From remotely sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory

Global Change Biology, Год журнала: 2023, Номер 29(11), С. 2926 - 2952

Опубликована: Фев. 17, 2023

Abstract Solar‐induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted during the light reactions of photosynthesis. The past two decades have witnessed an explosion in availability SIF data at increasingly higher spatial and temporal resolutions, sparking applications diverse research sectors (e.g., ecology, agriculture, hydrology, climate, socioeconomics). These must deal with complexities caused by tremendous variations scale impacts interacting superimposing plant physiology three‐dimensional vegetation structure on emission scattering SIF. At present, these not been overcome. To advance future research, companion reviews aim to (1) develop analytical framework for inferring terrestrial structures function that are tied emission, (2) synthesize progress identify challenges via lens multi‐sector applications, (3) map out actionable solutions tackle offer our vision priorities over next 5–10 years based proposed framework. This paper first reviews, theory oriented. It introduces theoretically rigorous yet practically applicable Guided this framework, we theoretical perspectives three overarching questions: forward (mechanism) question —How dynamics affected ecosystem function? inference : What aspects structure, function, service can be reliably inferred from how? innovation innovations needed realize full potential remote sensing real‐world under climate change? elucidates process complexity appreciated observed SIF; serve as diagnosis tool versatile across scales.

Язык: Английский

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From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data

Global Change Biology, Год журнала: 2023, Номер 29(11), С. 2893 - 2925

Опубликована: Фев. 18, 2023

Abstract Although our observing capabilities of solar‐induced chlorophyll fluorescence (SIF) have been growing rapidly, the quality and consistency SIF datasets are still in an active stage research development. As a result, there considerable inconsistencies among diverse at all scales widespread applications them led to contradictory findings. The present review is second two companion reviews, data oriented. It aims (1) synthesize variety, scale, uncertainty existing datasets, (2) sector ecology, agriculture, hydrology, climate, socioeconomics, (3) clarify how such inconsistency superimposed with theoretical complexities laid out (Sun et al., 2023) may impact process interpretation various contribute inconsistent We emphasize that accurate functional relationships between other ecological indicators contingent upon complete understanding uncertainty. Biases uncertainties observations can significantly confound their respond environmental variations. Built syntheses, we summarize gaps current observations. Further, offer perspectives on innovations needed help improve informing ecosystem structure, function, service under climate change, including enhancing in‐situ capability especially “data desert” regions, improving cross‐instrument standardization network coordination, advancing by fully harnessing theory data.

Язык: Английский

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Spectra-phenology integration for high-resolution, accurate, and scalable mapping of foliar functional traits using time-series Sentinel-2 data

Remote Sensing of Environment, Год журнала: 2024, Номер 305, С. 114082 - 114082

Опубликована: Фев. 26, 2024

Язык: Английский

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Convergent Strategies for Leaf Traits in Tree Species From Divergent Habitats

Global Change Biology, Год журнала: 2025, Номер 31(3)

Опубликована: Март 1, 2025

Plant trait expressions and their trade-offs reflect the responses long-term ecological adaptation to environmental gradients. However, how such help plants acclimate a new environment remains poorly understood, which is fundamental preset for plants' survival under global change scenario. By comparing trait-trait relationships of 4403 tree species from different climatic regions variation in 746 that have been transplanted tropical botanical garden several decades, our results reveal convergent but consistent alteration trees common environment. The trends enhance capability buffering impacts climate through allocating more resources growth tolerance. We propose altered may be key mechanisms underlie stability resilience species.

Язык: Английский

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Mapping foliar photosynthetic capacity in sub-tropical and tropical forests with UAS-based imaging spectroscopy: Scaling from leaf to canopy

Remote Sensing of Environment, Год журнала: 2023, Номер 293, С. 113612 - 113612

Опубликована: Май 5, 2023

Язык: Английский

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Plant optics: underlying mechanisms in remotely sensed signals for phenotyping applications

AoB Plants, Год журнала: 2023, Номер 15(4)

Опубликована: Июль 1, 2023

Abstract Optical-based remote sensing offers great potential for phenotyping vegetation traits and functions a range of applications including monitoring assessment. A key strength optical-based approaches is the underlying mechanistic link to physiology, biochemistry, structure that influences spectral signal. By exploiting variation driven by plant physiological response environment, remotely sensed products can be used estimate functions. However, oftentimes these are proxies based on covariance, which lead misinterpretation decoupling under certain scenarios. This viewpoint will discuss (i) optical properties vegetation, (ii) indices, solar-induced fluorescence, machine-learning approaches, (iii) how covariance good empirical proximation Understanding acknowledging basis optics must considered as data availability continue grow. Doing so enable appropriate application consideration limitations use applications.

Язык: Английский

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A general methodology for the quantification of crop canopy nitrogen across diverse species using airborne imaging spectroscopy

Remote Sensing of Environment, Год журнала: 2023, Номер 298, С. 113836 - 113836

Опубликована: Окт. 4, 2023

Язык: Английский

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Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 2, 2024

Abstract Tropical forests exhibit significant diversity and heterogeneity in species distribution. Some tree spread abundantly, impacting the functional aspects of communities. Understanding how these facets respond to climate change is crucial. Field data from four protected areas (PAs) were combined with high-resolution Airborne Visible/InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) datasets extract large-scale plot abundant their traits. A supervised component generalized linear regression (SCGLR) model was used correlate components distribution across PAs. The recorded rainfall gradient influenced proportion PA-specific observed assemblages. Community weighted means (CWMs) biochemical traits showed better correlation values (0.85–0.87) between predicted compared biophysical (0.52–0.79). model-based projection revealed distinct responses each gradient. Functional maps highlighted interplay climate. appearance dynamics dark PAs demonstrated assortment strategy response These observations can significantly aid ecological management exposed dynamics.

Язык: Английский

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Characterizing foliar phenolic compounds and their absorption features in temperate forests using leaf spectroscopy

ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 212, С. 338 - 356

Опубликована: Май 16, 2024

Phenolic compounds constitute an essential part of the plant's secondary metabolites and play a crucial role in ecosystem functioning, including nutrient cycling plant defence against biotic abiotic stressors. Quantifying phenolic across global biomes is important for monitoring biological diversity processes. However, our understanding foliar remains limited, particularly regarding how they vary among temperate tree species whether their variation absorption features can be assessed using spectroscopy at leaf level. In this study, we examined relationships between spectral properties fresh leaves from two ecologically (i.e., total phenol tannin). We sampled four dominant English oak, European beech, Norway spruce, Scots pine) forest sites. Continuum removal was applied to spectra enhance assessment subtle that correlate with content. Total tannin concentrations were estimated by comparing performance empirical methods, namely partial least squares regression (PLSR) Gaussian processes (GPR). Our results showed large range (p < 0.05). Spectral analysis revealed persistent distinct near 1666 nm spruce whereas pine exhibited weaker feature 1653 nm. Regression both PLSR GPR accurately species, informative bands predicting these traits well-corresponded models utilised. also suggested overall more predicted than regardless employed methods. The most accurate estimations achieved continuum-removed SWIR (total phenol: R2=0.79, NRMSE=9.95%; tannin: R2=0.59, NRMSE=14.53%). Testing established individual or types variability prediction performances, specific demonstrating lower accuracy (R2=0.47–0.69 0.34–0.54 tannin, respectively) compared cross-species model. study extends common demonstrates potential generalised model predict forests. These findings provide foundation mapping forests canopy level airborne spaceborne imaging spectroscopy.

Язык: Английский

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Leaf Spectroscopy Reveals Drought Response Variation in Fagus sylvatica Saplings From Across the Species' Range

Journal of Geophysical Research Biogeosciences, Год журнала: 2025, Номер 130(2)

Опубликована: Фев. 1, 2025

Abstract The common European beech ( Fagus sylvatica ), sensitive to prolonged drought, is expected shift its distribution with climate change. To persist in novel environments, young trees rely on the capacity express diverse response phenotypes. Several methods exist study drought effects and their adaptive mechanisms, but these are usually destructive challenging for large sample numbers needed investigate biological variation. We conducted a garden experiment outdoors, under controlled watering conditions, 180 potted 2‐year‐old saplings from 16 provenances across species' range, representing three distinct genetic clusters. Drought stress was simulated by interrupting irrigation stomatal conductance soil moisture were used assess severity. measured leaf reflectance of visible short‐wave infrared electromagnetic radiation determine drought‐induced changes biochemical structural traits derived spectral indices model optical properties. quantified pigmentation, water balance, nitrogen, lignin, epicuticular wax, mass per area drought‐treated saplings, revealing differences likely responses drought. F. Iberian Peninsula showed signatures greater resistance, that is, least change spectrally related pigments content. demonstrate high‐resolution spectroscopy an effective non‐destructive tool individual can characterize functional intraspecific variation among trees. Next, this approach should be scaled up canopy‐level or airborne support assessments forests.

Язык: Английский

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