Articles | Volume 19, issue 8
https://doi.org/10.5194/bg-19-2187-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-2187-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2022
Research article |
| 22 Apr 2022
| 22 Apr 2022
A Bayesian sequential updating approach to predict phenology of silage maize
Michelle Viswanathan
CORRESPONDING AUTHOR
Institute of Soil Science and Land Evaluation, Biogeophysics,
University of Hohenheim, Stuttgart, Germany
Tobias K. D. Weber
Institute of Soil Science and Land Evaluation, Biogeophysics,
University of Hohenheim, Stuttgart, Germany
Sebastian Gayler
Institute of Soil Science and Land Evaluation, Biogeophysics,
University of Hohenheim, Stuttgart, Germany
Juliane Mai
Department of Civil and Environmental Engineering, University of
Waterloo, Waterloo, Canada
Thilo Streck
Institute of Soil Science and Land Evaluation, Biogeophysics,
University of Hohenheim, Stuttgart, Germany
Related authors
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Maria Staudinger, Anna Herzog, Ralf Loritz, Tobias Houska, Sandra Pool, Diana Spieler, Paul D. Wagner, Juliane Mai, Jens Kiesel, Stephan Thober, Björn Guse, and Uwe Ehret
EGUsphere, https://doi.org/10.5194/egusphere-2025-1076, https://doi.org/10.5194/egusphere-2025-1076, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Four process-based and four data-driven hydrological models are compared using different training data. We found process-based models to perform better with small data sets but stop learning soon, while data-driven models learn longer. The study highlights the importance of memory in data and the impact of different data sampling methods on model performance. The direct comparison of these models is novel and provides a clear understanding of their performance under various data conditions.
Mona Giraud, Ahmet Kürşad Sırcan, Thilo Streck, Daniel Leitner, Guillaume Lobet, Holger Pagel, and Andrea Schnepf
EGUsphere, https://doi.org/10.5194/egusphere-2025-572, https://doi.org/10.5194/egusphere-2025-572, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
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We developed a multiscale simulation model that combines 3D plant architecture with carbon cycling in the rhizosphere and soil to understand how dry spells impact carbon and water flows, focusing on the activity of the soil microbes. We found that the microbial communities’ characteristics and dry spells’ start dates significantly affect rhizosphere CO2 emissions and carbon cycling. This model can help understand the effects of climate change on plant growth and soil organic matter dynamics.
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024, https://doi.org/10.5194/hess-28-3391-2024, 2024
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Pedotransfer functions (PTFs) are used to predict parameters of models describing the hydraulic properties of soils. The appropriateness of these predictions critically relies on the nature of the datasets for training the PTFs and the physical comprehensiveness of the models. This roadmap paper is addressed to PTF developers and users and critically reflects the utility and future of PTFs. To this end, we present a manifesto aiming at a paradigm shift in PTF research.
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024, https://doi.org/10.5194/hess-28-2107-2024, 2024
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It is challenging to incorporate input variables' spatial distribution information when implementing long short-term memory (LSTM) models for streamflow prediction. This work presents a novel hybrid modelling approach to predict streamflow while accounting for spatial variability. We evaluated the performance against lumped LSTM predictions in 224 basins across the Great Lakes region in North America. This approach shows promise for predicting streamflow in large, ungauged basin.
Samah Larabi, Juliane Mai, Markus Schnorbus, Bryan A. Tolson, and Francis Zwiers
Hydrol. Earth Syst. Sci., 27, 3241–3263, https://doi.org/10.5194/hess-27-3241-2023, https://doi.org/10.5194/hess-27-3241-2023, 2023
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The computational cost of sensitivity analysis (SA) becomes prohibitive for large hydrologic modeling domains. Here, using a large-scale Variable Infiltration Capacity (VIC) deployment, we show that watershed classification helps identify the spatial pattern of parameter sensitivity within the domain at a reduced cost. Findings reveal the opportunity to leverage climate and land cover attributes to reduce the cost of SA and facilitate more rapid deployment of large-scale land surface models.
Benjamin Guillaume, Hanane Aroui Boukbida, Gerben Bakker, Andrzej Bieganowski, Yves Brostaux, Wim Cornelis, Wolfgang Durner, Christian Hartmann, Bo V. Iversen, Mathieu Javaux, Joachim Ingwersen, Krzysztof Lamorski, Axel Lamparter, András Makó, Ana María Mingot Soriano, Ingmar Messing, Attila Nemes, Alexandre Pomes-Bordedebat, Martine van der Ploeg, Tobias Karl David Weber, Lutz Weihermüller, Joost Wellens, and Aurore Degré
SOIL, 9, 365–379, https://doi.org/10.5194/soil-9-365-2023, https://doi.org/10.5194/soil-9-365-2023, 2023
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Measurements of soil water retention properties play an important role in a variety of societal issues that depend on soil water conditions. However, there is little concern about the consistency of these measurements between laboratories. We conducted an interlaboratory comparison to assess the reproducibility of the measurement of the soil water retention curve. Results highlight the need to harmonize and standardize procedures to improve the description of unsaturated processes in soils.
Robert Chlumsky, Juliane Mai, James R. Craig, and Bryan A. Tolson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-69, https://doi.org/10.5194/hess-2023-69, 2023
Revised manuscript not accepted
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A blended model allows multiple hydrologic processes to be represented in a single model, which allows for a model to achieve high performance without the need to modify its structure for different catchments. Here, we improve upon the initial blended version by testing more than 30 blended models in twelve catchments to improve the overall model performance. We validate our proposed, updated blended model version with independent catchments, and make this version available for open use.
Florian Späth, Verena Rajtschan, Tobias K. D. Weber, Shehan Morandage, Diego Lange, Syed Saqlain Abbas, Andreas Behrendt, Joachim Ingwersen, Thilo Streck, and Volker Wulfmeyer
Geosci. Instrum. Method. Data Syst., 12, 25–44, https://doi.org/10.5194/gi-12-25-2023, https://doi.org/10.5194/gi-12-25-2023, 2023
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Important topics in land–atmosphere feedback research are water and energy balances and heterogeneities of fluxes at the land surface and in the atmosphere. To target these questions, the Land–Atmosphere Feedback Observatory (LAFO) has been installed in Germany. The instrumentation allows for comprehensive measurements from the bedrock to the troposphere. The LAFO observation strategy aims for simultaneous measurements in all three compartments: atmosphere, soil and land surface, and vegetation.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Juliane Mai, Hongren Shen, Bryan A. Tolson, Étienne Gaborit, Richard Arsenault, James R. Craig, Vincent Fortin, Lauren M. Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel G. Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan K. Shrestha, André G. T. Temgoua, Vincent Vionnet, and Jonathan W. Waddell
Hydrol. Earth Syst. Sci., 26, 3537–3572, https://doi.org/10.5194/hess-26-3537-2022, https://doi.org/10.5194/hess-26-3537-2022, 2022
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Model intercomparison studies are carried out to test various models and compare the quality of their outputs over the same domain. In this study, 13 diverse model setups using the same input data are evaluated over the Great Lakes region. Various model outputs – such as streamflow, evaporation, soil moisture, and amount of snow on the ground – are compared using standardized methods and metrics. The basin-wise model outputs and observations are made available through an interactive website.
Tobias K. D. Weber, Joachim Ingwersen, Petra Högy, Arne Poyda, Hans-Dieter Wizemann, Michael Scott Demyan, Kristina Bohm, Ravshan Eshonkulov, Sebastian Gayler, Pascal Kremer, Moritz Laub, Yvonne Funkiun Nkwain, Christian Troost, Irene Witte, Tim Reichenau, Thomas Berger, Georg Cadisch, Torsten Müller, Andreas Fangmeier, Volker Wulfmeyer, and Thilo Streck
Earth Syst. Sci. Data, 14, 1153–1181, https://doi.org/10.5194/essd-14-1153-2022, https://doi.org/10.5194/essd-14-1153-2022, 2022
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Presented are measurement results from six agricultural fields operated by local farmers in southwestern Germany over 9 years. Six eddy-covariance stations measuring water, energy, and carbon fluxes between the vegetated soil surface and the atmosphere provided the backbone of the measurement sites and were supplemented by extensive soil and vegetation state monitoring. The dataset is ideal for testing process models characterizing fluxes at the vegetated soil surface and in the atmosphere.
Nicolas Gasset, Vincent Fortin, Milena Dimitrijevic, Marco Carrera, Bernard Bilodeau, Ryan Muncaster, Étienne Gaborit, Guy Roy, Nedka Pentcheva, Maxim Bulat, Xihong Wang, Radenko Pavlovic, Franck Lespinas, Dikra Khedhaouiria, and Juliane Mai
Hydrol. Earth Syst. Sci., 25, 4917–4945, https://doi.org/10.5194/hess-25-4917-2021, https://doi.org/10.5194/hess-25-4917-2021, 2021
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In this paper, we highlight the importance of including land-data assimilation as well as offline precipitation analysis components in a regional reanalysis system. We also document the performance of the first multidecadal 10 km reanalysis performed with the GEM atmospheric model that can be used for seamless land-surface and hydrological modelling in North America. It is of particular interest for transboundary basins, as existing datasets often show discontinuities at the border.
Brigitta Szabó, Melanie Weynants, and Tobias K. D. Weber
Geosci. Model Dev., 14, 151–175, https://doi.org/10.5194/gmd-14-151-2021, https://doi.org/10.5194/gmd-14-151-2021, 2021
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This paper presents updated European prediction algorithms (euptf2) to compute soil hydraulic parameters from easily available soil properties. The new algorithms lead to significantly better predictions and provide a built-in prediction uncertainty computation. The influence of predictor variables on predicted soil hydraulic properties is explored and practical guidance on how to use the derived PTFs is provided. A website and an R package facilitate easy application of the updated predictions.
Juliane Mai, James R. Craig, and Bryan A. Tolson
Hydrol. Earth Syst. Sci., 24, 5835–5858, https://doi.org/10.5194/hess-24-5835-2020, https://doi.org/10.5194/hess-24-5835-2020, 2020
Kristina Bohm, Joachim Ingwersen, Josipa Milovac, and Thilo Streck
Biogeosciences, 17, 2791–2805, https://doi.org/10.5194/bg-17-2791-2020, https://doi.org/10.5194/bg-17-2791-2020, 2020
Stephan Thober, Matthias Cuntz, Matthias Kelbling, Rohini Kumar, Juliane Mai, and Luis Samaniego
Geosci. Model Dev., 12, 2501–2521, https://doi.org/10.5194/gmd-12-2501-2019, https://doi.org/10.5194/gmd-12-2501-2019, 2019
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We present a model that aggregates simulated runoff along a river
(i.e. a routing model). The unique feature of the model is that it
can be run at multiple resolutions without any modifications to the
input data. The model internally (dis-)aggregates all input data to
the resolution given by the user. The model performance does not
depend on the chosen resolution. This allows efficient model
calibration at coarse resolution and subsequent model application at
fine resolution.
Ravshan Eshonkulov, Arne Poyda, Joachim Ingwersen, Hans-Dieter Wizemann, Tobias K. D. Weber, Pascal Kremer, Petra Högy, Alim Pulatov, and Thilo Streck
Biogeosciences, 16, 521–540, https://doi.org/10.5194/bg-16-521-2019, https://doi.org/10.5194/bg-16-521-2019, 2019
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We compared the energy balance closure (EBC) under varying environmental conditions and investigated a wide range of possible reasons for the energy imbalance. As measures for the imbalance, we used ordinary linear regression, the energy balance ratio (EBR), and the energy residual. The EBR was also investigated as a function of buoyancy, friction velocity, and atmospheric stability. Moreover, the relationship between the EBC and flux source area or footprint was also investigated.
Mehmet C. Demirel, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, and Simon Stisen
Hydrol. Earth Syst. Sci., 22, 1299–1315, https://doi.org/10.5194/hess-22-1299-2018, https://doi.org/10.5194/hess-22-1299-2018, 2018
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Satellite data offer great opportunities to improve spatial model predictions by means of spatially oriented model evaluations. In this study, satellite images are used to observe spatial patterns of evapotranspiration at the land surface. These spatial patterns are utilized in combination with streamflow observations in a model calibration framework including a novel spatial performance metric tailored to target the spatial pattern performance of a catchment-scale hydrological model.
Reuven B. Simhayov, Tobias K. D. Weber, and Jonathan S. Price
SOIL, 4, 63–81, https://doi.org/10.5194/soil-4-63-2018, https://doi.org/10.5194/soil-4-63-2018, 2018
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Lab experiments were performed to understand solute transport in peat from an experimental fen. Transport was analyzed under saturated and unsaturated conditions using NaCl (salt). We tested the applicability of a physical-based model which finds a wide consensus vs. alternative models. Evidence indicated that Cl transport can be explained using a simple transport model. Hence, use of the physical transport mechanism in peat should be evidence based and not automatically assumed.
Raneem Madi, Gerrit Huibert de Rooij, Henrike Mielenz, and Juliane Mai
Hydrol. Earth Syst. Sci., 22, 1193–1219, https://doi.org/10.5194/hess-22-1193-2018, https://doi.org/10.5194/hess-22-1193-2018, 2018
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Water flows through soils with more difficulty when the soil is dried out. Scant rainfall in deserts may therefore result in a seemingly wet soil, but the water will often not penetrate deeply enough to replenish the groundwater. We compared the mathematical functions that describe how well different soils hold their water and found that only a few of them are realistic. The function one chooses to model the soil can have a large impact on the estimate of groundwater recharge.
Tobias Karl David Weber, Sascha Christian Iden, and Wolfgang Durner
Hydrol. Earth Syst. Sci., 21, 6185–6200, https://doi.org/10.5194/hess-21-6185-2017, https://doi.org/10.5194/hess-21-6185-2017, 2017
Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias
Hydrol. Earth Syst. Sci., 21, 5009–5030, https://doi.org/10.5194/hess-21-5009-2017, https://doi.org/10.5194/hess-21-5009-2017, 2017
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A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
Merit van den Berg, Joachim Ingwersen, Marc Lamers, and Thilo Streck
Biogeosciences, 13, 6107–6119, https://doi.org/10.5194/bg-13-6107-2016, https://doi.org/10.5194/bg-13-6107-2016, 2016
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Peatlands are interesting options for carbon storage but are also natural emitters of the greenhouse gas methane. Peatlands dominated by common reed are interesting because of their global abundance as a wetland plant and their ability to transport gases between the soil and the atmosphere. We found that reed plants highly influenced methane fluxes due to their gas transport mechanism, and that our peatland was a net sink for greenhouse gases in the year 2013.
Remko C. Nijzink, Luis Samaniego, Juliane Mai, Rohini Kumar, Stephan Thober, Matthias Zink, David Schäfer, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 1151–1176, https://doi.org/10.5194/hess-20-1151-2016, https://doi.org/10.5194/hess-20-1151-2016, 2016
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The heterogeneity of landscapes in river basins strongly affects the hydrological response. In this study, the distributed mesoscale Hydrologic Model (mHM) was equipped with additional processes identified by landscapes within one modelling cell. Seven study catchments across Europe were selected to test the value of this additional sub-grid heterogeneity. In addition, the models were constrained based on expert knowledge. Generally, the modifications improved the representation of low flows.
Rohini Kumar, Jude L. Musuuza, Anne F. Van Loon, Adriaan J. Teuling, Roland Barthel, Jurriaan Ten Broek, Juliane Mai, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1117–1131, https://doi.org/10.5194/hess-20-1117-2016, https://doi.org/10.5194/hess-20-1117-2016, 2016
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In a maiden attempt, we performed a multiscale evaluation of the widely used SPI to characterize local- and regional-scale groundwater (GW) droughts using observations at 2040 groundwater wells in Germany and the Netherlands. From this data-based exploratory analysis, we provide sufficient evidence regarding the inability of the SPI to characterize GW drought events, and stress the need for more GW observations and accounting for regional hydrogeological characteristics in GW drought monitoring.
K. Imukova, J. Ingwersen, M. Hevart, and T. Streck
Biogeosciences, 13, 63–75, https://doi.org/10.5194/bg-13-63-2016, https://doi.org/10.5194/bg-13-63-2016, 2016
J. Ingwersen, K. Imukova, P. Högy, and T. Streck
Biogeosciences, 12, 2311–2326, https://doi.org/10.5194/bg-12-2311-2015, https://doi.org/10.5194/bg-12-2311-2015, 2015
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The energy balance of eddy covariance (EC) flux data is normally not closed. Therefore, EC flux data are usually post-closed, i.e. the measured turbulent fluxes are adjusted so as to close the energy balance. We propose to use in model evaluation the post-closure method uncertainty band (PUB) to account for the uncertainty in EC data originating from lacking energy balance closure. Working with only a single post-closing method might result in severe misinterpretations in model-data comparison.
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Source-to-sink pathways of dissolved organic carbon in the river–estuary–ocean continuum: a modeling investigation
Impact of livestock activity on near-surface ground temperatures in central Mongolian grasslands
Impact of canopy environmental variables on the diurnal dynamics of water and carbon dioxide exchange at leaf and canopy level
Unique ocean circulation pathways reshape the Indian Ocean oxygen minimum zone with warming
Contribution of the open ocean to the nutrient and phytoplankton inventory in a semi-enclosed coastal sea
The contrasted phytoplankton dynamics across a frontal system in the southwestern Mediterranean Sea
Sub-frontal niches of plankton communities driven by transport and trophic interactions at ocean fronts
Differential feeding habits of the shallow-water hydrothermal vent crab Xenograpsus testudinatus correlate with their resident vent types at a scale of meters
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Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model
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Seasonal ecosystem vulnerability to climatic anomalies in the Mediterranean
Grazing behavior and winter phytoplankton accumulation
Episodic subduction patches in the western North Pacific identified from BGC-Argo float data
Do Loop Current eddies stimulate productivity in the Gulf of Mexico?
Quasi-tropical cyclone caused anomalous autumn coccolithophore bloom in the Black Sea
Divergent climate feedbacks on winter wheat growing and dormancy periods as affected by sowing date in the North China Plain
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Evidence of eddy-related deep-ocean current variability in the northeast tropical Pacific Ocean induced by remote gap winds
Root uptake under mismatched distributions of water and nutrients in the root zone
Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system
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Jialing Yao, Zhi Chen, Jianzhong Ge, and Wenyan Zhang
Biogeosciences, 21, 5435–5455, https://doi.org/10.5194/bg-21-5435-2024, https://doi.org/10.5194/bg-21-5435-2024, 2024
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The transformation of dissolved organic carbon (DOC) in estuaries is vital for coastal carbon cycling. We studied source-to-sink pathways of DOC in the Changjiang Estuary using a physics–biogeochemistry model. Results showed a transition of DOC from a sink to a source in the plume area during summer, with a transition from terrestrial-dominant to marine-dominant DOC. Terrigenous and marine DOC exports account for about 31 % and 69 %, respectively.
Robin Benjamin Zweigel, Avirmed Dashtseren, Khurelbaatar Temuujin, Anarmaa Sharkhuu, Clare Webster, Hanna Lee, and Sebastian Westermann
Biogeosciences, 21, 5059–5077, https://doi.org/10.5194/bg-21-5059-2024, https://doi.org/10.5194/bg-21-5059-2024, 2024
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Intense grazing at grassland sites removes vegetation, reduces the snow cover, and inhibits litter layers from forming. Grazed sites generally have a larger annual ground surface temperature amplitude than ungrazed sites, but the net effect depends on effects in the transitional seasons. Our results also suggest that seasonal use of pastures can reduce ground temperatures, which can be a strategy to protect currently degrading grassland permafrost.
Raquel González-Armas, Jordi Vilà-Guerau de Arellano, Mary Rose Mangan, Oscar Hartogensis, and Hugo de Boer
Biogeosciences, 21, 2425–2445, https://doi.org/10.5194/bg-21-2425-2024, https://doi.org/10.5194/bg-21-2425-2024, 2024
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This paper investigates the water and CO2 exchange for an alfalfa field with observations and a model with spatial scales ranging from the stomata to the atmospheric boundary layer. To relate the environmental factors to the leaf gas exchange, we developed three equations that quantify how many of the temporal changes of the leaf gas exchange occur due to changes in the environmental variables. The novelty of the research resides in the capacity to dissect the dynamics of the leaf gas exchange.
Sam Ditkovsky, Laure Resplandy, and Julius Busecke
Biogeosciences, 20, 4711–4736, https://doi.org/10.5194/bg-20-4711-2023, https://doi.org/10.5194/bg-20-4711-2023, 2023
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The global ocean is losing oxygen due to warming. The Indian Ocean, however, is gaining oxygen in large parts of the basin, and its naturally occurring oxygen minimum zone is not expanding. This rather unexpected response is explained by the unique ocean circulation of the Indian Ocean, which is bounded by a continent to the north but connected to the Pacific Ocean by the Indonesian Throughflow.
Qian Leng, Xinyu Guo, Junying Zhu, and Akihiko Morimoto
Biogeosciences, 20, 4323–4338, https://doi.org/10.5194/bg-20-4323-2023, https://doi.org/10.5194/bg-20-4323-2023, 2023
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Using a numerical model, we revealed that a large proportion of nutrients in a semi-enclosed sea (Seto Inland Sea, Japan) comes from the Pacific Ocean and supports about half of the phytoplankton growth in the sea. Such results imply that the human-made management of nutrient load from land needs to consider the presence of oceanic nutrients, which act as a background concentration and are not controlled by human activities.
Roxane Tzortzis, Andrea M. Doglioli, Monique Messié, Stéphanie Barrillon, Anne A. Petrenko, Lloyd Izard, Yuan Zhao, Francesco d'Ovidio, Franck Dumas, and Gérald Gregori
Biogeosciences, 20, 3491–3508, https://doi.org/10.5194/bg-20-3491-2023, https://doi.org/10.5194/bg-20-3491-2023, 2023
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We studied a finescale frontal structure in order to highlight its influence on the dynamics and distribution of phytoplankton communities. We computed the growth rates of several phytoplankton groups identified by flow cytometry in two water masses separated by the front. We found contrasted phytoplankton dynamics on the two sides of the front, consistent with the distribution of their abundances. Our study gives new insights into the physical and biological coupling on a finescale front.
Inès Mangolte, Marina Lévy, Clément Haëck, and Mark D. Ohman
Biogeosciences, 20, 3273–3299, https://doi.org/10.5194/bg-20-3273-2023, https://doi.org/10.5194/bg-20-3273-2023, 2023
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Ocean fronts are ecological hotspots, associated with higher diversity and biomass for many marine organisms, from bacteria to whales. Using in situ data from the California Current Ecosystem, we show that far from being limited to the production of diatom blooms, fronts are the scene of complex biophysical couplings between biotic interactions (growth, competition, and predation) and transport by currents that generate planktonic communities with an original taxonomic and spatial structure.
Jing-Ying Wu, Siou-Yan Lin, Jung-Fu Huang, Chen-Tung Arthur Chen, Jia-Jang Hung, Shao-Hung Peng, and Li-Lian Liu
Biogeosciences, 20, 2693–2706, https://doi.org/10.5194/bg-20-2693-2023, https://doi.org/10.5194/bg-20-2693-2023, 2023
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The shallow-water hydrothermal vents off the Kueishan Island, Taiwan, have the most extreme records of pH values (1.52), temperatures (116 °C), and H2S concentrations (172.4 mmol mol−1) in the world. White and yellow vents differ in the color and physical and chemical characteristics of emitted plumes. We found that the feeding habits of the endemic vent crabs (Xenograpsus testudinatus) are adapted to their resident vent types at a distance of 100 m, and the trans-vent movement is uncommon.
Clément Haëck, Marina Lévy, Inès Mangolte, and Laurent Bopp
Biogeosciences, 20, 1741–1758, https://doi.org/10.5194/bg-20-1741-2023, https://doi.org/10.5194/bg-20-1741-2023, 2023
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Phytoplankton vary in abundance in the ocean over large regions and with the seasons but also because of small-scale heterogeneities in surface temperature, called fronts. Here, using satellite imagery, we found that fronts enhance phytoplankton much more where it is already growing well, but despite large local increases the enhancement for the region is modest (5 %). We also found that blooms start 1 to 2 weeks earlier over fronts. These effects may have implications for ecosystems.
Cédric Bacour, Natasha MacBean, Frédéric Chevallier, Sébastien Léonard, Ernest N. Koffi, and Philippe Peylin
Biogeosciences, 20, 1089–1111, https://doi.org/10.5194/bg-20-1089-2023, https://doi.org/10.5194/bg-20-1089-2023, 2023
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The impact of assimilating different dataset combinations on regional to global-scale C budgets is explored with the ORCHIDEE model. Assimilating simultaneously multiple datasets is preferable to optimize the values of the model parameters and avoid model overfitting. The challenges in constraining soil C disequilibrium using atmospheric CO2 data are highlighted for an accurate prediction of the land sink distribution.
Matti Kämäräinen, Juha-Pekka Tuovinen, Markku Kulmala, Ivan Mammarella, Juha Aalto, Henriikka Vekuri, Annalea Lohila, and Anna Lintunen
Biogeosciences, 20, 897–909, https://doi.org/10.5194/bg-20-897-2023, https://doi.org/10.5194/bg-20-897-2023, 2023
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In this study, we introduce a new method for modeling the exchange of carbon between the atmosphere and a study site located in a boreal forest in southern Finland. Our method yields more accurate results than previous approaches in this context. Accurately estimating carbon exchange is crucial for gaining a better understanding of the role of forests in regulating atmospheric carbon and addressing climate change.
Stéphanie Barrillon, Robin Fuchs, Anne A. Petrenko, Caroline Comby, Anthony Bosse, Christophe Yohia, Jean-Luc Fuda, Nagib Bhairy, Frédéric Cyr, Andrea M. Doglioli, Gérald Grégori, Roxane Tzortzis, Francesco d'Ovidio, and Melilotus Thyssen
Biogeosciences, 20, 141–161, https://doi.org/10.5194/bg-20-141-2023, https://doi.org/10.5194/bg-20-141-2023, 2023
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Extreme weather events can have a major impact on ocean physics and biogeochemistry, but their study is challenging. In May 2019, an intense storm occurred in the north-western Mediterranean Sea, during which in situ multi-platform measurements were performed. The results show a strong impact on the surface phytoplankton, highlighting the need for high-resolution measurements coupling physics and biology during these violent events that may become more common in the context of global change.
Darren C. McKee, Scott C. Doney, Alice Della Penna, Emmanuel S. Boss, Peter Gaube, Michael J. Behrenfeld, and David M. Glover
Biogeosciences, 19, 5927–5952, https://doi.org/10.5194/bg-19-5927-2022, https://doi.org/10.5194/bg-19-5927-2022, 2022
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As phytoplankton (small, drifting photosynthetic organisms) drift with ocean currents, biomass accumulation rates should be evaluated in a Lagrangian (observer moves with a fluid parcel) as opposed to an Eulerian (observer is stationary) framework. Here, we use profiling floats and surface drifters combined with satellite data to analyse time and length scales of chlorophyll concentrations (a proxy for biomass) and of velocity to quantify how phytoplankton variability is related to water motion.
Karo Michaelian and Aleksandar Simeonov
Biogeosciences, 19, 4029–4034, https://doi.org/10.5194/bg-19-4029-2022, https://doi.org/10.5194/bg-19-4029-2022, 2022
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We reply to Lars Björn's critique of our article concerning the importance of photon dissipation to the origin and evolution of the biosphere. Björn doubts our assertion that organic pigments, ecosystems, and the biosphere arose out of a non-equilibrium thermodynamic imperative to increase global photon dissipation. He shows that the albedo of some non-living material is less than that of living material. We point out, however, that photon dissipation involves other factors besides albedo.
Reint Fischer, Delphine Lobelle, Merel Kooi, Albert Koelmans, Victor Onink, Charlotte Laufkötter, Linda Amaral-Zettler, Andrew Yool, and Erik van Sebille
Biogeosciences, 19, 2211–2234, https://doi.org/10.5194/bg-19-2211-2022, https://doi.org/10.5194/bg-19-2211-2022, 2022
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Since current estimates show that only about 1 % of the all plastic that enters the ocean is floating at the surface, we look at subsurface processes that can cause vertical movement of (micro)plastic. We investigate how modelled algal attachment and the ocean's vertical movement can cause particles to sink and oscillate in the open ocean. Particles can sink to depths of > 5000 m in regions with high wind intensity and mainly remain close to the surface with low winds and biological activity.
Jessica Kolbusz, Tim Langlois, Charitha Pattiaratchi, and Simon de Lestang
Biogeosciences, 19, 517–539, https://doi.org/10.5194/bg-19-517-2022, https://doi.org/10.5194/bg-19-517-2022, 2022
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Western rock lobster larvae spend up to 11 months in offshore waters before ocean currents and their ability to swim transport them back to the coast. In 2008, there was a reduction in the number of puerulus (larvae) settling into the fishery. We use an oceanographic model to see how the environment may have contributed to the reduction. Our results show that a combination of effects from local currents and a widespread quiet period in the ocean off WA likely led to less puerulus settlement.
Rémy Asselot, Frank Lunkeit, Philip B. Holden, and Inga Hense
Biogeosciences, 19, 223–239, https://doi.org/10.5194/bg-19-223-2022, https://doi.org/10.5194/bg-19-223-2022, 2022
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Previous studies show that phytoplankton light absorption can warm the atmosphere, but how this warming occurs is still unknown. We compare the importance of air–sea heat versus CO2 flux in the phytoplankton-induced atmospheric warming and determine the main driver. To shed light on this research question, we conduct simulations with a climate model of intermediate complexity. We show that phytoplankton mainly warms the atmosphere by increasing the air–sea CO2 flux.
Roxane Tzortzis, Andrea M. Doglioli, Stéphanie Barrillon, Anne A. Petrenko, Francesco d'Ovidio, Lloyd Izard, Melilotus Thyssen, Ananda Pascual, Bàrbara Barceló-Llull, Frédéric Cyr, Marc Tedetti, Nagib Bhairy, Pierre Garreau, Franck Dumas, and Gérald Gregori
Biogeosciences, 18, 6455–6477, https://doi.org/10.5194/bg-18-6455-2021, https://doi.org/10.5194/bg-18-6455-2021, 2021
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This work analyzes an original high-resolution data set collected in the Mediterranean Sea. The major result is the impact of a fine-scale frontal structure on the distribution of phytoplankton groups, in an area of moderate energy with oligotrophic conditions. Our results provide an in situ confirmation of the findings obtained by previous modeling studies and remote sensing about the structuring effect of the fine-scale ocean dynamics on the structure of the phytoplankton community.
Johannes Vogel, Eva Paton, and Valentin Aich
Biogeosciences, 18, 5903–5927, https://doi.org/10.5194/bg-18-5903-2021, https://doi.org/10.5194/bg-18-5903-2021, 2021
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This study investigates extreme ecosystem impacts evoked by temperature and soil moisture in the Mediterranean Basin for the time span 1999–2019 with a specific focus on seasonal variations. The analysis showed that ecosystem vulnerability is caused by several varying combinations of both drivers during the yearly cycle. The approach presented here helps to provide insights on the specific phenological stage of the year in which ecosystem vulnerability to a certain climatic condition occurs.
Mara Freilich, Alexandre Mignot, Glenn Flierl, and Raffaele Ferrari
Biogeosciences, 18, 5595–5607, https://doi.org/10.5194/bg-18-5595-2021, https://doi.org/10.5194/bg-18-5595-2021, 2021
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Observations reveal that in some regions phytoplankton biomass increases during the wintertime when growth conditions are sub-optimal, which has been attributed to a release from grazing during mixed layer deepening. Measurements of grazer populations to support this theory are lacking. We demonstrate that a release from grazing when the winter mixed layer is deepening holds only for certain grazing models, extending the use of phytoplankton observations to make inferences about grazer dynamics.
Shuangling Chen, Mark L. Wells, Rui Xin Huang, Huijie Xue, Jingyuan Xi, and Fei Chai
Biogeosciences, 18, 5539–5554, https://doi.org/10.5194/bg-18-5539-2021, https://doi.org/10.5194/bg-18-5539-2021, 2021
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Subduction transports surface waters to the oceanic interior, which can supply significant amounts of carbon and oxygen to the twilight zone. Using a novel BGC-Argo dataset covering the western North Pacific, we successfully identified the imprints of episodic shallow subduction patches. These subduction patches were observed mainly in spring and summer (70.6 %), and roughly half of them extended below ~ 450 m, injecting carbon- and oxygen-enriched waters into the ocean interior.
Pierre Damien, Julio Sheinbaum, Orens Pasqueron de Fommervault, Julien Jouanno, Lorena Linacre, and Olaf Duteil
Biogeosciences, 18, 4281–4303, https://doi.org/10.5194/bg-18-4281-2021, https://doi.org/10.5194/bg-18-4281-2021, 2021
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The Gulf of Mexico deep waters are relatively poor in phytoplankton biomass due to low levels of nutrients in the upper layers. Using modeling techniques, we find that the long-living anticyclonic Loop Current eddies that are shed episodically from the Yucatan Channel strongly shape the distribution of phytoplankton and, more importantly, stimulate their growth. This results from the contribution of multiple mechanisms of physical–biogeochemical interactions discussed in this study.
Sergey V. Stanichny, Elena A. Kubryakova, and Arseny A. Kubryakov
Biogeosciences, 18, 3173–3188, https://doi.org/10.5194/bg-18-3173-2021, https://doi.org/10.5194/bg-18-3173-2021, 2021
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In this paper, we show that the short-term impact of tropical cyclones can trigger the intense, long-term bloom of coccolithophores, which are major marine calcifiers playing an important role in the balance and fluxes of inorganic carbon in the ocean. In our paper, we describe the evolution of and physical reasons for such an unusual bloom observed in autumn 2005 in the Black Sea on the basis of satellite data.
Fengshan Liu, Ying Chen, Nini Bai, Dengpan Xiao, Huizi Bai, Fulu Tao, and Quansheng Ge
Biogeosciences, 18, 2275–2287, https://doi.org/10.5194/bg-18-2275-2021, https://doi.org/10.5194/bg-18-2275-2021, 2021
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The sowing date is key to the surface biophysical processes in the winter dormancy period. The climate effect of the sowing date shift is therefore very interesting and may contribute to the mitigation of climate change. An earlier sowing date always had a higher LAI but a higher temperature in the dormancy period and a lower temperature in the growth period. The main reason was the relative contributions of the surface albedo and energy partitioning processes.
Peter Aartsma, Johan Asplund, Arvid Odland, Stefanie Reinhardt, and Hans Renssen
Biogeosciences, 18, 1577–1599, https://doi.org/10.5194/bg-18-1577-2021, https://doi.org/10.5194/bg-18-1577-2021, 2021
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In the literature, it is generally assumed that alpine lichen heaths keep their direct environment cool due to their relatively high albedo. However, we reveal that the soil temperature and soil heat flux are higher below lichens than below shrubs during the growing season, despite a lower net radiation for lichens. We also show that the differences in microclimatic conditions between these two vegetation types are more pronounced during warm and sunny days than during cold and cloudy days.
Oleg Sizov, Ekaterina Ezhova, Petr Tsymbarovich, Andrey Soromotin, Nikolay Prihod'ko, Tuukka Petäjä, Sergej Zilitinkevich, Markku Kulmala, Jaana Bäck, and Kajar Köster
Biogeosciences, 18, 207–228, https://doi.org/10.5194/bg-18-207-2021, https://doi.org/10.5194/bg-18-207-2021, 2021
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In changing climate, tundra is expected to turn into shrubs and trees, diminishing reindeer pasture and increasing risks of tick-borne diseases. However, this transition may require a disturbance. Fires in Siberia are increasingly widespread. We studied wildfire dynamics and tundra–forest transition over 60 years in northwest Siberia near the Arctic Circle. Based on satellite data analysis, we found that transition occurs in 40 %–85 % of burned tundra compared to 5 %–15 % in non-disturbed areas.
Kaveh Purkiani, André Paul, Annemiek Vink, Maren Walter, Michael Schulz, and Matthias Haeckel
Biogeosciences, 17, 6527–6544, https://doi.org/10.5194/bg-17-6527-2020, https://doi.org/10.5194/bg-17-6527-2020, 2020
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There has been a steady increase in interest in mining of deep-sea minerals in the eastern Pacific Ocean recently. The ocean state in this region is known to be highly influenced by rotating bodies of water (eddies), some of which can travel long distances in the ocean and impact the deeper layers of the ocean. Better insight into the variability of eddy activity in this region is of great help to mitigate the impact of the benthic ecosystem from future potential deep-sea mining activity.
Jing Yan, Nathaniel A. Bogie, and Teamrat A. Ghezzehei
Biogeosciences, 17, 6377–6392, https://doi.org/10.5194/bg-17-6377-2020, https://doi.org/10.5194/bg-17-6377-2020, 2020
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An uneven supply of water and nutrients in soils often drives how plants behave. We observed that plants extract all their required nutrients from dry soil patches in sufficient quantity, provided adequate water is available elsewhere in the root zone. Roots in nutrient-rich dry patches facilitate the nutrient acquisition by extensive growth, water release, and modifying water retention in their immediate environment. The findings are valuable in managing nutrient losses in agricultural systems.
Onur Kerimoglu, Yoana G. Voynova, Fatemeh Chegini, Holger Brix, Ulrich Callies, Richard Hofmeister, Knut Klingbeil, Corinna Schrum, and Justus E. E. van Beusekom
Biogeosciences, 17, 5097–5127, https://doi.org/10.5194/bg-17-5097-2020, https://doi.org/10.5194/bg-17-5097-2020, 2020
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In this study, using extensive field observations and a numerical model, we analyzed the physical and biogeochemical structure of a coastal system following an extreme flood event. Our results suggest that a number of anomalous observations were driven by a co-occurrence of peculiar meteorological conditions and increased riverine discharges. Our results call for attention to the combined effects of hydrological and meteorological extremes that are anticipated to increase in frequency.
Amandine Erktan, Matthias C. Rillig, Andrea Carminati, Alexandre Jousset, and Stefan Scheu
Biogeosciences, 17, 4961–4980, https://doi.org/10.5194/bg-17-4961-2020, https://doi.org/10.5194/bg-17-4961-2020, 2020
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Soil aggregation is crucial for soil functioning. While the role of bacteria and fungi in soil aggregation is well established, how predators feeding on microbes modify soil aggregation has hardly been investigated. We showed for the first time that protists modify soil aggregation, presumably through changes in the production of bacterial mucilage, and that collembolans reduce soil aggregation, presumably by reducing the abundance of saprotrophic fungi.
Wei Hu, Kotaro Murata, Chunlan Fan, Shu Huang, Hiromi Matsusaki, Pingqing Fu, and Daizhou Zhang
Biogeosciences, 17, 4477–4487, https://doi.org/10.5194/bg-17-4477-2020, https://doi.org/10.5194/bg-17-4477-2020, 2020
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This paper reports the first estimate of the status of bacteria in long-distance-transported Asian dust, demonstrating that airborne dust, which can carry viable and nonviable bacteria on particle surfaces, is an efficient medium for constantly spreading bacteria at regional and even global scales. Such data are essential to better model and understand the roles and activities of bioaerosols in environmental evolution and climate change and the potential risks of bioaerosols to human health.
Inge Grünberg, Evan J. Wilcox, Simon Zwieback, Philip Marsh, and Julia Boike
Biogeosciences, 17, 4261–4279, https://doi.org/10.5194/bg-17-4261-2020, https://doi.org/10.5194/bg-17-4261-2020, 2020
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Based on topsoil temperature data for different vegetation types at a low Arctic tundra site, we found large small-scale variability. Winter temperatures were strongly influenced by vegetation through its effects on snow. Summer temperatures were similar below most vegetation types and not consistently related to late summer permafrost thaw depth. Given that vegetation type defines the relationship between winter and summer soil temperature and thaw depth, it controls permafrost vulnerability.
Long Jiang, Theo Gerkema, Jacco C. Kromkamp, Daphne van der Wal, Pedro Manuel Carrasco De La Cruz, and Karline Soetaert
Biogeosciences, 17, 4135–4152, https://doi.org/10.5194/bg-17-4135-2020, https://doi.org/10.5194/bg-17-4135-2020, 2020
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A seaward increasing chlorophyll-a gradient is observed during the spring bloom in a Dutch tidal bay. Biophysical model runs indicate the roles of bivalve grazing and tidal import in shaping the gradient. Five common spatial phytoplankton patterns are summarized in global estuarine–coastal ecosystems: seaward increasing, seaward decreasing, concave with a chlorophyll maximum, weak spatial gradients, and irregular patterns.
Emil De Borger, Justin Tiano, Ulrike Braeckman, Tom Ysebaert, and Karline Soetaert
Biogeosciences, 17, 1701–1715, https://doi.org/10.5194/bg-17-1701-2020, https://doi.org/10.5194/bg-17-1701-2020, 2020
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By applying a novel technique to quantify organism-induced sediment–water column fluid exchange (bioirrigation), we show that organisms in subtidal (permanently submerged) areas have similar bioirrigation rates as those that inhabit intertidal areas (not permanently submerged), but organisms in the latter irrigate deeper burrows in this study. Our results expand on traditional methods to quantify bioirrigation rates and broaden the pool of field measurements of bioirrigation rates.
Sheila N. Estrada-Allis, Julio Sheinbaum Pardo, Joao M. Azevedo Correia de Souza, Cecilia Elizabeth Enríquez Ortiz, Ismael Mariño Tapia, and Jorge A. Herrera-Silveira
Biogeosciences, 17, 1087–1111, https://doi.org/10.5194/bg-17-1087-2020, https://doi.org/10.5194/bg-17-1087-2020, 2020
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Continental shelves are the most productive areas in the ocean and can have an important impact on the nutrient cycle as well as the climate system. The one in Yucatán is the largest shelf in the Gulf of Mexico. However, its nutrient budget remains unidentifiable. Here we propose not only a general nutrient budget for the Yucatán Shelf but also the physical processes responsible for its pathway modulation through a physical–biogeochemical coupled model of the whole Gulf of Mexico.
Ashley Dubnick, Martin Sharp, Brad Danielson, Alireza Saidi-Mehrabad, and Joel Barker
Biogeosciences, 17, 963–977, https://doi.org/10.5194/bg-17-963-2020, https://doi.org/10.5194/bg-17-963-2020, 2020
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We found that glaciers with basal temperatures near the melting point mobilize more solutes, nutrients, and microbes from the underlying substrate and are more likely to promote in situ biogeochemical activity than glaciers with basal temperatures well below the melting point. The temperature at the base of glaciers is therefore an important control on the biogeochemistry of ice near glacier beds, and, ultimately, the potential solutes, nutrients, and microbes exported from glaciated watersheds.
Audrey Delpech, Anna Conchon, Olivier Titaud, and Patrick Lehodey
Biogeosciences, 17, 833–850, https://doi.org/10.5194/bg-17-833-2020, https://doi.org/10.5194/bg-17-833-2020, 2020
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Micronekton is an important, yet poorly known, component of the trophic chain, which partly contributes to the storage of CO2 in the deep ocean thanks to biomass vertical migrations. In this study, we characterize the ideal sampling regions to estimate the amount of biomass that undergoes theses migrations. We find that observations made in warm, nondynamic and productive waters reduce the error of the estimation by 20 %. This result should likely serve for future in situ network deployment.
Filippos Tagklis, Takamitsu Ito, and Annalisa Bracco
Biogeosciences, 17, 231–244, https://doi.org/10.5194/bg-17-231-2020, https://doi.org/10.5194/bg-17-231-2020, 2020
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Deoxygenation of the oceans is potentially one of the most severe ecosystem stressors resulting from global warming given the high sensitivity of dissolved oxygen to ocean temperatures. Climate models suggest that despite the thermodynamic tendency of the oceans to lose oxygen, certain regions experience significant changes in the biologically driven O2 consumption, resulting in a resistance against deoxygenation. Overturning circulation changes are responsible for such a behavior.
Mohammad Abdul Halim, Han Y. H. Chen, and Sean C. Thomas
Biogeosciences, 16, 4357–4375, https://doi.org/10.5194/bg-16-4357-2019, https://doi.org/10.5194/bg-16-4357-2019, 2019
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Using field data collected over 4 years across a range of stand ages, we investigated how seasonal surface albedo in boreal forest varies with stand age, stand structure, and composition. Our results indicate that successional change in species composition is a key driver of age–related patterns in albedo, with hardwood species associated with higher albedo. The patterns described have important implications for both climate modeling and
climate–smartboreal forest management.
Paul A. Moore, Maxwell C. Lukenbach, Dan K. Thompson, Nick Kettridge, Gustaf Granath, and James M. Waddington
Biogeosciences, 16, 3491–3506, https://doi.org/10.5194/bg-16-3491-2019, https://doi.org/10.5194/bg-16-3491-2019, 2019
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Using very-high-resolution digital elevation models (DEMs), we assessed the basic structure and microtopographic variability of hummock–hollow plots at boreal and hemi-boreal sites primarily in North America. Using a simple model of peatland biogeochemical function, our results suggest that both surface heating and moss productivity may not be adequately resolved in models which only consider idealized hummock–hollow units.
Renee K. Gruber, Ryan J. Lowe, and James L. Falter
Biogeosciences, 16, 1921–1935, https://doi.org/10.5194/bg-16-1921-2019, https://doi.org/10.5194/bg-16-1921-2019, 2019
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Researchers from the University of Western Australia's Oceans Institute are studying large tides (up to 12 m range) that occur in the Kimberley region of Australia. These tides flush coral reefs with water rich in nutrients, which supports the growth of reef organisms. In this paper, we show how tidal cycles and seasons control nutrient availability on reefs. This study is among the first published accounts of reefs and water quality data in the remote and pristine Kimberley region.
Sergey A. Marakushev and Ol'ga V. Belonogova
Biogeosciences, 16, 1817–1828, https://doi.org/10.5194/bg-16-1817-2019, https://doi.org/10.5194/bg-16-1817-2019, 2019
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Among the existing theories of the autotrophic origin of life, CO2 is usually considered to be the carbon source for nascent autotrophic metabolism. However, ancestral carbon used in metabolism may have been derived from CH4 if the outflow of magma fluid to the surface of the Earth consisted mainly of methane. The hydrothermal system model is considered in the form of a phase diagram, which demonstrates the area of redox and P and T conditions favorable to development of primary methanotroph.
Venugopal Thushara, Puthenveettil Narayana Menon Vinayachandran, Adrian J. Matthews, Benjamin G. M. Webber, and Bastien Y. Queste
Biogeosciences, 16, 1447–1468, https://doi.org/10.5194/bg-16-1447-2019, https://doi.org/10.5194/bg-16-1447-2019, 2019
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Chlorophyll distribution in the ocean remains to be explored in detail, despite its climatic significance. Here, we document the vertical structure of chlorophyll in the Bay of Bengal using observations and a model. The shape of chlorophyll profiles, characterized by prominent deep chlorophyll maxima, varies in dynamically different regions, controlled by the monsoonal forcings. The present study provides new insights into the vertical distribution of chlorophyll, rarely observed by satellites.
Soeren Thomsen, Johannes Karstensen, Rainer Kiko, Gerd Krahmann, Marcus Dengler, and Anja Engel
Biogeosciences, 16, 979–998, https://doi.org/10.5194/bg-16-979-2019, https://doi.org/10.5194/bg-16-979-2019, 2019
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Physical and biogeochemical observations from an autonomous underwater vehicle in combination with ship-based measurements are used to investigate remote and local drivers of the oxygen and nutrient variability off Mauritania. Beside the transport of oxygen and nutrients characteristics from remote areas towards Mauritania also local remineralization of organic material close to the seabed seems to be important for the distribution of oxygen and nutrients.
Pascale Bouruet-Aubertot, Yannis Cuypers, Andrea Doglioli, Mathieu Caffin, Christophe Yohia, Alain de Verneil, Anne Petrenko, Dominique Lefèvre, Hervé Le Goff, Gilles Rougier, Marc Picheral, and Thierry Moutin
Biogeosciences, 15, 7485–7504, https://doi.org/10.5194/bg-15-7485-2018, https://doi.org/10.5194/bg-15-7485-2018, 2018
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The OUTPACE cruise took place between New Caledonia and French Polynesia. The main purpose was to understand how micro-organisms can survive in a very poor environment. One main source of nutrients is at depth, below the euphotic layer where micro-organisms live. The purpose of the turbulence measurements was to determine to which extent turbulence may
upliftnutrients into the euphotic layer. The origin of the turbulence that was found contrasted along the transect was also determined.
Daniel D. Richter, Sharon A. Billings, Peter M. Groffman, Eugene F. Kelly, Kathleen A. Lohse, William H. McDowell, Timothy S. White, Suzanne Anderson, Dennis D. Baldocchi, Steve Banwart, Susan Brantley, Jean J. Braun, Zachary S. Brecheisen, Charles W. Cook, Hilairy E. Hartnett, Sarah E. Hobbie, Jerome Gaillardet, Esteban Jobbagy, Hermann F. Jungkunst, Clare E. Kazanski, Jagdish Krishnaswamy, Daniel Markewitz, Katherine O'Neill, Clifford S. Riebe, Paul Schroeder, Christina Siebe, Whendee L. Silver, Aaron Thompson, Anne Verhoef, and Ganlin Zhang
Biogeosciences, 15, 4815–4832, https://doi.org/10.5194/bg-15-4815-2018, https://doi.org/10.5194/bg-15-4815-2018, 2018
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As knowledge in biology and geology explodes, science becomes increasingly specialized. Given the overlap of the environmental sciences, however, the explosion in knowledge inevitably creates opportunities for interconnecting the biogeosciences. Here, 30 scientists emphasize the opportunities for biogeoscience collaborations across the world’s remarkable long-term environmental research networks that can advance science and engage larger scientific and public audiences.
Ivy Frenger, Matthias Münnich, and Nicolas Gruber
Biogeosciences, 15, 4781–4798, https://doi.org/10.5194/bg-15-4781-2018, https://doi.org/10.5194/bg-15-4781-2018, 2018
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Although mesoscale ocean eddies are ubiquitous in the Southern Ocean (SO), their regional and seasonal association with phytoplankton has not been quantified. We identify over 100 000 eddies and determine the associated phytoplankton biomass anomalies using satellite-based chlorophyll (Chl) as a proxy. The emerging Chl anomalies can be explained largely by lateral advection of Chl by eddies. This impact of eddies on phytoplankton may implicate downstream effects on SO biogeochemical properties.
Yi Sun, Xiong Z. He, Fujiang Hou, Zhaofeng Wang, and Shenghua Chang
Biogeosciences, 15, 4233–4243, https://doi.org/10.5194/bg-15-4233-2018, https://doi.org/10.5194/bg-15-4233-2018, 2018
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To investigate how grazing alters litter composition, quality and decomposition, we collected litter from grazing (GP) and grazing exclusion paddocks (GEP) and incubated them in situ and across sites. Grazing increased litter N and grazing exclusion increased litter mass of palatable species and promoted SOC. Litter decomposed faster in GP and N was opposite. Site environment had more impact on litter decomposition. Results may be helpful in developing strategies to restore degraded grasslands.
Louise Rousselet, Alain de Verneil, Andrea M. Doglioli, Anne A. Petrenko, Solange Duhamel, Christophe Maes, and Bruno Blanke
Biogeosciences, 15, 2411–2431, https://doi.org/10.5194/bg-15-2411-2018, https://doi.org/10.5194/bg-15-2411-2018, 2018
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The patterns of the large- and fine-scale surface circulation on biogeochemical and biological distributions are examined in the western tropical South Pacific (WTSP) in the context of the OUTPACE oceanographic cruise. The combined use of in situ and satellite data allows for the identification of water mass transport pathways and fine-scale structures, such as fronts, that drive surface distribution of tracers and microbial community structures.
Alain de Verneil, Louise Rousselet, Andrea M. Doglioli, Anne A. Petrenko, Christophe Maes, Pascale Bouruet-Aubertot, and Thierry Moutin
Biogeosciences, 15, 2125–2147, https://doi.org/10.5194/bg-15-2125-2018, https://doi.org/10.5194/bg-15-2125-2018, 2018
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Oceanographic campaigns to measure biogeochemical processes popularly deploy drifters with onboard incubations to stay in a single body of water. Here, we aggregate physical data taken during such a cruise, OUTPACE, to independently test in a new approach whether the drifter really stayed in what can be considered a single biological or chemical environment. This study concludes that future campaigns would benefit from similar data collection and analysis to validate their sampling strategy.
Cited articles
Adnan, A. A., Diels, J., Jibrin, J. M., Kamara, A. Y., Shaibu, A. S.,
Craufurd, P., and Menkir, A.: CERES-Maize model for simulating
genotype-by-environment interaction of maize and its stability in the dry
and wet savannas of Nigeria, F. Crop. Res., 253, 107826,
https://doi.org/10.1016/j.fcr.2020.107826, 2020.
Alderman, P. D. and Stanfill, B.: Quantifying model-structure- and
parameter-driven uncertainties in spring wheat phenology prediction with
Bayesian analysis, Eur. J. Agron., 88, 1–9, https://doi.org/10.1016/j.eja.2016.09.016,
2017.
Asseng, S., Cao, W., Zhang, W., and Ludwig, F.: Crop Physiology, Modelling
and Climate Change, Crop Physiol., Elsevier Academic Press, 511–543, ISBN 978-0-12-374431-9, 2009.
Beirlant, J., Dudewicz, E., Györfi, L., and Dénes, I.: Nonparametric
entropy estimation. An overview, Int. J. Math. Stat. Sci., 6, 17–39,
1997.
Borchers, H. W.: pracma: Practical Numerical Math Functions, version 2.2.9, CRAN [code], https://cran.r-project.org/package=pracma, 2020.
Brooks, S. P. and Gelman, A.: General Methods for Monitoring Convergence of
Iterative Simulations, J. Comput. Graph. Stat., 7, 434–455,
https://doi.org/10.1080/10618600.1998.10474787, 1998.
Cao, Z. J., Wang, Y., and Li, D. Q.: Site-specific characterization of soil
properties using multiple measurements from different test procedures at
different locations – A Bayesian sequential updating approach, Eng. Geol.,
211, 150–161, https://doi.org/10.1016/j.enggeo.2016.06.021, 2016.
Ceglar, A., Črepinšek, Z., Kajfež-Bogataj, L., and Pogačar,
T.: The simulation of phenological development in dynamic crop model: The
Bayesian comparison of different methods, Ag. Forest Meteorol., 151,
101–115, https://doi.org/10.1016/j.agrformet.2010.09.007, 2011.
Coelho, A. P., Dalri, A. B., Fischer Filho, J. A., de Faria, R. T., Silva,
L. S., and Gomes, R. P.: Calibration and evaluation of the DSSAT/Canegro
model for sugarcane cultivars under irrigation managements, Rev. Bras. Eng.
Agr. Ambient., 24, 52–58,
https://doi.org/10.1590/1807-1929/agriambi.v24n1p52-58, 2020.
Craufurd, P. Q., Vadez, V., Jagadish, S. V. K., Prasad, P. V. V., and
Zaman-Allah, M.: Crop science experiments designed to inform crop modeling,
Agr. Forest Meteorol., 170, 8–18, https://doi.org/10.1016/j.agrformet.2011.09.003,
2013.
Eshonkulov, R., Poyda, A., Ingwersen, J., Wizemann, H.-D., Weber, T. K. D., Kremer, P., Högy, P., Pulatov, A., and Streck, T.: Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany, Biogeosciences, 16, 521–540, https://doi.org/10.5194/bg-16-521-2019, 2019.
Gao, Y., Wallach, D., Liu, B., Dingkuhn, M., Boote, K. J., Singh, U.,
Asseng, S., Kahveci, T., He, J., Zhang, R., Confalonieri, R., and Hoogenboom,
G.: Comparison of three calibration methods for modeling rice phenology,
Agr. Forest Meteorol., 280, 107785,
https://doi.org/10.1016/j.agrformet.2019.107785, 2020.
Gelman, A. and Rubin, D.: Inference from iterative simulation using multiple
sequences, Stat. Sci., 7, 457–511, 1992.
Gelman, A., Roberts, G. O., and Gilks, R. W.: Efficient Metropolis jumping
rules, in: Bayesian Statistics, Vol. 5, edited by: Bernardo, J. M.,
Berger, J. O., Dawid, A. P., and Smith, A. F. M., Oxford University
Press, 599–608, 1996.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and
Rubin, D. B.: Bayesian Data Analysis (Tests in Statistical Science), 3rd
Edn., edited by: Dominici, F., Faraway, J. J., Tanner, M., and Zidek, J., Chapman
& Hal l/CRC, 675 pp., https://doi.org/10.1201/b16018, 2013.
Hansen, S., Jensen, H. E., Nielsen, N. E., and Svendsen, H.: DAISY-Soil Plant
Atmosphere System Model, Copenhagen, Denmark, ISBN 87-503-8790-1, 1990.
He, D., Wang, E., Wang, J., and Robertson, M. J.: Data requirement for
effective calibration of process-based crop models, Agr. Forest Meteorol.,
234/235, 136–148, https://doi.org/10.1016/j.agrformet.2016.12.015, 2017a.
He, D., Wang, E., Wang, J., Lilley, J., Luo, Z., Pan, X., Pan, Z., and Yang,
N.: Uncertainty in canola phenology modelling induced by cultivar
parameterization and its impact on simulated yield, Agr. Forest Meteorol.,
232, 163–175, https://doi.org/10.1016/j.agrformet.2016.08.013, 2017b.
Heinlein, F., Biernath, C., Klein, C., Thieme, C., and Priesack, E.:
Evaluation of Simulated Transpiration from Maize Plants on Lysimeters,
Vadose Zone J., 16, vzj2016.05.0042, https://doi.org/10.2136/vzj2016.05.0042, 2017.
Huang, X., Huang, G., Yu, C., Ni, S., and Yu, L.: A multiple crop model
ensemble for improving broad-scale yield prediction using Bayesian model
averaging, F. Crop. Res., 211, 114–124,
https://doi.org/10.1016/j.fcr.2017.06.011, 2017.
Hue, C., Tremblay, M., and Wallach, D.: A bayesian approach to crop Model
calibration under unknown error covariance, J. Agric. Biol. Environ. Stat.,
13, 355–365, https://doi.org/10.1198/108571108X335855, 2008.
Iizumi, T., Yokozawa, M., and Nishimori, M.: Parameter estimation and
uncertainty analysis of a large-scale crop model for paddy rice: Application
of a Bayesian approach, Agr. Forest Meteorol., 149, 333–348,
https://doi.org/10.1016/j.agrformet.2008.08.015, 2009.
Ingwersen, J., Högy, P., Wizemann, H. D., Warrach-Sagi, K., and Streck,
T.: Coupling the land surface model Noah-MP with the generic crop growth
model Gecros: Model description, calibration and validation, Agr. Forest Meteorol., 262, 322–339,
https://doi.org/10.1016/j.agrformet.2018.06.023, 2018.
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D.,
Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., and Ritchie, J. T.:
The DSSAT cropping system model, Eur. J. Agron., 18, 235–265, https://doi.org/10.1016/S1161-0301(02)00107-7, 2003.
Klein, C., Biernath, C., Heinlein, F., Thieme, C., Gilgen, A. K., Zeeman, M.,
and Priesack, E.: Vegetation Growth Models Improve Surface Layer Flux
Simulations of a Temperate Grassland, Vadose Zone J., 16, 1–19,
https://doi.org/10.2136/vzj2017.03.0052, 2017.
Klein, C., Heinlein, F., Duan, X., Gayler, S., and Priesack, P.: Expert-N version 5.12 [code], https://expert-n.uni-hohenheim.de/fileadmin/einrichtungen/expert-n/Precompiled/expertn5.12.zip, 2019.
Lamboni, M., Makowski, D., Lehuger, S., Gabrielle, B., and Monod, H.:
Multivariate global sensitivity analysis for dynamic crop models, F. Crop.
Res., 113, 312–320, https://doi.org/10.1016/j.fcr.2009.06.007, 2009.
Lamsal, A., Welch, S. M., White, J. W., Thorp, K. R., and Bello, N. M.:
Estimating parametric phenotypes that determine anthesis date in Zea mays:
Challenges in combining ecophysiological models with genetics, PLoS One,
13, 1–23, https://doi.org/10.1371/journal.pone.0195841, 2018.
Locher, R.: IDPmisc: Utilities of Institute of Data Analyses and Process
Design, CRAN [code],
https://cran.r-project.org/package=IDPmisc, 2020.
Makowski, D.: A simple Bayesian method for adjusting ensemble of crop model
outputs to yield observations, Eur. J. Agron., 88, 76–83,
https://doi.org/10.1016/j.eja.2015.12.012, 2017.
Makowski, D., Jeuffroy, M.-H., and Guérif, M.: Bayesian methods for
updating crop-model predictions, applications for predicting biomass and
grain protein content, Frontis, in: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: Proceedings of the Frontis workshop on Bayesian Statistics and quality modelling in the agro-food production chain, held in Wageningen, The Netherlands, 1–14 May 2003, edited by: van Boekel, M. A. J. S., Stein, A., and van Bruggen, A. H. C., Kluwer Academic Publishers, 57–68, ISBN 9781402019166,
https://www.agralin.nl/ojs/index.php/frontis/article/viewArticle/858, 2004.
Makowski, D., Hillier, J., Wallach, D., Andrieu, B., and Jeuffroy, M. H.:
Parameter Estimation for Crop Models, in: Working with Dynamic Crop Models, edited by: Wallach, D., Makowski, D., and Jones, J.,
Elsevier, ISBN 9780080461939, 2006.
Meier, U.: Growth Stages of Mono- and Dicotyledonous Plants, Fed. Biol. Res.
Cent. for Agric. For., Oxford, UK, Julius Kühn-Institut, Quedlinburg, Germany, https://doi.org/10.5073/20180906-074619, 1997.
Metropolis, N., Rosenbluth, A., Rosenbluth, M., and Teller, A.:
Equation of State Calculations by Fast Computing Machines, J. Chem. Phys.,
21, 1087–1092, https://doi.org/10.1063/1.1699114, 1953.
Microsoft and Westen, S.: doParallel: Foreach Parallel Adaptor for the
“parallel” Package, version 1.0.15, CRAN [code],
https://cran.r-project.org/package=doParallel, 2019.
Microsoft and Weston, S.: foreach: R package version 1.5.0: Provides Foreach Looping Construct, CRAN [code],
https://cran.r-project.org/package=foreach, 2020.
Morris, M. D.: Factorial Sampling Plans for Preliminary Computational
Experiments, Technometrics, 33, 161–174, 1991.
Mualem, Y.: A New Model for Predicting the Hydraulic Conductivity of
Unsaturated Porous Media, Water Resour. Res., 12, 513–522, 1976.
Oravecz, Z., Huentelman, M., and Vandekerchove, J.: 2 Sequential Bayesian
updating for Big Data, in: Big Data in Cognitive Science (Frontiers of
Cognitive Psychology), Vol. 2, edited by: Jones, M. N., 13–33,
Routledge/Taylor & Francis Group, Psychology Press, ISBN 9781315413570, 2017.
Plummer, M., Best, N., Cowles, K., and Vines, K.: CODA: Convergence Diagnosis
and Output Analysis for MCMC, R News, 6, 7–11, 2006.
Porter, J. R., Xie, L., Challinor, A. J., Cochrane, K., Howden, S. M.,
Iqbal, M. M., Lobell, D. B., Travasso, M. I., Aggarwal, P., Hakala, K., and
Jordan, J.: Food Security and Food Production Systems, in: Climate Change
2014 Impacts, Adaptation, and Vulnerability, edited by: Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., Mastrandrea, M. D., Bilir, T. E., Chatterjee, M., Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N., MacCracken, S., Mastrandrea, P. R., and White, L. L., 485–534,
Cambridge University Press, Cambridge, 485–533, https://doi.org/10.1017/CBO9781107415379, 2015.
Priesack, E.: Expert-N Dokumentation der Modellbibliothek FAM – Bericht
60, GSF-Forschungszentrum fuer Umwelt und Gesundheit, Munich, Germany, 2006.
R Core Team: R: A language and environment for statistical computing, version 3.6.3, CRAN [code],
https://www.r-project.org/, 2020.
Rötter, R. P., Carter, T. R., Olesen, J. E., and Porter, J. R.:
Crop–climate models need an overhaul, Nat. Clim. Chang., 1, 175–177,
https://doi.org/10.1038/nclimate1152, 2011.
Schöniger, A., Wöhling, T., and Nowak, W.: A statistical concept to
assess the uncertainty in Bayesian model weights and its impact on model
ranking, Water Resour. Res., 51, 7524–7546, https://doi.org/10.1002/2015WR016918,
2015.
Sexton, J., Everingham, Y., and Inman-Bamber, G.: A theoretical and real
world evaluation of two Bayesian techniques for the calibration of variety
parameters in a sugarcane crop model, Environ. Model. Softw., 83, 126–142,
https://doi.org/10.1016/j.envsoft.2016.05.014, 2016.
Šimůnek, Šejna, J. M. and van Genuchten, M. T.: The HYDRUS-1D
software package for simulating the one-dimensional movement of water, heat,
and multiple solutes in variably-saturated media. Version 1.0., Agric. Res.
Serv. US Dep. Agric., 186, University of California-Riverside, 240 pp., 1998.
Tautenhahn, S., Heilmeier, H., Jung, M., Kahl, A., Kattge, J., Moffat, A.,
and Wirth, C.: Beyond distance-invariant survival in inverse recruitment
modeling: A case study in Siberian Pinus sylvestris forests, Ecol. Modell.,
233, 90–103, https://doi.org/10.1016/j.ecolmodel.2012.03.009, 2012.
Thijssen, B. and Wessels, L. F. A.: Approximating multivariate posterior
distribution functions from Monte Carlo samples for sequential Bayesian
inference, edited by A. D. Hutson, PLoS One, 15, e0230101,
https://doi.org/10.1371/journal.pone.0230101, 2020.
Thompson, C. J., Kodikara, S., Burgman, M. A., Demirhan, H., and Stone, L.:
Bayesian updating to estimate extinction from sequential observation data,
Biol. Conserv., 229, 26–29, https://doi.org/10.1016/j.biocon.2018.11.003,
2019.
van Genuchten, M. T.: A Closed-form Equation for Predicting the Hydraulic
Conductivity of Unsaturated Soils, Soil Sci. Soc. Am. J., 44, 892–898,
https://doi.org/10.2136/sssaj1980.03615995004400050002x, 1980.
Wallach, D. and Thorburn, P. J.: Estimating uncertainty in crop model
predictions: Current situation and future prospects, Eur. J. Agron.,
88, A1–A7, https://doi.org/10.1016/j.eja.2017.06.001, 2017.
Wallach, D., Keussayan, N., Brun, F., Lacroix, B., and Bergez, J.-E.:
Assessing the Uncertainty when Using a Model to Compare Irrigation
Strategies, Agron. J., 104, 1274–1283, https://doi.org/10.2134/agronj2012.0038,
2012.
Wallach, D., Mearns, L. O., Ruane, A. C., Rötter, R. P., and Asseng, S.:
Lessons from climate modeling on the design and use of ensembles for crop
modeling, Climatic Change, 139, 551–564, https://doi.org/10.1007/s10584-016-1803-1,
2016.
Wallach, D., Nissanka, S. P., Karunaratne, A. S., Weerakoon, W. M. W.,
Thorburn, P. J., Boote, K. J., and Jones, J. W.: Accounting for both
parameter and model structure uncertainty in crop model predictions of
phenology: A case study on rice, Eur. J. Agron., 88, 53–62,
https://doi.org/10.1016/j.eja.2016.05.013, 2017.
Wallach, D., Palosuo, T., Thorburn, P., Gourdain, E., Asseng, S., Basso, B.,
Buis, S., Crout, N., Dibari, C., Dumont, B., Ferrise, R., Gaiser, T.,
Garcia, C., Gayler, S., Ghahramani, A., Hochman, Z., Hoek, S., Horan, H.,
Hoogenboom, G., Huang, M., Jabloun, M., Jing, Q., Justes, E., Kersebaum, K.
C., Klosterhalfen, A., Launay, M., Luo, Q., Maestrini, B., Mielenz, H.,
Moriondo, M., Nariman Zadeh, H., Olesen, J. E., Poyda, A., Priesack, E.,
Pullens, J. W. M., Qian, B., Schütze, N., Shelia, V., Souissi, A.,
Specka, X., Srivastava, A. K., Stella, T., Streck, T., Trombi, G., Wallor,
E., Wang, J., Weber, T., Weihermüller, L., de Wit, A., Wöhling, T.,
Xiao, L., Zhao, C., Zhu, Y., and Seidel, S.: How well do crop modeling groups
predict wheat phenology, given calibration data from the target population?, Eur. J. Agron., 124, 126195,
https://doi.org/10.1016/j.eja.2020.126195, 2021.
Wang, E.: Development of a Generic Process-Oriented Model for Simulation of
Crop Growth, Technischen Universität München, ISBN 978-3896752338, 1997.
Wang, E., Brown, H. E., Rebetzke, G. J., Zhao, Z., Zheng, B. and Chapman, S.
C.: Improving process-based crop models to better capture genotype × environment × management interactions, J. Exp. Bot., 70,
2389–2401, https://doi.org/10.1093/jxb/erz092, 2019.
Weber, T. K. D., Ingwersen, J., Högy, P., Poyda, A., Wizemann, H.-D.,
Demyan, M. S., Bohm, K., Eshonkulov, R., Gayler, S., Kremer, P., Laub, M.,
Nkwain, Y. F., Troost, C., Witte, I., Reichenau, T., Berger, T., Cadisch,
G., Müller, T., Fangmeier, A., Wulfmeyer, V., and Streck, T.: Multi-site,
multi-crop measurements in the soil–vegetation–atmosphere continuum: a
comprehensive dataset from two climatically contrasting regions in
southwestern Germany for the period 2009–2018, Earth Syst. Sci. Data,
14, 1153–1181, https://doi.org/10.5194/essd-14-1153-2022, 2022a.
Weber, T. K. D., Ingwersen, J., Högy, P., Poyda, A., Wizemann, H. D., Demyan, M. S., Bohm, K., Eshonkulov, R., Gayler, S., Kremer, P., Nkwain, Y. F., Troost, C., Witte, I., Cadisch, G., Müller, T., Fangmeier, A., Wullmeyer, V., and Streck, T.: Regional climate change observational data FOR 1695, BonaRes [data set], https://doi.org/10.20387/bonares-a0qc-46jc, 2022b.
Wizemann, H.-D., Ingwersen, J., Högy, P., Warrach-Sagi, K., Streck, T.,
and Wulfmeyer, V.: Three year observations of water vapor and energy fluxes
over agricultural crops in two regional climates of Southwest Germany,
Meteorol. Z., 24, 39–59, https://doi.org/10.1127/metz/2014/0618, 2015.
Wöhling, T., Geiges, A., Nowak, W., Gayler, S., Högy, P., and
Wizemann, H. D.: Towards Optimizing Experiments for Maximum-confidence Model
Selection between Different Soil-plant Models, Procedia Environ. Sci., 19,
514–523, https://doi.org/10.1016/j.proenv.2013.06.058, 2013.
Wöhling, T., Schöniger, A., Gayler, S., and Nowak, W.: Bayesian model
averaging to explore the worth of data for soil-plant model selection and
prediction, Water Resour. Res., 51, 2825–2846, https://doi.org/10.1002/2014WR016292,
2015.
Zhao, M., Peng, C., Xiang, W., Deng, X., Tian, D., Zhou, X., Yu, G., He, H.,
and Zhao, Z.: Plant phenological modeling and its application in global
climate change research: overview and future challenges, Environ. Rev.,
21, 1–14, https://doi.org/10.1139/er-2012-0036, 2013.
Short summary
We analysed the evolution of model parameter uncertainty and prediction error as we updated parameters of a maize phenology model based on yearly observations, by sequentially applying Bayesian calibration. Although parameter uncertainty was reduced, prediction quality deteriorated when calibration and prediction data were from different maize ripening groups or temperature conditions. The study highlights that Bayesian methods should account for model limitations and inherent data structures.
We analysed the evolution of model parameter uncertainty and prediction error as we updated...
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