Volunteer-collected water quality data can be used for science and management

IF 1.1 4区 环境科学与生态学 Q4 LIMNOLOGY
M. Hoyer, D. Canfield
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引用次数: 9

Abstract

Abstract Hoyer, MV, Canfield, DE Jr. 2021. Volunteer-collected water quality data can be used for science and management. Lake Reserv Manage. 37:235–245. This study addresses concerns that comparison studies between professional and volunteer-collected data have been of limited scope, conducted under experimental conditions, and that results may not be applicable to existing large-scale, long-term volunteer monitoring datasets. Historical (2008 to 2019) phosphorus, nitrogen, chlorophyll, and Secchi data collected by 5 Florida organizations charged with monitoring water quality were compared with Florida LAKEWATCH volunteer-collected data from 216 lakes. The state organizations had National Environmental Laboratory Accreditation Conference (NELAC)-certified laboratories and LAKEWATCH used modified procedures needed to accommodate a volunteer program. The lakes are located in central Florida, range in trophic status from oligotrophic to hypereutrophic, and provided approximately 650 independent overlapping annual geometric mean pairs for comparison. Paired t-tests comparing logarithmic transformed annual geometric mean data pooled from all professional organizations with similar overlapping volunteer-collected data showed significant (P < 0.05) differences for phosphorus, nitrogen, and Secchi depth but not for chlorophyll. The significant differences when reported arithmetically were only 1.1 µg/L, −1.1 µg/L, and 0.1 m, respectively. Regression analyses on the same data showed strong significant (P < 0.05) relations with coefficient of determinations (R2 ) of 0.91, 0.98, 0.79, and 0.78 for phosphorus, nitrogen, chlorophyll, and Secchi depth, respectively. Slopes for each paired regression were not significantly different from 1. These results demonstrate that volunteer-collected data were equivalent to data collected professionally, that the quality of volunteer data can be similar to that produced by NELAC-certified laboratories, and thus that data are adequate for both research and management.
志愿者收集的水质数据可用于科学和管理
Hoyer, MV, Canfield, DE Jr., 2021。志愿者收集的水质数据可用于科学和管理。湖泊保护区管理。37:35 - 245。本研究解决了一些问题,即专业人员和志愿者收集的数据之间的比较研究范围有限,在实验条件下进行,结果可能不适用于现有的大规模、长期志愿者监测数据集。负责监测水质的佛罗里达州5个组织收集的历史(2008年至2019年)磷、氮、叶绿素和塞基数据与佛罗里达州湖泊观察组织志愿者收集的216个湖泊的数据进行了比较。这些州立组织拥有国家环境实验室认证会议(NELAC)认证的实验室,而LAKEWATCH使用了必要的修改程序来适应志愿者项目。这些湖泊位于佛罗里达州中部,营养状况从贫营养到富营养不等,并提供了大约650个独立重叠的年度几何平均对进行比较。配对t检验比较了来自所有专业组织的对数转换的年度几何平均数据与相似重叠的志愿者收集的数据,结果显示,磷、氮和Secchi深度的差异显著(P < 0.05),但叶绿素的差异不显著。当算术报告时,显著差异分别仅为1.1µg/L,−1.1µg/L和0.1 m。同一资料的回归分析显示,磷、氮、叶绿素和Secchi深度的决定系数(R2)分别为0.91、0.98、0.79和0.78,相关性显著(P < 0.05)。各配对回归的斜率与1无显著差异。这些结果表明,志愿人员收集的数据与专业人员收集的数据相当,志愿人员数据的质量可以与nelac认证的实验室产生的数据相似,因此数据对于研究和管理都是足够的。
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来源期刊
Lake and Reservoir Management
Lake and Reservoir Management 环境科学-海洋与淡水生物学
自引率
6.70%
发文量
22
期刊介绍: Lake and Reservoir Management (LRM) publishes original, previously unpublished studies relevant to lake and reservoir management. Papers address the management of lakes and reservoirs, their watersheds and tributaries, along with the limnology and ecology needed for sound management of these systems. Case studies that advance the science of lake management or confirm important management concepts are appropriate as long as there is clearly described management significance. Papers on economic, social, regulatory and policy aspects of lake management are also welcome with appropriate supporting data and management implications. Literature syntheses and papers developing a conceptual foundation of lake and watershed ecology will be considered for publication, but there needs to be clear emphasis on management implications. Modeling papers will be considered where the model is properly verified but it is also highly preferable that management based on the model has been taken and results have been documented. Application of known models to yet another system without a clear advance in resultant management are unlikely to be accepted. Shorter notes that convey important early results of long-term studies or provide data relating to causative agents or management approaches that warrant further study are acceptable even if the story is not yet complete. All submissions are subject to peer review to assure relevance and reliability for management application.
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