Evaluating the usability and utility of a spatial decision support system for pollinator ecology

Environmental spatial decision support systems (SDSS) can help users make ecological choices informed by geographic information system (GIS) data, often using interactive maps. However, these tools often serve diverse stakeholder groups, each with their own expectations and goals. Here, we present results from an iterative process of user-centered design and evaluation that shaped the full redesign and development of the map-based pollinator health decision support tool Beescape NexGen . This tool assists beekeepers, growers, researchers, and other groups assess the quality of their landscape to support pollinators such as bees. Building upon results from an earlier usability evaluation of a Beescape prototype and a follow-up needs assessment focus group with key stakeholders, we designed an all-new interface and implemented an improved version of the tool called Beescape NexGen . A usability study of Beescape NexGen conducted with hobbyist beekeepers found significant improvements in usability and utility compared to the previous version of this tool. This project serves as an example of an iterative, long-term user-centered design project in ecological informatics resulting in direct comparisons between two versions of a SDSS. • Pollinator conservation is critical, and can be assessed through spatial analysis. • The decision support tool Beescape NexGen helps beekeepers assess bee habitat health. • Beescape NexGen is part of an iterative design process, following past user studies. • Beescape NexGen has significantly improved usability compared to previous versions. • Local data accuracy and knowledge should be integrated in future ecology tools.

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Publication Details

Journal
Ecological Informatics
Published
2025-05-02
DOI
https://doi.org/10.1016/j.ecoinf.2025.103182
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
3.03
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article

Evaluating the usability and utility of a spatial decision support system for pollinator ecology

Christina M. Grozinger, Lily Houtman, Anthony C. Robinson, Dave McLaughlin
1 citations
Ecological Informatics
Plant and animal studies
3.03
article

Evaluating the usability and utility of a spatial decision support system for pollinator ecology

Christina M. Grozinger, Lily Houtman, Anthony C. Robinson, Dave McLaughlin
article en
1 citations

Abstract

Environmental spatial decision support systems (SDSS) can help users make ecological choices informed by geographic information system (GIS) data, often using interactive maps. However, these tools often serve diverse stakeholder groups, each with their own expectations and goals. Here, we present results from an iterative process of user-centered design and evaluation that shaped the full redesign and development of the map-based pollinator health decision support tool Beescape NexGen . This tool assists beekeepers, growers, researchers, and other groups assess the quality of their landscape to support pollinators such as bees. Building upon results from an earlier usability evaluation of a Beescape prototype and a follow-up needs assessment focus group with key stakeholders, we designed an all-new interface and implemented an improved version of the tool called Beescape NexGen . A usability study of Beescape NexGen conducted with hobbyist beekeepers found significant improvements in usability and utility compared to the previous version of this tool. This project serves as an example of an iterative, long-term user-centered design project in ecological informatics resulting in direct comparisons between two versions of a SDSS. • Pollinator conservation is critical, and can be assessed through spatial analysis. • The decision support tool Beescape NexGen helps beekeepers assess bee habitat health. • Beescape NexGen is part of an iterative design process, following past user studies. • Beescape NexGen has significantly improved usability compared to previous versions. • Local data accuracy and knowledge should be integrated in future ecology tools.

Ecological InformaticsVol. 89
Pennsylvania State University (US)
Openalex Percentile: Top 11%
Plant and animal studies
3.03
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Evaluating the usability and utility of a spatial decision support system for pollinator ecology — Christina M. Grozinger, Lily Houtman, et al. · Ecological Informatics (2025) | TGRS Research Map | TGRS