Dryad

There is a newer version of the record available.

Published August 3, 2023 | Version v1
Software Open

Precision agricultural data and ecosystem services: can we put the pieces together?

Creators

  • 1. University of Calgary
  • 2. Agriculture and Agriculture-Food Canada

Description

  1. Ecosystem services can maintain or increase crop yield in agricultural systems, but data to support management decisions is expensive and time-consuming to collect. Furthermore, relationships derived from small-scale plot data may not apply to ecosystem services operating at larger spatial scales (fields, landscapes).
  2. Precision yield data can be used to improve the accuracy and geographic range of ecosystem service studies, but have been underused in previous studies: out of 370 literature records, we found that less than 2% of all records were used to study biotic or landscape effects on yield. We argue that this is likely due to low data accessibility and a lack of familiarity with spatial data analysis.
  3. We provide examples of analysis using simulated and real precision yield data and outline two case studies of ecosystem services using precision yield data. Ecologists and agronomists should consider using precision yield data more broadly, as it can be used to test hypotheses about ecosystem services across multiple spatial scales, and could be used to inform the design of multifunctional farming landscapes.

Notes

All scripts were written in RMarkdown (Allaire et al 2023) using R version 4.3.1 (R Core Team 2023).

Allaire J, Xie Y, Dervieux C, McPherson J, Luraschi J, Ushey K, Atkins A, Wickham H, Cheng J, Chang W, Iannone R (2023). rmarkdown: Dynamic Documents for R. R package version 2.22, https://github.com/rstudio/rmarkdown.

 R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Funding provided by: Natural Sciences and Engineering Research Council of Canada
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038
Award Number:

Files

Files (48.4 kB)

Name Size Download all
md5:32885a687fb7e883ac2a3589728d4d5d
10.8 kB Download
md5:29f0c305dbfe48e98a1e0cbad3ef58f9
25.2 kB Download
md5:963edb42151eb1db13d9429222dc05d0
12.4 kB Download

Additional details

Related works

Is source of
10.5061/dryad.5x69p8d90 (DOI)