Linking aerial hyperspectral data to canopy tree biodiversity: An examination of the spectral variation hypothesis

Ecological Monographs, Год журнала: 2024, Номер 94(3)

Опубликована: Май 6, 2024

Abstract Imaging spectroscopy is emerging as a leading remote sensing method for quantifying plant biodiversity. The spectral variation hypothesis predicts that in hyperspectral reflectance related to taxonomic and functional identity. While most studies report some correlation between field‐based (i.e., functional) expressions of biodiversity, the observed strength association highly variable, utility applying community properties examine environmental drivers communities remains unknown. We linked data acquired by airborne imaging spectrometers with precisely geolocated field plots along temperate‐to‐boreal forest gradient southern Québec, Canada. First, we degree dimensions canopy tree composition diversity. Second, ask whether relationships environment are reproduced when using properties. found support generally greater than dimension, but was variable dependent on choice or metric used quantify Using multivariate approach (comparisons separate ordinations), moderately well correlated composition; however, increased univariately relating main axes compositional variation. Spectral diversity tightly associated metrics richness divergence. For predicting variables, same qualitative conclusions emerge used. Spatial patterns were strongly turnover from communities, explained elevation. provide straightforward way biodiversity across large spatial extents without need priori observations. commonly framed potential tool monitoring, show can be applied more widely assess thereby helping advance our understanding biogeographical communities.

Язык: Английский

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Plant diversity across dimensions: Coupling biodiversity measures from the ground and the sky

Science Advances, Год журнала: 2025, Номер 11(4)

Опубликована: Янв. 24, 2025

Tracking biodiversity across biomes over space and time has emerged as an imperative in unified global efforts to manage our living planet for a sustainable future humanity. We harness the National Ecological Observatory Network develop routines using airborne spectroscopic imagery predict multiple dimensions of plant at continental scale US. Our findings show strong positive associations between diversity metrics based on spectral species ground-based richness other diversity, whereas distance matrices did not. found that consistently predicts analogous taxonomic, functional, phylogenetic biomes. The approach demonstrates promise monitoring globally by integrating measures with imaging spectroscopy advances capacity toward Global Biodiversity Observing System.

Язык: Английский

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Comparison of deep and shallow one-class classifiers for detecting invasive Prosopis trees in Kenya from airborne hyperspectral data

Ecological Indicators, Год журнала: 2025, Номер 174, С. 113465 - 113465

Опубликована: Апрель 14, 2025

Язык: Английский

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Most young leaves pale in comparison to mature leaves: delayed greening is neither binary nor tropical

Ecography, Год журнала: 2025, Номер unknown

Опубликована: Май 20, 2025

Delayed greening, the phenomenon in which expanding leaves appear red, blue or pale green due to low chlorophyll content, has long intrigued ecologists. However, little is known about what type of species are most likely delay greening environmental conditions associated with delayed greening. We spectroscopically quantified leaf pigments 105 from 12 representative terrestrial ecosystems, spanning 16°S 43°S, and assessed as log ratio average content mature leaves. Contrary traditional binary view we observed a normal distribution level have, containing, on average, half Surprisingly, there was no significant latitudinal gradient Herbivory showed correlation but positive association anthocyanin levels. levels tended be lower sites near‐neutral soil pH, greater plant higher surface mass per area, exhibited available nitrogen organic carbon content. suggest that tradition considering continuous variables discrete categories can affect way researchers think trait potentially impede progress understanding ecological strategy.

Язык: Английский

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Integrating Hyperspectral Imaging, Plant Functional Diversity, and Soil-Lithology to Uncover Mountainscape Disturbance Dynamics Induced by Landsliding

Remote Sensing, Год журнала: 2025, Номер 17(11), С. 1806 - 1806

Опубликована: Май 22, 2025

The global biodiversity crisis has emphasized the unique contribution of functional diversity to ecosystem function, stability, and resilience. In this regard, increasing availability remotely sensed data together with development new sensors approaches potential improve our ability quantify monitor traits functions at unprecedented spatial, temporal, spectral scales. particular, air- spaceborne hyperspectral are making possible measurement plant-level investigate function in novel ways. review, we posit that these developments, similar ones on soils lithologies, can help us understand relationships between diversity, processes, landsliding, more broadly disturbance dynamics mountainscapes. Acknowledging challenges associated mountainous regions, review aims (1) synthesize broad established methods retrieve from data, (2) summarize characterize derived traits, (3) work addressing functioning, mountainscapes, (4) elaborate how develop a needed “ecosystem-centered” view landslides. This acknowledges influences both slope resistance susceptibility failure landslide recovery, interactions geomorphic processes drive mountainscapes mediated by landslides multiple scales, variability size represents source while also playing fundamental role recovery landscape memory.

Язык: Английский

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