Jonathan Ojeda Email and Phone Number

𝗢𝘃𝗲𝗿𝗮𝗹𝗹 𝘁𝗮𝗿𝗴𝗲𝘁𝘀• Build a global science team and a global MRV platform from scratch using cutting-edge tech and strong scientific knowledge.• Lead and own the full science Terradot R&D stack to support a soil carbon (organic and inorganic) MRV platform.𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘁𝗮𝗿𝗴𝗲𝘁𝘀• Hire and lead a passionate team of soil scientists, geologists, agronomist, reactive transport and crop modelers, and engineers.• Develop a coupled multi-scale model using… Show more 𝗢𝘃𝗲𝗿𝗮𝗹𝗹 𝘁𝗮𝗿𝗴𝗲𝘁𝘀• Build a global science team and a global MRV platform from scratch using cutting-edge tech and strong scientific knowledge.• Lead and own the full science Terradot R&D stack to support a soil carbon (organic and inorganic) MRV platform.𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘁𝗮𝗿𝗴𝗲𝘁𝘀• Hire and lead a passionate team of soil scientists, geologists, agronomist, reactive transport and crop modelers, and engineers.• Develop a coupled multi-scale model using MIN3P and APSIM to estimate inorganic C sequestration through Enhanced Rock Weathering (ERW) practices.• Set the roadmap and direction for improving the measurement and verification of net CO2 emissions reduction in agricultural systems at field level.• Collaborate with the engineering team to set up and guide the development of Python infrastructure to integrate model runs into a core product.• Direct and oversee the modeling e fforts (at plot and field scale), leveraging understanding of fundamental agronomy/soil science/ERW along with deep expertise working with MIN3P-APSIM to improve the current state-of-the-art.• Conduct simulations and calibration of APSIM for soil carbon measurement, utilizing data from field trials and farms to optimize the model and enhance accuracy.• Scale-up calibrated coupled models to cover additional fields in ERW projects.• Assess uncertainties, devise strategies to minimize them, and ensure compliance with soil organic (VERRA 0042 and 0053) and inorganic carbon (PURO, Cascade, Isometric) methodologies.• Communicate scientific work to various audiences, including government leaders and local communities, and collaborate across disciplines.• Serve as the primary liaison with the Terradot Science Advisory Board from Stanford University (Profs David Lobell, Scott Fendorf, Peter Nico and Alison Hoyt) and The University of British Columbia (Dr Ulrich Mayer), ensuring that the scientific endeavors align with industry best practices and cutting-edge research. Show less

• Research collaborations with the Centre for Sustainable Agricultural Systems in crop modelling and remote sensing projects.• PhD supervision.

• Supervise PhD students. - Ranju Chapagain (PhD granted) - Francesco Tacconi (PhD granted)• Collaborate in research projects with the Tasmanian Institute of Agriculture, UTAS.

• Lead the Niche project focused on the development of a predictive analytic framework to improve on-farm field trials, refine seed product profiles and optimize seed varietal placement to further climate adaptation for small-scale producers in Sub-Sahara Africa. Funded by B&M Gates Foundation this project includes >15 team members (including 3 postdocs) from 4 organisations (academia and industry) located in 4 continents.• Develop and deploy new solutions for FluroSense, a digital… Show more • Lead the Niche project focused on the development of a predictive analytic framework to improve on-farm field trials, refine seed product profiles and optimize seed varietal placement to further climate adaptation for small-scale producers in Sub-Sahara Africa. Funded by B&M Gates Foundation this project includes >15 team members (including 3 postdocs) from 4 organisations (academia and industry) located in 4 continents.• Develop and deploy new solutions for FluroSense, a digital agronomy and conservation monitoring platform which integrates large scale automated analysis with farm management systems (e.g. FieldView).• Work with the Agricultural Production Systems sIMulator (APSIM) science and remote sensing science teams to develop and implement algorithms that help improve soil-crop management practices internationally.• Work with customers' data to evaluate the APSIM model accuracy in simulations of crop productivity in key agricultural systems worldwide.• Work closely and guide the engineering and product to develop model-scaling approaches that would allow the decision support tools based on APSIM to be used across multiple crop types and in multiple geographies as well as across scales (from field to regional). • Develop algorithms to quantify the effects of crop management, genetics and climate variability on soil-crop processes.• Couple large multi-scale remotely sensed, geospatial datasets and advanced biophysical/mechanistic models at different spatial scales to evaluate drivers of yield variability.• Implement algorithms that predict crop growth, yield, and soil health/environmental impacts in agricultural systems; bring together crop and soil models for yield, soil organic carbon, and ecosystem outcomes assessment.• Develop automated workflows and techniques for quantification of crop model uncertainties.• Research the effects of integrating cover crops into farming systems on nutrient recovery and recycling soil carbon. Show less

• Encourage networking between Argentinian researchers residing abroad.• Encourage links and stimulate exchange between Argentine and Australian researchers.• Disseminate Argentinian scientific and technological activities abroad, especially in Australia.• Improve the quality and availability of information about highly trained Argentinian researchers and professionals residing abroad and particularly in Australia.• Involve the Argentinian industry, as well as Non-Governmental… Show more • Encourage networking between Argentinian researchers residing abroad.• Encourage links and stimulate exchange between Argentine and Australian researchers.• Disseminate Argentinian scientific and technological activities abroad, especially in Australia.• Improve the quality and availability of information about highly trained Argentinian researchers and professionals residing abroad and particularly in Australia.• Involve the Argentinian industry, as well as Non-Governmental Organizations in the actions of the network. Show less

• Teach undergraduate and postgraduate subjects into the UNER plant/crop science program and supervise at postgraduate level.

• Teach undergraduate and postgraduate subjects into the UNER plant/crop science program and supervise at postgraduate level.

• Led the sorghum biomass modelling in the UQ component of a joint project with Purdue University ( TERRA) in collaboration with Prof Scott Chapman, Prof Hammer, and P. deVoil (The University of Queensland, UQ), Dr Archontoulis (Iowa State University) and Prof Tuinstra (Purdue University). We developed a new version of The Parallel System for Integrating Impact Models and Sectors (pSIMS) to predict biomass sorghum across US environments using gridded climate, soil and crop management data.•… Show more • Led the sorghum biomass modelling in the UQ component of a joint project with Purdue University ( TERRA) in collaboration with Prof Scott Chapman, Prof Hammer, and P. deVoil (The University of Queensland, UQ), Dr Archontoulis (Iowa State University) and Prof Tuinstra (Purdue University). We developed a new version of The Parallel System for Integrating Impact Models and Sectors (pSIMS) to predict biomass sorghum across US environments using gridded climate, soil and crop management data.• Assist in supervision and engagement with PhD and Master’s students at Purdue and UQ, and utilise APSIM to undertake simulations for the phenotyping of biomass sorghum using experiments from the project. Parameterise APSIM and use weather, soil and other datasets to undertake scenario analysis of adaptation of biomass sorghum to diverse environments, primarily in the USA.• Collaborate with Pacific Seeds Australia (ADVANTA) in an experimental trial combining farm, drone data and satellite imagery relating photosynthesis and radiation use efficiency with forage sorghum biomass.• Teach undergraduate subjects into the UQ plant/crop science program.• Supervise students at honours and postgraduate level. Show less

Basic research and methodological analyses• Conduct research on uncertainty analysis in climate change impact studies for irrigated maize systems and impact assessment of livestock farm performances regionally under different climate change scenarios.• Develop a decision support tool to download gridded climate data in an APSIM format.• Model phenological variation with sowing date and cultivar for legumes against the climatic patterns of frost and heat. • Couple existing… Show more Basic research and methodological analyses• Conduct research on uncertainty analysis in climate change impact studies for irrigated maize systems and impact assessment of livestock farm performances regionally under different climate change scenarios.• Develop a decision support tool to download gridded climate data in an APSIM format.• Model phenological variation with sowing date and cultivar for legumes against the climatic patterns of frost and heat. • Couple existing multiple-scaling and remote-sensing techniques with advanced biophysical models to evaluate drivers of crop yield variability.• Quantify crop model uncertainties using sensitivity analysis tools such as Sobol, Morris.• Examine alternative existing model-scaling techniques and assess drivers of yield variability at the regional scale (grid-based simulations).• Develop a new potato module in APSIM Next Generation. Evaluating how accurately APSIM Next Generation simulates potato tuber yields across several agricultural systems worldwide.Applied research and industry engagement• Develop an on-line tool to analyse future scenarios to decision support for dual-purpose crops (canola and wheat) in Tasmania (Australia) in collaboration with GRDC and CSIRO.• Collect and organize several potato agricultural datasets (climate, soil and crop management) from industry partners (Simplot and McCain) for crop modelling purposes.• Conduct workshops with Australian farming groups under a CRC Soil project focused on model development to evaluate the effect of soil constraints on crop yield productivity.• Lead workshops with livestock industry decision-makers who will perform foresight exercises to explore alternative futures under climate change scenarios.Coaching, supervision and leadership• Supervise PhD students in collaboration with external co-supervisors (CSIRO).• Lead discussion and meeting for a group of researchers interested in data management across UTAS (as Data Network Co-director). Show less

I was working in collaboration with Dr. Bahareh Kamali, Dr. Heidi Webber at the Leibniz Centre for Agricultural Landscape Research. I also interacted with Dr. Ignacio Lorite Torres (IFAPA, Spain) who is also a key collaborator of this research project. We quantified the share of different drivers of yield variability stemming from climatic factors (drought, heat stress, climate change) and non-climatic factors (irrigation strategy and cultivars) for irrigated systems and measured the associated… Show more I was working in collaboration with Dr. Bahareh Kamali, Dr. Heidi Webber at the Leibniz Centre for Agricultural Landscape Research. I also interacted with Dr. Ignacio Lorite Torres (IFAPA, Spain) who is also a key collaborator of this research project. We quantified the share of different drivers of yield variability stemming from climatic factors (drought, heat stress, climate change) and non-climatic factors (irrigation strategy and cultivars) for irrigated systems and measured the associated uncertainty of each driver in climate change impact studies. We used a combination of process-based crop models with machine-learning algorithms to explore the underlying reasons for yield variability over 18 years of irrigated maize in Andalusia, Spain. The drivers of variability were identified at different irrigation strategies, cultivated with different cultivars. The underlying factors of yield variability were measured and the possible pathways to reduce yield variabilities were investigated. More specifically, we addressed the below key questions:• Which climatic and non-climatic factors are dominant in explaining irrigated maize yield variability for impact assessment studies? Which factor contributes the greatest share to yield variability?• How do the drivers of maize yield variability differ under different genotypes, irrigation strategies, sowing dates, and crop model structures?• How do the roles of different factors change under different climatic extremes?• What is the level of uncertainty stemming from different drivers for climate change impact assessment studies?Achievements: Three papers published in Sci Tot Env, Eur J Agr and Field Crops Res and one under review in Scientific Reports.Host Researchers: Dr Bahareh Kamali, Dr Heidi Webber, Dr Frank Ewert (Leibniz Centre for Agricultural Landscape Research)Funded by: Australia-Germany Joint Research Co-operation Scheme, Universities Australia, German Academic Exchange Service (DAAD) Show less

I worked with Dr. Hamish Brown at the Plant and Food Research Institute in two opportunities (Jul 2018 and Sep/Oct 2019). The main objectives of this visits were to (i) consolidate international collaboration with partners in Plan & Food Research Institute, (ii) conduct collaborative work with Dr Brown on potato modelling development and (iii) training in programming and coding behind the APSIM NextGen user interface. We focused our work on the analysis of crop model configuration using the… Show more I worked with Dr. Hamish Brown at the Plant and Food Research Institute in two opportunities (Jul 2018 and Sep/Oct 2019). The main objectives of this visits were to (i) consolidate international collaboration with partners in Plan & Food Research Institute, (ii) conduct collaborative work with Dr Brown on potato modelling development and (iii) training in programming and coding behind the APSIM NextGen user interface. We focused our work on the analysis of crop model configuration using the potato APSIM model as a case study.Achievements: a paper published in Ecological Modelling. Show less

In collaboration with Dr. Ehsan Eyshi Rezaei and Dr. Stefan Siebert at the University of Gottingen, we worked in a research paper based on quantifying data aggregation effects (from soil [DAEs] and climate [DAEc] ) of model input data and their combined impacts for simulated irrigated and rainfed yield and irrigation water requirements (IWR). This study highlights the need to:• Separately quantify the impact of input data aggregation on model outputs to inform about data aggregation… Show more In collaboration with Dr. Ehsan Eyshi Rezaei and Dr. Stefan Siebert at the University of Gottingen, we worked in a research paper based on quantifying data aggregation effects (from soil [DAEs] and climate [DAEc] ) of model input data and their combined impacts for simulated irrigated and rainfed yield and irrigation water requirements (IWR). This study highlights the need to:• Separately quantify the impact of input data aggregation on model outputs to inform about data aggregation error. • Identify those variables that explain these aggregation errors.In line with previous studies, DAEc was mainly driven by differences in elevation and DAEs were largely influenced by soil properties. Climate input data, mainly rainfall, play a key role as a driver of potato yield variability at high spatial resolution. At coarser resolutions, soil data aggregation can strongly affect simulated potato yield (under rainfed conditions) and IWR. This study can guide crop modelers when choosing the spatial resolution for regional simulation related to regional water use and climate change impact assessments. More research is needed to assess model responses to other potato management practices, such as nitrogen fertilization rate, planting density, and genotype. Crop modeling using input data at coarse resolution needs to consider DAEc and DAEs to quantify the bias associated with data aggregation. This bias, which may be significant, may skew decision making at the regional level.Achievements: Three papers published in Science of the Total Environment, European Journal of Agronomy and Field Crops Research and one under review in Scientific Reports.Host Researchers: Dr Ehsan Eyshi Rezaei and Dr Stefan Siebert.Funded by: Australia-Germany Joint Research Co-operation Scheme, Universities Australia, German Academic Exchange Service (DAAD) Show less

Plant physiology, crop modelling, and multi-environmental analysisCONICET Supervisor: Dr Octavio Caviglia• Participate actively in the preparation for national and international proposals and research grants.• Participate in dissemination activities related to my research line. Collect, analyse and interpret results, prepare seminars, workshop presentations, and present oral and written scientific reports papers in high-quality journals.• Conduct post-graduate (~15 students)… Show more Plant physiology, crop modelling, and multi-environmental analysisCONICET Supervisor: Dr Octavio Caviglia• Participate actively in the preparation for national and international proposals and research grants.• Participate in dissemination activities related to my research line. Collect, analyse and interpret results, prepare seminars, workshop presentations, and present oral and written scientific reports papers in high-quality journals.• Conduct post-graduate (~15 students) and undergraduate (~50 students) courses on crop ecophysiology and agricultural systems. Advised one Honours thesis (Bachelor’s degree in Agronomy) at the National University of Entre Ríos (Impact of cover crops with different defoliation levels on soil carbon storage) Show less

PhD supervisorsDr M Agnusdei (INTA-Balcarce)Dr O Caviglia (INTA-Parana/UNER/CONICET)Dr E Satorre (UBA/CONICET)Dr F Lattanzi (INIA Uruguay)• Apply ecophysiology concepts to the management of annual/perennial cropping systems for forage and grain production through field experimentation and biophysical simulation models (DSSAT and APSIM), with emphasis on improving resource use efficiency with minimal environmental impact.• Use simulation models to analyse and predict… Show more PhD supervisorsDr M Agnusdei (INTA-Balcarce)Dr O Caviglia (INTA-Parana/UNER/CONICET)Dr E Satorre (UBA/CONICET)Dr F Lattanzi (INIA Uruguay)• Apply ecophysiology concepts to the management of annual/perennial cropping systems for forage and grain production through field experimentation and biophysical simulation models (DSSAT and APSIM), with emphasis on improving resource use efficiency with minimal environmental impact.• Use simulation models to analyse and predict the long-term productivity and stability of different cropping systems, encouraging the sustainable intensification of farm crop/forage production systems and improving environmental resources management strategies (solar radiation, soil water, and nutrients [mainly N]) while reducing environmental risks and climatic uncertainty.• Analyse and organize data for climate, soil, crop production, and management from five locations across Argentinian Pampas.• Calibrate and validate APSIM to predict biomass production at the crop and sequence level.• Design and conduct a 3-year field experiment in Balcarce, Argentina (May 2012 to May 2015).• Conduct probe calibration for Argiudoll soil in Balcarce, Argentina.• Data analysis and dissertation manuscript writing. Show less

Multi-environmental analysis and crop modelling of annual and perennial crops.Supervisors: Dr J Volenec and Dr S Brouder.• Objective 1: modify the APSIM model so that it could accurately predict growth and yield of switchgrass and Miscanthus; two plant species that are not yet represented in this large, multi-species model.I altered two existing APSIM sub-models (lucerne, sugarcane) using knowledge of species-specific differences in growth, development and agronomic practices. I… Show more Multi-environmental analysis and crop modelling of annual and perennial crops.Supervisors: Dr J Volenec and Dr S Brouder.• Objective 1: modify the APSIM model so that it could accurately predict growth and yield of switchgrass and Miscanthus; two plant species that are not yet represented in this large, multi-species model.I altered two existing APSIM sub-models (lucerne, sugarcane) using knowledge of species-specific differences in growth, development and agronomic practices. I assembled large databases for soils and weather that I could subsequently associate with site-specific yield data of both species and successfully calibrated and validated both of these new sub-models. These new APSIM sub-models predict the yield of both species across broad geographies from the East Coast to the Great Plains of the US.• Objective 2: alter the APSIM maize model routine in substantive ways to predict corn yield in continuous corn and soybean-corn rotations.First, I successfully calibrated and validated the model using data from the Eastern corn belt of the US. I then used water flow and agronomic data from Purdue’s Water Quality Field Station (WQFS) to calibrate the water use/drainage sub-routine of water balance data can be obtained. This enabled to make improvements in the APSIM maize model not otherwise possible. Show less

Trainee on APSIM modelling with researchers from The University of Sydney (Dr Garcia and Islam) and The University of Tasmania (Dr Pembleton).Objective: use experimental field data collected in several Argentinian sites (Gral Villegas, Rafaela, Pergamino, Balcarce and Trenque Lauquen) to evaluate the ability of APSIM to simulate the growth patterns of lucerne and annual ryegrass and to predict dry matter yields across a wide range of crop management practices. Also, I simulated dry… Show more Trainee on APSIM modelling with researchers from The University of Sydney (Dr Garcia and Islam) and The University of Tasmania (Dr Pembleton).Objective: use experimental field data collected in several Argentinian sites (Gral Villegas, Rafaela, Pergamino, Balcarce and Trenque Lauquen) to evaluate the ability of APSIM to simulate the growth patterns of lucerne and annual ryegrass and to predict dry matter yields across a wide range of crop management practices. Also, I simulated dry matter yields of both crops at several Australian locations (Victoria and Tasmania) to ensure that possible changes into the model do not ruin the well APSIM performance that was already shown in these environments.Achievements: two papers published in European Journal of Agronomy and Agricultural Systems. Show less

Trainee on APSIM modelling with researchers from The University of Sydney (Dr Garcia and Islam) and The University of Tasmania - Tasmanian Institute of Agriculture (Dr Pembleton).Objective: use experimental field data collected in several Argentinian sites (Gral Villegas, Rafaela, Pergamino, Balcarce and Trenque Lauquen) to evaluate the ability of APSIM to simulate the growth patterns of lucerne and annual ryegrass and to predict dry matter yields across a wide range of crop management… Show more Trainee on APSIM modelling with researchers from The University of Sydney (Dr Garcia and Islam) and The University of Tasmania - Tasmanian Institute of Agriculture (Dr Pembleton).Objective: use experimental field data collected in several Argentinian sites (Gral Villegas, Rafaela, Pergamino, Balcarce and Trenque Lauquen) to evaluate the ability of APSIM to simulate the growth patterns of lucerne and annual ryegrass and to predict dry matter yields across a wide range of crop management practices. Also, I simulated dry matter yields of both crops at several Australian locations (Victoria and Tasmania) to ensure that possible changes into the model do not ruin the well APSIM performance that was already shown in these environments.Achievements: two papers published in European Journal of Agronomy and Agricultural Systems. Show less

Responsibilities• Responsible for field experiments.• Assistant for the seed marketing project.• Private consultant in agricultural systems.• Invited talks for growers.Achievements• Developed leadership skills and team coordination.• Independently solved complex problems.• Improved innovation and creativity to incorporate novel ideas and approaches to solve real farmer’s problems.

Responsibilities• Research and teaching Mathematics.• Undergraduate course (>100 students).• Design and conduct a field experiment in Paraná (Argentina) for one summer season.• Data analysis and dissertation manuscript writing.Achievements• Developed leadership skills and team coordination.• Mastered mathematical functions linked with crop growth.• Gained knowledge of field experimentation and crop production.• Developed experimental design… Show more Responsibilities• Research and teaching Mathematics.• Undergraduate course (>100 students).• Design and conduct a field experiment in Paraná (Argentina) for one summer season.• Data analysis and dissertation manuscript writing.Achievements• Developed leadership skills and team coordination.• Mastered mathematical functions linked with crop growth.• Gained knowledge of field experimentation and crop production.• Developed experimental design skills to conduct on-farm experiments.• Improved communication skills: scientific presentations, scientific publications, lectures.• Completed my degree career (Agricultural Engineer) and wrote an Honours dissertation. Show less