Factors Influencing Macrophyte Species Richness
in Unmodified and Altered Watercourses

Hachoł, Justyna; Bondar-Nowakowska, E.; Nowakowska, Ewa

doi:10.15244/pjoes/85220

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…As HQA increased, MIR increased as well. These results are like other studies showing the importance of conductivity and hydromorphological conditions to macrophytes [38]. The cumulative frequency distributions of the importance ratios for the dependent variables for MIR (Figure 1b) showed that conductivity had a negative importance ratio for all observed values, indicating its negative correlation with MIR.…”

Section: Resultssupporting

confidence: 88%

Non-Linear Visualization and Importance Ratio Analysis of Multivariate Polynomial Regression Ecological Models Based on River Hydromorphology and Water Quality

Shah

Jagupilla

Vaccari

et al. 2021

Water

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Multivariate polynomial regression (MPR) models were developed for five macrophyte indices. MPR models are able to capture complex interactions in the data while being tractable and transparent for further analysis. The performance of the MPR modeling approach was compared to previous work using artificial neural networks. The data were obtained from hydromorphologically modified Polish rivers with a widely varying water quality. The modeled indices were the Macrophyte Index for Rivers (MIR), the Macrophyte Biological Index for Rivers (IBMR), and the River Macrophyte Nutrient Index (RMNI). These indices measure the trophic and ecological status of the rivers. Additionally, two biological diversity indices, species richness (N) and the Simpson index (D), were modeled. The explanatory variables were physico-chemical properties depicting water quality and river hydromorphological status indices. In comparison to artificial neural networks, the MPR models performed similarly in terms of goodness of fit. However, the MPR models had advantages such as model simplicity and ability to be subject to effective visualization of complex nonlinear input–output relationships, as well as facilitating sensitivity analysis using importance ratios to identify effects of individual input variables.

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Section: Resultssupporting

confidence: 88%

Non-Linear Visualization and Importance Ratio Analysis of Multivariate Polynomial Regression Ecological Models Based on River Hydromorphology and Water Quality

Shah

Jagupilla

Vaccari

et al. 2021

Water

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“…However, when looking at single river stretches, Szoszkiewicz et al (2014) found a significant effect of river width and water depth on species richness of aquatic macrophytes. In temperate small and intermediate-sized lowland streams, channel width also strongly affected plant species richness (Hachol et al, 2019). Modelling river plants, Gillard et al (2020) also found that river width was one of the main drivers of the distributions of different species.…”

Section: Species-area Relationshipmentioning

confidence: 97%

Macroecology of macrophytes in the freshwater realm: Patterns, mechanisms and implications

et al. 2021

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Broad-scale studies of species distributions and diversity have contributed to the emergence of general macroecological rules. These rules are typically founded on research using well-known terrestrial taxa as models and it is thus uncertain whether aquatic macrophytes follow these macroecological rules. Our purpose is to draw together available information from broad-scale research on aquatic macrophytes growing in lakes, ponds, wetlands, rivers and streams. We summarize how different macroecological rules fit the patterns shown by freshwater plants at various spatial scales. Finally, we outline future actions which should be taken to advance macroecological research on freshwater plants. Our review suggested that some macroecological patterns are relatively well-evidenced for aquatic macrophytes, whereas little information exists for others. We found, for example, that the species richness-latitude relationship follows a unimodal pattern, and species turnover prevails over species nestedness, whereas higher nestedness-related richness differences are found in low beta diversity regions. Contrary to terrestrial plants, climate or history seem not to be dominant determinants explaining these broad-scale patterns; instead local explanatory variables (e.g., water quality, such as alkalinity and nutrients, and hydromorphology) are often important for freshwater plants. We identified several knowledge gaps related, for example, to a smaller number of studies in lotic habitats, compared with lentic habitats, lack of spatiallyadequate aquatic plant studies, deficiency of comprehensive species traits databases for aquatic macrophytes, and absence of a true phylogeny comprising most freshwater plant lineages. We hope this review will encourage the undertaking of additional macroecological investigations on freshwater plants across broad spatial and temporal scales.

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“…In order to validate the results of the analyses, they were compared with the results of previous studies carried out by the authors. For this, 45 transformed study sections described in [67], excluding the sections being the basis of this paper, were analyzed. Figure 6 shows the average, minimum, and maximum values of the number of aquatic plant species in sections where two to six elements in the riverbed were transformed.…”

Section: Figure 3 Andmentioning

confidence: 99%

Application of Game Theory against Nature in the Assessment of Technical Solutions Used in River Regulation in the Context of Aquatic Plant Protection

2019

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The anthropogenic transformation of riverbeds causes a violation of the dynamic equilibrium of the river and its environment, threatening the ecological safety of aquatic ecosystems and dependent waters. However, the differing results of these transformations are dependent on many factors and it is difficult to determine them precisely before the works start. The designers and contractors of these works are dealing with the riverbed, which in terms of hydromorphological and biological features is variable, unique, and strongly diverse. Thus, decisions are followed by an unknown result concerning changes in the riverbed ecosystems. The aim of this study is to determine the suitability of game theory as a tool supporting decision-making in the design of regulatory works including ecological aspects, as well as an indication of a regulatory works model that would meet the expectations of water users while corresponding to environmentally friendly riverbed regulation. The analysis was made on the basis of observed changes in the number of species in aquatic plant vascular communities—one of the most important elements of a riverbed ecosystem. Using game theory, it is possible to create an effective tool for the design of regulatory works and decision-making process.

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Factors Influencing Macrophyte Species Richness in Unmodified and Altered Watercourses

Cited by 8 publications

References 43 publications

Non-Linear Visualization and Importance Ratio Analysis of Multivariate Polynomial Regression Ecological Models Based on River Hydromorphology and Water Quality

Non-Linear Visualization and Importance Ratio Analysis of Multivariate Polynomial Regression Ecological Models Based on River Hydromorphology and Water Quality

Macroecology of macrophytes in the freshwater realm: Patterns, mechanisms and implications

Application of Game Theory against Nature in the Assessment of Technical Solutions Used in River Regulation in the Context of Aquatic Plant Protection

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