| publications-1831 |
Peer reviewed articles |
2021 |
Goutam Kumar Dalapati; Himani Sharma; Asim Guchhait; Nilanjan Chakrabarty; Priyanka Bamola; Qian Nial Liu; Gopalan Saianand; Ambati Mounika Sai Krishna; Sabyasachi Mukhopadhyay; Avishek Dey; Terence Kin Shun Wong; Siarhei Zhuk; Siddharatha Ghosh; Sabyasachi Chakrabortty; Chandreswar Mahata; Sajal Biring; Akash Kumar; Camila Silva Ribeiro; Seeram Ramakrishna; Amit K. Chakraborty; Satheesh Krishnamu |
Tin oxide for optoelectronic, photovoltaic and energy storage devices: a review |
Journal of Materials Chemistry A |
10.1039/d1ta01291f |
Simulation & Modeling |
Natural Water Bodies |
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Tin dioxide (SnO2) used in various applications due to suitable band gap and tunable conductivity. It has excellent thermal, mechanical and chemical stability. |
958491 |
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| publications-1832 |
Peer reviewed articles |
2024 |
Arkhypova, V. Soldatkin, O. Soldatkin, A., Dzyadevych S. |
Electrochemical Biosensors Based on Enzyme Inhibition Effect |
Chemical Record |
10.1002/tcr.202300214 |
Uncategorized |
Natural Water Bodies |
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AbstractSeveral electrochemical biosensors based on various enzyme inhibition effects have been designed; their laboratory prototypes have been manufactured and thoroughly investigated. It should be noted that such biosensors are adapted to large‐scale production technologies. A number of advantages and disadvantages of developed biosensors based on enzyme inhibition has been discussed. It is important that all developed biosensors are not opposite to traditional analytical methods, but complement them. This is an additional system of quick and early warning about the presence of toxic substances in the environment. Such systems can save time and money in emergencies due to the possibility of quick decision‐making on local environmental problems. If necessary, more accurate, but time‐consuming and expensive traditional methods could be used for further validation and additional research of samples previously tested by biosensors. |
958491 |
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| publications-1833 |
Peer reviewed articles |
2021 |
Mykolas Simas Poškus, Lina Jovarauskaitė, Audra Balundė |
A Systematic Review of Drivers of Sustainable Wastewater Treatment Technology Adoption |
Sustainability |
10.3390/su13158584 |
Data Management & Analytics |
River Basins |
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In this systematic review we explore the forces that encourage or hinder the adoption of wastewater treatment and/or management technology. Our literature search uncovered 37 sources that discuss these issues. Retrieved sources were then subjected to qualitative synthesis. We adopted a systems-theory perspective in analyzing the qualitative data and provide insights into the interaction between the political environment and societal and organizational systems. Our findings indicate that sustainable change can best be achieved through understanding the interaction between systems and their actual capability to meet the needs of related systems. Societal-level systems emerge as having the possibility to influence the political environment as well as organizations. |
958491 |
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| publications-1834 |
Peer reviewed articles |
2022 |
S.V. Dzyadevych, O.O. Soldatkin, V.M. Arkhypova, L.V. Shkotova, V.M. Pyeshkova, O.Ya. Saiapina, N. Jaffrezic-Renault, A.P. Soldatkin, A.V. Elskaya |
Practical application of electrochemical enzyme biosensors. |
Biopolymers and Cell |
10.7124/bc.000a76 |
Uncategorized |
Natural Water Bodies |
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No abstract available |
958491 |
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| publications-1835 |
Peer reviewed articles |
2023 |
Qiao, S., Harrison, S.P., Prentice, I.C., Wang, H |
Optimality-based modelling of wheat sowing dates globally |
Agricultural Systems |
10.1016/j.agsy.2023.103608 |
Data Management & Analytics |
Natural Water Bodies |
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No abstract available |
787203 |
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| publications-1836 |
Peer reviewed articles |
2021 |
Sandy P. Harrison, Wolfgang Cramer, Oskar Franklin, Iain Colin Prentice, Han Wang, Åke Brännström, Hugo de Boer, Ulf Dieckmann, Jaideep Joshi, Trevor F. Keenan, Aliénor Lavergne, Stefano Manzoni, Giulia Mengoli, Catherine Morfopoulos, Josep Peñuelas, Stephan Pietsch, Karin T. Rebel, Youngryel Ryu, Nicholas G. Smith, Benjamin D. Stocker, Ian J. Wright |
Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models |
New Phytologist |
10.1111/nph.17558 |
Uncategorized |
Natural Water Bodies |
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SummaryGlobal vegetation and land‐surface models embody interdisciplinary scientific understanding of the behaviour of plants and ecosystems, and are indispensable to project the impacts of environmental change on vegetation and the interactions between vegetation and climate. However, systematic errors and persistently large differences among carbon and water cycle projections by different models highlight the limitations of current process formulations. In this review, focusing on core plant functions in the terrestrial carbon and water cycles, we show how unifying hypotheses derived from eco‐evolutionary optimality (EEO) principles can provide novel, parameter‐sparse representations of plant and vegetation processes. We present case studies that demonstrate how EEO generates parsimonious representations of core, leaf‐level processes that are individually testable and supported by evidence. EEO approaches to photosynthesis and primary production, dark respiration and stomatal behaviour are ripe for implementation in global models. EEO approaches to other important traits, including the leaf economics spectrum and applications of EEO at the community level are active research areas. Independently tested modules emerging from EEO studies could profitably be integrated into modelling frameworks that account for the multiple time scales on which plants and plant communities adjust to environmental change. |
787203 |
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| publications-1837 |
Peer reviewed articles |
2020 |
A. Collalti, A. Ibrom, A. Stockmarr, A. Cescatti, R. Alkama, M. Fernández-Martínez, G. Matteucci, S. Sitch, P. Friedlingstein, P. Ciais, D. S. Goll, J. E. M. S. Nabel, J. Pongratz, A. Arneth, V. Haverd, I. C. Prentice |
Forest production efficiency increases with growth temperature |
Nature Communications |
10.1038/s41467-020-19187-w |
Data Management & Analytics |
Natural Water Bodies |
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AbstractForest production efficiency (FPE) metric describes how efficiently the assimilated carbon is partitioned into plants organs (biomass production, BP) or—more generally—for the production of organic matter (net primary production, NPP). We present a global analysis of the relationship of FPE to stand-age and climate, based on a large compilation of data on gross primary production and either BP or NPP. FPE is important for both forest production and atmospheric carbon dioxide uptake. We find that FPE increases with absolute latitude, precipitation and (all else equal) with temperature. Earlier findings—FPE declining with age—are also supported by this analysis. However, the temperature effect is opposite to what would be expected based on the short-term physiological response of respiration rates to temperature, implying a top-down regulation of carbon loss, perhaps reflecting the higher carbon costs of nutrient acquisition in colder climates. Current ecosystem models do not reproduce this phenomenon. They consistently predict lower FPE in warmer climates, and are therefore likely to overestimate carbon losses in a warming climate. |
787203 |
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| publications-1838 |
Peer reviewed articles |
2022 |
Dong, N., Prentice, I.C., Wright, I.J., Wang, H., Atkin, O.K., Bloomfield, K.J., Domingues, T., Gleason, S.M., Maire, V., Onoda, Y., Poorter, H., Smith, N.G. |
Leaf nitrogen from the perspective of optimal plant function |
Journal of Ecology |
10.1111/1365-2745.13967 |
Data Management & Analytics |
Natural Water Bodies |
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Abstract Leaf dry mass per unit area (LMA), carboxylation capacity (Vcmax) and leaf nitrogen per unit area (Narea) and mass (Nmass) are key traits for plant functional ecology and ecosystem modelling. There is however no consensus about how these traits are regulated, or how they should be modelled. Here we confirm that observed leaf nitrogen across species and sites can be estimated well from observed LMA and Vcmax at 25°C (Vcmax25). We then test the hypothesis that global variations of both quantities depend on climate variables in specific ways that are predicted by leaf‐level optimality theory, thus allowing both Narea to be predicted as functions of the growth environment. A new global compilation of field measurements was used to quantify the empirical relationships of leaf N to Vcmax25 and LMA. Relationships of observed Vcmax25 and LMA to climate variables were estimated, and compared to independent theoretical predictions of these relationships. Soil effects were assessed by analysing biases in the theoretical predictions. LMA was the most important predictor of Narea (increasing) and Nmass (decreasing). About 60% of global variation across species and sites in observed Narea, and 31% in Nmass, could be explained by observed LMA and Vcmax25. These traits, in turn, were quantitatively related to climate variables, with significant partial relationships similar or indistinguishable from those predicted by optimality theory. Predicted trait values explained 21% of global variation in observed site‐mean Vcmax25, 43% in LMA and 31% in Narea. Predicted Vcmax25 was biased low on clay‐rich soils but predicted LMA was biased high, with compensating effects on Narea. Narea was overpredicted on organic soils. Synthesis. Global patterns of variation in observed site‐mean Narea can be explained by climate‐induced variations in optimal Vcmax25 and LMA. Leaf nitrogen should accordingly be modelled as a consequence (not a cause) of Vcmax25 and LMA, both being optimized to the environment. Nitrogen limitation of plant growth would then be modelled principally via whole‐plant carbon allocation, rather than via leaf‐level traits. Further research is required to better understand and model the terrestrial nitrogen and carbon cycles and their coupling. |
787203 |
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| publications-1839 |
Peer reviewed articles |
2024 |
Jiangong Liu, Youngryel Ryu, Xiangzhong Luo, Benjamin Dechant, Benjamin D. Stocker, Trevor F. Keenan, Pierre Gentine, Xing Li, Bolun Li, Sandy P. Harrison, Iain Colin Prentice |
Evidence for widespread thermal acclimation of canopy photosynthesis |
Nature Plants |
10.1038/s41477-024-01846-1 |
Simulation & Modeling |
Natural Water Bodies |
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No abstract available |
787203 |
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| publications-1840 |
Peer reviewed articles |
2024 |
Huanyuan Zhang-Zheng, Xiongjie Deng, Jesús Aguirre-Gutiérrez, Benjamin D. Stocker, Eleanor Thomson, Ruijie Ding, Stephen Adu-Bredu, Akwasi Duah-Gyamfi, Agne Gvozdevaite, Sam Moore, Imma Oliveras Menor, I. Colin Prentice, Yadvinder Malhi |
Why models underestimate West African tropical forest primary productivity |
Nature Communications |
10.1038/s41467-024-53949-0 |
Simulation & Modeling |
River Basins |
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AbstractTropical forests dominate terrestrial photosynthesis, yet there are major contradictions in our understanding due to a lack of field studies, especially outside the tropical Americas. A recent field study indicated that West African forests have among the highest forests gross primary productivity (GPP) yet observed, contradicting models that rank them lower than Amazonian forests. Here, we show possible reasons for this data-model mismatch. We found that biometric GPP measurements are on average 56.3% higher than multiple global GPP products at the study sites. The underestimation of GPP largely disappears when a standard photosynthesis model is informed by local field-measured values of (a) fractional absorbed photosynthetic radiation (fAPAR), and (b) photosynthetic traits. Remote sensing products systematically underestimate fAPAR (33.9% on average at study sites) due to cloud contamination issues. The study highlights the potential widespread underestimation of tropical forests GPP and carbon cycling and hints at the ways forward for model and input data improvement. |
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