ReviewJournal of geophysical research. Biogeosciences2022
The Spectral Species Concept in Living Color.
Review in Journal of geophysical research. Biogeosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 54 citations in OpenAlex.
- Predicting species diversity and community traits from remote sensing in species-rich grasslands.BMC ecology and evolution · 2026Article
- Spectral biology across scales in changing environments.Ecology · 2025Review
- The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science.npj biodiversity · 2025Review
- Plant diversity across dimensions: Coupling biodiversity measures from the ground and the sky.Science advances · 2025Article
- Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications.Sensors (Basel, Switzerland) · 2024Review
- Monitoring vegetation- and geodiversity with remote sensing and traits.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024Review
- Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach.Scientific reports · 2024Article
- PlasPi TDM: Augmentation of a low-cost camera platform for advanced underwater physical-ecological observations.HardwareX · 2023Article
- LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems.Ecological informatics · 2023Article
- Article
- The Spectral Species Concept in Living Color.Journal of geophysical research. Biogeosciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors at 20 institutions in 12 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biodiversity monitoring is an almost inconceivable challenge at the scale of the entire Earth. The current (and soon to be flown) generation of spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information at unprecedented spatial, temporal, and spectral resolutions. These new data streams are preceded by a revolution in modeling and analytics that can utilize the richness of these datasets to measure a wide range of plant traits, community composition, and ecosystem functions. At the heart of this framework for monitoring plant biodiversity is the idea of remotely identifying species by making use of the 'spectral species' concept. In theory, the spectral species concept can be defined as a species characterized by a unique spectral signature and thus remotely detectable within pixel units of a spectral image. In reality, depending on spatial resolution, pixels may contain several species which renders species-specific assignment of spectral information more challenging. The aim of this paper is to review the spectral species concept and relate it to underlying ecological principles, while also discussing the complexities, challenges and opportunities to apply this concept given current and future scientific advances in remote sensing.
Indexed as
Identifiers
What OpenQuestion holds
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.