Journal
GEOSCIENCES
Volume 11, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/geosciences11020061
Keywords
geoparks; UNESCO; network analysis; welfare; ecosystem; nature trails; geotourism
Categories
Funding
- UNESCO Chair of Geoparks, Sustainable Regional Development and Healthy Lifestyles - European Investment Funds FEDER/COMPETE/POCI-Competitiveness Operational Program and Internationalization [POCI-01-0145-FEDER-006958]
- National Funds of FCT-Portuguese Foundation for Science and Technology [UID/AGR/04033/2013, UID04045/2020, UIDB/04033/2020]
- Secretaria da Ciencia, Tecnologia e Educacao Superior do Estado do Ceara/Brazil (SECITECE)
- Fundacao Cearense de Apoio ao Desenvolvimento Cientifico e Tecnologico (FUNCAP) [08931709/2019]
- Rectory of the Regional University of Cariri (URCA)
- Araripe UNESCO Global Geopark
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This study explored the potential for promoting green exercise and geotourism in the Araripe UNESCO Global Geopark, highlighting the importance of central variables in maintaining network stability through analyzing connectivity and strength.
In this investigation, we formulated the Ecosystem's Health Provision Spectrum and its centrality indicators, based on the identification of the Ecosystem Health Potentials and Opportunities on the trails of Santo Sepulcro and Riacho do Meio in the Araripe UNESCO Global Geopark (UGG), establishing a baseline for the promotion of green exercise and geotourism in the territory. Based on the network methodology for complex systems, we analyzed the closeness and strength of biotic, abiotic variables, nature phenomena, infrastructure, and sensory experiences in order to determine the configuration of these associations. In the Santo Sepulcro, regarding the association, two negative relations and two positive relations among the variables were highlighted; as for closeness and strength, Aquatic Diversity with the Scientific Values of Geodiversity stood out. In Riacho do Meio, we highlight three positive associations among the variables; as for connectivity, Biodiversity and Meteorological and Climate Exposure presented the highest values and, as for strength, the variables Biodiversity, Route Classification, and Aquatic Diversity were the most prominent. We conclude, based on the presented configuration, that the variables with greater connectivity act as hubs; if these variables are optimized, the network will present an acceptable theoretical configuration. However, neglecting central strength variables can cause the network to collapse.
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