Planning for recreation along the opportunity spectrum: The case of Oslo, Norway

Gundersen, Vegard; Tangeland, Torvald; Kaltenborn, Bjørn P.

doi:10.1016/j.ufug.2015.01.006

Cited by 33 publications

(49 citation statements)

References 25 publications

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“…The Recreation Opportunity Spectrum (ROS) has been widely used as a management framework to guide provision of diverse recreation opportunities [31][32][33]. For example, the ROS classification have been introduced for recreational planning of Oslo urban forests [22], and ROS mapping have been used as the basic element for modeling recreational opportunities to serve ecosystem services in urban proximate areas at a European scale [34]. The Recreation Opportunity Spectrum, originally developed as a tool for planning, and managing recreation opportunities, has been adopted for reclassification of the land cover according to the range of opportunities available and the proximity to the potential users.…”

Section: Recreation Along the Infrastructure Continuummentioning

confidence: 99%

“…The concept of primitive or wilderness areas is in this paper not used in its original meaning, but as a solitude nature experience in natural forests patches in an urban forest setting. Adaptations of the originally six classes [26] to Norwegian forest settings correspond to a high degree, except for the classes including use of motorized vehicles [22]. In Norway, there are strong restrictions on using motorized transport in outfields.…”

Section: Recreation Along the Infrastructure Continuummentioning

confidence: 99%

“…Norway is an interesting case in terms of public preferences for forest infrastructure, because recreational users are free to choose whatever forest environment they want and are not bound to any kind of infrastructure by law. Despite this, actual visitor use is strongly linked to infrastructure and facilities [22] in forest areas. Roads, marked trails, campsites and bridges will attract and concentrate visitors in particular areas.…”

Section: Introductionmentioning

confidence: 99%

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Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings

Gundersen

Vistad

2016

Forests

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Abstract:We have investigated public preferences for use intensity and visual quality of forest recreational infrastructure. Forest infrastructure covers five classes, along a continuum from unmarked paths to paved walkways. Altogether, 39 sites were categorized into the five classes and measured with automatic counters. A sample of 545 respondents living in southeastern and middle Norway were asked to rate 15 forest scenes and 35 preconceptions of recreational settings. The path scenarios were depicted as digitally calibrated photos that systematically displayed physical path feature in boreal, semi-natural settings. Survey participants showed a clearly greater preference for photos and preconceptions of forests settings containing minor elements of forest infrastructure; unmarked paths received the highest score and forest roads/walkways/bikeways the lowest. We identified a clear mismatch between public preferences for forest infrastructure and the intensity of use; the less appreciated infrastructure was the most used. Planning and management has to consider these different needs for recreational infrastructure, and we propose an area zoning system that meets the different segments of forest visitors.

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Section: Recreation Along the Infrastructure Continuummentioning

confidence: 99%

Section: Recreation Along the Infrastructure Continuummentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings

Gundersen

Vistad

2016

Forests

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“…The motivation for including such constraints in forest management may be to reduce the effects of clear cutting on forest fragmentation and ecological processes, to disperse the potential impact on water quality from harvesting or to develop a forest with a variety of different age classes that favour high species richness. However, since Oslomarka is used by so many people, recreational and aesthetic aspects have been a main motivation (Gundersen et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

Borges¹,

Bergseng²,

Eid³

et al. 2015

Silva Fenn.

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• We solved a large and real world near city forestry problem.• The inclusion of maximum open area constraints caused 7.0% loss in NPV.• Solution value at maximum deviated 0.01% from the true optimum value.• The annual energy supply of 20-30 GWh estimated from harvest residues could provide a small, but stable supply of energy to the municipality. AbstractThe nature areas surrounding the capital of Norway (Oslomarka), comprising 1 700 km 2 of forest land, are the recreational home turf for a population of 1.2 mill. people. These areas are highly valuable, not only for recreational purposes and biodiversity, but also for commercial activities.To assess the impacts of the challenges that Oslo municipality forest face in their management, we developed four optimization problems with different levels of management constraints. The constraints consider control of harvest level, guarantee of minimum old-growth forest area and maximum open area after final harvest. For the latter, to date, no appropriate analyses quantifying the impact of such a constraint on economy and biomass production have been carried out in Norway. The problem solved is large due to both the number of stands and number of treatment schedules. However, the model applied demonstrated its relevance for solving large problems involving maximum opening areas. The inclusion of maximum open area constraints caused 7.0% loss in NPV compared to the business as usual case with controlled harvest volume and minimum old-growth area. The estimated supply of 20-30 GWh annual energy from harvest residues could provide a small, but stable supply of energy to the municipality.

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“…Local deviations from any Trail Class descriptor may be established based on trail-specific conditions, topography and other factors. The study defines three types of ROS areas for trail classification, there are wilderness, special consideration and service (Gundersen, Tangeland, & Kaltenborn, 2015). Five trail class categories are defined in terms of tread, obstacles, constructed elements, signs and typical recreation experience:…”

Section: Classification Of Trailmentioning

confidence: 99%

A Review of Interpreting the Parameters of Nature-based Trail Setting in Primary Rainforest using ROS Concept

Misni¹,

Aziz²,

Sulaiman³

et al. 2017

E-BPJ

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Primary rainforest as an old heritage has become widely known because of its old natural, beautiful setting and the richest of its biodiversity. A nature-based trail is a natural path in the rainforest as a medium to explore the uniqueness of the natural beauty assets and the biodiversity of the forest. The development of the nature-based trail settings in a primary rainforest gives the impact towards visitor's experience indirectly to appreciate the biodiversity. Recreation Opportunity Spectrum (ROS) parameters will be used to interpret the effectiveness of the trail. The sustainability of natural resources becomes a major concern towards the management and conservation of the biodiversity.

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Planning for recreation along the opportunity spectrum: The case of Oslo, Norway

Cited by 33 publications

References 25 publications

Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings

Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings

Impact of maximum opening area constraints on profitability and biomass availability in forestry – a large, real world case

A Review of Interpreting the Parameters of Nature-based Trail Setting in Primary Rainforest using ROS Concept

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