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林业科学 ›› 2021, Vol. 57 ›› Issue (2): 12-21.doi: 10.11707/j.1001-7488.20210202

• 论文与研究报告 • 上一篇    下一篇

森林色彩景观格局指数与色彩属性指标对观赏效应的影响

贾娜,史久西*,秦一心,格日勒图,张龙   

  1. 中国林业科学研究院亚热带林业研究所 杭州 311400
  • 收稿日期:2019-10-11 出版日期:2021-02-25 发布日期:2021-03-29
  • 通讯作者: 史久西
  • 基金资助:
    长三角城市群生态安全保障关键技术研究与集成示范(2016YFC0502704)

Influence of Forest Color Landscape Pattern Indices and Color Attribute Indicators on Ornamental Effect

Na Jia,Jiuxi Shi*,Yixin Qin,Letu Geri,Long Zhang   

  1. Research Institute of Subtropical Forestry, CAF Hangzhou 311400
  • Received:2019-10-11 Online:2021-02-25 Published:2021-03-29
  • Contact: Jiuxi Shi

摘要:

目的: 探讨森林色彩景观格局指数(简称色彩格局指数)、色彩属性指标与观赏效应值(SBE)之间的量化关系,建立观赏效应评价模型,筛选影响SBE的关键指标,以期为森林色彩景观格局配置提供指导。方法: 以长三角地区典型山地森林景观为对象,应用PS、ColorImpact、CAD、ArcGIS、Fragstics软件工具划分色彩斑块、计算色彩格局指数,借助心理物理学方法获取观赏效应量值,统计分析色彩格局指数、色彩属性指标与SBE之间的相关关系,建立观赏效应评价模型,筛选影响SBE的关键指标。结果: Pearson相关分析结果显示,最大斑块相对面积(r=-0.31,P < 0.05)、森林色彩分布模式(r=-0.690,P < 0.01)、蔓延度指数(r=-0.398,P < 0.01)与色彩观赏效应值显著(P < 0.05)或极显著(P < 0.01)负相关;平均斑块分维数(r=0.322,P < 0.05)、香侬多样性指数(r=0.352,P < 0.05)、景观丰度((r=0.655,P < 0.05)、全色明度(r=0.482,P < 0.01)与色彩观赏效应值显著或极显著正相关;景观水平指数与SBE相关性高于斑块水平指数,全色属性指标与SBE相关性高于主、辅色属性指标;全色色差、边缘密度、周长面积比3个指标间均极显著正相关(r>0.800,P < 0.01),主色相对面积与蔓延度指数间极显著正相关(r=0.862,P < 0.01)、蔓延度指数与香侬多样性指数间极显著负相关(r=-0.862,P < 0.01)、主色相对面积与香侬多样性间极显著负相关(r=-0.866,P < 0.01);SBE评价模型(R2=0.834 4)显示,全色相对面积大但主色相对面积较小、色斑边缘曲折自然且形状趋向圆满、色彩丰富但空间分布不均匀、趋向聚集又不完全连成一体、色斑镶嵌自然有序的森林色彩景观的观赏效应高;本研究首次提出的森林色彩分布模式指标对SBE的影响极显著(r=-0.690,P < 0.01),色彩格局疏密变化有致、秩序感高、自然性强的色彩分布模式的SBE高。结论: SBE与色彩格局指数之间存在显著、极显著相关关系,基于此建立评价模型,应用色彩格局指数进行色彩观赏效应评价的方法可行。

关键词: 森林色彩, 色彩格局, 彩色量化, 色彩观赏效益

Abstract:

Objective: To investigate the quantitative relationship between forest color landscape pattern indices (referred to as color pattern index), color attribute indicators and scenic beauty estimation (SBE); to establish an ornamental effect evaluation model; to screen for key indicators affecting SBE; to provide guidance for forest color landscape pattern allocation. Method: Typical mountain forest landscapes in the Yangtze River Delta region were studied, PS, Color Impact, CAD, ArcGIS, and Fragstics software tools were employed to divide color patches; calculate color pattern indices; obtain SBE via psychophysical method; generate statistics; analyze correlations between color pattern indices, color attribute indicators and SBE; establish an ornamental effect evaluation model and screen for key indicators affecting SBE. Result: The Pearson correlation analysis showed that the maximum patch relative area (r=-0.311, P < 0.05), forest color distribution model (r=-0.690, P < 0.01), and contagion index (r=-0.398, P < 0.01) were significantly (P < 0.05) or highly significantly negatively (P < 0.01) correlated with color SBE. Average patch fractional dimension (r=0.322, P < 0.05), Shannon's diversity index (r=0.352, P < 0.05), landscape abundance (r=0.655, P < 0.05), and panchromatic brightness (r=0.482, P < 0.01) were significantly and highly significantly positively correlated with color SBE. The landscape level index was more correlated with SBE than the patch level index, and the panchromatic attribute index was more correlated with SBE than the main and auxiliary color attribute indices. The correlation among the three indicators of panchromatic chromatic aberration, edge density and perimeter area ratio was highly significant (r>0.800, P < 0.01). There was a highly significant positive correlation between the relative area of the main color and contagion (r=0.862, P < 0.01), a highly significant negative correlation between the contagion and Shannon's Diversity Index (r=-0.862, P < 0.01), and a highly significant negative correlation between the relative area of the main color and Shannon's diversity index. The SBE evaluation model (R2=0.834 4) showed that forest color landscapes exhibited great ornamental effect if they tended to aggregate but did not completely connect, panchromatic relative area was large but main color relative area was small, color patches had natural curvilinear edges and perfect shape, colors were rich but displayed uneven spatial distribution, and color patches had natural and orderly mosaics with high ornamental effect. The effect of forest color distribution model indicators on SBE, which was proposed for the first time in this study, was highly significant (r=-0.690, P < 0.01), and the SBE of the color distribution model was high if the model featured favorable changes in color pattern, a high sense of order and strong naturalness. Conclusion: There are significant and highly significant correlations between SBE and color pattern index, it is feasible to apply the color pattern index for color ornamental effect evaluation using the established eveluation model.

Key words: forest color, color pattern, color quantification, color ornamental effects

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