ArticleThe New phytologist2017
Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements.
Article in The New phytologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 180 citations in OpenAlex.
- Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change.Nature plants · 2026Article
- Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral index.Plant methods · 2025Article
- Coordinated diffusional and biochemical limitations underlie age-related decline in photosynthetic capacity of rice leaves.Photosynthesis research · 2025Article
- Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models.Plant phenomics (Washington, D.C.) · 2025Article
- Research on the secondary branch sizes within crown and primary branch for planted Korean pine in Northeast China.Frontiers in plant science · 2025Article
- Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient.Scientific reports · 2024Article
- Water content estimation of conifer needles using leaf-level hyperspectral data.Frontiers in plant science · 2024Article
- Leaf Nutritional Content, Tree Richness, and Season Shape the Caterpillar Functional Trait Composition Hosted by Trees.Insects · 2022Article
- Forest fragmentation impacts the seasonality of Amazonian evergreen canopies.Nature communications · 2022Article
- A Perspective on Plant Phenomics: Coupling Deep Learning and Near-Infrared Spectroscopy.Frontiers in plant science · 2022Article
- Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature.The New phytologist · 2021Article
- Estimation of vegetation water content at leaf and canopy level using dual-wavelength commercial terrestrial laser scanners.Interface focus · 2018Article
- Article
- Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging.Plant methods · 2018Article
- Climate drivers of the Amazon forest greening.PloS one · 2017Article
Corrections and comments
- Commented on by
Authors and funding
11 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leaf aging is a fundamental driver of changes in leaf traits, thereby regulating ecosystem processes and remotely sensed canopy dynamics. We explore leaf reflectance as a tool to monitor leaf age and develop a spectra-based partial least squares regression (PLSR) model to predict age using data from a phenological study of 1099 leaves from 12 lowland Amazonian canopy trees in southern Peru. Results demonstrated monotonic decreases in leaf water (LWC) and phosphorus (P
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.