A method for aesthetic quality modelling of the form of plants and water in the urban parks landscapes: An artificial neural network approach

Bridging beauty and biodiversity: Coupling diversity and aesthetics through optimized plant communities in urban riverfront landscapes

Urban waterfront areas are dynamic interfaces where human and natural systems converge, forming complex ecosystems that encompass social, economic, and environmental elements. These areas offer ecological benefits and aesthetic experiences. However, a disparity between social aesthetic preferences and vegetation diversity along riverbanks impedes the integration of ecological and aesthetic values. To address this, a plant community optimization strategy based on a coupling coordination degree model (CCDM) is proposed. Using the Xietang River in Suzhou, China as a case study, surveys were conducted on 33 woody plant plots and 60 herbaceous plant plots, assessing plant diversity with Shannon-Wiener, richness, and Pielou indices. Landscape beauty was evaluated by 87 respondents using the Scenic Beauty Estimation method. Using six representative plant communities as mediators, CCDM was applied to quantitatively analyze the coordination between plant diversity and aesthetics. Based on this analysis and considering factors influencing plant diversity and scenic beauty, plant community optimization strategies were devised to enhance the coordinated development of ecological diversity and aesthetics, fostering a synergistic improvement in ecological and aesthetic quality. Results revealed a range of coupling coordination across plant communities (0.203 to 0.947), encompassing various types. Linear regression analysis demonstrated a non-linear relationship between plant diversity and landscape beauty, influenced by independent yet partially overlapping factors. Hence, both aspects should be simultaneously considered in the planning and enhancement of riverbank areas. The coupling coordination degree offers a comprehensive understanding of harmonizing plant diversity and aesthetic value, providing a quantitative and objective approach to integrated research. This perspective extends beyond urban waterfront landscapes, holding significance for achieving dual goals of ecology and social services in urban design and landscape management.

Urban park layers: Spatial variation in plant community structure

Horizontal structure of natural plant communities attracted the attention of researchers for a long time, while the problem of horizontal structure of urban park plantations was not studied sufficiently. Species richness of different tiers of park plantation in the large industrial city of Dnipro (Ukraine) was revealed in this study. Also features of variation in the structure of plant communities at different spatial levels were revealed, the influence of park plantation canopy on the understory and herbaceous layer of the park. There were 30 plant species in the tree layer of the park plantation. The most common species were Robinia pseudoacacia L., Acer platanoides L., A. negundo L., Gleditsia triacanthos L., Aesculus hippocastanum L., Populus carolinensis Moench. The variance-to-mean ratio revealed that 13 tree species were randomly distributed throughout the park, and 14 species were aggregated. The number of occurrences of a given tree species per site and variance-to-mean ratio were positively correlated. The numerous tree species showed a tendency of aggregated distribution within the park. Sixteen plant species were found in the understory. Among them, the most abundant species were Acer platanoides L., A. negundo L., A. pseudoplatanus L., Sambucus nigra L., Robinia pseudoacacia L. Eight species were found to be randomly distributed over the park area, and eight species showed an aggregate distribution. The number of species encountered in the understory and variance-to-mean ratio were positively correlated. In the herbaceous stand, 99 plant species were found, of which Chelidonium majus L., Viola odorata L., Impatiens parviflora DC., Parthenocissus quinquefolia (L.) Planch., Geum urbanum L. predominated. The variance-to-mean ratio of all species was significantly less than unity, indicating regular spatial distribution. The values of alpha- and gamma-diversity of the plant community in separate layers are very different. The highest gamma diversity was found for the herbaceous stand, while the diversity of the tree stand and understory was significantly lower. Alpha biodiversity of the tree stand and the understory did not practically differ. Beta diversity values between the layers are very close, and beta diversity is practically equal for tree stand and herbaceous layer. Thus, we can assume that the mechanisms of species turnover for the plant communities of different layers are determined by the common causes. The spatial broad-scale component was able to explain 8.2% of community variation, the medium-scale component was able to explain 4.2% of community variation, and the fine-scale component was able to explain 0.7% of community variation. The understory is the most sensitive to the environmental factors, the herbaceous stand is somewhat less sensitive, and the tree stand is the least sensitive to the environmental factors. The environmental factors in this study are represented by a set of variables. The spatial variation of the stand is predominantly influenced by the factors of trophicity and moisture of the edaphotope. These same factors also act on the herbaceous stand and understory, but along with them are included the environmental variables, which are determined by the architectonics of the crown space and thus the light regime, which is regulated by the tree stand. It is important to note that the variation of the communities of the different layers of the park plantation is subject to spatial patterns. The herbaceous and understory variation is more spatially structured than the tree stand variation. The spatial patterns can arise as a result of the influence of spatially structured environmental factors and as a result of factors of a neutral nature. The latter aspect of variation is best described by the pure spatial component of community variation.

Quantitative Morphology of Polder Landscape Based on SOM Identification Model: Case Study of Typical Polders in the South of Yangtze River

Landscape morphology is a significant area of landscape architecture research. One of the scientific and technological issues in recent landscape morphology research is the use of quantitative analysis technology driven by morphology indexes and computational models to describe, compare, and analyze form features. This article focuses on the form features of the polder landscape, based on existing theoretical and practical achievements in landscape morphology. First, we choose five landscape morphology indexes based on the morphological constituent units of the landscape (elongation, rectangular compactness, concavity, ellipse compactness, and fractal dimension). Then, using the self-organizing map (SOM), we create an identification model for clustering the types of constituent units. The experimental results show that the identification model can classify polder morphology and analyze the distribution of units using typical polders in the Yangtze River's south bank as study cases. This article presents a technical approach to polder landscape morphology classification as well as a reference and developable quantitative analysis method for landscape morphology research.