ArticleEcological applications : a publication of the Ecological Society of America2019
Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent.
Article in Ecological applications : a publication of the Ecological Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 54 citations in OpenAlex.
- Evaluating LiDAR-Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests.Ecology and evolution · 2025Article
- Remote sensing and spectroscopy of lichens.Ecology and evolution · 2024Review
- Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach.Scientific reports · 2024Article
- Scrub encroachment promotes biodiversity in temperate European wetlands under eutrophic conditions.Ecology and evolution · 2022Article
- Detecting shrub encroachment in seminatural grasslands using UAS LiDAR.Ecology and evolution · 2020Article
- Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent.Ecological applications : a publication of the Ecological Society of America · 2019Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective planning and nature management require spatially accurate and comprehensive measures of the factors important for biodiversity. Light detection and ranging (LIDAR) can provide exactly this, and is therefore a promising technology to support future nature management and related applications. However, until now studies evaluating the potential of LIDAR for this field have been highly limited in scope. Here, we assess the potential of LIDAR to estimate the local diversity of four species groups in multiple habitat types, from open grasslands and meadows over shrubland to forests and across a large area (~43,000 km
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.