基于GIS的郑州市森林康养旅游空间评价

GIS-based Evaluation of Tourism Space for Forest-based Health and Wellness in Zhengzhou City

摘要

【目的】分析郑州市森林康养旅游空间适宜性的分布特征和区域差异，为郑州市森林康养空间规划提供参考。【方法】采用GIS与AHP结合的方法，构建包含自然条件、生态条件、舒适度、区位条件和景观感知5个方面的森林康养旅游空间适宜性评价体系，对郑州市森林康养旅游空间适宜性进行综合评价。【结果】郑州市森林康养旅游空间适宜性整体呈西南高、东北低的分布特征，高适宜区主要集中于西南部山地和沿水系区域。森林资源并非是决定森林康养旅游空间适宜性的唯一因素，生态环境、游憩条件和区位条件等因素共同影响空间适宜性。郑州市森林康养旅游空间适宜性水平由低到高分为Ⅰ~Ⅳ级，整体以Ⅱ、Ⅲ级适宜区为主；Ⅲ、Ⅳ级适宜区分布零散，集中在西南部山区，且局部沿水系分布。【结论】郑州市森林康养旅游空间适宜性受自然条件、生态环境、区位条件等多因素共同影响。未来应统筹生态环境、游憩条件和区位条件等因素，结合多源数据，进一步完善评价方法，加强空间变化规律和游客需求的研究，为森林康养旅游规划提供科学支撑。

Abstract

【Objective】This study analyzes the distribution characteristics and regional differences in the tourism space suitability for forest-based health and wellness in Zhengzhou, aiming to provide a reference for spatial planning of forest-based health and wellness in Zhengzhou. 【Method】A tourism spatial suitability evaluation system for forest-based health and wellness is constructed by integrating GIS and AHP, which includes five aspects, i.e., natural conditions, ecological conditions, comfort, location conditions, and landscape perception, and a comprehensive evaluation is carried out for the spatial suitability for forest-based health and wellness tourism in Zhengzhou City. 【Result】The spatial suitability of forest-based health and wellness tourism in Zhengzhou City shows a distribution pattern featuring higher values in the southwest and lower values in the northeast. The highly suitable areas are mainly located in the southwestern mountainous areas as well as the areas along water systems. Forest resources are not the only determinants of spatial suitability for forest-based health and wellness tourism. The suitability is jointly determined by factors such as the ecological environment, recreational conditions, and location factors. The suitability in Zhengzhou City is classified from low to high as Class I-IV. The suitability areas of Class Ⅱ and Ⅲ dominate, while the suitability areas of Class III and IV exhibit a scattered distribution pattern, primarily concentrated in the southwestern mountainous areas and partially distributed along water systems. 【Conclusion】The suitability of tourism space for forest-based health and wellness in Zhengzhou is co-influenced by natural conditions, ecological environment and location factors. The future evaluation should integrate ecological environment, recreational conditions, and location factors and adopt multi-source data to improve the evaluation method and enhance the research on spatial change pattern and tourists' needs, with the aim of providing a scientific reference for the tourism planning of forest-based health and wellness.

关键词

森林康养 / 旅游空间 / GIS空间分析 / 适宜性评价

Key words

forest-based health and wellness / tourism space / GIS-based spatial analysis / suitability evaluation

参考文献

[1] ZHANG Z Y, WANG P, GAO Y, et al. Current development status of forest therapy in China[J]. Healthcare, 2020, 8(1): 61.

[2] 新华社. 党的二十大报告: 全面推进健康中国建设![J]. 卫生经济研究, 2022, 39(11): 26.

[3] 宋维明. 关于森林康养产业发展必然性与路径的思考[J]. 林业经济, 2020, 42(1): 3-8.

[4] 杨利萍, 孙浩捷, 黄力平, 等 . 森林康养研究概况[J]. 林业调查规划, 2018, 43(2): 161-166, 203.

[5] BAYAT M, BETTINGER P, MASTEALI S H, et al. Recreation potential assessment at tamarix forest reserves: a method based on multicriteria evaluation approach and landscape metrics[J]. Forests, 2023, 14(4): 705.

[6] SUÁREZ M, GARCÍA—NIETO A P, GÓMEZ—BAGGETTHUN E, et al. Renaturalisation and natural rewilding of the Manzanares river in Madrid, Spain: mapping recreation potential and actual use[J]. Urban Forestry & Urban Greening, 2024, 101: 128555.

[7] WEN C, ALBERT C, VON HAAREN C. Nature—based recreation for the elderly in urban areas: assessing opportunities and demand as planning support[J]. Ecological Processes, 2022, 11: 44.

[8] 苏静怡, 郭思淼, 胡童童, 等 . 甘肃省陇南市康县阳坝森林康养适宜性评价[J]. 园林, 2024, 41(2): 119-126.

[9] 叶薇. 基于PCA—FAHP模型的森林康养基地适宜性评价研究[D]. 恩施: 湖北民族大学, 2023.

[10] 王敬耀, 刘宁, 何淑君. 基于森林植被特征的森林康养基地适宜性评价[J]. 国土与自然资源研究, 2026(3): 57-61.

[11] 龚胜生, 潘稼佳, 伍昌友. 湖北省森林康养适宜性评价、区划及产品开发策略[J]. 经济地理, 2025, 45(7): 218-226.

[12] 陈文煜, 俞书涵, 江绪旺, 等 . 森林康养适宜性评价及分区研究: 以福建武夷山市为例[J]. 林业经济问题, 2025, 45(4): 372-379.

[13] YANG J, HUANG X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021, 13(8): 3907-3925.

[14] 刘楠, 魏云洁, 郑姚闽, 等 . 北京市森林康养旅游空间适宜性评价[J]. 地理科学进展, 2023, 42(8): 1573-1586.

[15] 王钰鑫, 陶文, 张砚婷, 等 . 武陵山区森林康养旅游空间适宜性评价及发展策略[J]. 湖北民族大学学报(自然科学版), 2025, 43(3): 440-445.

[16] 孙萍, 石玉琼. 基于GIS适宜性评价的太原市森林康养基地选址研究[J]. 林业经济问题, 2024, 44(2): 198-208.

[17] 倪树斌, 马超, 杨海龙, 等 . 北京山区崩塌、滑坡、泥石流灾害空间分布及其敏感性分析[J]. 北京林业大学学报, 2018, 40(6): 81-91.

[18] 张静静, 朱文博, 朱连奇, 等 . 基于栅格的豫西山区地形起伏特征及其对人口和经济的影响[J]. 地理学报, 2018, 73(6): 1093-1106.

[19] 王浩, 吴吉林, 龚磊, 等 . 武陵山片区生态系统服务供需耦合协调评价及其驱动因素分析[J]. 长江流域资源与环境, 2024, 33(1): 114-125.

[20] 赵英时. 遥感应用分析原理与方法: 第二版[M]. 北京: 科学出版社, 2013.

[21] 李俊英, 胡远满, 闫红伟, 等 . 基于景观视觉敏感度的棋盘山生态旅游适宜性评价[J]. 西北林学院学报, 2010, 25(5): 194-198.

[22] 朱学玲, 任健. 人体舒适度的分析与预报[J]. 气象与环境科学, 2011, 34(S1): 131-134.

[23] 徐双, 李飞雪, 张卢奔, 等 . 长沙市热力景观空间格局演变分析[J]. 生态学报, 2015, 35(11): 3743-3754.

[24] 陈荣, 张云路. 县域森林康养建设适宜性评价指标体系构建: 以三明市将乐县为例[J]. 中国城市林业, 2023, 21(3): 155-160.

[25] 何思笑, 张建国. 浙江省森林康养品牌资源空间分布特征及其影响因素[J]. 浙江农林大学学报, 2022, 39(1): 180-189.

[26] 李月桂, 安永刚, 冷文涛. 中国森林康养基地的空间布局及影响因素[J]. 中国城市林业, 2024, 22(3): 97-103.

[27] 王政, 杨霞. 森林康养空间分布特征及其影响因素研究: 以四川森林康养基地为例[J]. 林业资源管理, 2020(2): 146-153.

[28] 李巧玉, 陈嬝嬝, 余正玺, 等 . 贵州省森林康养资源空间分布特征及影响因素分析[J]. 西南林业大学学报(自然科学), 2023, 43(5): 175-182.