GPR-CUNet: Spatio-Temporal Feature Fusion based GPR Forward and Inversion Cycle Network for Root Scene Survey DOI
Xiaowei Zhang, Xuan Zhao, Shuang Li

et al.

IEEE Sensors Journal, Journal Year: 2025, Volume and Issue: 25(4), P. 7569 - 7583

Published: Jan. 3, 2025

Ground Penetrating Radar (GPR) forward and inversion methods are key techniques for studying radar imaging mechanisms investigating subsurface scenes. Efficiently interpreting wave data will facilitate the development of structure detection applications, especially in intricate plant root distribution. Existing models constrained by highly computational time-consuming process, making it difficult to be applied complex real-world scenarios. Inspired spatio-temporal properties during imaging, a spatial temporal fusion cycle U-shaped model named GPR-CUNet was proposed. The is more adapted transformation between permittivity distribution GPR B-Scan environment. Firstly, extract features from data, Spatio-Temporal Feature Fusion Module (STFM) based on CNN BiLSTM designed. Then, translation two identical networks with STFM module were constructed. Finally, guided predictive consistency cyclic consistency, hybrid loss function multi-scale structural similarity (MS-SSIM) L1 norm configured boost performance both networks. numerical simulation experiments revealed that proposed imparted exceptional efficiency prediction reconstruction under In pre-burial field testing, our can effectively recover soil horizons Accurate scene provide theoretical basis three-dimensional physical media zones.

Language: Английский

Plant sizes and shapes above and belowground and their interactions with climate DOI Creative Commons
Shersingh Joseph Tumber‐Dávila, H. Jochen Schenk, Enzai Du

et al.

New Phytologist, Journal Year: 2022, Volume and Issue: 235(3), P. 1032 - 1056

Published: Feb. 12, 2022

Although the above and belowground sizes shapes of plants strongly influence plant competition, community structure, plant-environment interactions, remain poorly characterized across climate regimes. We investigated relationships among shoot root system size climate. assembled analyzed, to our knowledge, largest global database describing maximum rooting depth, lateral spread, terrestrial - more than doubling Root Systems Individual Plants 5647 observations. Water availability growth form greatly size, depth is primarily influenced by temperature seasonality. Shoot strongest predictor with diameter being two times wider width on average for woody plants. covaries size; however, geometries differ considerably climates, in arid climates having shorter shoots, but deeper, narrower systems. Additionally, estimates spread systems are likely underestimated at scale.

Language: Английский

Citations

126

Dynamics of nitrogen mineralization and fine root decomposition in sub-tropical Shorea robusta Gaertner f. forests of Central Himalaya, India DOI
Rachita Pandey, Surendra Singh Bargali, Kiran Bargali

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 170896 - 170896

Published: Feb. 17, 2024

Language: Английский

Citations

40

Effects of plant diversity on productivity strengthen over time due to trait-dependent shifts in species overyielding DOI Creative Commons
Li‐Ting Zheng, Kathryn E. Barry, Nathaly R. Guerrero‐Ramírez

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 7, 2024

Abstract Plant diversity effects on community productivity often increase over time. Whether the strengthening of is caused by temporal shifts in species-level overyielding (i.e., higher diverse communities compared with monocultures) remains unclear. Here, using data from 65 grassland and forest biodiversity experiments, we show that strength at scale underpinned changes species yield. These trends are shaped plant ecological strategies, which can be quantitatively delimited functional traits. In grasslands, was associated increasing biomass resource-conservative time, characterized fast resource acquisition either decreasing or increasing. forests, differ when considering above- versus belowground strategies. Overyielding stem growth decreased for high light capture capacity but increased those soil capacity. Our results imply a different, potentially complementary, strategies beneficial maintaining time both ecosystems.

Language: Английский

Citations

27

Linking nematodes and ecosystem function: a trait-based framework DOI
Chongzhe Zhang, Ian J. Wright, Uffe N. Nielsen

et al.

Trends in Ecology & Evolution, Journal Year: 2024, Volume and Issue: 39(7), P. 644 - 653

Published: Feb. 28, 2024

Language: Английский

Citations

23

Unforeseen plant phenotypic diversity in a dry and grazed world DOI
Nicolas Gross, Fernando T. Maestre, Pierre Liancourt

et al.

Nature, Journal Year: 2024, Volume and Issue: 632(8026), P. 808 - 814

Published: Aug. 7, 2024

Language: Английский

Citations

21

Coordination of leaf, root, and seed traits shows the importance of whole plant economics in two semiarid grasslands DOI Creative Commons
Kevin E. Mueller, Julie A. Kray, Dana M. Blumenthal

et al.

New Phytologist, Journal Year: 2024, Volume and Issue: 241(6), P. 2410 - 2422

Published: Jan. 12, 2024

Summary Uncertainty persists within trait‐based ecology, partly because few studies assess multiple axes of functional variation and their effect on plant performance. For 55 species from two semiarid grasslands, we quantified: (1) covariation between economic traits leaves absorptive roots, (2) among traits, height, leaf size, seed mass, (3) relationships these species' abundance. Pairs analogous root were at least weakly positively correlated (e.g. specific area (SLA) length (SRL)). Two pairs such N content DMC moderately ( r > 0.5) whether grouped by site, taxonomic group growth form, or life history. Root diameter was with mass for all groups except annuals monocots. Species higher dry matter (LDMC) tended to be more abundant = 0.63). Annuals larger seeds 0.69). Compared global‐scale syntheses many observations mesic ecosystems, observed stronger correlations weaker SLA N, SRL N. In persistence may require coordination above‐ belowground dense tissues facilitate dominance.

Language: Английский

Citations

19

funspace: An R package to build, analyse and plot functional trait spaces DOI Creative Commons
Carlos P. Carmona, Nicola Pavanetto, Giacomo Puglielli

et al.

Diversity and Distributions, Journal Year: 2024, Volume and Issue: 30(4)

Published: Feb. 21, 2024

Abstract Aim Functional trait space analyses are pivotal to describe and compare organisms' functional diversity across the tree of life. Yet, there is no single application that streamlines many sometimes‐troublesome steps needed build analyse spaces. Innovation To fill this gap, we propose funspace , an R package easily handle bivariate multivariate analyses. The six functions constitute can be grouped in three modules: ‘Building exploring’, ‘Mapping’ ‘Plotting’. building exploring module defines main features a (e.g. metrics) by leveraging kernel density‐based methods. mapping uses general additive models map how target variable distributes within space. plotting provides options for creating flexible publication‐ready figures representing outputs obtained from previous modules. We provide worked example demonstrate complete workflow. Main Conclusions will researchers working with traits life new tool explore: (i) any space, (ii) relationship between other biological or non‐biological factor might contribute shaping species' diversity.

Language: Английский

Citations

19

Intraspecific variability of leaf form and function across habitat types DOI Creative Commons
Giacomo Puglielli, Alessandro Bricca, Stefano Chelli

et al.

Ecology Letters, Journal Year: 2024, Volume and Issue: 27(3)

Published: March 1, 2024

Abstract Trait‐based ecology has already revealed main independent axes of trait variation defining spaces that summarize plant adaptive strategies, but often ignoring intraspecific variability (ITV). By using empirical ITV‐level data for two dimensions leaf form and function 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found ITV: (i) rotated define space; (ii) increased variance explained by these (iii) affected functional structure target space. However, magnitude effects was rather small depended on type. Our results reinforce idea ITV is context‐dependent, calling careful extrapolations patterns traits spatial scales. Importantly, our study provides a framework can be used to start integrating into space analyses.

Language: Английский

Citations

19

Linking rhizosphere soil microbial activity and plant resource acquisition strategy DOI
Mengguang Han, Ying Chen, Lijuan Sun

et al.

Journal of Ecology, Journal Year: 2023, Volume and Issue: 111(4), P. 875 - 888

Published: Jan. 19, 2023

Abstract Plants live in association with a diversity of soil microorganisms, which are extremely important affecting plant growth and biogeochemical cycling. By adopting trait‐based approaches, we explored the linkages between rhizosphere microbial activity resource acquisition strategy above‐ below‐ground across range tree species subtropical evergreen mixed forest. The activities were represented by diverse extracellular enzymes relevant to carbon, nitrogen phosphorus cycling organic carbon (SOC) mineralization. At level, leaf root traits mainly two leading dimensions, that is, ‘fast‐slow’ economics spectrum on well aligned orthogonal collaboration gradient root. Both SOC mineralization varied greatly species. We found positively correlated classical conservation (especially above‐ground), microbes associated fast‐growing feature higher metabolism than slow‐growing In comparison, independent root, it might be an alternative exploitative foraging nutrients for plants. Synthesis . Our study strengthens multivariate nature adapting stresses. findings have potential improve our understanding prediction turnover impacts cycles.

Language: Английский

Citations

37

Rapid plant trait evolution can alter coastal wetland resilience to sea level rise DOI
Megan L. Vahsen, Michael J. Blum, J. Patrick Megonigal

et al.

Science, Journal Year: 2023, Volume and Issue: 379(6630), P. 393 - 398

Published: Jan. 26, 2023

Rapid evolution remains a largely unrecognized factor in models that forecast the fate of ecosystems under scenarios global change. In this work, we quantified roles heritable variation plant traits and trait explaining variability forecasts state coastal wetland ecosystems. A common garden study genotypes dominant sedge Schoenoplectus americanus , “resurrected” from time-stratified seed banks, revealed explained key ecosystem attributes such as allocation distribution belowground biomass. Incorporating into an model altered predictions carbon accumulation soil surface accretion (a determinant marsh resilience to sea level rise), demonstrating importance accounting for evolutionary processes when forecasting dynamics.

Language: Английский

Citations

34