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Emotional State, Psychological Resilience, and Travel Intention to National Forest Park during COVID-19. FORESTS 2022. [DOI: 10.3390/f13050750] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The outbreak of the COVID-19 pandemic has impacted the tourism industry worldwide. This study examines the relationships among potential tourists’ emotional states, psychological resilience, and their travel intention to a national forest park in the context of COVID-19. It also investigates the moderating effect of gender. Kanas National Forest Park on the northwestern border of China was chosen as the research case. The survey questionnaires were administered both online and offline to collect data. A total of 492 valid questionnaires were collected (263 from online and 229 from offline) and analyzed in this study. Results demonstrate that visitors’ positive emotions have significant positive effects on their psychological resilience and travel intention. Yet, visitors’ negative emotions have significant negative effects on psychological resilience and travel intention. Moreover, psychological resilience partially mediates the relationship between emotional state and travel intention, indicating that visitors’ positive emotion and negative emotion can not only directly affect travel intention, but also indirectly affect travel intention through psychological resilience. The results of moderating effect analysis indicate that men and women are found to have differences in the experience of emotion, and women are more advised to foster positive emotions and psychological resilience. Visitors are advised to advocate more mutual encouragement, and tourism practitioners are recommended to provide tailored services to reduce travel anxiety. Findings provide implications on emotional regulation for tourists and crisis management strategies for nature-based tourism destinations.
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Economic Value of Recreation as an Ecosystem Service in Ayer Keroh Recreational Forest, Malaysia. SUSTAINABILITY 2022. [DOI: 10.3390/su14094935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Economic values of various ecosystem services of recreational forests are not well understood in many countries, including Malaysia. Policymakers and resource managers with a lack of such information may make inappropriate decisions to manage forest resources. To address the information problem, this study used data and estimated the economic value of recreation as a cultural ecosystem service of the Ayer Keroh Recreational Forest (AKRF) in Malaysia using the Travel Cost Method (TCM). The study estimated an economic value of USD 20,346/ha/year for cultural services, including recreation. These findings provide some useful information that might be needed for those involved in planning and management for the development of urban forest sites, especially in AKRF.
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Wang T, Chen X, Zheng X, Lu Y, Han F, Yang Z. Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:2044. [PMID: 35206233 PMCID: PMC8872140 DOI: 10.3390/ijerph19042044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 12/10/2022]
Abstract
The conservation of World Natural Heritage Sites has become a global concern. The identification of priority conservation areas can preserve the value of heritage sites while promoting sustainable development, which is important for balancing the conservation and development of heritage sites. This paper proposes an integrated framework for the identification of priority conservation areas for natural heritage sites based on landscape ecological risks (LERs) and ecosystem services (ESs), taking the Bogda heritage site in Xinjiang, China as a case study. The innovative approach combined the natural and cultural elements of natural heritage sites and included the following steps: (1) the LER index, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and questionnaire method were adopted to assess the LERs and ESs of Bogda heritage sites during 1990-2018; (2) ordered weighted averaging (OWA) was used to identify conservation priorities by weighing LERs and ESs; and (3) the optimal priority conservation area was determined by comparing the conservation efficiencies under different scenarios. The results revealed that the LER, carbon storage (CS), habitat quality (HQ), aesthetic value (AV), and recreational value (RV) showed significant spatiotemporal variation. The most suitable priority conservation area was located at the central forestlands and high-coverage grasslands, with conservation efficiencies of 1.16, 2.91, 1.96, 1.03, and 1.21 for LER, CS, HQ, AV, and RV, respectively. Our study demonstrated that integrating LERs and ESs is a comprehensive and effective approach to identifying conservation priorities for heritage sites. The results can provide decision support for the conservation of the Bogda heritage site and a methodological reference for identifying conservation priorities for natural heritage sites. Furthermore, this study is also an effective application of LERs and ESs in identifying priority conservation areas.
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Affiliation(s)
- Tian Wang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (T.W.); (X.C.); (Y.L.); (F.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China;
| | - Xiaodong Chen
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (T.W.); (X.C.); (Y.L.); (F.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China;
| | - Xin Zheng
- University of Chinese Academy of Sciences, Beijing 100049, China;
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yayan Lu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (T.W.); (X.C.); (Y.L.); (F.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China;
| | - Fang Han
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (T.W.); (X.C.); (Y.L.); (F.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China;
| | - Zhaoping Yang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (T.W.); (X.C.); (Y.L.); (F.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China;
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