Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-1821 Peer reviewed articles 2021 Mengoli, G., Agustí-Panareda, A., Boussetta, S., Harrison, S.P., Trotta, C, Prentice, I.C Ecosystem photosynthesis in land-surface models: a first-principles approach incorporating acclimation Journal of Advances in Modeling Earth Systems 10.1029/2021ms002767 Data Management & Analytics Natural Water Bodies AbstractVegetation regulates land‐atmosphere, water, and energy exchanges and is an essential component of land‐surface models (LSMs). However, LSMs have been handicapped by assumptions that equate acclimated photosynthetic responses to the environment with the fast responses observable in the laboratory. The effects of acclimation can be taken into account by including PFT‐specific values of photosynthetic parameters, but at the cost of increasing parameter requirements. Here, we develop an alternative approach for including acclimation in LSMs by adopting the P model, an existing light‐use efficiency model for gross primary production (GPP) that implicitly predicts the acclimation of photosynthetic parameters on a weekly to monthly timescale via optimality principles. We demonstrate that it is possible to explicitly separate the fast and slow photosynthetic responses to environmental conditions, allowing the simulation of GPP at the sub‐daily timesteps required for coupling in an LSM. The resulting model reproduces the diurnal cycles of GPP recorded by eddy‐covariance flux towers in a temperate grassland and boreal, temperate and tropical forests. The best performance is achieved when biochemical capacities are adjusted to match recent midday conditions. Comparison between this model and the operational LSM in the European Centre for Medium‐range Weather Forecasts climate model shows that the new model has better predictive power in most of the sites and years analyzed, particularly in summer and autumn. Our analyses suggest a simple and parameter‐sparse method to include both instantaneous and acclimated responses within an LSM framework, with potential applications in weather, climate, and carbon‐cycle modeling. 787203
publications-1822 Peer reviewed articles 2024 Jiaze Li, Iain Colin Prentice Global patterns of plant functional traits and their relationships to climate Communications Biology 10.1038/s42003-024-06777-3 Simulation & Modeling Natural Water Bodies AbstractPlant functional traits (FTs) determine growth, reproduction and survival strategies of plants adapted to their growth environment. Exploring global geographic patterns of FTs, their covariation and their relationships to climate are necessary steps towards better-founded predictions of how global environmental change will affect ecosystem composition. We compile an extensive global dataset for 16 FTs and characterise trait-trait and trait-climate relationships separately within non-woody, woody deciduous and woody evergreen plant groups, using multivariate analysis and generalised additive models (GAMs). Among the six major FTs considered, two dominant trait dimensions—representing plant size and the leaf economics spectrum (LES) respectively—are identified within all three groups. Size traits (plant height, diaspore mass) however are generally higher in warmer climates, while LES traits (leaf mass and nitrogen per area) are higher in drier climates. Larger leaves are associated principally with warmer winters in woody evergreens, but with wetter climates in non-woody plants. GAM-simulated global patterns for all 16 FTs explain up to three-quarters of global trait variation. Global maps obtained by upscaling GAMs are broadly in agreement with iNaturalist citizen-science FT data. This analysis contributes to the foundations for global trait-based ecosystem modelling by demonstrating universal relationships between FTs and climate. 787203
publications-1823 Peer reviewed articles 2021 Shen Tan, Han Wang, Iain Colin Prentice, Kun Yang Land-surface evapotranspiration derived from a first-principles primary production model Environmental Research Letters 10.1088/1748-9326/ac29eb IoT & Sensors Natural Water Bodies No abstract available 787203
publications-1824 Peer reviewed articles 2020 Oskar Franklin, Sandy P. Harrison, Roderick Dewar, Caroline E. Farrior, Åke BrĂ€nnström, Ulf Dieckmann, Stephan Pietsch, Daniel Falster, Wolfgang Cramer, Michel Loreau, Han Wang, Annikki MĂ€kelĂ€, Karin T. Rebel, Ehud Meron, Stanislaus J. Schymanski, Elena Rovenskaya, Benjamin D. Stocker, Sönke Zaehle, Stefano Manzoni, Marcel van Oijen, Ian J. Wright, Philippe Ciais, Peter M. van Bodegom, Josep Organizing principles for vegetation dynamics Nature Plants 10.1038/s41477-020-0655-x IoT & Sensors Natural Water Bodies No abstract available 787203
publications-1825 Peer reviewed articles 2023 Keenan, T.F., Luo, X., Stocker, B. D., De Kauwe, M. G., Medlyn, B.E., Prentice, I.C., Smith, N.G., Terrer, C., Wang, H., Zhang, Y. Zhou, S. A constraint on historic growth in global photosynthesis due to rising CO2 Nature Climate Change 10.1038/s41558-023-01867-2 Simulation & Modeling Natural Water Bodies AbstractTheory predicts that rising CO2 increases global photosynthesis, a process known as CO2 fertilization, and that this is responsible for much of the current terrestrial carbon sink. The estimated magnitude of the historic CO2 fertilization, however, differs by an order of magnitude between long-term proxies, remote sensing-based estimates and terrestrial biosphere models. Here we constrain the likely historic effect of CO2 on global photosynthesis by combining terrestrial biosphere models, ecological optimality theory, remote sensing approaches and an emergent constraint based on global carbon budget estimates. Our analysis suggests that CO2 fertilization increased global annual terrestrial photosynthesis by 13.5 ± 3.5% or 15.9 ± 2.9 PgC (mean ± s.d.) between 1981 and 2020. Our results help resolve conflicting estimates of the historic sensitivity of global terrestrial photosynthesis to CO2 and highlight the large impact anthropogenic emissions have had on ecosystems worldwide. 787203
publications-1826 Peer reviewed articles 2021 Yunke Peng, Keith J. Bloomfield, Lucas A. Cernusak, Tomas F. Domingues, I. Colin Prentice Global climate and nutrient controls of photosynthetic capacity Communications Biology 10.1038/s42003-021-01985-7 AI & Machine Learning Natural Water Bodies AbstractThere is huge uncertainty about how global exchanges of carbon between the atmosphere and land will respond to continuing environmental change. A better representation of photosynthetic capacity is required for Earth System models to simulate carbon assimilation reliably. Here we use a global leaf-trait dataset to test whether photosynthetic capacity is quantitatively predictable from climate, based on optimality principles; and to explore how this prediction is modified by soil properties, including indices of nitrogen and phosphorus availability, measured in situ. The maximum rate of carboxylation standardized to 25 °C (Vcmax25) was found to be proportional to growing-season irradiance, and to increase—as predicted—towards both colder and drier climates. Individual species’ departures from predicted Vcmax25 covaried with area-based leaf nitrogen (Narea) but community-mean Vcmax25 was unrelated to Narea, which in turn was unrelated to the soil C:N ratio. In contrast, leaves with low area-based phosphorus (Parea) had low Vcmax25 (both between and within communities), and Parea increased with total soil P. These findings do not support the assumption, adopted in some ecosystem and Earth System models, that leaf-level photosynthetic capacity depends on soil N supply. They do, however, support a previously-noted relationship between photosynthesis and soil P supply. 787203
publications-1827 Peer reviewed articles 2019 A Collalti, I C Prentice Is NPP proportional to GPP? Waring’s hypothesis 20 years on Tree Physiology 10.1093/treephys/tpz034 Data Management & Analytics Natural Water Bodies AbstractGross primary production (GPP) is partitioned to autotrophic respiration (Ra) and net primary production (NPP), the latter being used to build plant tissues and synthesize non-structural and secondary compounds. Waring et al. (1998; Net primary production of forests: a constant fraction of gross primary production? Tree Physiol 18:129–134) suggested that a NPP:GPP ratio of 0.47 ± 0.04 (SD) is universal across biomes, tree species and stand ages. Representing NPP in models as a fixed fraction of GPP, they argued, would be both simpler and more accurate than trying to simulate Ra mechanistically. This paper reviews progress in understanding the NPP:GPP ratio in forests during the 20 years since the Waring et al. paper. Research has confirmed the existence of pervasive acclimation mechanisms that tend to stabilize the NPP:GPP ratio and indicates that Ra should not be modelled independently of GPP. Nonetheless, studies indicate that the value of this ratio is influenced by environmental factors, stand age and management. The average NPP:GPP ratio in over 200 studies, representing different biomes, species and forest stand ages, was found to be 0.46, consistent with the central value that Waring et al. proposed but with a much larger standard deviation (±0.12) and a total range (0.22–0.79) that is too large to be disregarded. 787203
publications-1828 Peer reviewed articles 2024 Jin-Yong Lee, Jihye Cha, Kyoochul Ha, Stefano Viaroli Microplastic pollution in groundwater: a systematic review Environmental Pollutants and Bioavailability 10.1080/26395940.2023.2299545 Data Management & Analytics Natural Water Bodies No abstract available 101028018
publications-1829 Peer reviewed articles 2025 MercĂš Font Brucart, Christoph Studer, Foteini Petrakli, Yvonne Lydia Kohl, Sateesh Krishnamurthy, Michalis Galatoulas, Roland Hischier, Tobias Walser (DRAFT) Circularity of water in the textile industry: Sustainability evaluation of an innovative advanced treatment train for water reuse International Journal of Life Cycle Assessment Simulation & Modeling Natural Water Bodies No abstract available 958491
publications-1830 Peer reviewed articles 2024 O.Soldatkin; V.Pyeshkova; I.S. Kucherenko, T.Velychko; V.A.Bakhmat; V.Arkhypova; A.Soldatkin; S.Dzyadevych. Application of butyrylcholinesterase-based biosensor for simultaneous determination of different toxicants using inhibition and reactivation steps Electroanalysis 10.1002/elan.202300400 Simulation & Modeling Natural Water Bodies AbstractFast and simple detection of toxic compounds in aqueous solutions is important for agriculture and pollution monitoring. Enzyme‐based electrochemical biosensors are a promising platform for this task, but they usually lack the ability to distinguish between toxicants if more than one toxicant is present in the sample. Herein, we propose a new method of detection of various toxic compounds in complex multi‐component water samples using an electrochemical biosensor and additional stages of enzyme reactivation. The biosensor is based on butyrylcholinesterase immobilized on the surface of conductometric transducers using glutaraldehyde cross‐linking. It was shown that the biosensor is sensitive to organophosphorus pesticides, heavy metals ions, glycoalkaloids, but has a limited sensitivity to mycotoxins and surfactants. We propose a procedure for the analysis of complex samples with several reactivation stages to be able to determine which category of toxicants is present. Glycoalkaloids are reversible inhibitors and biosensor's activity is restored by washing in working buffer; heavy metal ions and pesticides are irreversible inhibitors and biosensor's activity is restored by incubation in EDTA and PAM‐2 solutions, correspondingly. This biosensor can be used for the detection of separate toxicants or for analysis of their mixtures in aqueous samples. It can be also used for the evaluation of total toxicity of the samples and applied for water quality monitoring. 958491