Paper · 2026 · Sustainability

Spatial Clustering of Front Yard Landscapes: Implications for Urban Soil Conservation and Green Infrastructure Sustainability in the Río Piedras Watershed

L. Kidany Sellés; Elvia J. Meléndez-Ackerman

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Open access · cc-by

Abstract

Current sustainability discourse promotes sustainable yard practices as a means for residents to contribute to urban environmental health and soil conservation. Social–ecological research suggests that yard practices are shaped by multiscale social drivers, including social contagion, whereby visible expressions of individuality in front yard design are copied by nearby neighbors. This study evaluated residential areas within the Río Piedras Watershed (RPWS) in the San Juan metropolitan area to assess evidence of social contagion in front yard configuration and vegetation structure, and to examine whether these variables were associated with socio-demographic and economic characteristics when spatial effects were considered. A total of 6858 front yards across six highly urbanized sites were analyzed using Google Earth Street View imagery. Housing lot sizes were quantified, and yards were classified into eight landscape configurations based on green and gray cover elements. Woody vegetation structures, including trees, shrubs, and palms, were also quantified to generate estimates of functional diversity and a front yard quality index. Significant differences in yard characteristics were observed among sites. Spatial analyses revealed significant clustering at distances of 65–80 m, particularly for front yard configuration, while clustering of woody vegetation density was weaker. Local clustering patterns and the distribution of outliers varied across sites. Spatial lag models indicated that lot area positively influenced yard configuration and quality, and the density and diversity of woody vegetation. While socio-economic variables were not significant predictors of yard quality, their effects cannot be discarded. Overall, results are consistent with social contagion processes but also highlight neighborhood design as a key driver of clustering, alongside widespread conversion of green to paved front yards, with implications for soil and green infrastructure loss as well as environmental and human health in the RPWS.

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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 7

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Yard characteristics differed significantly among the six urban sites.

Outcome
yard characteristicse0

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e0

“Significant differences in yard characteristics were observed among sites”

✓ located verbatim in the source · abstract, characters 1152–1225 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Spatial analyses showed significant clustering at distances of 65-80 m, particularly for front yard configuration.

Outcome
clusteringe1
Value
65–80 me1

Not reportedTaxon

Verbatim

e1

“Spatial analyses revealed significant clustering at distances of 65–80 m, particularly for front yard configuration”

✓ located verbatim in the source · abstract, characters 1227–1342 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Clustering of woody vegetation density was weaker than that of front yard configuration.

Taxon
woody vegetatione2
Outcome
clustering of woody vegetation densitye2
Direction
weakere2

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e2

“clustering of woody vegetation density was weaker”

✓ located verbatim in the source · abstract, characters 1350–1399 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Spatial lag models indicated that lot area positively influenced front yard configuration and quality.

Treatment
lot areae3
Outcome
yard configuration and qualitye3
Direction
positivelye3

Not reportedTaxon

Verbatim

e3

“Spatial lag models indicated that lot area positively influenced yard configuration and quality, and the density and diversity of woody vegetation”

✓ located verbatim in the source · abstract, characters 1481–1627 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Spatial lag models indicated that lot area positively influenced the density and diversity of woody vegetation.

Taxon
woody vegetatione3
Treatment
lot areae3
Outcome
density and diversity of woody vegetatione3
Direction
positivelye3

Verbatim

e3

“Spatial lag models indicated that lot area positively influenced yard configuration and quality, and the density and diversity of woody vegetation”

✓ located verbatim in the source · abstract, characters 1481–1627 · show in text ↑
Associationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Socio-economic variables were not significant predictors of yard quality, though their effects cannot be discarded.

Treatment
socio-economic variablese4
Outcome
yard qualitye4
Qualifier
their effects cannot be discardede4

Not reportedTaxonDirection

Verbatim

e4

“socio-economic variables were not significant predictors of yard quality, their effects cannot be discarded”

✓ located verbatim in the source · abstract, characters 1635–1742 · show in text ↑
Observationauthor interpretationoriginal resultmeasured

Claim · model-written summary

There is widespread conversion of green to paved front yards in the watershed.

Outcome
widespread conversion of green to paved front yardse5

Not reportedTaxon

Verbatim

e5

“widespread conversion of green to paved front yards”

✓ located verbatim in the source · abstract, characters 1888–1939 · show in text ↑