Reaumuria soongorica-plant model to understand drought adaptive mechanisms of xerophyte and their potentials in improving stress tolerance in plants

M., Y.; Liu, R.X.; Wang, S.S.; Han, Feng

doi:10.22438/jeb/44/1/mrn-5085

Cited by 2 publications

(3 citation statements)

References 44 publications

(58 reference statements)

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“…Deploying the model in real-world engineering systems and gathering feedback would provide invaluable insights 37 . This would not only validate our findings but also highlight unforeseen challenges 38 .…”

Section: Future Directionssupporting

confidence: 76%

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Cao,

Zhang,

Huang

2024

Sci Rep

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In the field of engineering systems—particularly in underground drilling and green stormwater management—real-time predictions are vital for enhancing operational performance, ensuring safety, and increasing efficiency. Addressing this niche, our study introduces a novel LSTM-transformer hybrid architecture, uniquely specialized for multi-task real-time predictions. Building on advancements in attention mechanisms and sequence modeling, our model integrates the core strengths of LSTM and Transformer architectures, offering a superior alternative to traditional predictive models. Further enriched with online learning, our architecture dynamically adapts to variable operational conditions and continuously incorporates new field data. Utilizing knowledge distillation techniques, we efficiently transfer insights from larger, pretrained networks, thereby achieving high predictive accuracy without sacrificing computational resources. Rigorous experiments on sector-specific engineering datasets validate the robustness and effectiveness of our approach. Notably, our model exhibits clear advantages over existing methods in terms of predictive accuracy, real-time adaptability, and computational efficiency. This work contributes a pioneering predictive framework for targeted engineering applications, offering actionable insights into.

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Section: Future Directionssupporting

confidence: 76%

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Cao,

Zhang,

Huang

2024

Sci Rep

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“…This suggests that the unique climate variables (lower relative humidity and temperatures) at these elevations have notably influenced the plant species that can thrive in such conditions. These elevations are far from the coastline, so plant species adapted accordingly, exhibiting low salt tolerance and more xerophytes [18,50].…”

Section: Discussionmentioning

confidence: 99%

“…Other important species, such as Retama retam, Vachellia gerrardii, Zilla spinosa, Lycium shwaii, and Leptadenia pyrotechnica, were correlated with sandy soil as prominent soil properties in elevation ≥ 1000 m and elevation 800 m (a.s.l.). According to field observations at elevations above 1000 m and 800 m a.s.l., the topography contains a high sand percentage, appearing as patches among rugged rocks; thus, these plant species' deep root systems have adapted to grow and develop in these elevational conditions [50].…”

Section: Discussionmentioning

confidence: 99%

Diversity of Indicator and Dominant Plant Species along Elevation Gradients in Prince Mohammad Bin Salman Nature Reserve, KSA

Al-Bakre

2023

Diversity

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It is essential to protect and preserve biodiversity, especially in habitats in which natural resources are scarce. The differing flora and vegetation distribution on the broad, arid landscape at the Crown Prince Mohammed Bin Salman Nature Reserve has yet to be investigated. Based on GPS coordination and the transitional zone of plant communities, 48 symmetric plots of 50 × 50 m2 were distributed evenly over six elevations. In this study, we recorded 70 species in 33 families and elucidated floristic traits correlated with elevation. High species richness was recorded for the families Fabaceae, Poaceae, Asteraceae, and Chenopodiaceae. High numbers of chamaephyte and phanerophyte species were observed. In the chorotype, the mono-regional component contained 47% of the species, the bi-regional component 35.7%, and multi-regional and worldwide species comprised 10% and 7%, respectively. This study noted the growth habits of 23 herbs, 15 shrubs, 10 trees, and a single species of grass, vine, climber, and mistletoe. Diversity indices, indicator species, dominant plant communities, and soil profiles were compared for the defined zones of elevation. Alpha and beta diversity were high at elevations of ≥1000, 800, and ≤100 ma.s.l., compared to elevations of 600 m, 400 m, and 200 m. The highest species richness and species turnover were recorded at elevations of ≥1000, 800, and ≤100 m, while species evenness was greater at elevations of 600, 400, and 200 m. Vegetation analyses and indicator species (based on relative abundance) showed species variation with elevation. Species domination was influenced by physical soil structure and soil chemistry. Microclimates, including temperature and relative humidity variations, were found to be a significant driver in the ecosystem, resulting in varying plant diversity and species distribution at different elevations. Through canonical correspondence analysis (CCA), we used an autocorrelation of elevations, plant species, and soil properties to identify three phytogeographic categories that were presumed to be a proxy of microclimate change: Category I: elevations 1000 m and 800 m, including Retama raetam, Zilla Spinosa, and Vachellia gerrardii linked with sandy soil; Category II: elevations 600 m and 400 m, including species Haloxylon salicornicum, Rhazya stricta, and Leptadenia pyrotechnica linked with enriched soils containing CaCO3 and HCO3 and having a clay texture; and Category III: elevations 200 m and 100 m, including Zygophyllum coccineum, Tamarix nilotica, and Hyphaene thebaica, which thrived in salinity and silt soils. The spatial vegetation patterns of the xeric environment and its transition zones in Prince Mohammed Bin Salman Nature Reserve were also documented. It is recommended that microclimate effects on species nominated for vegetation restoration or afforestation be considered for the optimal management of this important nature reserve.

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Reaumuria soongorica-plant model to understand drought adaptive mechanisms of xerophyte and their potentials in improving stress tolerance in plants

Cited by 2 publications

References 44 publications

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Diversity of Indicator and Dominant Plant Species along Elevation Gradients in Prince Mohammad Bin Salman Nature Reserve, KSA

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