Dataset to study "Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity"

This dataset includes the raw data of a survey of 536 local residents along two rural-urban gradients around Bengaluru, India. The dataset sheet presents respondents' socio-demographic characteristics (village, village stratum, gender, age education, religion, length of residence, caste, occupation). It then displays Likert-scale answers, ranging from 1 ("not important" to 5 ("very important"), on agreement about the importance of water-filled and dry lakes (shown on photographs) for the provision of the respective ecosystem services and disservices, based on their livelihood needs and experiences. It then shows the answers to open questions on challenges and management options regarding lakes. The complete method is described in: Plieninger, T., Thapa, P., Bhaskar, D., Nagendra, H., Torralba, M., & Zoderer, B. M. (2022): Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity. Landscape and Urban Planning, in press.本数据集包含印度班加罗尔周边两条城乡梯度（rural-urban gradients）带的536名本地居民的调查原始数据。数据集表格呈现了受访者的社会人口统计学特征：所在村落、村落层级、性别、年龄、受教育程度、宗教信仰、居住时长、种姓、职业。随后展示了李克特量表（Likert-scale）作答结果，评分范围为1分（"完全不重要"）至5分（"极为重要"），内容为受访者基于自身生计需求与实践经历，对以照片形式呈现的积水湖泊与干涸湖泊在提供对应生态系统服务（ecosystem services）及其负向效应（ecosystem disservices）方面的重要性的认可度。此外，数据集还收录了受访者针对湖泊所面临的挑战与管理方案的开放式问题作答结果。完整研究方法详见：Plieninger, T., Thapa, P., Bhaskar, D., Nagendra, H., Torralba, M., & Zoderer, B. M. (2022): 《快速扩张特大城市周边蓝色基础设施（blue infrastructure）的生态系统服务认知解构》，《景观与城市规划》（Landscape and Urban Planning），即将刊印。