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Abstract:In order to safeguard the material and immaterial heritage and to foster delightful experiences for visitors, this investigation aimed to define a Matrix of Priorities for management of Visitation Impacts Management on the Geosites of Araripe UNESCO Global Geopark. With a quantitative approach involving the revision of documents, the methods used in this paper determined what the demands for visitation are as well as the impacts of these demands. We identified the offers for activities and occurrences in the geosites. Using this model, we calculated the following variables: (i) evident impacts, (ii) management profile, (iii) visitor demand and (iv) activity zone. We also classified the recommended management actions and presented the priority matrix. We classified the geosites of Ponte de Pedra, Riacho do Meio and Cachoeira de Missão Velha as requiring immediate or priority management action, in view of the high impacts of visitation evidenced. The geosites of Pedra Cariri, Floresta Petrificada and Parque dos Pterossauros were classified as programmed action, highlighting the difficulty of accessing them and the low demand for visitation. The geosites Pontal de Santa Cruz, Colina do Horto and Batateiras presented the best scores and require feedback action. It is emphasized that the deepening the investigations is required

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.