Skip to main navigation Skip to search Skip to main content

Advances in LiDAR technology in the field of animal ecology

Shun Li, Liang Zou, Yinan Gong, Haitao Yang, Tianming Wang, Limin Feng, Jianping Ge

Research output: Contribution to journalReview articlepeer-review

Abstract

LiDAR (light detection and ranging), a fairly new active remote sensing technology, is being widely used in the field of animal ecology by more and more scholars due to the recent development where forest parameters can be extracted and inverted from LiDAR. In this paper, we review the advances in forest parameter extraction from LiDAR and its many applications in studying wildlife habitat. We also analyze current research on forest parameter inversion algorithms based on LiDAR, mainly in forestry research, though we lack quantitative parameters related to the ecological significance of animals. Because few studies have applied LiDAR technology to animal ecology research in China, we consider foreign research in this field in three categories: (1) The relationship between species habitat selection and three-dimensional forest structure; (2) Three-dimensional habitat mapping; (3) Biodiversity assessment and species distribution model prediction. Compared with traditional methods, the high-precision three-dimensional structure information provided by LiDAR can significantly improve the efficacy of monitoring animal habitat quality and biodiversity and the modelling accuracy of species distribution models. These advancements contribute to deeper understanding of species habitat selection and the clustering process mechanism. However, the studies that utilize LiDAR to date have mainly focused on previously known ecological relationships, especially the relationship between canopy structure and species diversity. These studies fail to account for either forest understory habitat quality or biodiversity monitoring and evaluation. In short, the relationship between wildlife and its three-dimensional habitat needs to be further explored through analysis of LiDAR data. Future studies should focus on extracting three-dimensional structures of forest understories to improve the efficacy of monitoring habitat quality and biodiversity in the understory, and to provide standard quantitative indicators for the evaluation of animal ecology.

Original languageEnglish (US)
Pages (from-to)1021-1031
Number of pages11
JournalBiodiversity Science
Volume27
Issue number9
DOIs
StatePublished - 2019

Keywords

  • Animal habitat monitoring
  • Biodiversity
  • Remote sensing
  • Species distribution

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Nature and Landscape Conservation

Fingerprint

Dive into the research topics of 'Advances in LiDAR technology in the field of animal ecology'. Together they form a unique fingerprint.

Cite this