#Data_ModelIntegration
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jpecol.bsky.social
This review focuses on three key global change factors: elevated CO2, #climatechange, and nutrient enrichment. It systematically reviews the research progress in #data_modelintegration in #globalchange #manipulativeexperiments.

#landsurfacemodels | #ecosystemcarboncycle

doi.org/10.1093/jpe/...
Knowledge gaps revealed by data-model integration in warming and changing rainfall regimes experiments. The synthesis summarizes findings from studies on (a) warming and (b) changing rainfall regimes. Green boxes: agreement between models and observations; red boxes: gaps where new experimental research is needed to advance mechanistic understanding; blue boxes: processes that require model refinement using existing experimental data.
August 24, 2026 at 3:29 PM
jpecol.bsky.social
【🎉Latest accepted article】
#Data_ModelIntegration in #GlobalChange #ManipulativeExperiments: Progresses, Challenges, and Future Directions

#LandSurfaceModels | #EcosystemCarbonCycle | #ModelUncertainty

@mapjournals.bsky.social

doi.org/10.1093/jpe/...
Data-Model Integration in Global Change Manipulative Experiments: Progresses, Challenges, and Future Directions
This review synthesizes advances in integrating global change manipulative experiments with process-based models, identifies persistent knowledge gaps in k
doi.org
March 9, 2026 at 3:35 PM