1 - Search strategy in Scopus

A structured search was performed in the Scopus database to retrieve studies on silvopastoral systems. The search was conducted using the TITLE-ABS-KEY field, including terms present in the title, abstract, and keywords. The strategy combined three groups of terms using Boolean operators. The first group included core terms related to silvopastoral systems. The second group included related concepts describing integrated systems and tree–livestock interactions. The third group included functional terms associated with key research topics in the field, such as soil carbon, nutrient cycling, biodiversity, and greenhouse gas emissions. The operator OR was used to include synonyms and variations, while AND was used to combine the conceptual groups. Wildcards were applied to capture different word endings. The final search string was:

TITLE-ABS-KEY((“silvopastoral system” OR ”silvo-pastoral system” OR silvopastoral* OR “tree-pasture system”)AND(agroforestry OR ”integrated crop-livestock-forest” OR ICLF OR ILPF OR ”tree-livestock interaction” OR “pasture tree” OR ”grazing system with tree”) AND (”soil carbon” OR ”carbon stock” OR “nutrient cycling” OR “soil fertility” OR “forage quality” OR “animal performance” OR “biodiversity” OR “ecosystem service” OR ”microclimate” OR ”methane emission” OR “greenhouse gas*” OR GHG))

The results were refined in Scopus to include only articles published in the last 10 years, in order to capture recent trends and the current state of the art in silvopastoral research.

2 - Creating the word cloud and thematic map in Bibliometrix

The search conducted in Scopus (2016–2026) retrieved a total of 286 articles. The search link is provided below to ensure reproducibility of the query:

link <- "https://www.scopus.com/results/results.uri?sort=plf-f&src=s&sid=8089d14e6afca3b9a17b6419c54ec3d7&sot=a&sdt=cl&sl=535&s=TITLE-ABS-KEY%28%28%22silvopastoral+system*%22+OR+%22silvo-pastoral+system*%22+OR+silvopastoral*+OR+%22tree-pasture+system*%22%29AND%28agroforestry+OR+%22integrated+crop-livestock-forest%22+OR+ICLF+OR+ILPF+OR%22tree-livestock+interaction*%22+OR+%22pasture+tree*%22+OR+%22grazing+system*+with+tree*%22%29AND%28%22soil+carbon%22+OR+%22carbon+stock*%22+OR+%22nutrient+cycling%22+OR+%22soil+fertility%22+OR%22forage+quality%22+OR+%22animal+performance%22+OR+%22biodiversity%22+OR%22ecosystem+service*%22+OR+%22microclimate%22+OR+%22methane+emission*%22+OR%22greenhouse+gas*%22+OR+GHG%29%29+AND+PUBYEAR+%3E+2015+AND+PUBYEAR+%3C+2027&origin=savedSearchNewOnly&txGid=9c09c75ef89fe28dab1aa198488612ef&sessionSearchId=8089d14e6afca3b9a17b6419c54ec3d7&limit=10"
cat(link)

All retrieved articles were exported from Scopus in BibTeX format. The word cloud and thematic map were generated using the Bibliometrix package in R through the Biblioshiny interface:

biblioshiny()

Warning: package ‘openxlsx’ was built under R version 4.3.3
Warning: package ‘dplyr’ was built under R version 4.3.3

Converting your scopus collection into a bibliographic dataframe


Warning:
In your file, some mandatory metadata are missing. Bibliometrix functions may not work properly!

Please, take a look at the vignettes:
- 'Data Importing and Converting' (https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html)
- 'A brief introduction to bibliometrix' (https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html)


Missing fields:  CR 
Done!


Generating affiliation field tag AU_UN from C1:  Done!

[1] "Matrix is empty!!"


Network matrix is empty!
The analysis cannot be performed
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  173: vctrs::vec_as_location
  172: chr_as_locations
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  154: scopus
  153: histNetwork
  152: localCitations
  149: normalizeCitationScore
  148: couplingMap
  147: eventReactiveValueFunc [C:\Users\Samsung\AppData\Local\R\win-library\4.3\bibliometrix\biblioshiny/server.R#3197]
  103: CMMAP
  102: renderPlotly [C:\Users\Samsung\AppData\Local\R\win-library\4.3\bibliometrix\biblioshiny/server.R#3213]
  101: func
   98: shinyRenderWidget
   97: func
   84: renderFunc
   83: output$CMPlot
    2: runApp
    1: biblioshiny

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