不同森林景观的均匀性如何影响参与者的视觉行为和偏好评价意向--中国北方(辽宁)森林景观案例研究

IF 2.7 3区 农林科学 Q2 ECOLOGY Frontiers in Forests and Global Change Pub Date : 2024-03-21 DOI:10.3389/ffgc.2023.1243649
Yu Gao, Xiaomei Sun, Zhi Zhang, Weikang Zhang, H. Meng, Tong Zhang
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引用次数: 0

摘要

在景观设计师和林业工作者规划和管理森林景观资源时,高质量的林内景观非常重要。本研究采用眼动跟踪技术和虚拟现实图片方法,将人们对不同景观均匀度(IFLDLU)林内景观的视觉信息可视化和数字化,并采用 MANOVA、单因素方差分析、Spearman's rho 相关分析和 SPSS 线性回归对数据进行统计分析。本研究旨在探讨景观均匀性对人们视觉行为、满意偏好和重看意向的影响,揭示林中场景的空间认知特征引起人们视觉关注和重看意向的主要原因。(1)林内景观的均匀性影响人们的观察模式;(2)人们的视觉注意力在不同林内景观均匀性上存在差异,主要体现在视觉跨度和瞳孔直径上;(3)总体而言,人们更喜欢集群分布的林内景观,对其有更高的再看意愿;(4)引起参与者视觉行为、满意偏好和再看意愿的空间认知特征随林内景观均匀性的变化而变化。其中,许多空间认知特征应在林中景观的随机分布中得到优化,以激发更高的满意偏好和重游意向。因此,我们建议在规划、设计和管理林内景观时,应根据林内景观的景观均匀性改进和优化空间认知特征,以引起参与者的积极视觉注意,增强其对场所的认同感,使其 "恋恋不舍",并进一步激发其对场所的依恋。
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How does the landscape uniformity in different forest landscapes affect the visual behavior and preference evaluation intention of participants—a case study of forest landscape in northern China (Liaoning)
High-quality in-forest landscapes are very important when landscape designers and foresters are planning and managing forest landscape resources. Understanding people’s visual behavior toward in-forest landscapes plays an important role in creating high-quality in-forest landscapes.People’s visual information about in-forest landscapes with different landscape uniformity (IFLDLU) was visualized and digitized by eye-tracking technology and virtual reality method of picture, and the data were statistically analyzed by MANOVA, one-way ANOVA, Spearman’s rho correlation analysis, and linear regression in SPSS.This study aimed to discuss the influence of landscape uniformity on people’s visual behavior, satisfaction preference, and re-viewing intention, and to reveal the main reasons for the spatial cognitive characteristics of in-forest scenes that arouse their visual attention and re-viewing intention.(1) The landscape uniformity of the in-forest landscape (IFL) affects people’s observation mode; (2) People’s visual attention differs across in-forest landscape uniformity, as mainly reflected in visual span and pupil diameter; (3) Overall, people prefer a cluster distribution of in-forest landscapes, for which they have higher re-viewing intentions; (4) Spatial cognitive characteristics that arouse participants’ visual behavior, satisfaction preference, and re-viewing intention vary with the landscape uniformity of in-forest landscapes. Among them, many spatial cognitive characteristics should be optimized in random distribution for IFL, arousing higher satisfaction preference and re-viewing intention. Therefore, when planning, designing, and managing in-forest landscapes, we suggest that spatial cognitive characteristics should be improved and optimized based on the landscape uniformity of the IFL to arouse participants’ positive visual attention, enhance their place identity, make them “reluctant to bid farewell,” and further arouse their place attachment.
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来源期刊
CiteScore
4.50
自引率
6.20%
发文量
256
审稿时长
12 weeks
期刊最新文献
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