Wang Kai, Gan Chang, Ou Yan, Liu Hao Long
Tourism College of Hunan Normal University, Changsha 410081, China.
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Ying Yong Sheng Tai Xue Bao. 2019 Jan 20;30(1):266-276. doi: 10.13287/j.1001-9332.201901.020.
Low-carbon behavior of scenic spots has direct influence on coordinated and orderly development of eco-environment and socio-economic system in World Heritage Site. Five level-one indicators and 38 level-two indicators were respectively established to systematically measure the low-carbon behavioral performance (LCBP) of scenic spots in Zhangjiajie, the seat of World Natural Heritage. ANOVA and Bonferroni analysis were applied to compare the LCBP of scenic spots in different groups. The redundancy analysis and Monte Carlo permutation were used to figure out the main driving factors that affect scenic area’s LCBP. Results showed that 32 scenic spots’ LCBP was excellent in general, with a weighted mean value of 3.10. The group mean of perfor-mance in low-carbon design, daily energy conservation, water saving management, waste reduction and low-carbon awareness was 0.49, 0.74, 0.24, 1.51 and 0.11, separately. Huanglong Cave performed the best (4.193) and He Long’s Former Residence performed the worst (2.400) in the 32 scenic spots. The scores of 5A, 4A and 3A or no A scenic spots showed no significant difference in most low-carbon behavior indicators, only 11 indicators reflected significant difference among diffe-rent groups. Pressures from investors, administration committee, tourists and local government were main driving factors for low-carbon behavior of scenic spots.
景区的低碳行为对世界遗产地生态环境与社会经济系统的协调有序发展有着直接影响。分别设立了5个一级指标和38个二级指标,用以系统衡量世界自然遗产所在地张家界景区的低碳行为表现(LCBP)。运用方差分析和邦费罗尼分析来比较不同组景区的LCBP。采用冗余分析和蒙特卡洛置换法来找出影响景区LCBP的主要驱动因素。结果显示,32个景区的LCBP总体表现出色,加权平均值为3.10。低碳设计、日常节能、节水管理、减少废弃物和低碳意识方面的组均值分别为0.49、0.74、0.24、1.51和0.11。在这32个景区中,黄龙洞表现最佳(4.193),贺龙故居表现最差(2.400)。5A级、4A级和3A级或无等级景区在大多数低碳行为指标上得分无显著差异,仅有11个指标在不同组间反映出显著差异。来自投资者、管理委员会、游客和当地政府的压力是景区低碳行为的主要驱动因素。