CULTURAL AND RELIGIOUS HERITAGE IN THE CITY OF JUAZEIRO DO NORTE - CEARA AND THE AFFECTIVE HERITAGE PROTECTION THESIS IN GEOGRAPHY

We present in this article the formulation of a thesis involving geography, affectivity and heritage. The thesis is based on the study of two distinct urban religious sites occupying the same space in downtown Juazeiro do Norte city, in the state of Ceara – Brazil. The first is the heritage complex Largo do Socorro Square. The second one, idealized as a tourist attraction, was implanted in the same square as a museum and memorial space. The analysis highlights particularly the conceptual difference between these two heritages and, in terms of these analysis, we present the thesis of affective protection heritage. We propose to discuss the thesis that Largo do Socorro Square is protected through human affectivity, since it is a space of strong symbolic dynamics based on popular religiosity. This square became an affective and social heritage through its strong social and cultural symbolism of religiosity

The creation of the touristic image of Ceará: tourism publicity or political advertisement?

Analyzing the use of Ceara´s tourist image as a promoter of state political propaganda, this article seeks to reveal the consolidation of the reigning political-ideological apparatus. The analysis is based on the promotional material produced by the Ceará Secretary of Tourism. It was found that in addition to images of natural beauty, emphasis is given in the tourist propaganda to the realizations (public works, infrastructure, etc), the success, and triumphs of local governments, notably the Government of Changes program

A PAISAGEM DOS COMPLEXOS TOTÊMICO-RELIGIOSOS NO CEARÁ: ENTRE NOVAS ROTAS E VELHAS TRADIÇÕES

Este artigo aborda uma reflexão em torno dos santuários cearenses e as paisagens constituídas a partir do uso de imagens totêmicas para a promoção do turismo religioso. As análises aqui realizadas se desdobram sobre as imagens e paisagens constituídas por totens católicos, estátuas gigantes de divindades católicas que adornam santuários, sobretudo no estado do Ceará. O fenômeno do totemismo católico tem fortes relações com a dinâmica das cidades-santuários (OLIVEIRA, 2011) e das dinâmicas hipermodernas da sociedade contemporânea. Neste contexto, cabe destacar novas rotas turísticas religiosas que surgem no contexto pós-pandemia de reestruturação da atividade turística no estado. A metodologia exploratória do presente artigo encontra bases na geografia cultural e humanista e traz autores clássicos e contemporâneos do estudo da paisagem, nossa categoria central, para analisar o fenômeno em relevo. A leitura de documentos oficiais, notícias jornalísticas e relatos de personalidades de expressão e sujeitos comuns (CERTEAU, 2014) fazem parte do arranjo metodológico que visa, entre outras coisas, compreender também as narrativas e imaginários em torno destas peças monumentais. Percebe-se que há uma imbricação entre setores públicos e privados no erguimento dos totens que cumpre uma agenda com múltiplos objetivos. A instrumentalização da paisagem e do fazer turístico-religioso através destas peças religiosas possui múltiplas dimensões, porém se destacam os vieses econômicos e político-eleitorais e simbólico-culturais. Nosso estudo analisa as mudanças recentes nas paisagens das cidades de Barbalha e Santana do Cariri, com a efetivação do projeto da estátua de Santo Antônio e as projeções para o complexo turístico em devoção à Menina Benigna, respectivamente

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost