Wulingyuan Scenic and Historic Interest Area

World Heritage Research

Discover scientific research and academic studies that deepen our understanding of Wulingyuan Scenic and Historic Interest Area from its history and significance to its conservation, management, and contemporary challenges.

• The social and environmental impacts on local residents from tourist accommodation near protected areas

  Tourism, while beneficial for local economic development and living conditions, can exacerbate social inequities and environmental challenges near protected areas. A study on Longweiba village within China's Wulingyuan Historic and Scenic Area reveals that the presence of boutique rural hotels and bed-and-breakfast enterprises, intended to offset conservation impacts, has led to significant concerns among residents, including unfair regulations, inconsistent governance, and environmental degradation such as sewage pollution and water shortages. The research, employing ethnographic methods and interviews with 30 residents and a government official, highlights that poor planning, inequitable policies, and inconsistent enforcement have worsened these issues. The findings underscore the need for better governance, inclusive community engagement, and clear policies to ensure sustainable and equitable tourism development near protected areas.

  Zhang, Y., Hanna, P., & Vanclay, F. (2026). The social and environmental impacts on local residents from tourist accommodation near protected areas. Environmental Management, 76(3). https://doi.org/10.1007/s00267-026-02385-5

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• Integrating World Natural Heritage Conservation into the General Planning of China’s Scenic and Historic Areas

  A new coordination framework successfully bridges the gap between China's Scenic and Historic Areas (SHAs) general planning and World Natural Heritage (WNH) conservation requirements, enhancing the protection of Outstanding Universal Value (OUV). The study identifies structural misalignments in current SHA practices—such as underemphasis on OUV attributes, zoning prioritizing aesthetics over ecological integrity, and marginalization of local communities—and proposes a multi-level resource evaluation system, coordinated zoning approach, and community-inclusive strategies. Applied to Wulingyuan, this framework demonstrated practical effectiveness by clarifying conservation priorities, aligning spatial boundaries with WNH management objectives, and integrating OUV interpretation into sustainable tourism and livelihoods. The findings provide an empirical model for China's protected area reform, advancing a value-based coordination approach that harmonizes international conservation standards with domestic landscape traditions.

  HAN, F., & CHENG, A. (2026). Integrating World Natural Heritage Conservation into the General Planning of China’s Scenic and Historic Areas. Landscape Architecture, 33(4), 62–71. https://doi.org/10.3724/j.fjyl.la20250405

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• Forestry Tourism Resource Carrying Capacity Prediction Model Based on Multi-Source Data Algorithm

  A novel prediction model for forestry tourism resource carrying capacity, integrating multi-source data fusion with advanced machine learning techniques, demonstrates exceptional accuracy and stability. The framework combines a modal-level multi-head cross-attention mechanism with a GAT-Transformer model to adaptively weigh and fuse heterogeneous data, suppressing noise and capturing long-term temporal dependencies. Tested on two years of multi-source observation data from Wulingyuan National Forest Park, the model excels in temporal scale adaptation, spatial generalization, and resilience against missing data and noise. Its lightweight structure ensures low inference latency, balancing prediction accuracy with engineering practicality.

  Ma, Y., & Geng, Y. (2026). Forestry Tourism Resource Carrying Capacity Prediction Model Based on Multi-Source Data Algorithm. Forests, 17(5), 534. https://doi.org/10.3390/f17050534

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• Effects of the epidemic and obstacle factors on the evolution of livelihood resilience of scenic farm households: a case study of the Wulingyuan scenic area, China

  A study on the Wulingyuan Scenic and Historic Interest Area reveals that COVID-19 significantly impacted the livelihood resilience of scenic farm households, with resilience peaking during normal tourism (2019) at 0.449, dipping during epidemic disruption (2021) to 0.395, and slightly recovering in 2023 to 0.415. The research analyzed data from 364 farm households across five villages using an index system evaluating buffering, learning, and self-organizing capacities, alongside the obstacle degree model. Key factors influencing resilience included per capita forest land area, skill training opportunities, borrowing chances, and migrant work or entrepreneurship. Findings highlight imbalanced resilience among different livelihood strategies and underscore the need for diversified approaches to sustain rural development amid external disruptions.

  Wu, J., Liu, S., Xue, K., Zuo, J., Li, L., & Guo, D. (2025). Effects of the epidemic and obstacle factors on the evolution of livelihood resilience of scenic farm households: a case study of the Wulingyuan scenic area, China. Frontiers in Sustainable Food Systems, 9. https://doi.org/10.3389/fsufs.2025.1527529

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• Evolutionary Patterns and Influencing Factors of Livelihood Resilience in Tourism-Dependent Communities Affected by an Epidemic: An Empirical Study in the Wulingyuan Scenic Area, China

  Livelihood resilience in tourism-dependent communities within the Wulingyuan Scenic and Historic Interest Area, China, showed moderate overall stability despite significant disruptions caused by the COVID-19 pandemic. A study analyzing 365 households across five towns revealed a 6.38% decline in resilience during the epidemic disruption stage (2020–2022), followed by a 4.54% recovery post-2022. Key drivers of resilience included increased material capital, improved organizational management, and proactive attitudes toward livelihood challenges, while constraints such as reduced tourist numbers, inefficient ecotourism management, and limited financial resources hindered progress. The research highlights the importance of interactive pathways—buffering, adaptation, and transformation capabilities—in enhancing resilience under exogenous shocks like pandemics.

  Wu, J., Cao, Q., Ouyang, W., Chen, B., Su, Y., Xie, W., & Liu, S. (2025). Evolutionary Patterns and Influencing Factors of Livelihood Resilience in Tourism-Dependent Communities Affected by an Epidemic: An Empirical Study in the Wulingyuan Scenic Area, China. Sustainability, 17(7), 2937. https://doi.org/10.3390/su17072937

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• The social impacts of protected areas on local communities

  Governance structures in protected areas significantly influence social impacts on local communities, shaping land use policies, economic opportunities, and power dynamics. A study of the Wulingyuan World Heritage Site and the Giant Panda National Park reveals that while tourism-driven economic growth is promoted, it often fails to improve community well-being due to inequitable benefit-sharing or restrictive management policies. Local concerns about fairness, empowerment, and livelihoods persist, particularly with strict housing regulations and land acquisition actions. Additionally, the loss of cultural identity and intergenerational knowledge transfer in communities surrounding these areas has been overlooked, further complicating conservation efforts. The research employed a mixed-methods approach, integrating policy analysis, surveys, and interviews, to highlight the need for fair and inclusive governance, effective community participation, and equitable benefit-sharing mechanisms to balance ecological conservation with community well-being.

  Zhang, Y. The social impacts of protected areas on local communities. https://doi.org/10.33612/diss.1324210509

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• Research on the evolution and influencing factors of the spatial form of typical tourist towns: a case study of Wulingyuan district, China

  Urban expansion in Wulingyuan, a UNESCO Natural World Heritage Site, has followed distinct spatial and temporal patterns driven by urbanization, tourism, and policy factors. Between 2000 and 2022, the district experienced four phases of growth, with the period from 2015 to 2022 marking peak expansion. Expansion primarily occurred in a belt-like form, predominantly toward the southwest and northeast, while other directions were constrained by terrain and heritage protection measures. The study reveals a 'V'-shaped change in urban compactness and a declining fractal dimension, indicating shifts from edge-dominated to internal infilling expansion patterns. Policy factors, while not directly driving growth, shaped its direction and scale through guidance and constraints. These findings propose a conservation-oriented development (COD) model for heritage cities facing ecologically sensitive tourism pressures.

  Long, T., Luo, B., Wu, J., Yang, J., & Wang, Y. (2025). Research on the evolution and influencing factors of the spatial form of typical tourist towns: a case study of Wulingyuan district, China. Frontiers in Environmental Science, 13. https://doi.org/10.3389/fenvs.2025.1588318

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