively correlated with SO42−, Mg2+, and Ca2+ concentrations, while salt-tolerant species like Agropyron cristatum (L.) Gaertn. and Phragmites australis Trin. positively correlated with Na+ and Cl levels. Soil nutrients had weaker but notable effects on the distribution of Onopordum acanthium L. and Artemisia argyi H. Lév. and Vaniot. These findings suggest that riparian plant community distribution along the Heihe River is influenced by complex interactions between hydrological processes, salt dynamics, and soil physicochemical properties, such as anion and cation concentrations and electrical conductivity (EC). Our research provides valuable insights for understanding and managing riparian ecosystems in arid regions.

1. Introduction

Riparian zones, as transitional areas between terrestrial and aquatic ecosystems, play a vital role in maintaining biodiversity, regulating nutrient cycling, and providing critical ecosystem services [1,2]. The composition and distribution of riparian plant communities are influenced by a complex interplay of environmental factors, including soil properties, hydrological conditions, topography, climatic conditions, and anthropogenic disturbances [3,4]. A thorough understanding of the interrelationships between riparian vegetation and soil characteristics is crucial for developing effective management and conservation strategies for riparian ecosystems.
The soil ionic status and nutrient conditions are among the key factors influencing the structure and function of riparian plant communities. The concentrations and ratios of cations such as calcium (Ca2+), magnesium (Mg2+), potassium (K+), and sodium (Na+), as well as anions like chloride (Cl), sulfate (SO42−), and bicarbonate (HCO3), can significantly affect plant growth, productivity, and species composition by influencing processes such as osmotic regulation, nutrient uptake, and physiological metabolism [5,6]. Soil physicochemical properties, including pH, EC, CEC, and nutrient availability, significantly influence riparian vegetation distribution and diversity through multiple pathways: directly affecting plant growth, altering competitive dynamics, enhancing microbial activity [7], improving the soil structure [8], and modifying plant–soil–water interactions, ultimately shaping community composition and ecosystem function [9,10]. Differences in the adaptive strategies of plant species to soil ionic and nutrient conditions may lead to pronounced spatial heterogeneity in riparian plant communities.
The Heihe River, a major inland river in the arid and semi-arid regions of northwestern China, has a catchment area of approximately 143,000 km2 and a total length of 821 km, spanning across the Qinghai and Gansu provinces [11,12]. The river basin’s complex ecological landscape encompasses plateaus, mountains, deserts, and oases, creating a fragile yet diverse environment [13]. Riparian zones along the Heihe River host rich plant communities, including trees, shrubs, and herbaceous vegetation, which play crucial roles in wind erosion control, soil and water conservation, and biodiversity maintenance [14]. However, climate change and human activities increasingly threaten the basin’s ecological integrity, leading to the significant degradation of riparian ecosystems [15]. Despite these challenges, there remains a notable gap in research regarding the relationships between riparian plant communities and soil ionic and nutrient profiles, particularly in the middle reaches of the Heihe River. This knowledge deficit underscores the need for systematic, in-depth investigations.
Our study aims to elucidate the associations between riparian plant communities and soil ionic and nutrient conditions across the upper, middle, and lower reaches of the Heihe River. To this end, we have formulated three specific research questions: (1) How do plant species’ composition and diversity vary in the riparian zones of the upper, middle, and lower reaches of the Heihe River midstream? (2) What are the differences in the soil ion concentrations and physicochemical properties among the Heihe River midstream and their main environmental driving factors? (3) What correlations exist between riparian plant species’ responses and soil ions variations and how do different plant species respond to soil environmental gradients?
By addressing these questions, our study will yield valuable theoretical insights into the ecological adaptation mechanisms of riparian plant communities in arid and semi-arid regions. Furthermore, we will provide targeted recommendations for water-saving irrigation, establish buffer zones, control invasives, restore native vegetation, monitor water, and regulate human activities in riparian ecosystems in the Heihe River Basin. Given the potential impacts of global changes and human activities on riparian ecosystems, this research is of great importance for maintaining the ecological integrity and sustainable development of riparian zones.

2. Materials and Methods

2.1. Study Area Description

Our study area is located in the Heihe River Basin (37°–43° N, 98°–102° E) in northwestern China. The region has a temperate continental climate with an average annual temperature of −5–9 °C and an average annual precipitation of 50–300 mm. The elevation ranges from 1200 to 5000 m. The Heihe River originates from the Qilian Mountains and flows from south to north through Qinghai and Gansu provinces, with a total length of 821 km and a basin area of 143,000 km2 [16]. Our study was conducted in the midstream of the Heihe River (37°20′–40°20′ N,99°20′–100°35′ E), where the main land use types are agricultural irrigation districts and oases, dominated by farmland and artificial forests (Figure 1).

2.2. Sample Site Selection and Vegetation Survey

In July and August 2021, eight sample sites were established in the riparian zone of the middle reaches of the Heihe River (Figure 1). At each site, three replicate plots of 5 m × 5 m were set up, totaling 24 plots. Within each plot, all vascular plants were identified, and their abundance and coverage were recorded. Specimens were collected for subsequent identification and archiving. These samples were archived in a laboratory (20°C, 40% humidity) and uniquely labeled. Species identification was mainly based on the Flora of China [17] and Flora of Chinese Higher Plants [18], and species’ names followed the Angiosperm Phylogeny Group system (APG IV system).

2.3. Soil Sampling and Physicochemical Properties Determination

In each plot, five points were randomly selected, and surface soil (0–20 cm) was collected using a soil auger, targeting the most active root zone and nutrient-rich layer [19]. The soil samples were mixed, sieved, and divided into two parts: one part was air-dried for determining soil physicochemical properties, and the other part was stored under refrigeration for determining soil nutrients. Soil pH and electrical conductivity (EC) were measured using the electrode method (model PHS-EC-3C, INESA Scientific Instrument Co., Ltd., Shanghai, China). Soil anions (Cl, SO42−, HCO3) and cations (Ca2+, Mg2+, K+, Na+) were determined using an ion chromatograph (model ICS-1100, Thermo Fisher Scientific Inc., Bannockburn, IL, USA), and the total concentration of these anions and cations was referred to as the total ion concentration in this study. Soil total carbon (TC), total nitrogen (TN), and total phosphorus (TP) were determined using an elemental analyzer (model vario MAX CN, Elementar Analysensysteme Gmbh, Hanau, Germany), the Kjeldahl method (model K9860, Hanon Instruments Co., Ltd, Jinan, China), and the molybdenum-antimony anti-colorimetric method (model UV-1800, Shimadzu Corp., Kyoto, Japan) [20], respectively.

2.4. Data Analysis

One-way analysis of variance (ANOVA) was used to test the differences in plant community composition and soil physicochemical properties among different river reaches, and the least significant difference (LSD) method was used for multiple comparisons. Multivariate analysis of variance (adonis2) and analysis of similarities (anosim) were used to test the differences in plant community composition among different river reaches [21]. Pearson’s correlation analysis was used to explore the relationships between plant species and soil cation, anion concentrations, and physicochemical properties. Canonical correspondence analysis (CCA) was used to investigate the relationships between plant community composition and soil environmental factors [22]. Species diversity was represented by the Shannon–Wiener index (H) and Pielou evenness index (J). The richness was measured using the number of species present in each site. Data analysis was performed using R-4.1.2 software [23], with the vegan package [24] for multivariate analysis and the ggplot2 package [25] for visualization.

3. Results

3.1. Differences in Plant Diversity and Community Composition among Different Reaches of the Heihe River Midstream

The plant species composition differed significantly among the sample sites in the upper, middle, and lower reaches of the Heihe River (adonis2, p < 0.001; anosim, R2 = 0.041, p < 0.001). The species diversity indices of the sample sites in the lower reaches were higher than those in the middle and upper reaches, with site 3 having the highest Shannon index (2.12). The differences in the diversity indices between the middle and upper reaches were not obvious, and the order of the sites was 7 > 1 > 8 > 4 > 9 > 6. The trend of species evenness was similar to that of the species diversity indices (Table 1).
A total of 26 plant species were recorded in the plots across the eight sample sites. Plant identification relied on a visual field comparison with flora guides. This method has limitations, potentially leading to the genus-level identification or misidentification of some species. The top five species in terms of relative abundance were Agropyron cristatum (L.) Gaertn., Equisetum ramosissimum Desf., Phragmites australis Trin., Artemisia argyi H. Lév. and Vaniot, and Eragrostis pilosa (L.) Beauv., accounting for 72.76% of the total relative abundance. In the upper reaches, the dominant species were Equisetum ramosissimum Desf., Agropyron cristatum (L.) Gaertn., Eragrostis pilosa (L.) Beauv., Phragmites australis Trin., and Cynanchum chinense R. Br. The relative abundance of Agropyron cristatum (L.) Gaertn. and Equisetum ramosissimum Desf. in sites 9 and 8 was significantly higher than that in other sites, exceeding 50%. The relative abundance of Phragmites australis Trin. in site 9 (41.5%) and Cynanchum chinense R. Br. in site 8 (10.4%) was significantly higher than that in other sites (Figure 2).
The sample sites in the middle reaches also had a high relative abundance of Agropyron cristatum (L.) Gaertn., Equisetum ramosissimum Desf., and Phragmites australis Trin., with the abundance of Phragmites australis Trin. being higher than that in the upper reach sites. However, the abundance of other species was lower. The middle reach sites also had species that were not present in the upper reaches, such as Calamagrostis pseudophragmites (Hall f.) Koel., Leymus secalinus (Georgi) Tzvelev, Corispermum hyssopifolium L., and Grubovia dasyphylla (Fisch. and C. A. Mey.) Freitag and G. Kadereit, with their relative abundance exceeding 10%.
The dominant species in the lower reach sites were similar to those in the middle reaches, including Agropyron cristatum (L.) Gaertn., Calamagrostis pseudophragmites (Hall f.) Koel., Artemisia argyi H. Lév. and Vaniot, and Equisetum ramosissimum Desf., but with a lower relative abundance. The lower reach sites also had Potentilla chinensis Ser., which was not found in the middle and upper reaches.

3.2. Differences in Soil Nutrient and Ion Concentrations and Physicochemical Properties among Different Locations in the Heihe River Basin

The concentrations of anions, cations, and soil nutrients differed significantly among the sample sites. Site 9 in the upper reaches had the highest anion and cation concentrations, which were significantly higher than those in other sites. The concentrations in sites 7, 6, and 4 in the middle reaches were significantly higher than those in other sites in the upper and lower reaches. Site 3 in the lower reaches had the lowest anion and cation concentrations (Figure 3, Table S1).
The concentrations of Ca2+, K+, and Na+ in site 9 were significantly higher than those in other sites, while the Mg2+ concentrations in sites 1 and 7 were significantly higher. The concentrations of Ca2+, Na+, and Mg2+ in the middle reach sites were higher than those in the lower reach sites. Except for site 9, the Na+ concentrations in the middle reach sites were higher than those in the upper reach sites. Except for site 9, the K+ concentrations in the lower reach sites were higher than those in the upper and middle reach sites (Figure 4, Table S2). The concentrations of Cl and SO42− in site 9 were significantly higher than those in other sites. The Cl concentrations in the middle reach sites were higher than those in sites 7 and 8 in the upper reaches. The HCO3 concentration in site 4 in the middle reaches was significantly higher than that in other sites. The concentrations of Cl, SO42−, and HCO3 in site 3 were significantly lower than those in other sites.

3.3. Relationships between Soil Characteristic Ions and Plant Community Composition in the Heihe River Basin

The correlation analysis showed that different plant species exhibited unique adaptation strategies to anions, cations, and other environmental factors. The species diversity index was significantly negatively correlated with SO42−, Mg2+, and Ca2+ concentrations, while species evenness was significantly positively correlated with the total carbon content. Agropyron cristatum (L.) Gaertn. and Phragmites australis Trin. had similar relationships with Cl, Ca2+, K+, and electrical conductivity (EC), showing significant positive correlations. Additionally, Phragmites australis Trin. was significantly positively correlated with Na+. Onopordum acanthium L., C. (Hall f.) Koel. and Leymus secalinus (Georgi) Tzvelev were significantly negatively correlated with SO42−, Na+, and EC. Setaria viridis (L.) P. Beauv. and Eragrostis pilosa (L.) Beauv. were significantly negatively correlated with Mg2+, while Populus L. was significantly negatively correlated with SO42−. The correlations between soil nutrients, pH, and plant species were not significant (Figure 5).
Consistent with the correlation analysis results, CCA indicated that the cation and anion concentrations had positive effects on Agropyron cristatum (L.) Gaertn., Phragmites australis Trin., and Potentilla chinensis Ser., but negative effects on Lactuca tatarica (L.) C. A. Mey., Artemisia argyi H. Lév. and Vaniot, Onopordum acanthium L., Calamagrostis pseudophragmites (Hall f.) Koel., Leymus secalinus (Georgi) Tzvelev, Populus L., Eragrostis pilosa (L.) Beauv., and Setaria viridis (L.) P. Beauv. Soil nutrients had negative effects on Onopordum acanthium L., Artemisia argyi H. Lév. and Vaniot, Lactuca tatarica (L.) C. A. Mey., Eragrostis pilosa (L.) Beauv., and Setaria viridis (L.) P. Beauv., while they positively influenced other plant species. The impact of soil nutrients on Populus L., Equisetum ramosissimum Desf., Lactuca tatarica (L.) C. A. Mey., and Calamagrostis pseudophragmites (Hall f.) Koel. was relatively weak (Figure 6).

4. Discussion

This study unveiled substantial variations in the composition and diversity of riparian plant communities along the middle reaches of the Heihe River. Furthermore, it highlighted the strong correlations between ion concentrations, the soil nutrient status, and the distribution of plant species. These findings provide important insights into understanding the structure and function of riparian ecosystems in arid and semi-arid regions.
The species composition of riparian plant communities in the upper, middle, and lower reaches of the middle Heihe River differed markedly, which may be related to changes in environmental conditions such as the hydrology, topography, and climate along the longitudinal gradient of the river [26,27]. Previous studies have shown that the upstream sections of rivers typically have higher flow velocities, coarser sediments, and lower nutrient contents, while the opposite is true for downstream sections [28]. These changes in the environmental gradient have a significant impact on the species composition and diversity of plant communities. This study found that the species diversity index in the downstream section of the river was significantly higher than that in the middle and upper sections, which is consistent with the findings of Zhang [29] in the Heihe River. The high species diversity may be related to the more complex habitat heterogeneity and more stable moisture conditions in the riparian zone of the downstream section [30,31]. Wang [32] also pointed out that geomorphological units such as floodplains and islands developed in the downstream section can provide diverse microhabitats and promote species coexistence. Poaceae plants such as Agropyron cristatum (L.) Gaertn., Equisetum ramosissimum Desf., and Phragmites australis Trin. dominated in all sections of the middle reaches of the midstream of the Heihe River, reflecting their strong tolerance and adaptability. Liu [33] found that the distribution of Agropyron cristatum (L.) Gaertn. and Phragmites australis Trin. in the lower reaches of the Tarim River was closely related to the groundwater level, indicating that they can absorb deep soil moisture through their root systems to adapt to arid environments. In addition, Phragmites australis Trin. has a well-developed rhizome system and high asexual reproduction capacity, enabling it to expand rapidly in the riparian zone [34,35]. Equisetum ramosissimum Desf. also exhibits strong growth and physiological regulation abilities under water and salt stress [36]. The ecological adaptability of these species may be an important reason for their widespread distribution in the riparian zone of the middle reaches of the Heihe River.
The spatial distribution pattern of soil ion concentrations in the riparian zone of the middle reaches of the Heihe River is closely related to water and salt dynamics. The cation and anion concentrations at site 9 in the upstream section of this river segment were significantly higher than those at other sites, which may be related to the special geological conditions and hydrological processes of the upper Heihe River connected to this section. Wei found that the Qilian Mountains in the upper reaches of the Heihe River are rich in soluble salts, which can enter the river through rock weathering and groundwater recharge [37]. In addition, the narrow upstream valleys and faster river flow velocities may also intensify rock erosion and salt leaching [38]. The soil ion concentrations in the middle reaches were generally higher than those in the downstream section, which may be due to strong evaporation in the middle reaches, leading to salt accumulation in the topsoil. Zhao also showed that the soil salinization problem in the oasis area of the middle reaches of the Heihe River is relatively severe and is related to agricultural irrigation and a groundwater level rise [39]. The lowest ion concentrations were found at site 3 in the downstream section, which may be influenced by the dilution and leaching effects of the river water connected to the lower reaches of the Heihe River. Zhao found that the soil salt content in the riparian zone of the lower reaches of the Heihe River was generally lower than that in the inland areas [40], indicating a significant leaching effect of river water.
The results of this study demonstrate that the correlation analysis and canonical correspondence analysis reveal distinct response patterns of different plant species to soil ion and nutrient conditions. These findings align with previous research. For instance, Wang [41] discovered that perennial grasses in the lower reaches of the Tarim River were positively correlated with soil salinity, while Populus L. species showed a negative correlation with salinity. Similarly, Yang’s [42] study in the Yellow River Delta revealed that salt-tolerant plants such as Phragmites australis Trin. dominated in high-salinity environments, whereas salt-sensitive plants like Tamarix chinensis Lour. were less abundant. In the present study, Agropyron cristatum (L.) Gaertn. and Phragmites australis Trin. were positively correlated with ions such as Na+ and Cl, reflecting their salt tolerance adaptation mechanisms. Previous research has shown that white clover can maintain cell turgor and growth through Na+ compartmentalization and osmotic adjustment [43], while Phragmites australis Trin. reduces salt toxicity by secreting salt from roots and excluding ions [44]. Some salt-sensitive plants, such as Onopordum acanthium L., Calamagrostis pseudophragmites (Hall f.) Koel., and Leymus secalinus (Georgi) Tzvelev, were negatively correlated with high concentrations of Na+ and SO42−. This may be because excessive Na+ can interfere with the K+ uptake and enzyme activity in these species, while SO42− can cause nutritional imbalances and growth inhibition [45,46].
Our study revealed a relatively weak relationship between the soil nutrient status and plant species distribution in the riparian zone of the Heihe River. This may be attributed to the generally low soil nutrient levels in this area, which could limit the influence of nutrients on vegetation. Tong investigated soil nutrients in the middle reaches of the Heihe River and found that the organic matter and total nitrogen contents in the riparian soil were generally lower than those in farmland and woodland [47]. These findings reflect the nutrient-poor characteristics of the riparian habitat in this river segment. Moreover, riparian plant communities may be primarily constrained by water conditions and ionic stress rather than nutrient limitation. Yu [48] discovered through controlled experiments that water treatment had the greatest impact on the growth of Populus euphratica seedlings, while the effect of a nitrogen addition was relatively small. However, soil nutrients still showed certain negative effects on some species, such as Onopordum acanthium L. and Artemisia argyi H. Lév. and Vaniot, indicating that excessive nutrients may also stress riparian vegetation. Therefore, appropriate soil nutrient concentrations are crucial for plant growth and distribution. Zou [49] pointed out that under high nitrogen conditions, the growth and photosynthetic efficiency of some riparian plants may be inhibited, leading to population decline.
In summary, this study reveals the complex associations between riparian plant communities and the soil ion and nutrient status in the middle reaches of the Heihe River. These results are consistent with previous studies in other arid region riparian zones. The distribution patterns and community characteristics of plant species are jointly influenced by the hydrological processes, salt dynamics, and soil physicochemical properties of different river segments. These findings are of great significance for understanding the structure and function of riparian ecosystems in arid regions and provide a scientific basis for the management, conservation, and restoration of riparian zones. However, there is currently insufficient research on the effects of factors such as climate change and human activities on riparian vegetation. Future studies should conduct long-term monitoring and controlled experiments to further explore the physiological and ecological response mechanisms of plants under different environmental stresses and carry out population ecology research on key species. Simultaneously, the assessment of ecosystem service functions in riparian zones should be strengthened to provide support for the development of sustainable watershed management policies. Only by comprehensively considering the interactions between riparian vegetation and environmental factors and coordinating the relationship between ecological protection and socio-economic development can the healthy maintenance and long-term sustainable development of riparian zones in arid regions be achieved.

5. Conclusions

This study elucidates the complex interactions between riparian plant communities and soil physicochemical properties along the midstream of the Heihe River. Significant spatial variations in plant diversity, community composition, and soil characteristics were observed across the upper, middle, and lower reaches. The sites in the lower reaches exhibited higher species diversity, likely due to increased habitat heterogeneity and more stable moisture conditions. Soil ion concentrations showed distinct spatial patterns, decreasing from upper to lower reaches, influenced by geological and hydrological factors. Strong correlations between the soil ion concentrations and plant species distribution were evident, with species demonstrating unique adaptation strategies to ionic stress. The weak relationship between soil nutrients and plant distribution suggests that riparian vegetation in this area may be primarily constrained by water conditions and ionic stress rather than nutrient limitations. These findings provide crucial insights into the structure and function of riparian ecosystems in arid and semi-arid regions. Future research should focus on long-term monitoring, controlled experiments on plant physiological responses, and ecosystem service assessments. Such a comprehensive understanding is essential for developing effective management strategies that balance ecological conservation with socio-economic development in these vital riparian ecosystems.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/agronomy14081868/s1, Table S1: Soil property and ion status differences and significance; Table S2: Soil anion and cation differences and significance.

Author Contributions

Conceptualization, J.L. and Z.W.; methodology, G.C.; investigation, J.J.; writing—original draft preparation, Z.W.; writing—review and editing, J.L.; visualization, J.L. and Z.W.; funding acquisition, J.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China Regional Science Fund, grant number 41967057.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author/s.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Cole, L.J.; Stockan, J.; Helliwell, R. Managing riparian buffer strips to optimise ecosystem services: A review. Agric. Ecosyst. Environ. 2020, 296, 106891. [Google Scholar] [CrossRef]
  2. Stutter, M.; Baggaley, N.; Wang, C. The utility of spatial data to delineate river riparian functions and management zones: A review. Sci. Total Environ. 2021, 757, 143982. [Google Scholar] [CrossRef]
  3. Janssen, P.; Couloigner, C.; Piégay, H.; Evette, A. The accumulation of anthropogenic stressors induces a progressive shift in the ecological preferences and morphological traits shared by riparian plant communities. Freshw. Biol. 2023, 68, 1981–1994. [Google Scholar] [CrossRef]
  4. Breton, V.; Girel, J.; Janssen, P. Long-term changes in the riparian vegetation of a large, highly anthropized river: Towards less hygrophilous and more competitive communities. Ecol. Indic. 2023, 155, 111015. [Google Scholar] [CrossRef]
  5. Fijani, E.; Meysami, S. Assessment of hydrochemical characteristics and groundwater suitability for drinking and irrigation purposes in Garmsar Plain, Iran. Geopersia 2023, 13, 83–102. [Google Scholar]
  6. Abugu, H.O.; Egbueri, J.C.; Agbasi, J.C.; Ezugwu, A.L.; Omeka, M.E.; Ucheana, I.A.; Aralu, C.C. Hydrochemical characterization of ground and surface water for irrigation application in nigeria: A review of progress. Chem. Afr. 2024, 7, 3011–3036. [Google Scholar] [CrossRef]
  7. Arunrat, N.; Sansupa, C.; Sereenonchai, S.; Hatano, R.; Lal, R. Fire-Induced Changes in Soil Properties and Bacterial Communities in Rotational Shifting Cultivation Fields in Northern Thailand. Biology 2024, 13, 383. [Google Scholar] [CrossRef] [PubMed]
  8. Yang, M.; Zhou, D.; Hang, H.; Chen, S.; Liu, H.; Su, J.; Lv, H.; Jia, H.; Zhao, G. Effects of balancing exchangeable cations Ca, Mg, and K on the growth of tomato seedlings (Solanum lycopersicum L.) based on increased soil cation exchange capacity. Agronomy 2024, 14, 629. [Google Scholar] [CrossRef]
  9. Wang, A.; Zhang, Y.; Wang, G.; Zhang, Z. Soil physicochemical properties and microorganisms jointly regulate the variations of soil carbon and nitrogen cycles along vegetation restoration on the Loess Plateau, China. Plant Soil 2024, 494, 413–436. [Google Scholar] [CrossRef]
  10. Zhao, Q.; Ding, S.; Liu, Q.; Wang, S.; Jing, Y.; Lu, M. Vegetation influences soil properties along riparian zones of the Beijiang River in Southern China. PeerJ 2020, 8, e9699. [Google Scholar] [CrossRef]
  11. Cheng, G.; Li, X.; Zhao, W.; Xu, Z.; Feng, Q.; Xiao, S.; Xiao, H. Integrated study of the water–ecosystem–economy in the Heihe River Basin. Natl. Sci. Rev. 2014, 1, 413–428. [Google Scholar] [CrossRef]
  12. Li, X.; Lu, L.; Cheng, G.; Xiao, H. Quantifying landscape structure of the Heihe River Basin, north-west China using FRAGSTATS. J. Arid. Environ. 2001, 48, 521–535. [Google Scholar] [CrossRef]
  13. Wang, C.; Jiang, Q.O.; Shao, Y.; Sun, S.; Xiao, L.; Guo, J. Ecological environment assessment based on land use simulation: A case study in the Heihe River Basin. Sci. Total Environ. 2019, 697, 133928. [Google Scholar] [CrossRef]
  14. Ding, J.; Zhao, W.; Daryanto, S.; Wang, L.; Fan, H.; Feng, Q.; Wang, Y. The spatial distribution and temporal variation of desert riparian forests and their influencing factors in the downstream Heihe River basin, China. Hydrol. Earth Syst. Sci. 2017, 21, 2405–2419. [Google Scholar] [CrossRef]
  15. Wu, Y.; Han, Z.; Meng, J.; Zhu, L. Circuit theory-based ecological security pattern could promote ecological protection in the Heihe River Basin of China. Environ. Sci. Pollut. Res. 2023, 30, 27340–27356. [Google Scholar] [CrossRef]
  16. Jiang, S.; Meng, J.; Zhu, L. Spatial and temporal analyses of potential land use conflict under the constraints of water resources in the middle reaches of the Heihe River. Land Use Policy 2020, 97, 104773. [Google Scholar] [CrossRef]
  17. Brach, A.R.; Song, H. eFloras: New directions for online floras exemplified by the Flora of China Project. Taxon 2006, 55, 188–192. [Google Scholar] [CrossRef]
  18. Li, J. Flora of China. Harv. Pap. Bot. 2007, 13, 301–302. [Google Scholar] [CrossRef]
  19. Jobbagy, E.G.; Jackson, R.B. The distribution of soil nutrients with depth: Global patterns and the imprint of plants. Biogeochemistry 2001, 53, 51–77. [Google Scholar] [CrossRef]
  20. Yang, Y.; Wang, H.; Li, C.; Liu, H.; Fang, X.; Wu, M.; Lv, J. Identification of the soil physicochemical and bacterial indicators for soil organic carbon and nitrogen transformation under the wheat straw returning. PLoS ONE 2024, 19, e0299054. [Google Scholar] [CrossRef]
  21. Oksanen, J.; Kindt, R.; Legendre, P.; O’Hara, B.; Stevens, M.H.H.; Oksanen, M.J.; Suggests, M. The vegan package. Community Ecol. Package 2007, 10, 631–637. [Google Scholar]
  22. Cleophas, T.J.; Zwinderman, A.H.; Cleophas, T.J.; Zwinderman, A.H. Bayesian Pearson correlation analysis. In Modern Bayesian Statistics in Clinical Research; Springer: Cham, Switzerland, 2018; pp. 111–118. [Google Scholar]
  23. de Micheaux, P.L.; Drouilhet, R.; Liquet, B. The R software. In Fundamentals of Programming and Statistical Analysis; Springer: New York, NY, USA, 2013; pp. 971–978. [Google Scholar]
  24. Dixon, P. VEGAN, a package of R functions for community ecology. J. Veg. Sci. 2003, 14, 927–930. [Google Scholar] [CrossRef]
  25. Villanueva, R.A.M.; Chen, Z.J. ggplot2: Elegant graphics for data analysis. Meas. Interdiscip. Res. Perspect. 2019, 17, 160–167. [Google Scholar] [CrossRef]
  26. Liu, Q.; Niu, J.; Wood, J.D.; Kang, S. Spatial optimization of cropping pattern in the upper-middle reaches of the Heihe River basin, Northwest China. Agric. Water Manag. 2022, 264, 107479. [Google Scholar] [CrossRef]
  27. Han, M. Mutual Interactions between Geomorphology and Riparian Vegetation along Four Anabranching Reaches of the Upper Yellow River. Ph.D. Thesis, The University of Auckland, Auckland, New Zealand, 2020. [Google Scholar]
  28. Khurram, D.; Tang, Q.; Bao, Y.; He, X.; Li, J. Flow regulation controls sediment, carbon, and nutrient dynamics across the elevation gradient in the water level fluctuation zone of the Three Gorges Reservoir, China. J. Soils Sediments 2023, 23, 3201–3218. [Google Scholar] [CrossRef]
  29. Zhang, D.; Heng, W.; Chu, L.; Xu, D.; Kang, B.; Yan, Y. Taxonomic and functional diversity in a subtropical stream: A longitudinal pattern analysis. Ecol. Freshw. Fish 2020, 29, 752–763. [Google Scholar] [CrossRef]
  30. Wang, Y.; Li, B.-L.; Zhu, J.-L.; Feng, Q.; Liu, W.; He, Y.-H.; Wang, X. Assessment of heavy metals in surface water, sediment and macrozoobenthos in inland rivers: A case study of the Heihe River, Northwest China. Environ. Sci. Pollut. Res. 2022, 29, 35253–35268. [Google Scholar] [CrossRef] [PubMed]
  31. Wang, Y.; Liu, J.-J.; Liu, W.; Feng, Q.; Li, B.-L.; Lu, H.; Wang, S. Spatial variation in macrobenthic assemblages and their relationship with environmental factors in the upstream and midstream regions of the Heihe River Basin, China. Environ. Monit. Assess. 2021, 193, 1–22. [Google Scholar] [CrossRef]
  32. Wang, Y.; Liu, J.-J.; Li, B.-L.; Liu, W.; Zuo, Y.-F.; Kong, D.-X.; Zhu, J.-L. Relationships between characteristics of macrobenthic assemblages and environmental variables in the Heihe River Basin, China. AQUA Water Infrastruct. Ecosyst. Soc. 2021, 70, 710–730. [Google Scholar] [CrossRef]
  33. Liu, X.-H.; Zhang, Q.-Q.; Zhang, G.-P.; Li, H. Analysis of spatial distribution and influencing factors of plant communities in the lower reaches of Tarim river. J. Agric. Sci. Technol. 2021, 23, 131–144. [Google Scholar]
  34. Coles, Z.S.; Lall, N. Sustainable production of aquatic and wetland plants. In Aquatic Plants; CRC Press: Boca Raton, FL, USA, 2020; pp. 291–329. [Google Scholar]
  35. Wolski, K.; Tymiński, T. Studies on the threshold density of Phragmites australis plant concentration as a factor of hydraulic interactions in the riverbed. Ecol. Eng. 2020, 151, 105822. [Google Scholar] [CrossRef]
  36. Husby, C.E.; Delatorre, J.; Oreste, V.; Oberbauer, S.F.; Palow, D.T.; Novara, L.; Grau, A. Salinity tolerance ecophysiology of Equisetum giganteum in South America: A study of 11 sites providing a natural gradient of salinity stress. AoB Plants 2011, 2011, plr022. [Google Scholar] [CrossRef] [PubMed]
  37. Wei, L.; Zongjie, L.; Lingling, S. The evolution of hydrochemistry at a cold alpine basin in the Qilian Mountains. Arab. J. Geosci. 2016, 9, 306. [Google Scholar] [CrossRef]
  38. Gaofeng, Z.; Yonghong, S.; Chunlin, H.; Qi, F.; Zhiguang, L. Hydrogeochemical processes in the groundwater environment of Heihe River Basin, northwest China. Environ. Earth Sci. 2010, 60, 139–153. [Google Scholar] [CrossRef]
  39. Zhao, Y.; Feng, Q.; Lu, A.; Deo, R.C. Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China. Chem. Ecol. 2019, 35, 330–343. [Google Scholar] [CrossRef]
  40. Zhao, Y.; Feng, Q.; Yang, H. Soil salinity distribution and its relationship with soil particle size in the lower reaches of Heihe River, Northwestern China. Environ. Earth Sci. 2016, 75, 1–18. [Google Scholar] [CrossRef]
  41. Wang, Y.; Li, J.; Qian, K.; Ye, M. Response of plant species diversity to flood irrigation in the Tarim River Basin, Northwest China. Sustainability 2023, 15, 1243. [Google Scholar] [CrossRef]
  42. Yang, H.; Xia, J.; Cui, Q.; Liu, J.; Wei, S.; Feng, L.; Dong, K. Effects of different Tamarix chinensis-grass patterns on the soil quality of coastal saline soil in the Yellow River Delta, China. Sci. Total Environ. 2021, 772, 145501. [Google Scholar] [CrossRef]
  43. Li, Z.; Peng, D.; Zhang, X.; Peng, Y.; Chen, M.; Ma, X.; Huang, L.; Yan, Y. Na+ induces the tolerance to water stress in white clover associated with osmotic adjustment and aquaporins-mediated water transport and balance in root and leaf. Environ. Exp. Bot. 2017, 144, 11–24. [Google Scholar] [CrossRef]
  44. Xie, E.; Wei, X.; Ding, A.; Zheng, L.; Wu, X.; Anderson, B. Short-term effects of salt stress on the amino acids of Phragmites australis root exudates in constructed wetlands. Water 2020, 12, 569. [Google Scholar] [CrossRef]
  45. Xia, F.; Hao, H.; Qi, Y.; Bai, H.; Li, H.; Shi, Z.; Shi, L. Effect of salt stress on microbiome structure and diversity in chamomile (Matricaria chamomilla L.) rhizosphere soil. Agronomy 2023, 13, 1444. [Google Scholar] [CrossRef]
  46. Yan, G.; Shi, Y.; Chen, F.; Mu, C.; Wang, J. Physiological and metabolic responses of Leymus chinensis seedlings to alkali stress. Plants 2022, 11, 1494. [Google Scholar] [CrossRef] [PubMed]
  47. Tong, S.; Cao, G.; Zhang, Z.; Zhang, J. The spatial variation and driving factors of soil total carbon and nitrogen in the Heihe River source region. Environ. Monit. Assess. 2023, 195, 724. [Google Scholar] [CrossRef]
  48. Yu, L.; Dong, H.; Li, Z.; Han, Z.; Korpelainen, H.; Li, C. Species-specific responses to drought, salinity and their interactions in Populus euphratica and P. pruinosa seedlings. J. Plant Ecol. 2020, 13, 563–573. [Google Scholar] [CrossRef]
  49. Zou, H.; Wang, W.; Huang, J.; Li, X.; Ma, M.; Wu, S.; Zhao, C. Soil nitrogen and flooding intensity determine the trade-off between leaf and root traits of riparian plant species. Plants 2024, 13, 978. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Geographic location of the study area and sampling sites. The sites were numbered sequentially based on the order of our visits. Due to the proximity of the sixth visited site (site 6) to the fifth one (site 5), we decided to omit site 5 from our analysis. The red polyline in the figure delineates the boundary of Gansu Province.
Figure 1. Geographic location of the study area and sampling sites. The sites were numbered sequentially based on the order of our visits. Due to the proximity of the sixth visited site (site 6) to the fifth one (site 5), we decided to omit site 5 from our analysis. The red polyline in the figure delineates the boundary of Gansu Province.
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Figure 2. Relative abundance of plant species at sampling sites and the significance of their differences. The different letter in cells indicates (p < 0.05) significant differences among the relative abundance of plant species between sites after LSD-based means comparisons.
Figure 2. Relative abundance of plant species at sampling sites and the significance of their differences. The different letter in cells indicates (p < 0.05) significant differences among the relative abundance of plant species between sites after LSD-based means comparisons.
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Figure 3. Differences in soil nutrients and pH and their significance. Site position illustrates the position of the sites in the midstream of Heihe River; downstream: the down reaches; midstream: the middle reaches; upstream: the upper reaches. Different lowercase letters indicate statistically significant differences among treatments (p < 0.05), the same as the following.
Figure 3. Differences in soil nutrients and pH and their significance. Site position illustrates the position of the sites in the midstream of Heihe River; downstream: the down reaches; midstream: the middle reaches; upstream: the upper reaches. Different lowercase letters indicate statistically significant differences among treatments (p < 0.05), the same as the following.
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Figure 4. Differences in cation concentrations (a), electrical conductivity and total ion concentrations (b), and anion concentrations (c) among sampling sites and their significance.
Figure 4. Differences in cation concentrations (a), electrical conductivity and total ion concentrations (b), and anion concentrations (c) among sampling sites and their significance.
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Figure 5. Correlations between relative abundance of plant species and ion concentrations, soil nutrients, and soil pH. The abbreviations mean as follows: TCA, Total Cation Amount; TCa, Total Cations; TA, Total Anions; TN, Total Nitrogen; TC, Total Carbon; OC, Organic Carbon. Different number of “*” indicates significant relations between the variables (“*”: p < 0.05, “**”: p < 0.01).
Figure 5. Correlations between relative abundance of plant species and ion concentrations, soil nutrients, and soil pH. The abbreviations mean as follows: TCA, Total Cation Amount; TCa, Total Cations; TA, Total Anions; TN, Total Nitrogen; TC, Total Carbon; OC, Organic Carbon. Different number of “*” indicates significant relations between the variables (“*”: p < 0.05, “**”: p < 0.01).
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Figure 6. CCA of soil physicochemical properties, soil cations, soil anions, plant species, and sampling sites. The numbers adjacent to the diamonds represent plant species’ names, specifically: 1. Agropyron cristatum (L.) Gaertn., 2. Equisetum ramosissimum Desf. 3. Phragmites australis Trin., 4. Artemisia argyi H. Lév. and Vaniot, 5. Eragrostis pilosa (L.) Beauv., 6. Calamagrostis pseudophragmites (Hall f.) Koel., 7. Lactuca tatarica (L.) C. A. Mey., 8. Leymus secalinus (Georgi) Tzvelev, 9. Setaria viridis (L.) P. Beauv., 10. Potentilla chinensis Ser., 11. Populus L., and 12, Onopordum acanthium L.
Figure 6. CCA of soil physicochemical properties, soil cations, soil anions, plant species, and sampling sites. The numbers adjacent to the diamonds represent plant species’ names, specifically: 1. Agropyron cristatum (L.) Gaertn., 2. Equisetum ramosissimum Desf. 3. Phragmites australis Trin., 4. Artemisia argyi H. Lév. and Vaniot, 5. Eragrostis pilosa (L.) Beauv., 6. Calamagrostis pseudophragmites (Hall f.) Koel., 7. Lactuca tatarica (L.) C. A. Mey., 8. Leymus secalinus (Georgi) Tzvelev, 9. Setaria viridis (L.) P. Beauv., 10. Potentilla chinensis Ser., 11. Populus L., and 12, Onopordum acanthium L.
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Table 1. Alpha diversity at each sampling site.
Table 1. Alpha diversity at each sampling site.
Site PositionSite NumberRichnessMenhinick IndexMargalef IndexShannon–Wiener IndexSimpson’s Index of DiversityPielou Evenness Index
UpstreamSite 78.000.180.821.520.730.73
Site 87.000.470.991.330.620.69
Site 95.000.110.530.980.570.61
MidstreamSite 113.000.281.471.520.690.59
Site 44.000.580.771.240.690.89
Site 64.000.220.520.640.420.46
DownstreamSite 211.000.271.241.940.820.81
Site 310.000.241.102.120.870.92
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Wang, Z.; Chen, G.; Li, J.; Jiao, J. Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China. Agronomy 2024, 14, 1868. https://doi.org/10.3390/agronomy14081868

AMA Style

Wang Z, Chen G, Li J, Jiao J. Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China. Agronomy. 2024; 14(8):1868. https://doi.org/10.3390/agronomy14081868

Chicago/Turabian Style

Wang, Zhikai, Guopeng Chen, Jie Li, and Jian Jiao. 2024. "Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China" Agronomy 14, no. 8: 1868. https://doi.org/10.3390/agronomy14081868

APA Style

Wang, Z., Chen, G., Li, J., & Jiao, J. (2024). Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China. Agronomy, 14(8), 1868. https://doi.org/10.3390/agronomy14081868

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