Abstract
This paper puts forth a Multi-Stakeholder Spatial Decision Analysis (M-SSDA) which combines Multi-Stakeholders Decision Analysis (M-SDA) and GIS processing based on a collaborative, hybrid and adaptive evaluative approach to support the elaboration of enhancement strategies designed for resilient landscapes. This methodology has been tested in the research project “Cilento Labscape: An integrated model for the activation of a Living Lab in the National Park of Cilento, Vallo di Diano and Alburni”, which was conducted in the Cilento National Park (Southern Italy). The aim of the methodology is to find alternative touristic routes for the promotion of the Park. The different steps in the process will be described, as will the employment of multiple tools/techniques (interviews, GIS tools, Semantic Analysis, and Geo-Statistical Analysis) to improve the reliability of the decision-making process. The most relevant results of the methodology will also be outlined in terms of the transition from the identification of the perceived landscape’s values to the acknowledgement of the shared values, and their consequent employment for the outlining of new thematic itineraries for the Park. To realise sustainable territorial strategies and preserve the landscape through bottom-up decision-making processes, the different local communities need to gain a new awareness of their identity shared values and make an active contribution towards promoting and managing their site-specific resources.
Highlights
The intrinsic interdisciplinarity and multiscalar characteristics of a landscape make it possible to identify a very flexible, changing, and evolving context, where the biological, cultural, and biophysical components interact and where resilience is conceived as the expression of the diversity of the elements, which thrive together in a co-evolution and regeneration process, and in an interconnected system resistant to shock and, at the same time, adaptive to change [1,2].The concept of resilient landscape, first from the ecological studies perspective, indicates the time required for an ecosystem to recover its equilibrium or steady-state following a perturbation [3,4,5,6]
This paper describes a case study which tests an evaluative methodological process using the elaboration of subjective indicators to identify sustainable promotional strategies for the enhancement of resilient landscapes
Progcreossuipnsg ooffpseooftplienv(iensstiigdaetrisonasn:dPoruotcseisdseinrsg). soft-data through the Semantic Analysis of the 2. in-Pdreopctehssiinngteorfvsioefwt isnvoebsttaiginateidonbs:yPtrhoecessusrinvgeyso[5ft5-]datotagtehtroreulgehvatnhet sSuebmjeacnttiivceAinndaliycsaitsoorsf trheelaitne-ddetopth lanidnstecravpieewpesrocbeptatiinoendabnydtthheespulravceeyn[a5m5]etsowgehterreelethveanint tseurbvjieecwtieveesiniddeincatitfoiersdrtehlaetiredowtonlafnacdtsocraspe of pvaerluceep. tion and the place names where the interviewees identified their own factors of value
Summary
The intrinsic interdisciplinarity and multiscalar characteristics of a landscape make it possible to identify a very flexible, changing, and evolving context, where the biological, cultural, and biophysical components interact and where resilience is conceived as the expression of the diversity of the elements, which thrive together in a co-evolution and regeneration process, and in an interconnected system resistant to shock and, at the same time, adaptive to change [1,2]. In studying and evaluating landscape resilience for sustainable development, people’s involvement is essential: surveying different opinions, points of view, observations, tallies, perceptions and experiences about the landscape helps to understand the related identity and relational values [33,34]; such an understanding should be preserved in landscape management and enhancement policies [35,36] From this perspective, considering subjective indicators is in line with other analogous studies aimed at site-specific sustainable development [37,38,39], such as those supporting bottom-up approaches and collaborative decision-making processes, where local communities are called upon to make a relevant contribution in resources management to promote place-based development [40].
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