Implementation of various restrictions to eradicate viral diseases has globally affected human activity and subsequently nature. But how can the altered routines of human activity (restrictions, lockdowns) affect wildlife behaviour? This study compared the differences between human and wildlife occurrences in the study forest area with acreage of 5430.6 ha in 2018 (African swine fever outbreak, complete entrance ban), 2019 (standard pattern) and 2020 (COVID-19 restrictions) during the breeding season. The number of visitors was lower by 64% in 2018 (non-respecting of the entry ban by forest visitors) compared to standard 2019, while in 2020, the number of visitors increased to 151%. In the COVID-19 period, distinct peaks in the number of visitors were observed between 8-11 AM and 4-7 PM. The peaks of wildlife activity were recorded between 4-7 AM and 9-12 PM. Animals avoided the localities that were visited by humans during the people-influenced time (24 h after people visit), which confirmed the direct negative impact of human activities on wildlife.
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http://dx.doi.org/10.1038/s41598-021-99862-0 | DOI Listing |
BMC Oral Health
December 2024
Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Chiba, Noda, 278-8510, Japan.
Background: With the rise in the older population, it has become important to understand the relationship between oral frailty and drug use to consider appropriate medical interventions and drug use for older persons.
Objective: To clarify the relationship among oral frailty, drug use, and other patient backgrounds and to identify relevant factors using information from patient questionnaires and pharmacy medication history records.
Methods: This cross-sectional study involved community-dwelling older adults.
Int J Popul Data Sci
December 2024
Thomas Coram Research Unit, Social Research Institute, University College London, London, WC1H 0AA.
Introduction: Health visiting is a community service provided to families with children under five in England and is a key focus of early years policy. Individual-level data on health visiting is captured in the Community Services Data Set (CSDS), an administrative dataset of publicly funded community services across England. Analyses of CSDS are considered experimental as the dataset matures.
View Article and Find Full Text PDFSci Rep
December 2024
The Tourism College of Changchun University, Changchun, 130607, Jilin, China.
This study aims to utilize deep learning technology to optimize rural tourism image, enhance visitor experience, and promote sustainable development. By deploying sensors for real-time monitoring of the environment and visitor flow in rural scenic areas, combined with a Dense Convolutional Neural Network (DenseNet), automatic identification and analysis of rural landscapes are achieved. Using rural tourism along the Yellow River as a case study, this study constructs a tourism image evaluation and optimization model based on big data.
View Article and Find Full Text PDFJ Environ Manage
November 2024
Institute of Geography and Spatial Management, Jagiellonian University in Krakow, Gronostajowa 7, 30-387, Kraków, Poland.
Overtourism results in pressure exerted on the natural environment, negative impacts on local communities and lower tourist satisfaction in many protected areas (PAs). This phenomenon has become an increasingly important issue in the management of national parks (NPs) in Poland, especially the mountain ones. Countering and alleviating the effects of overtourism requires developing appropriate management strategies based on the detailed analysis of tourism monitoring data.
View Article and Find Full Text PDFJ Environ Manage
November 2024
Outdoor Recreation & Data Lab, University of Washington, Washington, USA.
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