Discovering the ecological structure of different macrophyte groups in rivers using non-parametric and parametric...

Area of Science:

• Ecology
• Environmental Science
• Botany

Background:

• Ecological ordering methods are crucial for modeling vegetation-habitat relationships.
• Understanding macrophyte communities in rivers is vital for ecological assessment.

Purpose of the Study:

• To compare the effectiveness of Canonical Correspondence Analysis (CCA), Non-metric Multidimensional Scaling (NMDS), and Detrended Correspondence Analysis (DCA) in analyzing river macrophyte communities.
• To identify key ecological factors influencing macrophyte development in lowland Polish rivers.
• To investigate differences in ecological drivers between vascular and non-vascular macrophytes.

Main Methods:

• Comparative analysis of three ordination methods: CCA, NMDS, and DCA.
• Assessment of macrophyte communities at 98 river locations in Poland.
• Analysis of limnological variables, geographic parameters, and botanical surveys (vascular plants, bryophytes, algae).
• Statistical tests including Monte Carlo and BIOENV.

Main Results:

• Different analytical tools identified varying significant ecological factors influencing macrophyte development.
• NMDS and DCA showed similar macrophyte community structures, while CCA presented them differently.
• One-dimensional analyses of plant ecological preferences aligned more with CCA than NMDS.
• Distinct ecological drivers were confirmed for vascular and non-vascular macrophyte groups.

Conclusions:

• The choice of ordination method significantly impacts the interpretation of macrophyte community structure and ecological relationships.
• CCA, NMDS, and DCA provide complementary but distinct insights into riverine macrophyte ecology.
• Ecological preferences of aquatic plants can vary depending on the analytical approach.
• Differentiating between plant groups is essential for understanding specific ecological drivers in riverine ecosystems.