Protected areas around the world receive nearly 800 billion visits/year, with international tourism continuing to increase. While protected areas provide necessary benefits to communities and visitors, the increased visitation may negatively impact the resource and the recreational experience, hence the need to manage visitor use in protected areas around the world. This research focused on obtaining information from experts to document their experiences utilizing one visitor use planning framework: Visitor Experience and Resource Protection (VERP). Using the Delphi Technique, 31 experts from seven regions around the world were asked to identify elements necessary for effective visitor management, as well as elements that facilitated or limited success when using VERP. Elements were categorized and rated in terms of importance. Scoring of the final categories was analyzed using Wilcoxon and Median non-parametric statistical tests. Results suggest that planning challenges stem from limitations in organizational capacity to support a long-term, adaptive management process, inferring that VERP may be sufficiently developed, but implementation capacity may not. The results can be used to refine existing frameworks, and to aid in the development of new recreation frameworks.
Past research has extensively studied interpretive messaging and visitor conflict within parks and protected areas. However, comprehensive understanding of how to identify trailside interpretive sign locations is lacking. The purpose of this study was to introduce an approach using geographic information systems (GIS) that supplements decision-making regarding sign placement. The study site was Grand Canyon National Park’s Rim to Rim (R2R) corridor. To identify sign placement locations, two analytical phases were conducted. First, GPS data loggers were distributed to visitors and their travel patterns were analyzed for spatial behaviors and spatial interactions that are known to influence the likelihood of recreation conflict. Specifically, locations with a high variance of visitor travel speeds and locations with concentrated visitor use were identified. Second, geographic data were analyzed to identify locations for a combination of features that together influence the likelihood of recreation conflict. Specifically, popular bidirectional trail segments with significant elevation change were identified. We reported these locations and areas using GPS coordinates for evaluation by future research. This research was a necessary step towards comprehensively understanding how to identify locations for interpretive signs.
Camera-based data collection and image analysis are integral methods in many research disciplines. However, few studies are specifically dedicated to trends in these methods or opportunities for interdisciplinary learning. In this systematic literature review, we analyze published sources (n = 391) to synthesize camera use patterns and image collection and analysis techniques across research disciplines. We frame this inquiry with interdisciplinary learning theory to identify cross-disciplinary approaches and guiding principles. Within this, we explicitly focus on trends within and applicability to environmental conservation social science (ECSS). We suggest six guiding principles for standardized, collaborative approaches to camera usage and image analysis in research. Our analysis suggests that ECSS may offer inspiration for novel combinations of data collection, standardization tactics, and detailed presentations of findings and limitations. ECSS can correspondingly incorporate more image analysis tactics from other disciplines, especially in regard to automated image coding of pertinent attributes.
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