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Michael J. Meitner

Researcher at University of British Columbia

Publications -  40
Citations -  1861

Michael J. Meitner is an academic researcher from University of British Columbia. The author has contributed to research in topics: Forest management & Sustainable forest management. The author has an hindex of 19, co-authored 39 publications receiving 1430 citations.

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Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups

TL;DR: In this article, the authors describe the special needs of forest managers conducting participatory sustainable forest management planning in a sometimes-polarized public context, and outline criteria for designing decision-support processes to meet these needs.
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Who has access to urban vegetation? A spatial analysis of distributional green equity in 10 US cities

TL;DR: In this paper, the authors examined the distributional equity of urban vegetation in 10 US urbanized areas using very high resolution land cover data and census data and found that there is a strong positive correlation between urban vegetation and higher education and income across most cities.
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Characteristics of urban green spaces in relation to aesthetic preference and stress recovery

TL;DR: In this paper, the authors used a direct rating approach based on a single-item measurement to explore the effects of characteristics of urban green spaces on both aesthetic preference and perceived restorativeness of 24 images.
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Scenic beauty of river views in the Grand Canyon: relating perceptual judgments to locations

TL;DR: This article evaluated various presentation methodologies for use in the quantification of observer's perceptual judgments while traveling along linear features such as roads, trails, or, as in this study, rivers.
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The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: a case study in northeastern British Columbia, Canada

TL;DR: In this paper, a hierarchical decision-support system for evaluating multi-objective management options for a 288,000 ha forest in northeastern British Columbia is presented, including a stand-level model, a forest estate model, and a habitat model and a visualization model.