Relationship between Forest Color Characteristics and Scenic Beauty: Case Study Analyzing Pictures of Mountainous Forests at Sloped Positions in Jiuzhai Valley, China

Zhang, Zhe; GuangFa, Qie; Wang, Cheng; Jiang, Shasha; Li, Xi; Li, Mingxia

doi:10.3390/f8030063

Cited by 37 publications

(57 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, previous studies have found that the quality of community landscapes in a group was higher than uniformly and randomly distributed landscapes [46]. However, when investigating the degree of aggregation of landscape color patches, it was found that excessively gathered color patches may negatively affect the emotional state of people, but landscapes with more color patches are more likely to be favored by observers [32,47]. On the other hand, a colorful, attractive street edge may distract drivers, which could lead to more accidents than the "monotonous" green landscapes.…”

Section: Spatial Distribution Of Colorsmentioning

confidence: 96%

“…The confidentiality of each participant was assured with no data collected to associate a person to their response and respondents were not required to participate. An initial six questions (1-6) ascertained gender, age, education level, occupation, province (China province currently residing in), and work with forests (ascertained if respondent works with forests as a function of their occupation) following the methods of Zhang [32]. Respondents were then asked in following 81 questions to rate the scenic beauty of each image through the statement "Please choose the degree of beauty according to your perception" by using a seven-point evaluation method ranging from -3 (Dislike Very Much) to +3 (Like Very Much).…”

Section: Questionnaire Design Proceduresmentioning

confidence: 99%

“…Kaufman and Lohr found that all trees with green and red color appearances evoked positive responses [23], but the preference also depends on the environment [29] and other indicators. A landscape rich with colors can give people a better visual experience than a single color [30][31][32]. Seasonal change in color is important [21,32] and the overall landscape color change in spring and summer getting higher scores from evaluators [26].The proportion and distribution of color affects people perceptions and preference for landscapes and people have preferred a natural color pattern [23].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Effects of Design Proportion and Distribution of Color in Urban and Suburban Green Space Planning to Visual Aesthetics Quality

Hauer

2020

Forests

View full text Add to dashboard Cite

Landscape color provides visual attractiveness and is an important landscape architecture construct in design and with aesthetics. Along roadways, plant color in a midground position provides a potential location readily seen by people. However, few studies have quantitatively explored the impact of a green (original) only compared to additions of color on the visual aesthetic quality (VAQ) in this spatial location. In this study, visual images were constructed to contrast four red color proportions (25%, 50%, 75% and 100% of midground) and four color spatial distributions (Red-Single, Red-Group, Green-Single and Green-Group) mixed with three landscapes texture classes (rigid = narrowleaf coniferous, soft = broadleaved, and mixed = both) in the background. As red color proportion increased, VAQ also increased. In the original all green landscape, the background setting had a significant impact on VAQ, but the texture plant design of the foreground had no significant impact on the landscape VAQ. Broadleaved (M VAQ = 63.2) and coniferous landscapes (M VAQ = 55.9) were rated as more attractive than a mixed landscape (M VAQ = 27.9). From the perspective of design color, increasing the proportions of color can improve the VAQ of the landscape. This study indicates that aesthetic quality becomes highest when the color proportion of the middle ground layer was greatest at C 100 (M VAQ = 79.7). Comparing the four spatial color distributions, the single distributed green landscape (M VAQ = 60.9) and the group distributed landscape when started with red (M VAQ = 54.0) had the higher quality than the others. Findings from this study can be used to support public authorities and urban planners to effectively design and manage urban spaces to meet dwellers' needs.Visual aesthetic quality (VAQ) is an index to potentially rate USG [9][10][11] and use by decision makers to design and install landscapes that link people and nature [12,13] and best express people's preferences for landscapes. Most VAQ research comes from landscape studies on agriculture [14], architecture [15], and rural forestry applications [16]. Thus, testing the application of VAQ models into UGS provides another land use to explore the application in built environments.Vegetation imparts aesthetics through color, texture, and form [17]. Other vegetation features, such as the tree stand age and horizontal structure, also show some significant influence on quality [18]. Color is an important element of visual perception and evaluation [19,20] and as much as 80% of people's visual perception comes from color [21]. Thus, vegetation color is an important factor to evaluate and measure to index landscape beauty [3]. Understanding human preference for the color can lead to more attractive UGS through the impact of color on visual beauty.Many studies have shown that plant color is an important factor affecting people's evaluation [6,[22][23][24], but these studies mainly focus on the color change of individual tree parts, such as the leaf [25,26] and flower [27] of a...

show abstract

Section: Spatial Distribution Of Colorsmentioning

confidence: 96%

Section: Questionnaire Design Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Effects of Design Proportion and Distribution of Color in Urban and Suburban Green Space Planning to Visual Aesthetics Quality

Hauer

2020

Forests

View full text Add to dashboard Cite

show abstract

“…This vigorously promotes the development of forest-based tourism destinations and triggers visitors' pursuit of high-quality forest landscape accordingly. However, only a limited number of studies to date in China have focused on the assessment of FLQ [12,[16][17][18][19][20][21]. Theoretically or empirically, the exiting studies lag far behind the development practice of China's forest tourism [22].…”

Section: Introductionmentioning

confidence: 99%

Assessing and Mapping Forest Landscape Quality in China

Zhong

Deng

2019

Forests

View full text Add to dashboard Cite

Forest landscape plays a critical role in the resource management and recreational planning of forest destinations. An assessment of forest landscape quality (FLQ) could reflect the distribution of landscape resources, hence identifying the hotpots and areas with high visual quality and protection values. The objective of this study is to propose, for the first time, a methodology for assessing FLQ at the national level. Based on China's forestry inventory database, the paper identified landform patterns and vegetative patterns as determinants (including 12 indicators) to establish an evaluation index system, and further implemented and mapped FLQ using the ArcGIS Engine platform. Results show high mountain ranges and tropical areas in China often have a high-quality forest landscape, while low FLQ scores are found in low mountains and foothills. The distribution of the four FLQ levels indicates most forest areas are featured with mediocre-or low-quality landscape values, and the differences of FLQ among different forest types are obvious. Furthermore, there is a relatively low correlation between the total forest area and the area of high-quality forest landscape. Overall, this study could contribute to enriching the existing assessment system for FLQ and to guiding the planning, policy development, and decision-making for China's forestry administration.

show abstract

“…As to the field of landscape architecture, plant color, as one of the most prominent aesthetic features of vegetation landscape, is always taken into account in urban greening and plant landscape design . Finer‐scaled visual assessments of color can allow us to exactly annotate plant colors, the dominant color composition in the nature world, which can shed light on a reasonable color choice in an artificial landscape design when in pursuit of a harmony with the local nature.…”

Section: Discussionmentioning

confidence: 80%

Color characteristics of Beijing's regional woody vegetation based on Natural Color System

Xing

Hao

Dong

2019

Color Research & Application

View full text Add to dashboard Cite

Seasonality is a typical characteristic of Beijing's regional vegetation, and plant color is one of the most prominent visual factors of vegetation dynamic. In this research, we explored the composition and dynamic characteristics of plant color in Beijing's urban vegetation, involving the analysis of overall characteristics and respective features of leaf, flower, and fruit colors. Color data was collected from 177 woody plant species in Beijing Botanical Garden, spanning their annual life cycle, and identified with the colorimetry of the Natural Color System (NCS). Correlation and regression analyses were applied to reveal the temporal dynamic features of overall plant color richness. Cluster analysis was applied to categorize tree species based on typical colors of various plant organs. Color richness and color dispersion were introduced as two factors to measure color diversity of various tree species, applied in species evaluation by sorting and principal component analysis (PCA). Color dispersion of three‐dimensional NCS data was measured with a modified SD based on the calculation of mean spatial distance in the NCS space. Main results are as follows. The first part is plant color composition. The composition of all plant colors contains 862 NCS color species, 20 blackness species ranging from 3 to 90, 20 chromaticness species ranging from 0 to 90, 35 hue species ranging from G10Y‐B90G, and N. The second part is temporal dynamic of overall color richness. Leaf color richness and total color richness are significantly positively correlated with pentad (5‐day) sequence; flower color richness is significantly negatively correlated with pentad sequence; and fruit color richness first increases and then decreases over time. The third part is cluster analysis of tree species. Based on typical growing‐leaf color, various tree species were clustered into 6 categories; based on typical senescent‐leaf color, various tree species were clustered into 6 categories; based on typical flower color, various tree species were clustered into 15 categories; based on typical fruit color, various tree species were clustered into 7 categories. The fourth part is color diversity evaluation of various tree species with PCA. According to the PCA of flower‐leaf color diversity, the species with higher leaf color diversity and higher flower color diversity include Cotinus coggygria, Lagerstroemia indica, and Amygdalus triloba; the species with higher flower color diversity and lower leaf color diversity include Campsis radicans and Tamarix chinensis; the species with higher leaf color diversity and lower flower color diversity include Acer ginnala and Crataegus pinnatifida; the species with lower color diversity both for flower and leaf colors include Fontanesia fortune and Gleditsia sinensis. According to the PCA of leaf color diversity, the species with higher leaf color diversity in both leaf growth period and leaf senescence period include Diospyros kaki, Lagerstroemia indica and Paeonia suffruticosa; the species with hi...

show abstract

Relationship between Forest Color Characteristics and Scenic Beauty: Case Study Analyzing Pictures of Mountainous Forests at Sloped Positions in Jiuzhai Valley, China

Cited by 37 publications

References 15 publications

Effects of Design Proportion and Distribution of Color in Urban and Suburban Green Space Planning to Visual Aesthetics Quality

Effects of Design Proportion and Distribution of Color in Urban and Suburban Green Space Planning to Visual Aesthetics Quality

Assessing and Mapping Forest Landscape Quality in China

Color characteristics of Beijing's regional woody vegetation based on Natural Color System

Contact Info

Product

Resources

About