Urban forests and public health: Analyzing the role of citizen perceptions in their conservation intentions

City and Environment Interactions, Год журнала: 2025, Номер unknown, С. 100189 - 100189

Опубликована: Фев. 1, 2025

Язык: Английский

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Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of Michelia chapensis

Land, Год журнала: 2025, Номер 14(3), С. 638 - 638

Опубликована: Март 18, 2025

Climate change has presented considerable challenges in the management of urban forests and trees. Varieties studies have predicted potential changes species distribution by employing single-algorithm models (SDMs) to investigate impacts climate on plant species. However, there is still limited quantitative research suitable ranges commonly used tree Therefore, our study aims optimize traditional SDMs integrating multiple machine learning algorithms propose a framework for identifying trees under change. We took Michelia chapensis, particular significance southern China, as pilot evolution its range context two future scenarios (SSP126 SSP585) across four periods (2030s, 2050s, 2070s, 2090s). The findings indicated that ensemble SDM showed strong predictive capacity, with an area curve (AUC) value 0.95. chapensis estimated at 15.9 × 105 km2 currently it will expand most areas according projection. contract southeastern Yunnan, central Guangdong, Sichuan Basin, northern Hubei, Jiangxi, etc. location current located Hengyang, Hunan (27.36° N, 112.34° E), projected shift westward future. migration magnitude positively correlated intensity These provide scientific basis landscape planning chapensis. Furthermore, proposed can be seen valuable tool predicting response change, providing insights proactive adaptation management.

Язык: Английский

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Towards sustainable education: Investigating waste source sorting behavior among students in Vietnam

Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101446 - 101446

Опубликована: Янв. 1, 2025

Язык: Английский

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The linguistic feedback of tourism robots significantly influences visitors' ecotourism behaviors

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

With the extensive application of artificial intelligence technology in tourism industry, robot-assisted has become a vital strategy for enhancing tourist experiences and promoting sustainable practices. This study aims to explore impact language feedback from robots on tourists' ecotourism behavior analyze potential mediating moderating mechanisms. Through three experimental studies, we found that robot guides with capabilities significantly improve behavior. Specifically, environmental responsibility acts as moderator between robot's behavior, indicating is more effective when tourists have higher sense responsibility. Furthermore, enhances awareness by increasing cognitive trust propensity. The findings practical implications destinations operators designing implementing intelligent services promote ecological engagement.

Язык: Английский

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Green minds lead to green actions? Studying media literacy’s role in fostering visitors’ environmental behavior in urban forests in Tehran

City and Environment Interactions, Год журнала: 2025, Номер unknown, С. 100199 - 100199

Опубликована: Апрель 1, 2025

Язык: Английский

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Cultural roots in urban landscapes: Examining psychological and place attachment factors in heritage tree conservation

Journal for Nature Conservation, Год журнала: 2024, Номер unknown, С. 126816 - 126816

Опубликована: Дек. 1, 2024

Язык: Английский

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