Moore et al. (2026) Do data from the RISMA soil monitoring network support agricultural modeling requirements?

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Vadose Zone Journal
• Year: 2026
• Date: 2026-07-01
• Authors: Kayla R. Moore, Taras E. Lychuk, Aston C. Chipanshi, Ward Smith, Brian B. Grant, David R. Lapen, René Morissette, Stéphane Bélair, Heather E. McNairn
• DOI: 10.1002/vzj2.70134

Research Groups

• University of Saskatchewan
• University of Manitoba
• University of Ontario

Short Summary

This study assesses the adequacy of soil water and agri-environmental data collected by the Real-Time In-Situ Soil Monitoring for Agriculture (RISMA) network to support agricultural modeling in Canadian agriculture. The results highlight the need for standardizing collection of weather, soil, snowfall, and crop production data.

Objective

• To evaluate the suitability of RISMA data for supporting various agricultural models

Study Configuration

• Spatial Scale: Seven watersheds across Saskatchewan, Manitoba, and Ontario, Canada.
• Temporal Scale: Real-time monitoring at 32 stations within the RISMA network.

Methodology and Data

• Models used: VSMB, SVS, EPIC, APEX/ArcAPEX, Hydrogeosphere, HYDRUS, DNDCv.CAN, HEC-HMS.
• Data sources: In-situ soil monitoring data from the RISMA network.

Main Results

• The RISMA network collects essential data for agricultural modeling, but standardization of weather, soil, snowfall, and crop production data is required to enhance its value.
• Key findings include the need for consistent collection of planting and harvest dates, crop type, tillage, and fertilizer application data.

Contributions

• This study provides a comprehensive assessment of RISMA data adequacy for supporting various agricultural models, highlighting areas for improvement in data standardization.

Funding

• Not specified in the provided text.

Citation

@article{Moore2026Do,
  author = {Moore, Kayla R. and Lychuk, Taras E. and Abbasi, Naeem and Chipanshi, Aston C. and Smith, Ward and Grant, Brian B. and Lapen, David R. and Morissette, René and Bélair, Stéphane and McNairn, Heather E.},
  title = {Do data from the RISMA soil monitoring network support agricultural modeling requirements?},
  journal = {Vadose Zone Journal},
  year = {2026},
  doi = {10.1002/vzj2.70134},
  url = {https://doi.org/10.1002/vzj2.70134}
}