Enhancing domain adaptation for plant diseases detection through Masked Image Consistency in Multi-Granularity Alignment

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127101 - 127101

Published: March 1, 2025

Language: Английский

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Spectral ecophysiology: hyperspectral pressure–volume curves to estimate leaf turgor loss

New Phytologist, Journal Year: 2024, Volume and Issue: 242(3), P. 935 - 946

Published: March 14, 2024

Summary Turgor loss point (TLP) is an important proxy for plant drought tolerance, species habitat suitability, and drought‐induced mortality risk. Thus, TLP serves as a critical tool evaluating climate change impacts on plants, making it imperative to develop high‐throughput in situ methods measure TLP. We developed hyperspectral pressure–volume curves (PV curves) estimate using leaf spectral reflectance. used partial least square regression models water potential (Ψ) relative content (RWC) two species, Frangula caroliniana Magnolia grandiflora . RWC Ψ's model each had R 2 ≥ 0.7 %RMSE = 7–10. constructed PV with estimates compared the accuracy of directly measured spectra‐predicted Our findings indicate that measurements are alternative method estimating F. TLP's values were −1.62 ± 0.15 (means SD) 0.34 MPa observed reflectance predicted, respectively ( P > 0.05), while M. −1.78 −1.66 0.41 0.05). The estimation through reflectance‐based opens broad range possibilities future research aimed at understanding monitoring relations large scale ecophysiology.

Language: Английский

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Hyperspectral signals in the soil: Plant–soil hydraulic connection and disequilibrium as mechanisms of drought tolerance and rapid recovery

Plant Cell & Environment, Journal Year: 2024, Volume and Issue: 47(11), P. 4171 - 4187

Published: June 26, 2024

Predicting soil water status remotely is appealing due to its low cost and large-scale application. During drought, plants can disconnect from the soil, causing disequilibrium between plant potentials at pre-dawn. The impact of this on drought response recovery not well understood, potentially complicating predictions spectral reflectance. This study aimed quantify drought-induced disequilibrium, evaluate responses recovery, determine potential for predicting Two species were tested: sweet corn (Zea mays), which disconnected during intense peanut (Arachis hypogaea), did not. Sweet corn's hydraulic disconnection led an extended 'hydrated' phase, but was slower than peanut's, remained connected even lower (-5 MPa). Leaf hyperspectral reflectance successfully predicted consistently, only until occurred in corn. Our results reveal different strategies coping with extreme provide first example using rhizosphere status, emphasizing need species-specific considerations canopy

Language: Английский

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On mature reflection: Ozone damage can be detected in oak trees by hyperspectral reflectance

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113263 - 113263

Published: Feb. 22, 2025

Language: Английский

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Comparison of different methods to evaluate tissue damage in response to leaf dehydration in Quercus ilex L. and Q. faginea Lam

Physiologia Plantarum, Journal Year: 2025, Volume and Issue: 177(2)

Published: March 1, 2025

Abstract Determination of the point critical damage in plant organs is crucial to elucidate causes mortality, but different methodologies quantify such have not been previously compared under same experimental conditions. Here, we tested indicators evaluate leaves Quercus faginea and Q . ilex ; latter case, 1‐ 2‐year‐old were included. The relative electrolyte leakage (REL), rehydration capacity (evaluated as percentage loss capacity; PLRC), chlorophyll fluorescence (maximum quantum yield PSII; F v / m ), viability marker triphenyltetrazolium chloride (TTC). These evaluated sets detached for each species leaf age dehydrated on lab bench. Electrolyte PLRC showed a gradual response decreasing water content, whereas TTC threshold‐like response, especially case Q. did show differences between and/or ages. Measurement dehydrating proved be most straightforward, rapid precise method quantification, allowing differentiation dehydration tolerance

Language: Английский

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All the light we cannot see: Climate manipulations leave short and long‐term imprints in spectral reflectance of trees

Ecology, Journal Year: 2025, Volume and Issue: 106(5)

Published: May 1, 2025

Abstract Anthropogenic climate change, particularly changes in temperature and precipitation, affects plants multiple ways. Because respond dynamically to stress acclimate growing conditions, diagnosing quantitative plant‐environment relationships is a major challenge. One approach this problem quantify leaf responses using spectral reflectance, which provides rapid, inexpensive, nondestructive measurements that capture wealth of information about genotype as well phenotypic the environment. However, it unclear how warming drought affect spectra. To address gap, we used an open‐air field experiment manipulates rainfall 36 plots at two sites boreal‐temperate ecotone northern Minnesota, USA. We collected reflectance (400–2400 nm) peak season for three consecutive years on juveniles (two six old) five tree species planted within experiment. hypothesized these mid‐season snapshot phenotype encompassing suite physiological, structural, biochemical both long‐ short‐time scale environmental conditions. show imprint conditions experienced by hours weeks before linked regions spectrum associated with stress, namely water absorption near‐infrared short‐wave infrared. In contrast, experience during development leave lasting imprints profiles leaves, attributable structure chemistry (e.g., pigment content ratios). Our analyses after accounting baseline differences, environment do not differ among species. This suggests building general framework understanding forest change through metrics may be possible, likely having broader implications if common detected here represent widespread phenomenon. Consequently, results demonstrate examining entire contrast single features indices traits) improves inferences relationships, important times unprecedented change.

Language: Английский

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Remote sensing reveals inter‐ and intraspecific variation in riparian cottonwood (Populus spp) response to drought

Journal of Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract Understanding how vegetation responds to drought is fundamental for understanding the broader implications of climate change on foundation tree species that support high biodiversity. Leveraging remote sensing technology provides a unique vantage point explore these responses across and within species. We investigated interspecific two Populus ( P . fremontii , angustifolia ) their naturally occurring hybrids using leaf‐level visible through shortwave infrared (VSWIR; 400–2500 nm) reflectance. As F 1 backcross with either species, resulting in range genotypes, we heretofore refer collectively as ‘cross types’. additionally explored intraspecific variation P. response at leaf canopy levels reflectance data thermal unmanned aerial vehicle (UAV) imagery. employed several analyses assess genotype‐by‐environment (G × E) interactions concerning drought, including principal component analysis, vector machine spectral similarity index. Five key findings emerged: (1) Spectra all three cross types shifted significantly drought. The magnitude reaction norms can be ranked from hybrids> > suggesting differential drought; (2) Spectral space among constricted under indicating spectral—and phenotypic—convergence; (3) Experimentally, populations cool regions had different than warm regions, source population mean annual temperature driving direction VSWIR (4) UAV imagery revealed watered, warm‐adapted maintained lower temperatures retained more leaves cool‐adapted populations, but differences retention decreased when droughted. (5) These are consistent patterns local adaptation stress, demonstrating ability spectra detect ecological evolutionary function environments. Synthesis. Leaf‐level spectroscopy canopy‐level captured inter‐ water stress cottonwoods, which widely distributed arid This study demonstrates potential monitor predict impacts scales varying landscapes.

Language: Английский

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Optimal time-window for assessing soil salinity via Sentinel-2 multitemporal synthetic data in the arid agricultural regions of China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 176, P. 113642 - 113642

Published: May 27, 2025

Language: Английский

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Predicting key water stress indicators of Eucalyptus viminalis and Callitris rhomboidea using high‐resolution visible to short‐wave infrared spectroscopy

Plant Cell & Environment, Journal Year: 2024, Volume and Issue: 47(12), P. 4992 - 5006

Published: Aug. 9, 2024

Abstract Drought is one of the main factors contributing to tree mortality worldwide and drought events are set become more frequent intense in face a changing climate. Quantifying water stress forests crucial predicting understanding their vulnerability drought‐induced mortality. Here, we explore use high‐resolution spectroscopy indicators two native Australian species, Callitris rhomboidea Eucalyptus viminalis . Specific spectral features indices derived from leaf‐level were assessed as potential proxies predict leaf (Ψ ), equivalent thickness (EWT) fuel moisture content (FMC) dedicated laboratory experiment. New identified that enabled very high confidence linear prediction Ψ for both species ( R 2 > 0.85) with predictive capacity increasing when accounting breakpoint relationships using segmented regression E. , 0.89; C. 0.87). EWT FMC also linearly predicted accuracy 0.90; 0.80). This study highlights tool measures plant noninvasively, enabling broader applications monitoring managing stress.

Language: Английский

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Tree drought physiology: critical research questions and strategies for mitigating climate change effects on forests

New Phytologist, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Droughts of increasing severity and frequency are a primary cause forest mortality associated with climate change. Yet, fundamental knowledge gaps regarding the complex physiology trees limit development more effective management strategies to mitigate drought effects on forests. Here, we highlight some basic research needed better understand tree how new technologies interdisciplinary approaches can be used address them. Our discussion focuses change wood water stress, hormonal responses drought, genetic variation underlying adaptive phenotypes, 'remember' prior stress exposure, symbiotic soil microbes affect response. Next, identify opportunities for using findings enhance or develop managing forests, ranging from matching genotypes environments, enhancing seedling resilience through nursery treatments, landscape-scale monitoring predictions. We conclude need co-producing land managers extending forests in critical ecological regions beyond temperate zone.

Language: Английский

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