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Related Experiment Video

Updated: Nov 26, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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[Representation, analysis and application of landscape graph based on graph theory].

Li-Li Song1, Ming-Zhou Qin2, Peng-Yan Zhang2

  • 1College of Horticulture and Landscape, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|December 14, 2020
PubMed
Summary

Landscape graph theory aids biodiversity conservation and landscape planning by analyzing connectivity. This review examines research trends, key institutions, and applications of landscape graphs in ecology and conservation science.

Keywords:
connectivityecological networkgraph theorylandscape graph

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Area of Science:

  • Landscape ecology
  • Conservation biology
  • Graph theory applications

Background:

  • Landscape structure and spatial pattern are central to landscape ecology.
  • Graph theory offers a robust framework for landscape pattern analysis.
  • Landscape graphs are increasingly vital for connectivity modeling and planning support.

Purpose of the Study:

  • To review the research progress and trends in landscape graph applications.
  • To analyze the representation, analysis, and application of landscape graphs.
  • To highlight the role of landscape graphs in conservation science and planning.

Main Methods:

  • Systematic literature search of Scopus database (1993-2019) using keywords: "landscape graph", "connectivity", "network".
  • Analysis of publication trends, journal sources, research areas, institutions, and landscape types.
  • Review of landscape graph representation, analysis techniques, and practical applications.

Main Results:

  • A rising trend in publications until 2017, followed by a decrease.
  • Major research contributions from the United States, France, Canada, and China.
  • Key journals include 'Landscape Ecology', 'Landscape and Urban Planning', and 'Biological Conservation'.

Conclusions:

  • Landscape graphs, grounded in graph theory, are crucial for understanding landscape connectivity and informing conservation strategies.
  • They provide essential tools for biodiversity conservation, ecological network planning, and impact assessment.
  • The integration of graph theory enhances ecological understanding and practical applications in landscape management.