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Biology subjects

Jardine, S.

Publications and source records attributed to Jardine, S..

2 recordsLinked to original sources

Western Washington culvert prioritization indexes: A cross jurisdictional comparative analysis of management strategies for salmon recovery

Culverts throughout western Washington state, U.S.A., contribute to declines in anadromous fish populations by blocking fish passage. A federal injunction requires that Washington state must restore 90 percent of blocked habitat caused by state-owned culverts by 2030. This ruling prompted the development of numerous prioritization indexes (PI), the ranking of barriers through weighted combinations of barrier-specific metrics, by culvert owning entities (i.e., counties, cities, ect.) within the injunction area. We conduct a comparative analysis of PIs within the injunction case area, investigating their ability to distinguish between barriers, their transferability in terms of scoring metrics utilized, how scoring weights differ, and the preferences implied thereby. We document the use of six distinct PI methods by ten barrier owning entities, and find that some PIs used many shared metrics, while others used a high percentage of unique metrics that would be difficult to replicate outside the entitys jurisdiction. While habitat quality, habitat quantity, and connectivity were considered across all PIs, we found a high level of variation in terms of the metric weights. Our methods can be employed in other geographies or for other restoration PI planning efforts, and our results may facilitate the development and refinement of future PIs.

ecology↗

Using Biometric Data to Measure and Predict Emotional Engagement of Video Games

Measurement and prediction of engagement in video games are very important because these are indicators to guide the development of game applications. Existing methods to predict game engagement are mostly based on subjective evaluations. This paper presents results correlating subjective and biometric data to show the potential of using biometric measures for assessment and prediction of engagement. Using three different games, we measured the biometric responses of participants and analyzed the responses using statistical and data mining methods. We compared the results with those obtained using subjective evaluations. Our results show that biometric measurements do correlate with subjective measures and better predict the self-reported engagement of a game.

bioinformatics↗