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Expert and novice group differences in eye movements when assessing biodiversity of harvested forests

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  • Pihel, Johan
  • Ode Sang, Åsa
  • Hagerhall, Caroline
  • Nyström, Marcus

Abstract

The European Landscape Convention encourages everyone to be part of the management and perception of the landscape. In Swedish forestry today, however, it is experts in biodiversity who are responsible for the management policies used when planning tree retention as a biodiversity conservation strategy. This gives the forest a certain structure, but it is uncertain whether this structure is felt to represent the same biodiversity when assessed by novices rather than biodiversity experts. Using eye tracking and subjective assessment scales, the present study investigates whether biodiversity expertise has an effect on biodiversity rating and its certainty, fixation durations, and dwell times in the field layer in the foreground when assessing images of recently logged forest that has some degree of tree retention. The results show no significant difference in the assessments of the images between the two groups; however, the certainty assessments and the eye-tracking data suggest that there are differences in strategies and behaviour. The findings have implications for the interpretation of self-reported data corresponding to measured behaviour when judging the biodiversity of a forest landscape. The study suggest that there could be differences between user groups that previous studies miss out on, and that eye tracking as a method could help detect these differences.

Suggested Citation

  • Pihel, Johan & Ode Sang, Åsa & Hagerhall, Caroline & Nyström, Marcus, 2015. "Expert and novice group differences in eye movements when assessing biodiversity of harvested forests," Forest Policy and Economics, Elsevier, vol. 56(C), pages 20-26.
  • Handle: RePEc:eee:forpol:v:56:y:2015:i:c:p:20-26
    DOI: 10.1016/j.forpol.2015.04.004
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    References listed on IDEAS

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    1. Carvalho-Ribeiro, Sónia Maria & Lovett, Andrew, 2011. "Is an attractive forest also considered well managed? Public preferences for forest cover and stand structure across a rural/urban gradient in northern Portugal," Forest Policy and Economics, Elsevier, vol. 13(1), pages 46-54, January.
    2. Rekola, Mika & Pouta, Eija, 2005. "Public preferences for uncertain regeneration cuttings: a contingent valuation experiment involving Finnish private forests," Forest Policy and Economics, Elsevier, vol. 7(4), pages 635-649, May.
    3. Åsa Ode Sang & Caroline Hagerhall & Johan Pihel & Kenneth Holmqvist, 2014. "Swedish Pasture-An Exploration of Perceptual Attributes and Categorisation," Landscape Research, Taylor & Francis Journals, vol. 39(4), pages 402-416, August.
    4. Lien Dupont & Marc Antrop & Veerle Van Eetvelde, 2014. "Eye-tracking Analysis in Landscape Perception Research: Influence of Photograph Properties and Landscape Characteristics," Landscape Research, Taylor & Francis Journals, vol. 39(4), pages 417-432, August.
    5. Scarpa, Riccardo & Hutchinson, W. George & Chilton, Susan M. & Buongiorno, Joseph, 2000. "Importance of forest attributes in the willingness to pay for recreation: a contingent valuation study of Irish forests," Forest Policy and Economics, Elsevier, vol. 1(3-4), pages 315-329, December.
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    Cited by:

    1. Wei, Hongxu & Hauer, Richard J. & He, Xingyuan, 2021. "A forest experience does not always evoke positive emotion: A pilot study on unconscious facial expressions using the face reading technology," Forest Policy and Economics, Elsevier, vol. 123(C).
    2. Ruochen Ma & Yuxin Luo & Katsunori Furuya, 2023. "Gender Differences and Optimizing Women’s Experiences: An Exploratory Study of Visual Behavior While Viewing Urban Park Landscapes in Tokyo, Japan," Sustainability, MDPI, vol. 15(5), pages 1-14, February.
    3. Ping Liu & Mengnan Liu & Tingting Xia & Yutao Wang & Hongxu Wei, 2021. "Can Urban Forest Settings Evoke Positive Emotion? Evidence on Facial Expressions and Detection of Driving Factors," Sustainability, MDPI, vol. 13(16), pages 1-16, August.

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