Biodiv Sci ›› 2021, Vol. 29 ›› Issue (1): 0-0.DOI: 10.17520/biods.2020219

   

The contributions of animal movement network researches to landscape ecology

Yuehui Li,Yuanman Hu   

  1. Institute of Applied Ecology, Chinese Academy of Sciences
  • Received:2020-05-27 Revised:2020-08-12 Online:2021-01-20 Published:2020-09-09
  • Contact: Yuehui Li

Abstract: In the 1980’s when landscape ecology emerged, scientists conceived the nascent ideas about landscape networks. Those ideas needed to be gradually realized in exploring the concrete landscape processes. Animal movement process is greatly different from other un-organic processes because animals feed complexly back to surrounding environment and provide a variety of biological attributes in each corridor or patch, which was found out to contribute particularly to realize those ideas and improve landscape ecology. Therefore, it is significant to summarize the development of animal movement networks research and its contributions to landscape ecology. Here, we firstly analyzed the earlier ideas of movement networks, network index and landscape connectivity and sought out landscape ecology thoughts embedded in those ideas. Then, we tracked how those ideas were realized, developed, and shaped to 3 current focuses of modeling movement networks, estimating importance of network elements and examining functional landscape connectivity. Summarizing the research progresses of those 3 focuses, we pointed out it is necessary trend to integrate animal behavior. Finally, we illustrated that the movement networks research have been seeking to describe biological attributes on corridor or patch and the spatial heterogeneity of those attributes, which realized and developed those earlier ideas and contributed to landscape ecology more particularly than other un-organic processes. Also, summarizing movement network research progress in China, we pointed out there is a gap behind the developed countries, which have failed to make special contributions to ongoing research in Chinese landscape ecology. We highlighted importance and necessity of behavioral ecology researches deriving from GPS tracking data to improve the animal movement networks research to narrow the gap. This paper aimed to spark guiding concerns for animal movement networks and landscape ecology, providing reference for scientists.