EAGER: Collaborative Research: Role of Citizen Science in Watershed Hydrology Research: Relationships between Volunteer Motivations, Data Quantity and Quality, and Decision-Making

EAGER：协作研究：公民科学在流域水文学研究中的作用：志愿者动机、数据数量和质量以及决策之间的关系

• 批准号: 1644860
• 负责人: Alex Mayer
• 金额: $ 5.28万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-15 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1644860&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Role; Citizen

1644860/1644862Mayer/JonesThere is growing interest in using citizen science projects, public participation in scientific research, to measure hydrologic parameters. Hydrologic variability requires repeated measurements over long periods of time and over a wide range of locations. Citizen science could be a cost-effective approach for hydrologic monitoring, but concerns about data reliability remain; this reliability includes aspects of data quality and quantity, where quantity refers to both temporal frequency and spatial distribution. The overall goal of this project is to advance scientific understanding of the linkages between citizen science project design, the quantity and quality of hydrologic data collected, and the contribution of this method of scientific research to informing payments for watershed services program design and support.This project is innovative in that it explores the impact of citizen science data reliability "end-to-end" including, recruitment and retention of citizen science volunteers, citizen science data collection, incorporation of citizen science data in engineering tools, and informing policy design and decision-making. The project objectives are: (1) to determine the factors affecting retention in citizen science programs, (2) to test the effect that norm-based messaging can have on the quantity and quality of data collected, and, (3) to evaluate the impact of the quantity and quality of citizen science data collected on hydrologic model reliability, corresponding payments for watershed services program decision-making, and support for payments for watershed services programs. These objectives will be met by: (1) recruiting citizen science volunteers in two watersheds in Veracruz, Mexico with ongoing hydrologic data collection and payments for watershed services programs; (2) implementing an experimental design to test the effect of norm messaging by randomly allocating "nudges" to citizen science volunteers; (3) simultaneously collecting rainfall and stream discharge data with citizen science volunteers and accepted hydrologic science protocols; (4) estimating the precision and accuracy of the citizen science data against the data collected with the accepted scientific protocols; (5) calibrating a watershed hydrology model with and without the citizen science data, including the effects of data precision and accuracy; and, (6) determining priority areas for payments for watershed services with and without the citizen science data. Mexico has one of the world?s longest running payments for watershed services programs. The National Forest Commission, responsible for payments for watershed services programs in Mexico, plans to use citizen science volunteers for monitoring hydrologic outcomes of local payments for watershed services programs. Thus, the proposed work could improve payments for watershed services program design and monitoring and evaluation protocols, especially if there are indirect benefits of citizen science participation through improved knowledge, behaviors, and support of payments for watershed services programs. The PIs plan to generate several refereed papers and presentations from this work on the social science, biophysical and integrated aspects of this work. Additionally, this project will support training of two PhD students contributing to at least two dissertations.

1644860/1644862 Mayer/Jones利用公民科学项目、公众参与科学研究来测量水文参数的兴趣越来越大。水文变化需要在很长一段时间内和广泛的地点进行重复测量。公民科学可能是水文监测的一种具有成本效益的方法，但对数据可靠性的关切仍然存在;这种可靠性包括数据质量和数量方面，其中数量是指时间频率和空间分布。该项目的总体目标是促进对公民科学项目设计、收集的水文数据的数量和质量以及这种科学研究方法对流域服务计划设计和支持的信息支付的贡献之间联系的科学理解。该项目的创新之处在于它探索了公民科学数据可靠性“端到端”的影响，包括：招募和保留公民科学志愿者，公民科学数据收集，将公民科学数据纳入工程工具，并为政策设计和决策提供信息。该项目的目标是：（1）确定影响公民科学计划保留的因素，（2）测试基于规范的信息传递对收集的数据的数量和质量的影响，（3）评估收集的公民科学数据的数量和质量对水文模型可靠性的影响，相应的流域服务计划决策支付，并支持流域服务项目的付款。这些目标将通过以下方式实现：（1）在墨西哥韦拉克鲁斯州的两个流域招募公民科学志愿者，持续收集水文数据，并为流域服务项目付款;（2）实施一项实验设计，通过随机分配“轻推”给公民科学志愿者，测试规范信息传递的效果;（3）与公民科学志愿者和公认的水文科学协议同时收集降雨和河流流量数据;（4）根据公认的科学协议收集的数据，估计公民科学数据的精确度和准确度;（5）在有无公民科学数据的情况下，对流域水文模型进行了校准，包括数据精度和准确度的影响;（6）在有无公民科学数据的情况下，确定流域服务支付的优先领域。墨西哥有世界之一？为流域服务项目支付的时间最长。国家森林委员会，负责支付流域服务方案在墨西哥，计划使用公民科学志愿者监测水文结果的地方支付流域服务方案。因此，拟议的工作可以改善流域服务计划的设计和监测和评估协议的支付，特别是如果有通过改善知识，行为和支持支付流域服务计划的公民科学参与的间接利益。PI计划从这项工作的社会科学，生物物理和综合方面的工作中产生几篇参考论文和演讲。此外，该项目将支持培训两名博士生，至少撰写两篇论文。