4.7 Review

Landscape ecology development supported by geospatial technologies: A review

期刊

ECOLOGICAL INFORMATICS
卷 51, 期 -, 页码 185-192

出版社

ELSEVIER
DOI: 10.1016/j.ecoinf.2019.03.006

关键词

Landscape ecology; Fractal theory; Geographic information systems; Remote sensing; Geospatial technologies

类别

资金

  1. National Natural Science Foundation of China [41871357]
  2. Sichuan Basic Science and Technology Project [18YYJC1148]
  3. Branch of Mountain Sciences, Kathmandu Center for Research and Education, CAS-TU, Chengdu, China [Y8R3310310]
  4. Hundred Young Talents Program of the Institute of Mountain Hazards and Environment [SDSQB-2015-02]
  5. One-Three-Five Project of Chinese Academy of Sciences [SDS-135-1708]
  6. Science and Technology Service Network Program of the Chinese Academy of Sciences [Y8R2020022]

向作者/读者索取更多资源

Numerous technologies have contributed to the recent development of landscape ecology, especially the geospatial technological advances constitute a revolution in landscape ecology. Extensive applications of geospatial technologies, such as fractal theory, geographic information systems (GIS) and remote sensing (RS) in landscape ecology research, suggest the necessity of such a review of research progress in this field. In this study, a brief introduction to fractal theory, GIS and RS and how they were applied in landscape ecology were provided first. Then, the current state-of-the-art was summarized and analyzed as reference for further promoting the development of landscape ecology science and its applications. Finally, opportunities and challenges of landscape ecology applications using these new technologies were discussed and concluded for future research. It was contended that a combination and integration of these technologies can substantially advance the study of landscape ecology for data acquisition, process modeling, scale transformation, result analysis and visualization. However, as no theoretical framework and application cases of applying an integration of fractal theory, GIS and RS techniques to landscape ecology research have been established, further studies are still much needed.

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