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Analysis of Landscape Patterns Changes and Driving Factors of the Guangdong Chaoan Fenghuangdancong Tea Cultural System in China

Author

Listed:
  • Xuan Guo

    (Institute of Geographic Science and Natural Resources Research, CAS, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qingwen Min

    (Institute of Geographic Science and Natural Resources Research, CAS, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Guangdong Chaoan Fenghuangdancong Tea (GCFT) Cultural System is the second batch of China’s Nationally Important Agricultural Heritage Systems (China-NIAHS), identified by the Ministry of Agriculture and Rural Affairs in 2014 as having rich biodiversity, valuable knowledge of indigenous technology, and unique ecological and cultural landscape. Under the dual background of rapid urbanization and agricultural industry structure transformation, China-NIAHS-GCFT is facing the reality of structural changes in land use/cover and landscape patterns. Therefore, it is important to systematically portray land use/land cover (LULC) changes in China-NIAHS-GCFT sites and clarify the spatial pattern differences due to the impact of China-NIAHS-GCFT recognition on tea garden areas and the tea industry. This study was conducted in Chaozhou City, Guangdong Province, where GCFT is located, to compare and analyze the LULC characteristics of the core area of the heritage site (Chaoan, Chaozhou) and the control area (Raoping, Chaozhou) before and after recognition. We assessed the spatial variation in tea garden area and the intrinsic driving mechanisms of the change by integrating social factors, such as China-NIAHS-GCFT recognition, and natural factors, such as elevation, precipitation, and temperature. The results show that: (1) Around 2010, the change in LULC of the core and control areas progressed from slight changes to dramatic changes, mainly shifting from natural to anthropogenic landscapes. The decrease in the cropland and grassland and the increase in built-up land in the core area were obviously larger than those in the control area. (2) Before and after GCFT was recognized as China-NIAHS in 2014, the changing pattern of tea garden shifts from “basically stable and small growth” to a trend of “substantial expansion”. Specifically, the recognition brought about tea garden area expansion and tea industry development in the core area, especially Fenghuang. Meanwhile, a radiating effect extends to the control area, especially the townships adjacent to Fenghuang. (3) Similar natural climatic conditions of temperature and precipitation in the two regions provide a basic growing environment for tea trees; however, elevation was the key natural resource condition affecting the distribution of tea gardens. The elevation conditions of the core area are more suitable for growth of tea trees compared to the control area.

Suggested Citation

  • Xuan Guo & Qingwen Min, 2023. "Analysis of Landscape Patterns Changes and Driving Factors of the Guangdong Chaoan Fenghuangdancong Tea Cultural System in China," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5560-:d:1103878
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    References listed on IDEAS

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    Cited by:

    1. Fei Ju & Rui Yang & Chun Yang, 2025. "Analysis of Spatiotemporal Dynamics and Driving Factors of China’s Nationally Important Agricultural Heritage Systems," Agriculture, MDPI, vol. 15(2), pages 1-36, January.
    2. Jiaqian Wu & Chunyang Li & Tong Wang, 2025. "Optimizing Landscape Patterns for Tea Plantation Agroecosystems: A Case Study of an Important Agricultural Heritage System in Enshi, China," Land, MDPI, vol. 14(7), pages 1-25, July.
    3. Chenmingyang Jiang & Xinyu Du & Jun Cai & Hao Li & Qibing Chen, 2024. "Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area," Land, MDPI, vol. 13(12), pages 1-22, December.
    4. Wen Li & Jianwei Geng & Jingling Bao & Wenxiong Lin & Zeyan Wu & Shuisheng Fan, 2023. "Analysis of Spatial and Temporal Variations in Ecosystem Service Functions and Drivers in Anxi County Based on the InVEST Model," Sustainability, MDPI, vol. 15(13), pages 1-16, June.

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