Tourism resources and carrying capacity of scenic tourism areas based on forest ecological environment

Sun, Qiong; Zhang, Naicong; Zheng, Li; Liao, Bin

doi:10.2989/20702620.2020.1733766

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…Combined with relevant studies [63][64][65][66], since the vegetation in the university town is arranged by each university according to the campus pattern and the needs of science popularization, the normalized vegetation index (NDVI), a method of calculating the vegetation coverage degree by combining the red and near-infrared bands according to the spectral characteristics of vegetation, was used to calculate the vegetation distribution of Guangzhou University Town and to assess the greening degree of each science popularization tourist site.…”

Section: Environmental Levelmentioning

confidence: 99%

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Wei

et al. 2022

Sustainability

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With the advent of the knowledge economy, universities have increasingly important roles in cities. However, some universities and cities are still fragmented, and popular science tourism is one way to solve this. The purposes and destinations of popular science tourism differ from those of traditional tourism. Consequently, their resources have a high development value for ecological and human resources. However, research on popular science tourism in China is still in its infancy. Here, we studied popular science tourism from a geographical perspective, selecting scale capacity, environmental level, resource level, location, and service conditions as factors to construct a judgment matrix to calculate the weights of indicators at various levels. Analytic hierarchy was used to build a popular science tourism evaluation system for Guangzhou University Town as a case study and the suitability of each tourist destination in the university town was evaluated. The results show that west Guangzhou University Town is more suitable for popular science tourism than the east, which possesses more value for popular science tourism development. Finally, we give recommendations for developing popular science tourism in Guangzhou University Town.

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Section: Environmental Levelmentioning

confidence: 99%

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Wei

et al. 2022

Sustainability

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“…This study found that water resources were the dominant factor affecting the ECC. Currently, global human water use exceeds sustainable levels, especially in arid and semi-arid regions [71][72][73][74]. Vegetation is ecologically important for maintaining the stability of ecosystems in these areas, but is greatly affected by water accessibility.…”

Section: Enlightenment Of Sustainable Development In Yrbsmentioning

confidence: 99%

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

Zhu

Mei

et al. 2022

Land

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Ecological carrying capacity (ECC), which requires simple scientific evaluation methods, is an important evaluation index for assessing the sustainability of ecosystems. We integrate an innovative research method. Geographic information systems (GIS) and remote sensing (RS) were used to evaluate the ECC of the Yellow River Basin in Shaanxi (YRBS) and to identify the underlying factors that influence it. A calculation method that combines RS and GIS data to estimate ECC based on net primary productivity (NPP) was established. The Carnegie–Ames–Stanford approach model was applied to estimate NPP. The NPP of each land type was used as an indicator to determine the yield factors. The ECC of the watershed was calculated with the carrying capacities of each land-use type. The geographical detector model was used to study the influencing factors of ECC, which provides a scientific basis for the formulation of ecological management policies in YRBS. The results show that from 2000 to 2010, it first decreased by 45.46%, and then increased by 37.06% in 2020, an overall decrease of 13.49 × 105 wha in 20 years. Precipitation is the dominant factor that affects ECC, while the impact of human activities on ECC was significantly enhanced during the study period. The developed method based on RS data serves as a reference for ecological evaluation in other similar regions.

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“…Así mismo, las investigaciones realizadas por Sun et al (2020) y Martorrel (2019), concluyen que es a través de los instrumentos de planeación territorial que se establece la capacidad de carga turística en función de los recursos, infraestructuras y condiciones estructurales, para no exceder las posibilidades administrativas y territoriales en la oferta de servicios que se realiza a los turistas.…”

Section: Capacidad De Carga Turística Y Territoriounclassified

Análisis de la capacidad de carga turística como estrategia para la gestión de un aviturismo sostenible

Betancur-Rodríguez

Mejía-Córdoba

Gamarra-Pineda

et al. 2022

gacien

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Objetivo. Determinar la capacidad de carga turística mediante el análisis del concepto vigente, identificando las proposiciones necesarias y explicando el significado suficiente para la gestión estratégica del aviturismo sostenible y sustentable en Colombia, que cuenta con un potencial importante de diversificación. Métodos. Se aplicó la metodología de análisis documental y la técnica del rastreo, indización, anotación, extracción, organización traducción y sistematización de reseñas de artículos y documentos electrónicos, estableciendo las convergencias y divergencias de los constructos teóricos y metodológicos asumidos en los modos de comprender, describir y evaluar la capacidad de carga turística del aviturismo. Resultados. En la literatura revisada se indentifican los enfoques teóricos y conceptuales más referenciados con respecto a la capacidad de carga turística aplicada al aviturismo, así como se indican algunos de los alcances y limitaciones de los modelos metodológicos utilizados y se realiza una aproximación al análisis de este método desde una perspectiva multidisciplinar. Conclusión. Se concluye con la determinación de los elementos claves y esenciales que, deben estar presentes en la capacidad de carga turística como una herramienta para la gestión de un aviturismo sostenible.

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Tourism resources and carrying capacity of scenic tourism areas based on forest ecological environment

Cited by 8 publications

References 11 publications

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

Análisis de la capacidad de carga turística como estrategia para la gestión de un aviturismo sostenible

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