基于图论的景观图表达、分析及应用

doi:10.13287/j.1001-9332.202010.014

应用生态学报 ›› 2020, Vol. 31 ›› Issue (10): 3579-3588.doi: 10.13287/j.1001-9332.202010.014

基于图论的景观图表达、分析及应用

宋利利¹, 秦明周², 张鹏岩^2*, 夏艺菲¹, 马杰¹, 曹娓¹

¹河南科技学院园艺园林学院, 河南新乡 453003;
²河南大学环境与规划学院, 河南开封 475004

收稿日期:2020-05-02 接受日期:2020-07-29 出版日期:2020-10-15 发布日期:2021-04-15
通讯作者: * E-mail: pengyanzh@henu.edu.cn
作者简介:宋利利, 女, 1982年生, 博士, 讲师。主要从事景观生态和城乡土地利用方面的研究。E-mail:hnkj2008@126.com
基金资助:
国家自然科学基金项目(41901237)和河南省高等学校重点科研计划项目(19B170004)资助

Representation, analysis and application of landscape graph based on graph theory

SONG Li-li¹, QIN Ming-zhou², ZHANG Peng-yan^2*, XIA Yi-fei¹, MA Jie¹, CAO Wei¹

¹College of Horticulture and Landscape, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China;
²College of Environment and Planning, Henan University, Kaifeng 475004, Henan, China

Received:2020-05-02 Accepted:2020-07-29 Online:2020-10-15 Published:2021-04-15
Contact: * E-mail: pengyanzh@henu.edu.cn
Supported by:
National Natural Science Foundation of China (41901237) and the Key Scientific Research Projects of Higher Education Institutions in Henan Province (19B170004).

摘要/Abstract

摘要： 景观结构和空间格局一直是景观生态学的核心问题,图论的应用为景观格局的分析提供了一种研究框架,基于图论的景观图逐渐被应用于生物多样性保护的连通性建模和景观规划的决策支持研究,景观图的表达、分析和应用已成为保护生物学和景观生态学研究的热点。本文首先介绍了景观图的图论基础,在Scopus数据库的基础上,检索了1993—2019年在标题、摘要和关键词中出现 “landscape graph”、“connectivity”和“network”词汇的257篇已发表的期刊论文。从年发文量、来源期刊、研究区域、研究机构、景观类型等方面分析了该领域的研究进展和发展趋势。分析发现,2017年之前,发表的期刊论文数量整体呈上升趋势,2017年之后年发文量逐年下降;主要研究力量集中在美国、西班牙、法国、加拿大和中国,发文量占到86.8%。大部分研究成果发表在“Landscape Ecology”、“Landscape and Urban Planning”和“Biological Conservation”期刊上。在研究内容上,景观图表达主要包括点的定义、边的度量和景观的模拟3方面,景观图分析研究包括分析指数、景观图划分两方面。我们重点关注了景观图在生物多样性保护、景观(生态网络)规划和管理、景观影响评价等科学与实践中的应用。基于图论的景观图通过帮助理解景观连通性变化、动物行为和栖息地保护,影响着保护科学和规划实践者。图论对保护科学和规划的影响来自于丰富的理论基础和成熟的研究方法,基于图论的景观图为景观结构和格局的生态学理解提供了跳板,并将继续成为全球研究人员和实践者的重要工具。

关键词: 图论, 景观图, 连接度, 生态网络

Abstract: Landscape structure and spatial pattern are the core issues in landscape ecology. The application of graph theory provides a research framework for landscape pattern analysis. Landscape graph based on graph theory is gradually applied to the connectivity modeling of biodiversity conservation and decision support of landscape planning. The representation, analysis and application of landscape graph have become a hot topic in conservation biology and landscape ecology. In this review, we first introduced the graph theory basis of landscape map. Based on the Scopus database, 257 published journal papers with the words “landscape graph”, “connectivity” and “network” in titles, abstracts, and keywords from 1993 to 2019 were retrieved. We analyzed the research progress and development trend of this field from the aspects of annual published papers, journal sources, research areas, research institutions and landscape types involved. The results showed that before 2017, the number of journal papers published showed an overall increasing trend, and after 2017, the annual number of published papers decreased year by year. The main research forces were concentrated in United States, France, Canada, and China, contributing to 86.8% of the total published papers. Most of the research results were published in “Landscape Ecology”, “Landscape and Urban Planning”, and “Biological Conservation”. In the research content, the representation of landscape graph mainly included the definition of nodes, the measurement of edges and the simulation of landscape. The analysis of landscape graph involved analysis index and landscape graph partitioning. This study mainly focused on the application of landscape graph in science and practice, including biodiversity conservation, landscape (ecological network) planning and management, the assessment of landscape impacts. Landscape graph based on graph theory influences conservation science and planning practitioners by helping understand landscape connectivity changes, animal behavior and habitat conservation. The impact of graph theory on conservation science and planning comes from the rich theoretical basis and mature research methods. Landscape graph based on graph theory provides a springboard for ecological understanding of landscape structure and pattern, and is an important tool for global researchers and practitioners.

Key words: graph theory, landscape graph, connectivity, ecological network

宋利利, 秦明周, 张鹏岩, 夏艺菲, 马杰, 曹娓. 基于图论的景观图表达、分析及应用[J]. 应用生态学报, 2020, 31(10): 3579-3588.

SONG Li-li, QIN Ming-zhou, ZHANG Peng-yan, XIA Yi-fei, MA Jie, CAO Wei. Representation, analysis and application of landscape graph based on graph theory[J]. Chinese Journal of Applied Ecology, 2020, 31(10): 3579-3588.

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基于图论的景观图表达、分析及应用

Representation, analysis and application of landscape graph based on graph theory

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