ArticleFrontiers in microbiology2017
Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert.
Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Trace gas oxidation supports sub-surface microbial communities across Namib Desert fog and aridity gradients.Applied and environmental microbiology · 2026Article
- Kinetics and pathways of sub-lithic microbial community (hypolithon) development.Environmental microbiology reports · 2024Article
- 'Follow the Water': Microbial Water Acquisition in Desert Soils.Microorganisms · 2023Review
- The effect of the water source on niche partioning of chlorolichens and cyanobacteria-implications for resilience?Planta · 2023Article
- Novel lichen-dominated hypolithic communities in the Namib Desert.Microbial ecology · 2022Article
- Rapid imaging in the field followed by photogrammetry digitally captures the otherwise lost dimensions of plant specimens.Applications in plant sciencesArticle
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hyper-arid central region of the Namib Desert is characterized by quartz desert pavement terrain that is devoid of vascular plant covers. In this extreme habitat the only discernible surface covers are epilithic lichens that colonize exposed surfaces of quartz rocks. These lichens are highly susceptible to disturbance and so field surveys have been limited due to concerns about disturbing this unusual desert feature. Here we present findings that illustrate how non-destructive surveys based upon advanced photogrammetry techniques can yield meaningful and novel scientific data on these lichens. We combined 'structure from motion analysis,' computer vision and GIS to create 3-dimensional point clouds from two-dimensional imagery. The data were robust in its application to estimating absolute lichen cover. An orange
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