Protected areas shape the distribution of tourism across rural Europe

Abstract Protected areas (PAs) have expanded rapidly in recent decades to help mitigate the ongoing biodiversity crisis but are under increasing human pressures that jeopardize their conservation effectiveness. Tourism in PAs may galvanize efforts towards biodiversity conservation, but it can also be a major source of threats, leading to multiple adverse social and ecological impacts. Considering the recent Kunming‐Montreal Global Biodiversity Framework, which aims to protect at least 30% of terrestrial ecosystems by 2030, understanding and assessing how and which PAs shape the spatial distribution of tourism is of great importance to biodiversity management and policy. In this study, we used a geospatial data set that describes the location and capacity of tourism accommodation in 81,185 local administrative units (LAUs) covering over 28 countries across rural Europe. After estimating the number of nights spent per LAU, we modelled the influence of PAs on the distribution of tourism throughout Europe while controlling for other social, economic and environmental covariates, but also for spatial autocorrelation. We reveal a positive link between highly protected PAs and the number of nights spent by tourists in LAUs. The attractiveness of these PAs for tourists may pose a conservation paradox, that is, highly protected PAs, which aim to safeguard nature tend to attract a disproportionate number of tourists, which may lead to nature degradation. Read the free Plain Language Summary for this article on the Journal blog.

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Publication Details

Journal
People and Nature
Published
2024-11-05
DOI
https://doi.org/10.1002/pan3.10700
Citations
1
Primary Topic
Economic and Environmental Valuation
Type
article
Field-Weighted Citation Impact
1.13
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article

Protected areas shape the distribution of tourism across rural Europe

Raphaël Seguin, David Mouillot, Filipe Batista e Silva, Vincent Delbar
1 citations
People and Nature
Economic and Environmental Valuation
1.13
article

Protected areas shape the distribution of tourism across rural Europe

Raphaël Seguin, David Mouillot, Filipe Batista e Silva, Vincent Delbar
article en
1 citations

Abstract

Abstract Protected areas (PAs) have expanded rapidly in recent decades to help mitigate the ongoing biodiversity crisis but are under increasing human pressures that jeopardize their conservation effectiveness. Tourism in PAs may galvanize efforts towards biodiversity conservation, but it can also be a major source of threats, leading to multiple adverse social and ecological impacts. Considering the recent Kunming‐Montreal Global Biodiversity Framework, which aims to protect at least 30% of terrestrial ecosystems by 2030, understanding and assessing how and which PAs shape the spatial distribution of tourism is of great importance to biodiversity management and policy. In this study, we used a geospatial data set that describes the location and capacity of tourism accommodation in 81,185 local administrative units (LAUs) covering over 28 countries across rural Europe. After estimating the number of nights spent per LAU, we modelled the influence of PAs on the distribution of tourism throughout Europe while controlling for other social, economic and environmental covariates, but also for spatial autocorrelation. We reveal a positive link between highly protected PAs and the number of nights spent by tourists in LAUs. The attractiveness of these PAs for tourists may pose a conservation paradox, that is, highly protected PAs, which aim to safeguard nature tend to attract a disproportionate number of tourists, which may lead to nature degradation. Read the free Plain Language Summary for this article on the Journal blog.

People and NatureVol. 6(6)
Centre National de la Recherche Scientifique (FR), Ifremer (FR), Université de Montpellier (FR), Joint Research Centre (IT), Marine Biodiversity Exploitation and Conservation (FR), Institut de Recherche pour le Développement (FR)
Life in Land
Openalex Percentile: Top 11%
Economic and Environmental Valuation
1.13
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