Estimation of Leaf Water Content of a Fruit Tree by In Situ Vis-NIR Spectroscopy Using Multiple Machine Learning Methods in Southern Xinjiang, China DOI Creative Commons
Jintao Cui, Mamat Sawut,

Nuerla Ailijiang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1664 - 1664

Published: July 29, 2024

Water scarcity is one of the most significant environmental factors that inhibits photosynthesis and decreases growth productivity plants. Using deep learning convolutional neural network (CNN) model, this study evaluates ability spectroscopy to estimate leaf water content (LWC) in fruit trees. During midday, spectral data were acquired from samples obtained three distinct varieties trees, encompassing range spanning 350 2500 nm. Then, for preprocessing, fractional order derivative (FOD) continuous wavelet transform (CWT) algorithms used reduce effects scattering noise on collected spectra. Finally, CNN model was developed predict LWC different The results showed that: (1) spectra treated with CWT FOD could improve spectrum expression by improving correlation between LWC. level treatment higher than treatment. (2) using 1.2, 3 performed better other traditional machine methods, such as RFR, SVR, PLSR. (3) Further validation additional demonstrated had good stability quantitative prediction capability trees (R2 > 0.95, root mean square error (RMSE) < 1.773%, relative percentage difference (RPD) 4.26). may provide an effective way a CNN-based model.

Language: Английский

Aerogel‐Involved Triple‐State Gels Resemble Natural Living Leaves in Structure and Multi‐Functions DOI
Ming Zhou, Zhizhi Sheng, Guangbin Ji

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(32)

Published: June 7, 2024

Abstract Natural plant leaves with multiple functions, for example, spectral features, transpiration, photosynthesis, etc., have played a significant role in the ecosystem, and artificial synthesis of functions natural ones is still great challenge. Herein, this work presents an aerogel‐involved living leaf (AL), most similar to so far, by embedding super‐hydrophobic SiO 2 aerogel microparticles polyvinyl alcohol hydrogel presence hygroscopic salt chlorophyllin copper sodium form solid‐liquid‐vapor triple‐state gel. The AL shows high similarity all sampled 15 species exhibits ≈4–7 times transpiration speed higher than leaves. More importantly, can achieve several photosynthesis without energy provided respiratory action ones. This demonstrates feasibility creating ALs leaf‐like gel structures opening up new avenues conversion, environmental engineering, biomimetic applications.

Language: Английский

Citations

17
Photosynthesis, water‐use and nitrogen relate to both plant height and leaf structure in 60 species from the Mediterranean DOI Creative Commons
Éric Garnier, Denis Vile,

Sandrine Debain

et al.

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

Published: Jan. 9, 2025

Abstract Within individuals and/or species of trees, the structure and gas exchange sun‐exposed leaves from outer part canopy have been found to relate sampling height. Across species, such has shown their biochemical composition, but not Why are leaf traits related height within tree across a broader range species? And what components involved in leaf‐level carbon, water nitrogen economies? Plant height, mass per area (LMA) its underlying components, exchange, carbon isotopic discrimination were assessed for 60 different life growth forms growing Mediterranean, spanning wide LMA values. Contrary previous comparisons our study shows that tall plants had high LMA, dry matter content (LDMC) slightly thicker; stomatal conductance photosynthetic rate low, while intrinsic water‐use efficiency ( i WUE) was high. all variables as well nitrogen. These effects mostly mediated through LDMC, with limited thickness. conclusions hardly modified when phylogeny account for. varying forms, functioning relates both plant structure. results provide generalization trees at intra‐individual intraspecific levels. Inconsistencies among studies respect likely an issue context‐dependency, which should be explicitly taken into better understanding form function. Read free Plain Language Summary this article on Journal blog.

Language: Английский

Citations

2
Incorporating pressure–volume traits into the leaf economics spectrum DOI Creative Commons
Miquel Nadal, María José Clemente‐Moreno, Alicia Perera-Castro

et al.

Ecology Letters, Journal Year: 2023, Volume and Issue: 26(4), P. 549 - 562

Published: Feb. 7, 2023

In recent years, attempts have been made in linking pressure-volume parameters and the leaf economics spectrum to expand our knowledge of interrelationships among traits. We provide theoretical empirical evidence for coordination turgor loss point associated traits with net CO2 assimilation (An ) mass per area (LMA). measured gas exchange, curves structure 45 ferns angiosperms, explored anatomical chemical basis key propose that observed between mass-based An , capacitance (πtlp emerges from their shared link density (one components LMA) and, specially, saturated water content (LSWC), which turn relates cell size nitrogen carbon content. Thus, considering LMA LSWC ecophysiological studies can a broader perspective on function.

Language: Английский

Citations

26
Leaf trait variations and correlations across four forests with similar mean annual precipitation in northern China DOI Creative Commons

Wenzheng Chang,

Qiu Song,

Xiaoying Zheng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112199 - 112199

Published: June 12, 2024

Leaf functional traits (LFTs) are highly plastic and essential to plant resource acquisition utilization. However, the collinearity of environmental factors differences in response distinct types generate challenges clarifying contributions environment variables LFTs. This study selected 28 species from four forests northern China with similar mean annual precipitation (MAP) explore how other dissimilar influence LFTs after controlling for most influential factor. Specifically, we examined effect geographical (latitude, longitude, altitude) non-precipitation (mean temperature (MAT), aridity index (AI), soil pH) on leaf dry matter content (LDMC), carbon (LCC), nitrogen (LNC), phosphorus (LPC) concentration, pH. The can be attributed regulation moisture by factors. Therefore, remaining geo-environmental still played a significant role LFT variation excluding factor, which assist maintain original pattern change across gradient. As latitude, AI decreased, MAT increased, LCC LPC LNC first then LDMC pH did not significantly. trends intensity varied between types. Significant correlation were observed LPC-to-LDMC LPC-to-LNC all regions each species. Trait-trait relationships inconsistent life forms (herbs woody plants) pH-to-nutrient concentration (C, N, P), LCC-to-LPC, LCC-to-LDMC. Environmental larger contributors (especially LNC, LPC, LDMC) than (PFTs), while largely dependent PFTs. These patterns result adaptations multiple variables, single factor (even core element that generated such as MAP) cannot dominant geographic among sheds light adaptation strategies change, deepening our understanding ecosystem function coordination.

Language: Английский

Citations

11
Vertical variation in leaf functional traits of Parashorea chinensis with different canopy layers DOI Creative Commons
Nan Jin, Xiaocheng Yu, Jinlong Dong

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 29, 2024

Introduction Canopy species need to shift their ecological adaptation improve light and water resources utilization, the study of intraspecific variations in plant leaf functional traits based at individual scale is great significance for evaluating adaptability climate change. Methods In this study, we evaluate how giant trees relate spatial niche specialization along a vertical gradient. We sampled tropical flagship Parashorea chinensis around 60 meters tall divided crowns into three layers. Fourteen key including morphology, photosynthetic, hydraulic chemical physiology were measured each canopy layer investigate variation interrelationships between different traits. Additionally, due potential impact measurement methods ( in-situ ex-situ branch) on photosynthetic physiological parameters, also compared effects these two gas exchange measurements. Results discussion In-situ measurements revealed that most individual-to-individual P. varied significantly heights. Leaf such as midday (MWP) osmotic (OP) insignificantly correlated with maximal net assimilation rate per mass A ). addition, discrepancies found parameters. The caused decrease by 53.63%, 27.86%, 38.05% , 50.00%, 19.21%, 27.90% saturation point These findings provided insights our understanding response mechanisms micro-habitat Xishuangbanna seasonal rainforests fine adaption resultant decoupled traits, which have implications strategies under environmental changes.

Language: Английский

Citations

7
Water balance of winter wheat following different precursors on the Ukrainian steppe DOI
Vitalii Pichura,

Larysa Potravka,

Yevhenii Domaratskiy

et al.

International Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 81(1), P. 324 - 341

Published: Jan. 2, 2024

In the steppe zone of Ukraine during growing season autumn 2021 through beginning summer 2022, water balancing in a winter wheat crop with peas as precursor was 3–9 times greater than cereal (spring barley) or sunflower precursor; Normalized Difference Vegetation Index (NDVI) following 1.6–1.7 greater; Water (NDWI, rate moisture supply) plant leaf at macro-stages BBCH 10–61 1.54–1.82 higher; and productivity 1.43–1.56 higher. consumption for formation tonne grain one third less compared to other precursors.

Language: Английский

Citations

5
Using the response–effect trait framework to disentangle the effects of environmental change on the ecosystem services DOI Creative Commons
Cheng Zheng, Fei Zhang, Ziqi Lin

et al.

Journal of Plant Ecology, Journal Year: 2024, Volume and Issue: 17(5)

Published: April 5, 2024

Abstract Functional traits play a vital role in mediating the responses of ecosystem services to environmental changes and predicting functioning ecosystem. However, connection between functional has become increasingly intricate due climate change human activities for degraded ecosystems. To investigate this relationship, we selected 27 sampling sites Yanhe River Basin Chinese Loess Plateau, each containing two types vegetation ecosystems: natural artificial At site, measured calculated composition index community traits. We established response–effect trait framework that included factors such as climate, elevation activities. Our results showed leaf tissue density (LTD) was overlapping response effect when responding change. LTD is positively correlated with mean annual temperature negatively supporting services. Under influence activities, nitrogen content dry matter were carriers Comparing ecosystems, relationship divergent patterns, indicating increased uncertainty Trait-based ecology holds promise enhancing predictions changes. predictive ability influenced by complexity In conclusion, our study highlights importance understanding complex

Language: Английский

Citations

5
Response of Vegetation and Soil Property Changes by Photovoltaic Established Stations Based on a Comprehensive Meta-Analysis DOI Creative Commons
Xiaoxin Chen, Bojian Chen, Yongdong Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 478 - 478

Published: April 8, 2024

Since the commencement of Sustainable Development Goals (SDGs), renewable energy has faced many challenges in reaching target SDGs, while potential ecological impact on environment cannot be ignored. The expansion photovoltaic (PV) networks is raising concerns regarding large-scale PV power stations local ecosystems. However, a comprehensive understanding specific responses vegetation and soil factors to con-struction across different study locations still lacking. To address this knowledge gap, we con-ducted meta-analysis 28 studies internationally representing 31 observational points that evaluated 432 factor installation stations. We used piecewiseSEM explore predictors/factors eco-logical environment. This investigated geographical environmental conditions associated with construction their factors, considering advantages disadvantages station results indicate (1) response ecosystems increased by 58.89%. Among these, most significant improvement desert, which accounts for 77.26%. Im-provement temperate regions 59.62%, there decrease 19.78% boreal regions. Improvement arid 84.45%, humid 9.84%. (2) promotes SWC, diversity, coverage, biomass, significantly enhancing productivity. (3) ecosystems, effects were deserts, showing negative impacts croplands. (4) Compared below-panel treatments, between-panel treatments more effective improving conditions. contributes mitigating adverse site development, offering insights into selection planning solar advancement sector.

Language: Английский

Citations

5
Warming promotes accumulation of microbial- and plant-derived carbon in terrestrial ecosystems DOI
H. Han, Congjuan Li, Ran Liu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 905, P. 166977 - 166977

Published: Sept. 15, 2023

Language: Английский

Citations

12
Water content estimation of conifer needles using leaf-level hyperspectral data DOI Creative Commons
Yuan Zhang,

Anzhi Wang,

Jiaxin Li

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 6, 2024

Water is a crucial component for plant growth and survival. Accurately estimating simulating water content can help us promptly monitor the physiological status stress response of vegetation. In this study, we constructed loss curves three types conifers with morphologically different needles, then evaluated applicability 12 commonly used indices, finally explored leaf estimation from hyperspectral data needles various morphology. The results showed that rate Olgan larch approximately 8 times higher than Chinese fir pine 21 Korean pine. reflectance changes were most significant in near infrared region (NIR, 780-1300 nm) short-wave (SWIR, 1300-2500 nm). sensitive bands conifer mainly concentrated SWIR region. indices suitable single type needles. partial least squares regression (PLSR) model effective all morphologies demonstrating PLSR promising tool content.

Language: Английский

Citations

4