Visual Metrics for the Maxton Plains Alvars in Michigan, USA

Abstract

Planners, designers, environmentalists, concerned citizens, and government officials are interested in the management and preservation of small rare and unique ecological environments. Scholars have discovered that land-use and visual quality metrics often co-vary together and that various land-uses reside on a continuum scale from high respondent preference (biospheric land-uses) to low respondent preference (noospheric land-uses). This study assessed and documented the visual metrics for the Maxton Plains alvar/alvar grassland plant communities found on Drummond Island, Michigan, USA. These unique, small, and rare landscape types are not usually studied by large-scale visual quality mapping efforts which assess urban areas, woodlands, water, farmland, pastureland, and prairies. The visual metrics were assessed using two versions of predictive visual quality assessment models. Results from 60 field photographs reveal that the visual metrics assessment for the Maxton Plains alvars/alvar grasslands have a moderate visual preference, consistent visual quality scores: ranging from the low to middle 50s with the first equation and high 40s to low 50s with the second equation. Compared to many landscape and land-uses, these environments have scores that indicate a moderate visual preference and appreciation. Scores beyond±2.5 of the mean would indicate a significant (p≤0.05) perceivable drift from the existing conditions. The visual metrics provide a numerical framework for managing the spatial contents within and adjacent to the alvars. Landscape features such as buildings, invasive woodlands, agriculture, and pavement would all decrease the visual quality beyond the ± 2.5 score range.

Keywords

Environmental Design / Landscape Architecture / Plant Ecology / Landscape Metrics / Visual Assessment

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2021 Higher Education Press