Yu Peng - Research

Research

Ongoing Projects:

agroecosystem resilience, satellite data pyramidsd, earth embedding

My focuses on leveraging leveraging AI-powered frameworks to harmonize multi-source datasets spanning lab assays, field observations, literature syntheses, and satellites images. His research aims to scale agricultural nature-based solutions from regional to continental levels and translate global syntheses into mechanistic insights, delivering scalable, science-backed strategies for sustainable agroecosystem functioning.

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Previoud Projects:

nature-based solutions, climate resilience, soil GHG emissions, meta-analysis

My phd research covered how agricultural conservation practices enhance croplands' resilience in the face of a warming climate. The overarching goal of mine is to support the transformation of cropping systems from intensive ones toward climate-smart ones grounded in sustainable ecological processes.

Specifically, our work explores how cover cropping strategies affect soil greenhouse gas emissions, crop yield stability, nitrogen management, and other system resilience. Integrating agroecology, soil ecology, and biogeochemistry.

I leverged a multidisciplinary research approach that includes on-farm controlled trials, regional-scale remote sensing monitoring, and continental-scale meta-analyses. I collaborate closely with local farmers, producers, conservation agents, and social scientists to advance an understanding of climate-resilient agroecosystems.

Examing how the imbalanced evidence overestimates the benefits of cover cropsn

Existing meta-analyses or ecosystem syntheses often conflate researcher-managed experimental trials with producer-managed commercial fields, implicitly treating controlled efficacy as scalable real-world performance.

This quantative provides a quantitative reality check on the disparity between theoretical cover-crop efficacy and commercially constrained performance, by harmonizing nearly 2,500 observations.

We offers an empirical correction for macro-scale biogeochemical modeling and calls for a shift from theoretical potential to operational reality in assessing climate-smart agriculture.

Under review

Assessing Field-scale Ecosystem Responses to Farmers' Cover Crop Adoption

This research centers on a 30-month field observation conducted under realistic commercial farming conditions, where we investigate how cover cropping combined with no-till management influences soil greenhouse gas emissions, carbon sequestration, and nitrogen leaching.

We focus on detecting spatiotemporal variations in these ecosystem processes, identifying the meteorological drivers of soil GHG dynamics, and comparing the performance of different cover cropping strategies.

This work is carried out in close collaboration with the USGS Indiana Water Science Center, the Allen County Soil Conservation Agency, and local farm owners, ensuring that the findings are grounded in both rigorous science and practical agricultural realities.

Refer: https://doi.org/10.1029/2025EF006009

Global-scale Cover Cropping Effects on Ecosystem Services

At the global scale, this research synthesizes empirical evidence to evaluate the effectiveness of cover cropping across diverse environments. By analyzing 1,027 field experiments, we quantified crop yield responses to cover cropping under varying scenarios, providing a robust assessment of agronomic outcomes.

We also conducted a global synthesis of how cover cropping influences major soil greenhouse gas emissions, with parts of this work still ongoing to further refine the estimates and expand regional coverage.

Refer: https://doi.org/10.1016/j.fcr.2024.109343

Web of Science highly cited paper (top 1% cited)

Thesis Projects:

Drought Variability and Climatic Oscillations in Central Asia

M.S thesis

Identification of Cropland in Ethiopia by Remote Sensing and Detection of its Spatiotemporal Changes

M.S thesis

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