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引入状态认知的景观特征评估三元体系构建

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过去30多年中,景观特征评估(landscape character assessment,LCA)在世界范围内得到广泛推广,包括景观特征识别和评价2个阶段.目前研究的重心主要在识别阶段的方法和技术方面,而识别和评价阶段的研究逻辑还有待强化,2个阶段的关系则有待挖掘.在传统LCA体系基础上,需通过景观特征因子综合组成与权重赋予来聚焦化识别阶段的对象,强调判断与赋值的过程,以进一步明确评价阶段的目的和价值导向,引入和构建由构成、格局、属性三方面景观指标组成的状态认知阶段,从而将传统LCA相互独立、分离的二元体系转变为相互关联并具有逻辑递进的三元体系.目的是进一步丰富、连续和深化LCA各阶段的研究内容,有助于LCA向后端发展,以指导应用实践.
Transformation of the Binary System for Landscape Character Assessment into a Ternary System by Incorporating State Cognition
Landscape Character Assessment(LCA)has been widely promoted worldwide in the past thirty years,including two stages:landscape character identification and evaluation.Currently,the research focuses mainly on the methods and techniques of the identification phase,while the research logic of the identification and evaluation phases needs to be strengthened and the relationship between the two phases needs to be explored.On the basis of the traditional LCA system,it is necessary to focus on the object of the identification through the comprehensive composition and weighting of landscape characteristic factors,and further emphasize the judgment and assignment to clarify the purpose of the evaluation.The state cognition is introduced and constructed by the composition,pattern,attributes of the three aspects of the landscape indicators,thus transforming the traditional LCA independent and separate binary system into an interrelated and logically progressive ternary system.The purpose is to further complete,continue and deepen the research content of each stage of LCA,which will help LCA to develop towards the back-end to guide the application practice.

landscape architecturestate cognitionternary systemlandscape indicatorlandscape character assessment

吴雨浓、潘玉莲、孙译远、刁俊宇、张斌

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西南大学园艺园林学院(重庆400715)

华中农业大学园艺林学学院(武汉430070)

中铁十五局集团城建设计研究院(武汉430010)

农业农村部华中都市农业重点实验室

全国风景园林专业学位研究生教育指导委员会

中国风景园林学会文化景观专业委员会

湖北省风景园林学会教育专业委员会

湖北省自然保护地专家委员会

武汉风景园林学会(武汉430070)

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风景园林 状态认知 三元体系 景观指标 景观特征评估

2024

中国园林
中国风景园林学会

中国园林

CSTPCD北大核心
影响因子:1.108
ISSN:1000-6664
年,卷(期):2024.40(12)