Lidar: shedding new light on habitat characterization and modeling
Abstract
Ecologists need data on animal–habitat associations in terrestrial and aquatic environments to design and implement effective conservation strategies. Habitat characteristics used in models typically incorporate (1) field data of limited spatial extent and/or (2) remote sensing data that do not characterize the vertical habitat structure. Remote sensing tools that directly characterize three-dimensional (3-D) habitat structure and that provide data relevant to organism–habitat interactions across a hierarchy of scales promise to improve our understanding of animal–habitat relationships. Laser altimetry, commonly called light detection and ranging (lidar), is a source of geospatial data that can provide fine-grained information about the 3-D structure of ecosystems across broad spatial extents. In this review, we present a brief overview of lidar technology, discuss recent applications of lidar data in investigations of animal–habitat relationships, and propose future applications of this technology to issues of broad species-management and conservation interest.
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Recent advances in Light Detection and Ranging (LiDAR) technology have enabled much improved measurements of vegetation structure applicable to animal ecology studies.
“Recent advances in Light Detection and Ranging (LiDAR) technology have enabled much improved measurements of vegetation structure applicable to animal ecology studies [24,25].”
From Effects of Vegetation Structure on the Location of Lion Kill Sites in African Thicket (2016) · cites this paper as [25]
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References 43 · Cited by 527
- Authors
- Vierling, K. T., Vierling, L. A., Gould, W. A., Martinuzzi, S., & Clawges, R. M.
- Affiliations
- University of Idaho (US)
- US Forest Service (US)
- South Dakota School of Mines and Technology (US)
- Corresponding author
- Vierling, Kerri T
- Venue
- Frontiers in Ecology and the Environment
- Publisher
- Wiley
- Published
- 2008-03
- Volume
- 6
- Issue
- 2
- Pages
- 90-98
- ISSN
- 1540-9295 (ISSN-L)
- OpenAlex
- W2073597988
- Cited by
- 527
- References
- 43
- Citations by year
- 2026: 21 · 2025: 19 · 2024: 19 · 2023: 21 · 2022: 16 · 2021: 34 · 2020: 27 · 2019: 34 · 2018: 31 · 2017: 30 · 2016: 48 · 2015: 42 · 2014: 42 · 2013: 42 · 2012: 39
- FWCI
- 19.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Frontiers in Ecology and the Environment (publishedVersion)
- Funders
- National Science Foundation
- U.S. Geological Survey
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Remote Sensing and LiDAR Applications
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- LiDAR, laser altimetry, habitat characterization, habitat modeling, remote sensing, conservation, species management, ecosystem structure
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