Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1119-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1119-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
25 Mar 2019
Development and technical paper |
| 25 Mar 2019
| 25 Mar 2019
Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models
Yuanyuan Huang
CORRESPONDING AUTHOR
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Laboratoire des Sciences du Climat et de l'Environnement, 91191
Gif-sur-Yvette, France
Mark Stacy
University of Oklahoma Information Technology, Norman, Oklahoma, USA
Jiang Jiang
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Key Laboratory of Soil and Water Conservation and Ecological Restoration
in Jiangsu Province, Collaborative Innovation Center of Sustainable Forestry
in Southern China of Jiangsu Province, Nanjing Forestry University, Nanjing,
Jiangsu, China
Nilutpal Sundi
Department of Computer Science, University of Oklahoma, Norman, Oklahoma,
USA
Shuang Ma
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Center for Ecosystem Science and Society, Northern Arizona University,
Flagstaff, Arizona, USA
Volodymyr Saruta
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Center for Ecosystem Science and Society, Northern Arizona University,
Flagstaff, Arizona, USA
Chang Gyo Jung
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Center for Ecosystem Science and Society, Northern Arizona University,
Flagstaff, Arizona, USA
Zheng Shi
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Jianyang Xia
Tiantong National Forest Ecosystem Observation and Research Station,
School of Ecological and Environmental Sciences, East China Normal
University, Shanghai 200062, China
Research Center for Global Change and Ecological Forecasting, East China
Normal University, Shanghai 200062, China
Paul J. Hanson
Environmental Sciences Division and Climate Change Science Institute, Oak
Ridge National Laboratory, Oak Ridge, Tennessee, USA
Daniel Ricciuto
Environmental Sciences Division and Climate Change Science Institute, Oak
Ridge National Laboratory, Oak Ridge, Tennessee, USA
Department of Microbiology and Plant Biology, University of Oklahoma,
Norman, Oklahoma, USA
Center for Ecosystem Science and Society, Northern Arizona University,
Flagstaff, Arizona, USA
Department of Earth System Science, Tsinghua University, Beijing
100084,
China
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Cited
17 citations as recorded by crossref.
- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
- Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions S. Abdollahzadeh et al. 10.1016/j.rsase.2021.100503
- Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis M. Simmonds et al. 10.5334/dsj-2022-003
- A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
- Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration I. Fer et al. 10.1111/gcb.15409
- An Integrative Model for Soil Biogeochemistry and Methane Processes: I. Model Structure and Sensitivity Analysis D. Ricciuto et al. 10.1029/2019JG005468
- Coding for Life: Designing a Platform for Projecting and Protecting Global Biodiversity M. Urban et al. 10.1093/biosci/biab099
- Towards the fully automated monitoring of ecological communities M. Besson et al. 10.1111/ele.14123
- Progress and opportunities in advancing near‐term forecasting of freshwater quality M. Lofton et al. 10.1111/gcb.16590
- Research challenges and opportunities for using big data in global change biology J. Xia et al. 10.1111/gcb.15317
- Containers for computational reproducibility D. Moreau et al. 10.1038/s43586-023-00236-9
- Robust hydraulic traits correlation in woody species despite large trait variation along natural and experimental environmental gradients R. Huang et al. 10.1111/1365-2435.14591
- Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al. 10.5194/bg-20-3637-2023
- Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
- Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
- Forecasting semi‐arid biome shifts in the Anthropocene A. Kulmatiski et al. 10.1111/nph.16381
- Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models Y. Huang et al. 10.5194/gmd-12-1119-2019
16 citations as recorded by crossref.
- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
- Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions S. Abdollahzadeh et al. 10.1016/j.rsase.2021.100503
- Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis M. Simmonds et al. 10.5334/dsj-2022-003
- A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
- Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration I. Fer et al. 10.1111/gcb.15409
- An Integrative Model for Soil Biogeochemistry and Methane Processes: I. Model Structure and Sensitivity Analysis D. Ricciuto et al. 10.1029/2019JG005468
- Coding for Life: Designing a Platform for Projecting and Protecting Global Biodiversity M. Urban et al. 10.1093/biosci/biab099
- Towards the fully automated monitoring of ecological communities M. Besson et al. 10.1111/ele.14123
- Progress and opportunities in advancing near‐term forecasting of freshwater quality M. Lofton et al. 10.1111/gcb.16590
- Research challenges and opportunities for using big data in global change biology J. Xia et al. 10.1111/gcb.15317
- Containers for computational reproducibility D. Moreau et al. 10.1038/s43586-023-00236-9
- Robust hydraulic traits correlation in woody species despite large trait variation along natural and experimental environmental gradients R. Huang et al. 10.1111/1365-2435.14591
- Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al. 10.5194/bg-20-3637-2023
- Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
- Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
- Forecasting semi‐arid biome shifts in the Anthropocene A. Kulmatiski et al. 10.1111/nph.16381
Latest update: 14 Dec 2024
Short summary
Predicting future changes in ecosystem services is not only highly desirable but is also becoming feasible as several forces are converging to transform ecological research into quantitative forecasting. To realize ecological forecasting, we have developed an Ecological Platform for Assimilating Data (EcoPAD) into models. EcoPAD also has the potential to become an interactive tool for resource management, stimulate citizen science in ecology, and transform environmental education.
Predicting future changes in ecosystem services is not only highly desirable but is also...
