The effect of seasonal change of plants compositions on visual perception/sezoninio augalijos sudeties pokycio itaka vizualiam suvokimui.
Mountains are important sources of water, energy and biological diversity. Their altitudinal range leads to variations in temperature, precipitation and radiation that constitute numerous habitats. Mountainous regions cover more than 20% of the world's surface but only 10% of the world's population live in or around them (Karadeniz, Gunes 2002; Csereklye 2010). In recent years, mountain ecosystems have been studied in relation to global warming, erosion, and negative changes in water resources (e.g. pollution), as well as for their rich biological diversity. Increasing tourism and recreation in mountain areas have fueled people's wish to know more about mountains (Acar et al. 2006).
Approximately two-thirds of Turkey's total land area is classified as mountainous: 56.6% of the land mass is > 1000 m and 29.9% is between 1000-1500 m (Atalay 2002). The mountains of North Anatolia and Taurus, which are part of the Alpine-Himalayan mountain belt, have played important roles in supporting "yayla" (local people visiting and/or living on very high plateaus), in stockbreeding activities and in cultural needs.
Nowadays, protecting and managing landscapes have become an important issue because of previous inappropriate land-use activities, mainly caused by population growth. Evaluation of natural resources can be based on land use, protection or combination of both. Thus, the physical and ecological resources that contribute to visual features are the basis of the scenic landscape and important in evaluation and management. The human observer of the visual landscape is also important when defining landscapes (Appleton 1975; Ulrich 1986; Bell 1993; Daniel, Maitner 2001; Behbahani, Haghighi 2009). Because of trying to supply increasing human needs, natural balance and the relations between humanity and nature have been forced. According to Yilmaz, H. and Yilmaz, S. (1997), owing to changing needs and technological improvements, cities which possess human and natural-cultural environments, have some negative effects on socio-cultural life of people. One of the most important problems in urban areas is lack of open green areas which provide rising to some ecological balance problems, which threats future of cities. Therefore, living in a natural and beautiful environment is desired by human choosing appropriate plant species regarding to aesthetical and functional ways can be done (Kelkit 2002).
During the landscape design and planning, conservation of natural or cultural areas should be the major purpose. Doubtless plants are the most important elements of planting design. (Acar 1997; Acar et al. 2002). Plants' contributions to the environment are not only aesthetical such as leafs, fruits and flowers but also ecological and identity transmitting (Eroglu et al. 2006).
Colour, texture, size and form are the main instruments for plant compositions. Among all, because of the visual perception, the most significant one is colour. Being the most changeable elements of nature and giving emotional perceptions, which define physiological situations, are the characteristics of colours. Differences in colours can easily be recognized, from very far distances, thus they sometimes provide different functions in short and long terms (Acar et al. 2007). Using colours is the best way to show the differences in plant compositions depending on seasons because people can mostly realize the differences from the colours (Nelson 2004; Robinson 2004).
Plants should be evaluated as plant composition materials in the researches regarding environmental perception, because of design instruments. In this kind of researches participants' answers are defined to be important materials for identifying the effects of compositions (Altman, Wohlwill 1983; Nasar 1988). According to Ulrich et al. (1991), density of plants in an area made people relax. Serpa and Muhar (1996) claimed that small trees were perceived closer when comparing with bigger ones. Plant texture was the another important component. Plants having thinner branches and leafs were perceived closer. Summit and Sommer (1999) made it clear that similar plant forms were perceived similarly and forms had important semantic differences. According to Misgav (2000), some forest areas and plant groups were evaluated in the way of visual quality. As the other interesting result, Jorgensen et al. (2002) found that older plants were very effective for the users to feel more secure near the borders of forests.
Akbar et al. (2003) claimed that plants situated along a road play an important role in beauty concept of the road. Most of the participants defined the plants located along the road as "graceless" and "brown". According to the same study, people often preferred to see cosmopolite plant compositions than monotones. Muderrisoglu and Eroglu (2006) detected that plants had different visual perception value covered by snow. For instance, Cedrus atlantica (Endl.) Carr. has no visual perception differences depending on the seasons, while Pinus slyvestris L. was defined as "more beautiful" under snow body. In addition, Muderrisoglu et al. (2006) found that pyramid forms were defined more beautiful than the rest when being solitary.
Delphi and semantic difference techniques are often used in visual perception studies (Litton 1968; Carry 1974; Kaplan 1979; Daniel, Vinning 1983; Ozgen 1984; Ulrich 1986; Amir, Sabol 1990; Tahvanainen et al. 2000; Daniel, Meitner 2001; Acar et al. 2003; Eroglu 2004; Muderrisoglu, Eroglu 2006; Muderrisoglu et al. 2006). In this study, seasonal changes in plant compositions were thought to have an important effect on the perceiving of them. Therefore, our aims were:
--To identify effects of seasonal changes on visual perception,
--To determine what kind of compositions in which season affect perception of people,
--To identify which group of plants is effective as seasonal changing in planting design.
[FIGURE 1 OMITTED]
As a result, the relations between plants and plant groups and users' request and the differences owing to different socio-economical groups and perception styles were defined.
2. Material and methods
2.1. Study area
The research was carried out in the open and green areas of Duzce. This area was selected because it had never been used for this purpose. Such limited arranged area in the city was the most important element affecting the selection of sample area negatively. Because of having the densest use in the city and being arranged in terms of the landscape architecture or showing these characteristics were taken into consideration, the area was significant for the study.
Duzce province, the research field is located between the 400 40-400 47' north altitudes and 310 21'-310 26' east longitudes and, situated in the North West part of Black Sea region, in Turkey. It shows the climate of western part of Black Sea and Mediterranean Macroclimate as well as the climate of Marmara region. Winters are snowier than the real Mediterranean climate and freezing often occurs. The research field has a characteristic of large-based plain with a little slope; large part of this region consists of alluvial soil. Duzce takes place (from the three flora regions) in the Euro-Siberian Euxine subregion and A3 square. This region is not rich for endemism; however, there are some endemic species in the high mountainous parts. In addition, the region has a rich structure with respect to natural species found in it. (Yaltirik, Efe 1989; Kesim 1996; Mansuroglu 1997; Ozyuvaci 1999; Anonymous 2001) (Fig. 1).
The plants in the open and green areas of the city Duzce were the main material of this study. The photos of several plants and plant groups were used as the questionnaire material. Photos to determine four seasons differences of the compositions during a year were taken from roads and refuges from, Inonu Park, Anit Park-City Park and Celalettin Ozdal Park. Especially, woody plants were chosen for taking photos due to the human eye perception level and above. In plants as a basis, 1 m and 20-30 m lengths were selected for low and high limit, respectively. The compositions including these plants were preferred also in the vegetative design evaluations.
2.3.1. Determination and photographing of the plant groups
Studies carried out concerning the visual evaluations, were done only by the experts brought up misleading results. Because of the fact that the preferences made by the experts according to the criteria, they did not show parallelism with the users' (Litton 1968; Daniel, Vinning 1983; Ulrich 1986). For this reason, both groups in the study were taken into evaluation.
Carry (1974), Kaplan (1985), and Amir and Sabol (1990) evaluated showing the reactions of the public to the photograph groups as an effective method in the description of the landscape elements. Photographs of 18 different plant groups were taken from roads and refuges of Inonu Park, Anit Park-City Park and Celalettin Ozdal Park.
The selected compositions consist of a single plant or its composition having a solitaire characteristic, or of compositions that have evergreen or deciduous plants and that are evenly distributed.
Taking photographs was carried out in the middle of the four seasons and hours having the same amount of light. The difference only in the angular decrease according to the seasons could be seen by the amount of light. Moreover, photographs were taken from the same point and in the same objective adjustment for each season. In the photographing an automatic camera was used, which could be zoomed 140 mm.
In order to determine the ratios of plant distribution on the visions of the photograph groups, area calculation was carried out. During area calculation, Auto-CAD architectural design program was used. Plants were evaluated into the two groups such as the areas consisting of deciduous and evergreen plants on the photographs.
2.3.2. Evaluation of photograph by experts
Due to the fact that the safety of the evaluation was significant, it could be done by experts, specialized in this subject (Hess, King 2002). This method was used to determine the developed habitat by Crance (1987). Several alternatives were improved and these were evaluated by the specialists in two steps. In the study done with parallel to this method called Delphi Method, specialists were used in order to determine the photograph groups.
The photographs were sent to the academicians, specialized in this subject in the Turkish Universities together with the evaluation questionnaire by e-mail. Evaluation questionnaire was prepared as a Word document. In the questionnaire, they were asked to evaluate the photograph groups as follows: inappropriate--appropriate--most appropriate for the subject.
In the first stage, 14 out of the 28 specialists responded to the questionnaires. In the second stage, photographs were sent to the specialist group of 11 people for the eliminations and only four of the specialists responded. The photograph groups that were evaluated as appropriate and most appropriate were chosen according to the responses. After this determination, the number of the photograph groups, which was 18, was decreased to 10.
2.3.3. Carrying out the questionnaires and their evaluation
The questionnaires were administered to the students of Abant Izzet Baysal University, Duzce Campus. These student groups consisted of three different student groups from the Faculty of Forestry, Faculty of Education and Faculty of Medicine. Totally, 370 questionnaires were carried out in November 2003 and February 2004. Dwyer (1994) stated that as the ages of users increased their participation in recreational activities decreases and that the highest recreational participants were young people between the ages of 18-24. This age group defined the users in the university in Turkey. Therefore, in this study, recreational experiences and demographic characteristics of university students had been examined.
The method developed by Osgood et al. (1957) is known as "Semantic Differential Scale Technique" or "Semantic Differential Technique". According to it, the opposite adjective pairs are determined and these adjective pairs are offered to the subjects with a scale, and then the subjects mark the choices that are suitable for them from the scale.
The questionnaires were performed by visual evaluations of the photograph groups transferred to the computer one by one by reflecting by means of a projector. According to Penning-Rowsell (1979), in the landscape quality and visual evaluation, the responses of the evaluators were true and good (Misgav 2000).
In the questionnaire, the determined adjective groups were given to the subjects for evaluation and selected in a way to show the differences between the visual quality and the design perception in the plant groups. Visual quality implicates the emotions, but visual strength was determined by the physical characteristics. They were determined as "disliked-liked", "ugly-beautiful", "disturbing-comforting", "unimpressive-impressive", "unsafety-safety", "artificial-natural", "Unattractive-attractive", "untidy-tidy" and "plain-ornamented". Summit and Sommer (1999) divided the adjective pairs into two groups in determining the perception of the plant forms. In addition, Acar et al. (2003) aimed to compare the adjective pairs as negative and positive within themselves while classifying the adjective pairs. In this study, handling the adjective pairs comparatively was the main purpose.
The determined adjective pairs were written down in the questionnaire. In the questionnaire, each determined adjective pairs was evaluated as 5-point such as -2, -1, 0, 1, 2. Besides, in order to determine whether there was a difference in the questionnaire according to the socioeconomic structures of the subjects or not, the subjects were asked about their residences, incomes, gender and the school they attended.
The data were analysed using the SPSS (Statistical Package for Social Science) 15.0 statistical package (Acar et al. 2003, 2007; Eroglu 2004; Eroglu et al. 2006; Alkan et al. 2009).
In order to input the data to the computer, the values of 1, 2, 3, 4, 5 were used instead of -2, -1, 0, 1, 2. Besides, for the markings not to be taken into consideration, 0 was used.
Factor analysis was used in the explanation of adjective pairs; correlation analysis was used in the evaluation of the adjectives seasonally and in the determination of the socio-economic differentiation. Finally, in order to find out the criteria determining changes in the perception of adjective groups and their degrees of effect, regression analysis was used with the Stepwise method.
In Table 1, the evaluation codes of the gathered data are shown. According to table, 61% of the participants were male, 39%--female, 34% of students were from Natural and Applied Sciences, 36% Medical Sciences and 30% Social Sciences. In addition, 57% of the participants lived in the city center, 29% in the towns, 5% in the neighbourhoods and 9% in the villages. Their income levels: 59% were between $0-750, 33% were $751-1500 and 8% were over $1500.
3.1. Explanation of adjective pairs
Factor analysis was used in the explanation of the effective adjective pairs. In this study 9 adjective groups were taken into evaluation. As seen in Table 2, two factors were found, explained by 63.6% variance. I. factor was explained with the variance of 49.1%. I. factor included 7 adjective groups. In that 7 adjective groups of the adjective pairs were determined to show the visual quality of the compositions by two factors: disliked-liked, ugly-beautiful, disturbing-comforting, unimpressive-impressive, unsafety-safety, unattractive-attractive and plain-ornamented. II. factor was explained with the variance of 14.5%. II. factor included 4 adjective pairs to show the design strength of the compositions: unattractive-attractive, plain-ornamented, artificial-natural and untidy-tidy. The adjective pairs: unattractive-attractive and plain-ornamented were effective in the evaluation of both groups.
3.2. The relationships between the photograph groups and the adjective pairs
During determining the relationship between the photograph groups and the adjective groups, arithmetical means of the values and standard deviations were found. According to these results, the photograph groups 5 and 7 provided the highest visual quality and the strength values. The value of the lowest visual quality and the strength were in the photograph groups 1 and 9. Generally, participants found the photograph groups positive in terms of both design strength and visual quality. These relationships between the adjective groups and the photograph groups are given in Table 3 (Fig. 2, 3).
[FIGURE 2 OMITTED]
[FIGURE 3 OMITTED]
3.3. The relationships between the seasons and the adjective pairs
In order to determine the relationships between the seasons and the adjectives, correlation analysis was carried out. As a result, the relationship directly proportional to quality and strength, and adjectives from the fall to summer was found. Summer was the one having the highest quality and strength adjectives while the winter had the lowest. This relationship between the seasons and the adjectives are presented in Table 4.
3.4. The relationships between the areas that the plants cover on the photographs and the adjective pairs
Correlation analysis was carried out during determining the relationships between the areas that the plants covered on the photographs and the adjective groups therefore true perceptional relationship was found between the evergreen plants and deciduous plant ratio and quality and strength groups in the compositions. The relationship in the ratio of the evergreen and the deciduous in the compositions could be explained as follows. According to this, as the ratio of the deciduous in the composition increases, the visual quality of the compositions also increased and as the ratio of evergreen in the composition increase, the compositions were perceived stronger in terms of designation. The relation between the evergreen and deciduous plant ratio and just the adjective pair regular-irregular were opposite. As the ratio of the plant groups in the compositions increase, the groups were perceived more irregular (Table 5).
3.5. The effect of photograph groups and characteristics of the participants on the perception of the adjective groups
The regression analysis was carried out with Stepwise Method for determining the effect of photograph groups and the characteristics of participants on the adjective groups. The relationships defining the adjective groups were shown with these analyses. These groups defining the perception of photograph groups included the seasons determining the visual quality, the ratio of evergreen and deciduous plants on the photograph, residence, income, and gender were effective. From these results, the season was the most effective determinant. It was followed by gender and the ratios of evergreen and deciduous plants. In the determination of the design strength of the groups, seasons, the amount of evergreen and deciduous plant on the photograph, education, residence and gender were the determinants. Eventually, gender was the most effective determinant determining design strength. After gender, the most effective determinant was seasons (Table 6).
In this study, it was tried to find out solutions for some specific questions and these solutions were stated. Effects on the perception of plant compositions within the city landscape were stated.
According to Zolingen and Klaassen (2003), it was important for the suitability to the objective to benefit from the specialists in the definition of the issue. The evaluations sent to the specialists were carried out in two turns and that affected the result of the technique positively. By using "Delphi Technique" or "Specialists' Technique" as the method, the main goal of the first study was to eliminate the 18 photograph groups and determine the photographs that were suitable for the objective. In the first turn, the photographs were sent to 28 specialists and 14 of them sent back their responses, and in the second turn, from the first pre-elimination results sent to 14 specialists only 4 specialists sent back their responses. In the light of the responses obtained, the number of the photograph groups was decreased to 10 and they were evaluated in the questionnaire.
Summit and Sommer (1999) gathered the adjective pairs in two main groups during the determination of visual perception of the tree forms. The first group indicated the visual quality of the forms while the second group indicated their design strength. The adjective pairs of strongly, permanent, sound and ornamented determined the design strength, as the visual quality was determined by the adjectives comforting, beautiful, safety, tough, and sincere. As a result of the analysis done in this study, the adjective pairs were gathered in two main groups and these were called as quality and strength adjectives. Visual quality was stated by admiration, liked, safety, impressive, comforting and beauty while design strength was stated by order, plain, tidy, attractive and natural.
Misgav (2000) stated that long trees had higher visual preferences than short trees and bushes. The plant groups consisting the photograph groups evaluated within the research include long trees and being the visual quality values of photograph groups high were in a supportive way. In addition, the plants that have high visual quality were evergreen plants and their several compositions. According to the earlier studies, increasing in the density of evergreen plant compositions in the photograph groups also caused increasing the visual quality of the photographs groups. However, in this study, the effects of evergreen plants on visual quality were lower than the deciduous plants (Table 5).
Jorgensen et al. (2002) detected that flowering and growing leaves in the plants changed directly proportional to the perception of safety. It was also mentioned in the same study that winter photographs were evaluated as the least reliable group. A range of safety perception was determined in the form of Summer-Spring-Fall-Winter.
Plant groups had important role in the perception of roadside beauty (Akbar et al. 2003). Although being a single kind in the research area made the area seen positively in terms of beauty and liked, it was stated that people adopted mixed vegetations more than that type of vegetation. In the case of handling the photograph group 9 as roadside vegetation within the research, it was seen that a single type (Robinia pseudoacacia DC. cv. 'Umbraculifera') was formed. Although both design strength and visual quality of this photograph group were high, visual quality values in the other photograph groups were low. This may be interpreted such that the group included single type and that the other groups were taken reciprocally.
While the highest visual quality and design strength values were seen in the photograph groups 5 and 7, the lowest values were seen in the photograph groups 1 and 9. As a significant effect of that result, the group 5 and 7 had richness on the plant types on the photos, altitude in the ratio of evergreen plants and especially more colour changes according to the seasons. Seasons and the richness of the species in the mixed compositions showed especially different colourings in the same compositions, and affected the visual perception positively. It showed that particularly the fourth season values of the group 7 were high.
In general, in the summer when deciduous plant compositions relatively increase and reach the highest level, the visual quality and design strength of the compositions increase. However, in this study, it was found out that photograph groups 5 and 7, especially group 7, had the most balanced mixture ratios and the highest design strength and visual quality value and it showed that neither evergreen plants nor deciduous plants alone were taken place. For this reason, in order to provide the seasonal distribution of the compositions and make the values of visual perception high, there should be a good balance between both the evergreen plants and the deciduous plants.
There was a close relationship between the visual quality and design powers of photograph groups and seasons, particularly it was seen in the range of Summer-Spring-Fall-Winter from a preference from more to less. The increase in green colouring on the leaves affected the visual quality positively. Moreover, summer was perceived natural and tidy in contrast to winter. The green colour was a symbol of naturalness and form changes of the plants with growing leaves, hence the road to naturalness, showed the regularity in the designs.
Serpa and Muhar (1996) stated that gender played an important role on the perception of the plants that people lived around. Strumse (1996) indicated that gender, age, the surroundings people lived and their experiences were effective on visual perception and besides in this study, demographical structure was the determining element in the perception of seasonal change of the plants. Women participants especially found summer photographs and compositions more artificial, opposite to men participants. This effect was the same like increasing in the income level. In the residence from rural areas to downtowns, this relationship was similar.
In conclusion, the effects of seasonal changes of the plant compositions on human beings were determined with this research. However, it is known that not only the seasons but also several other effects are important in the perception of the compositions. In order to get more productive results for this study, participation of the specialists should be higher. In addition, in the demographical structure in this research, only students were aimed. Apart from the students, an experiment of the same kind to public and specialist can be done. The following results were obtained from this research.
1. Proportional increase in evergreen and deciduous plants affected the compositions visually positive. However, the increase in deciduous plants was more effective in visual quality whereas the increase in evergreen plants affected the design strength of compositions more.
2. The plant compositions were preferred more in summer than winter as visual.
3. Flowering and leafing in the plants affected the safety perception of the compositions.
4. In the evaluation of the visual perception, the responses by the participants were very important and their demographical structures were effective in this perception. Especially, gender and residence also played an effective role.
5. The observations in this study pointed to the importance of future studies to examine all the features such as foliage, flowers and fruits altogether, as well as form colour, texture and size.
6. Some evergreen and deciduous plants such as Robinia pseudoacacia DC. cv. 'Umbraculifera' and Cedrus atlantica (Endl.) Carr. effected on visual perception of seasonal change of plant composition. So that, like these plants may be used in landscape for designing and planting design.
7. All of the results showed that seasonal effects of plant compositions in planting design is a visual event and was effected perception of people. So, landscape designers and operators should be evaluated that in their landscape projects and applications.
Submitted 26 Jan. 2011; accepted 20 Jun. 2011
Acar, C. 1997. A Research on Using Facilities for Landscape Architecture of Some Indigenous Groundcover Plants Which grown in The Trabzon City and Its Environments: PhD Thesis. K.T.U.
Acar, C.; Acar, H.; Eroglu, E. 2007. Evaluation of Ornamental Plant Resources to Urban Biodiversity and Cultural Changing: A Case Study of Residential Landscapes in Trabzon City (TURKEY), Building and Environment 42: 218-229. http://dx.doi.org/10.1016/j.buildenv.2005.08.030
Acar, C.; Demirbas, E.; Dincer, P.; Acar, H. 2003. Evaluation of semantic differantial scale technique for plant composition samples, S.D.U. Journal of Faculty of Forestry 1: 15-28.
Acar, C.; Acar, H.; Demirbas, E. 2002. Visual pollution in urban space importance of plants and plant composition, G.U. Journal of Faculty of Forestry 2: 41-48.
Akbar, K. F.; Hale, W. H. G.; Headley, A. D. 2003. Assessment of scenic beauty of the roadside vegetation in northern England, Landscape and Urban Planning 63(3): 139-144. http://dx.doi.org/10.1016/S0169-2046(02)00185-8
Alkan, H.; Korkmaz, M.; Tolunay, A. 2009. Assessment of primary factors causing positive or negative local perceptions on protected areas, Journal of Environmental Engineering and Landscape Management 17(1): 20-27. http://dx.doi.org/10.3846/1648-6897.2009.17.20-27
Altman, I.; Wohlwill, E. J. 1983. Behavior and the Natural Environment. New York: Plenum Press. ISBN 0-306-41099-0.
Amir, S.; Sabol, F. 1990. The use of geomorphological elements for evaluation of visual quality of israel coast, Geo Journal 21(3): 233-244. http://dx.doi.org/10.1007/BF02428508
Anonymous. 2001. Government Statistic Instutue Publications in 2001. Available from Internet: http// die.gov.tr
Behbahani, H.; Haghighi, F. 2009. Presentation of land-use and traffic efficiency assessment, Journal of Environmental Engineering and Landscape Management 2: 131-139. http://dx.doi.org/10.3846/1648-6897.2009.17.Ia-Ii
Bell, S. 1993. Elements of Visual Design in the Landscape. London: E & FN Spon. http://dx.doi.org/10.4324/9780203358146
Carry, J. W. 1974. Scenic analysis and assessment, CRC Critical Reviews in Environmental Control 4(1-1): 231-250.
Crance, J. H. 1987. Guidelines for using the Delphi technique to develop habitat suitability index curves, U.S. Fish and Wildlife Service Biological Reports 82: 10-134.
Csereklye, E. K. 2010. Monitoring of landscape combination and concourses in the Hungarian Danube-Bend, Journal of Environmental Engineering and Landscape Management 18 (1): 5-12. http://dx.doi.org/10.3846/jeelm.2010.01
Daniel, T. C.; Meitner, M. M. 2001. Representational validity of landscape visualizations: the effects of graphical realism on perceived scenic beauty of Forest Vistas, Landscape and Urban Planning 21(1): 61-72. http://dx.doi.org/10.1006/jevp.2000.0182
Daniel, T. C.; Vinning, J. 1983. Methological Issues in Assessment of Visual Landscape Quality, in Human Behavior and Environment, vol. 6. Ed. by I. Altman, J. Wohlill. New York: Plenum Press, 38-84.
Dwyer, F. M. 1994. One dimension of visual research: A paradigm and its implementation, in Visual literacy: a spectrum of visual learning. Ed. by D. Moore, F. Dwyer. Englewood Cliffs, NJ: Educational Technology Publications, 383-401.
Eroglu, E. 2004. Examining the Seasonal Variation of Some Plants and Plants Groups in Duzce City Open and Green Areas on Planting Design Perception: Master Thesis. A.I.B.U.
Eroglu, E.; Acar, C.; Ayhan, N. 2006. Eastern Black Sea Region Under Storey Forest Flora of Some of the Important Elements of the Aesthetic and Functional Use of Landscape Architecture in Terms of Potential Assessment, in The 1st International Non-Wood Forest Products Symposium in Trabzon. Trabzon, 518-524,
Hess, G. R.; King, T. J. 2002. Planning open spaces for wildlife: I. selecting focal species using a Delphi Survey Approach, Landscape and Urban Planning 58(1): 25-40. http://dx.doi.org/10.1016/S0169-2046(01)00230-4
Jorgensen, A.; Hitchmough, J.; Calvert, T. 2002. Woodland spaces and edges: their impact on perception of safety and preference, Landscape and Urban Planning 60(3): 135-150. http://dx.doi.org/10.1016/S0169-2046(02)00052-X
Kaplan, R. 1985. The analysis of perception via preferences: a strategy for studying how the environment is experienced, Landscape and Urban Planning 12: 161-166. http://dx.doi.org/10.1016/0304-3924(85)90058-9
Kaplan, R. 1979. Visual Resources and the Public: An Empirical Approach, in Proceedings of Our National Landscape, A Conference on Applied Techniques for Analysis and Management of the Visual Resource, coord. by G. H. Elsner, R. C. Smardon, 209-215.
Karadeniz, N.; Giines,, G. 2002. Mountain ecosistems and Sustainable Approaches. Mountains of Turkey, in 1st National Symposium, July 25-27, Ilgaz Mountain.
Kelkit, A. 2002. Canakkale city plant materials used in open-green areas: a research, Journal of Ecology and Environment 11(43): 17-21.
Kesim, G. A. 1996. Duzce and the City of Open Green Issues and Measures to be Taken a Research on Determination, 5, Bolu: A.I.B.U. Publications.
Litton, R. B. 1968. Forest Landscape Descrition and Inventories: a Basis for Land Planning and Design. Berkeley: Pacific Southwest Forest and Range Exp. STM.
Mansuroglu, S. G. 1997. Duzce Lowland Research on Optimal Land Use Planning: PhD Thesis. Cukurova University, Institute of Science.
Misgav, A. 2000. Visual preference of the public for vegetation groups in Israel, Landscape and Urban Planning 48: 143-159. http://dx.doi.org/10.1016/S0169-2046(00)00038-4
Miderrisoglu, H.; Eroglu, E. 2006. Differences in visual perception of some coniferous trees under snow load, S.D.U. Journal of Faculty of Forestry 1: 136-146.
Muderrisoglu, H.; Eroglu, E.; Ak., K.; Aydin, [section]. O. 2006. visual perception of tree form, Building and Environment 41: 796-806. http://dx.doi.org/10.1016/j.buildenv.2005.03.008
Nasar, L. J. 1988. Environmental Aesthetics (Theory, Research and Applications). USA: Cambridge University Press. ISBN 0-521-42916-1.
Nelson, W. R. 2004. Planting Design: a Manual of Theory and Practice. 3rd ed. Champaign: Stipes Publishing Company.
Osgood, C. E.; Suci, G. J.; Tannenbaum, P. H. 1957. The Measurement of Meaning. New York: The University of Illinois Press.
Ozgen, Y. 1984. Eastern Black Sea coastal region between the Ordu-Rize road landscape features, reveal landscape architecture in terms of research on the problems and solutions, I.U. Journal of Faculty of Forestry 34 (2), 20-27.
Ozyuvaci, N. 1999. Meteorology and Climatology. Publication Number: 460. Istanbul: IU Faculty of Forestry Publications.
Penning-Rowsell, E. C. 1979. The Social Value of English Landscape, in Proceedings of Our National Landscape, A Conference on Applied Techniques for Analysis and Management of the Visual Resource, coord. by G. H. Elsner, R. C. Smardon, 249--255.
Robinson, N. 2004. The Planting Design Handbook. 2nd ed. England: Ashgate Publishing Ltd,.
Serpa, A.; Muhar, A. 1996. Effects of plant size, texture and colour on spatial perceptions in public green areas--A cross-cultural study, Landscape and Urban Planning 36(1): 19-25. http://dx.doi.org/10.1016/S0169-2046(96)00330-1
Strumse, E. 1996. Demographic differences in the visual preferences for agrarian landscape in western Norway, Journal of Psychology 16(1): 17-31.
Summit, J.; Sommer, R. 1999. Further studies of preferred tree shapes, Environment and Behavior 31(4): 550-576. http://dx.doi.org/10.1177/00139169921972236
Tahvanainen, L.; Tyrvainen, L.; Ihalainen, M.; Vuorela, N.; Klohmainen, O. 2000. Forest management and public perceptions--visual versus verbal information, Landscape and Urban Planning 53: 53-7. http://dx.doi.org/10.1016/S0169-2046(00)00137-7
Ulrich, R. S. 1986. Human responses to vegetation and landscape, Landscape and Urban Planning 13: 26-44. http://dx.doi.org/10.1016/0169-2046(86)90005-8
Ulrich, R. S.; Simons, R. F.; Losito, B. D.; Fiorito, E.; Miles, M. A.; Zelson, M. 1991. Stress recovery during exposure to natural and urban environments, Journal of Environmental Psychology 11: 210-230. http://dx.doi.org/10.1016/S0272-4944(05)80184-7
Yaltirik, F.; Efe, A. 1989. Systematic Textbook Herbaceous Plants. Istanbul: IU Printing and Film Center.
Yilmaz, H.; Yilmaz, S. 1997. Landscape Urban Planning with Identity be Felt, in London Symposium Proceedings, Ankara: Ltd. harmony. Sti., 349-352.
Zolingen, S. J.; Klaassen, C. A. 2003. Selection processes in a Delphi Study about key qualifications in senior secondary vocational education, Landscape and Urban Planning 70(4): 317-340. http://dx.doi.org/10.1016/S0040-1625(02)00202-0
Engin EROGLU. Research Assistant (since 2000), Department of Landscape Architecture, Faculty of Forestry, Karadeniz Technical University, Trabzon, Turkey. Research interests: planting design, ground cover plants, native plants, alpine and subalpine plants, rural landscape.
Haldun MUDERRISOGLU. Assoc. Prof. Dr (since 2008), Department of Landscape Architecture, Faculty of Forestry, Duzce University, Trabzon, Turkey. Research interests: recreational planning, carrying capacity, rural landscape, conservation areas, visual assessment.
Guniz AKINCI KESIM. Prof. Dr (since 1998), Department of Landscape Architecture, Faculty of Forestry, Duzce University, Trabzon, Turkey. Research interests: landscape architecture, open and green areas, environmental issues.
Engin Eroglu (1), Haldun Miiderrisoglu (2), Guniz Akinci Kesim (2)
(1) Department of Landscape Architecture, Faculty of Forestry, Karadeniz Technical University, 61080 Trabzon, Turkey
(2) Department of Landscape Architecture, Faculty of Forestry, Duzce University, 81000 Duzce, Turkey
E-mail: (1) firstname.lastname@example.org (corresponding author)
Table 1. Characteristics of the participants and their evaluation codes Characteristics of the participants Code % Male 1 61 Gender Female 2 39 Natural and Applied Sciences 1 34 Education Medical Sciences 2 36 Social Sciences 3 30 City 1 57 Town 2 29 Living Area Village 3 5 Rural area 4 9 0-500 1 59 Income S 501-1000 2 33 1000+ 3 8 Autumn 1 25 Winter 2 25 Seasons Spring 3 25 Summer 4 25 0-17% 1 25 Decidous Plant 17.1-34% 2 40 Area 34.1-51% 3 25 51.1-68% 4 10 0-5% 1 27.5 Everygreen 5.1-10% 2 22.5 Plant Area 10.1-15% 3 12.5 15.1-20% 4 37.5 Table 2. Effective adjective pairs affecting the compositions (Factor Analysis) Adjectives Factor I (Quality) Factor II (Strength) Disliked-liked 0.87 Ugly-beautiful 0.85 Disturbing-comforting 0.85 Unimpressive-impressive 0.85 Unsafety-safety 0.79 Unattractive-attractive 0.67 0.34 Plain-ornamented 0.56 0.50 Artificial-natural 0.70 Untidy-tidy 0.57 Variance (%) 49.1 14.5 Mean 3.34 2.80 Cronbach's Alpha 0.88 0.42 Table 3. Adjective groups defining the photograph groups (Arithmetic Means) Adjective Groups Photograph Groups a b c d e f 1 M 3,4 3,5 3,5 2,9 3,3 3,0 S. D 1,2 1,1 1,1 1,3 1,1 1,4 2 M 3,3 3,4 3,3 3,1 3,2 2,4 S. D 1,4 1,3 1,3 1,3 1,3 1,4 3 M 3,7 3,7 3,7 3,4 3,5 2,6 S. D 1,1 1,1 1,5 1,2 1,2 1,3 4 M 3,5 3,6 3,4 3,2 3,3 2,4 S. D 1,2 1,2 1,3 1,3 1,2 1,2 5 M 4,1 4,0 4,0 3,8 3,7 3,1 S. D 1,0 1,0 1,1 1,1 1,1 1,5 6 M 3,3 3,3 3,2 3,0 3,1 2,4 S. D 1,3 1,2 1,3 1,3 1,2 1,3 7 M 4,0 4,0 3,9 3,8 3,7 2,6 S. D 1,0 1,0 1,0 1,1 1,0 1,3 8 M 3,8 3,8 3,7 3,6 3,4 2,2 S. D 1,2 1,2 1,2 1,3 1,2 1,3 9 M 3,4 3,4 3,2 3,0 3,2 3,2 S. D 1,3 1,3 1,3 1,4 1,3 1,4 10 M 3,7 3,7 3,6 3,4 3,4 2,8 S. D 1,1 1,1 1,1 1,3 1,2 1,3 Total M 3,6 3,6 3,5 3,3 3,4 2,7 S. D 1,2 1,2 1,2 1,3 1,2 1,4 Adjective Groups Photograph Groups g h i Quality Strength 1 M 2,6 2,7 2,5 3,0 2,6 S. D 1,3 1,3 1,3 0,9 0,7 2 M 2,9 3,0 2,7 3,1 2,7 S. D 1,3 1,4 1,3 1,0 0,7 3 M 2,9 2,7 2,7 3,4 2,7 S. D 1,3 1,3 1,4 0,9 0,8 4 M 3,1 2,9 2,8 3,3 2,8 S. D 1,3 1,3 1,3 0,9 0,7 5 M 3,3 2,3 3,3 3,8 3,0 S. D 1,3 1,3 1,4 0,9 0,8 6 M 3,0 3,1 2,7 3,1 2,8 S. D 1,4 1,3 1,3 1,0 0,7 7 M 3,5 2,6 3,3 3,7 3,0 S. D 1,2 1,2 1,3 0,8 0,7 8 M 2,9 2,5 2,9 3,4 2,7 S. D 1,4 1,3 1,4 1,0 0,8 9 M 2,8 2,1 2,6 3,0 2,6 S. D 1,4 1,3 1,4 1,0 0,8 10 M 3,2 2,7 3,1 3,4 3,0 S. D 1,3 1,3 1,3 1,0 0,8 Total M 3,0 2,7 2,9 3,3 2,8 S. D 1,3 1,3 1,4 1,0 0,8 a. Disliked-liked; b. Ugly-beautiful; c. Disturbing-comforting; d. Unimpressive-impressive; e. Unsafety-safety; f. Artificial-natural; g. Unattractive-attractive; h. Untidy-tidy; i. Plain-ornamented; M: Mean, S. D: Standard Deviation Table 4. The relationships between the seasons and the adjective pairs according to correlation analysis Adjective Groups a b c d e Seasons 0,17 *** 0,17 *** 0,17 *** 0,16 *** 0,16 *** Adjective Groups e f g h Seasons 0,16 *** -0,34 *** 0,16 *** -0,56 *** Adjective Groups i Quality Strength Seasons 0,15 *** 0,21 *** 0,10 *** * p < 0.05, ** p < 0.01, *** p < 0.001; a. Disliked-liked; b. Ugly-beautiful; c. Disturbing-comforting; d. Unimpressive-impressive; e. Unsafety-safety; f. Artificial-natural; g. Unattractive-attractive; h. Untidy-tidy; i. Plain-ornamented Table 5. The relationships between the adjective pairs and the plant areas on the photographs according to correlation analysis Adjective Groups a b c d Everygreen Plants 0,07 *** 0,06 *** 0,04 *** 0,09 *** Decidous Plants 0,11 *** 0,12 *** 0,12 *** 0,10 *** Adjective Groups e f g h Everygreen Plants 0,02 -0,09 *** 0,06 *** 0,05 *** Decidous Plants 0,11 *** -0,15 *** 0,11 *** 0,03 *** Adjective Groups i Quality Strength Everygreen Plants 0,06 *** 0,08 *** 0,04 *** Decidous Plants 0,07 *** 0,13 *** 0,02 * p < 0.05, ** p < 0.01, *** p < 0.001; a. Disliked-liked; b. Ugly-beautiful; c. Disturbing-comforting; d. Unimpressive-impressive; e. Unsafety-safety; f. Artificial-natural; g. Unattractive-attractive; h. Untidy-tidy; i. Plain-ornamented Table 6. The effect of photograph groups and characteristics of participants on the adjective groups according to regression analysis Adjective Groups Characteristics of a b c d the participants Coefficient 3 *** 3 *** 3 *** 2.5 *** Seasons 1.6 *** 0.15 *** 1.6 *** 0.17 *** E. P. 0.07 *** 0.07 *** 0.05 *** 0.10 *** D. P. 0.07 *** 0.09 *** 0.09 *** 0.06 *** Living Area 0.05 *** 0.06 *** 0.02 * 0.03 ** Income -0.08 *** -0.09 *** -0.04 * Gender -0.08 *** Education -0.05 *** -0.06 *** 0.03 * [R.sup.2] 0.04 0.05 0.04 0.04 F 100.4 * 114.3 *** 107.9 *** 93.5 *** Adjective Groups Characteristics of e f g h the participants Coefficient 3 *** 4 *** 2.5 *** 2.3 *** Seasons 0.15 *** 0.03 ** 0.16 *** -0.09 *** E. P. 0.02 *** -0.11 *** 0.07 *** 0.05 D. P. 0.07 *** -0.02 *** 0.08 *** 0.08 *** Living Area 0.05 *** 0.04 *** Income 0.04 * 0.05 ** Gender -0.03 *** -0.20 *** -0.06 * Education 0.06 *** -0.06 *** 0.08 *** [R.sup.2] 0.03 0.04 0.04 0.01 F 114.7 *** 108.5 100.5 25.6 Adjective Groups Characteristics of i Quality Strength the participants Coefficient 2.5 *** 3 *** 3 *** Seasons 0.19 *** 0.16 *** 0.07 *** E. P. 0.07 0.07 *** 0.03 D. P. 0.07 *** Living Area 0.03 ** 0.02 * Income -0.03 * 0.03 ** Gender -0.27 *** -0.09 *** -0.21 *** Education 0.05 ** 0.03 ** [R.sup.2] 0.04 0.06 0.03 F 141.2 145.3 71.4 * p < 0.05, ** p < 0.01, *** p < 0.001; a. Disliked-liked; b. Ugly-beautiful; c. Disturbing-comforting; d. Unimpressive-impressive; e. Unsafety-safety; f. Artificial-natural; g. Unattractive-attractive; h. Untidy-tidy; i. Plain-ornamented; E. P: evergreen plants; D. P: deciduous plants.
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|Author:||Eroglu, Engin; Muderrisoglu, Haldun; Kesim, Guniz Akinci|
|Publication:||Journal of Environmental Engineering and Landscape Management|
|Date:||Sep 1, 2012|
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