Multi-location experiments can ensure the spatiotemporal effects of diversified crop rotations

The gap

Evidence profile

Sourced from the limitations section and future-work section and stated challenges and stated research gap and abstract of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 8 journals. Those papers have been cited 414 times in total.

Supporting evidence — 8 representative gaps

• The Influence of Subak Farmer Groups on Weir Intake Operations (2026) · Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi · doi

  The temporal coverage of the dataset is relatively limited, with only 38 observations from January 2021 to July 2022. The study relies on semi-monthly time series data, which may not capture all the variability in water allocation and cropping dynamics.

  generallimitations sectionevidence 5/5
  Keywords: temporal coverage dataset relatively limited only observations january
• Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health (2024) · Nature Communications · cited 377× · doi

  Multi-location experiments can ensure the spatiotemporal effects of diversified crop rotations. Longer-term monitoring at multiple sites can reduce uncertainty associated with extreme weather events and climate change.

  generalfuture-work sectionevidence 5/5
  Keywords: multi-location experiments ensure spatiotemporal effects diversified crop rotations
• Land degradation is associated with larger crop yield gaps across global croplands (2026) · Nature Food · doi

  Land degradation is a gradual, cumulative process that is not well captured by short-term temporal fluctuations. The study must control for various confounding factors that affect crop yields. The analysis requires high-resolution data on land degradation and crop yield gaps.

  generalstated challengesevidence 5/5
  Keywords: land degradation gradual cumulative process well captured short-term
• Yield-graph: multi-stage growth-aware maize yield prediction via graph neural networks (2026) · Theoretical and Applied Genetics · doi

  Existing models are limited by spatial dependencies. Incomplete datasets restrict the generalizability of existing models. There is a need for a framework that can capture complex interactions between environmental factors and crop traits.

  generalstated research gapevidence 5/5
  Keywords: existing models limited spatial dependencies incomplete datasets restrict
• Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection (2024) · Remote Sensing · cited 11× · doi

  The impacts of spatial and temporal resolutions on crop emergence detection are not well understood. There is a lack of evaluation of the performance of different remote sensing datasets in detecting crop emergences. The importance of high temporal resolution for accurate emergence detection is not well established.

  generalstated research gapevidence 5/5
  Keywords: impacts spatial temporal resolutions crop emergence detection well
• Global 30 m annual cropland extent dynamics (2000–2024): a harmonized baseline of structural evolution and regional disparities (2026) · Earth System Science Data · doi

  Existing global products are often limited to snapshots or multiyear epochs and differ in their cropland definitions. There is a need for a dedicated global annual cropland-extent dataset that provides a harmonized baseline of structural evolution and regional disparities. Current datasets do not provide the necessary spatial and temporal resolution to assess the long-term spatiotemporal trajectories of agricultural expansion, stability, and reduction.

  generalstated research gapevidence 5/5
  Keywords: existing global products often limited snapshots multiyear epochs
• EMET: An emergence-based thermal phenological framework for near real-time crop type mapping (2024) · ISPRS Journal of Photogrammetry and Remote Sensing · cited 18× · doi

  Meanwhile, the crop mapping models constructed with historical crop type labels and corresponding satellite imagery may not be applicable to the current season in NRT due to spatiotemporal variability of crop phenology.

  generalabstractevidence 5/5
  Keywords: crop meanwhile mapping models constructed historical type labels corresponding satellite imagery applicable current season spatiotemporal
• Multi‐Decadal Soil Moisture and Crop Yield Variability—A Case Study With the Community Land Model (CLM5) (2024) · Journal of Advances in Modeling Earth Systems · cited 8× · doi

  Abstract While the impacts of climate change on global food security have been studied extensively, the capability of emerging tools that couple land surface processes and crop growth in reproducing inter‐annual yield variability at regional scale remains to be tested rigorously.

  generalabstractevidence 4/5
  Keywords: abstract impacts climate change global food security studied extensively capability emerging tools couple land surface

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