Citizen science datasets reveal drivers of spatial and temporal variation for anthropogenic litter on Great Lakes beaches

Vincent, Anna; Drag, Nate; Lyandres, Olga; Neville, Sarah; Hoellein, Timothy J.

doi:10.1016/j.scitotenv.2016.10.113

Cited by 36 publications

(28 citation statements)

References 29 publications

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“…These types are minor contributors to beach litter due to lower offshore activities in the Great Lakes relative to the oceans. In particular, the high relative abundance of smoking-related and food-related AL points to beach visitors as the primary source [7,22,23]. Lastly, the positive correlation between population density and AL density support the local origins of AL on Great Lakes beaches [7].…”

Section: Introductionmentioning

confidence: 83%

“…Similarly, Zbyszewski et al [15] attributed the accumulation of small plastic AL at predictable sites on Great Lakes beaches via storms. At smaller scales, Vincent et al [23] found greater abundance of AL near beach piers than elsewhere (near an urban beach in Chicago), and concluded the sources were littering by beach-goers and the pier acting as an AL retention site. Together, these data illustrate that natural processes and human behavior drive AL accumulations on beaches, and the spatial and temporal variation in abundance of AL is a dynamic component of beach ecosystems.…”

Section: Introductionmentioning

confidence: 99%

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Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

2020

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Anthropogenic litter (i.e., trash, AL) on beaches has negative ecological and economic impacts. Beach AL is likely moved together with coarse particulate organic matter (CPOM, algae, leaves), but no previous studies have assessed AL and CPOM co-distribution. We measured AL and CPOM on four urban beaches in Chicago, Illinois, USA, along two transect types (pier-adjacent, non-pier adjacent) in which each has three habitats (upland, beach, strand line). As expected, AL and CPOM density were positively related across all transects. AL and CPOM were significantly higher adjacent to piers, and variable among habitats. Wood, leaves, and smoking-related AL were most abundant in beach and upland zones while glass and algal detritus were abundant at the strandline. Overall, AL and CPOM show ‘patchy’ distribution attributed to wind and wave movement toward accumulation sites. Beach CPOM is a hot spot of biological activity (e.g., microbes, invertebrates, birds). Therefore, mixing of AL and CPOM suggests organisms may be more likely to encounter AL in mixed accumulations. Efforts to reduce the abundance and biological impacts of beach AL will benefit from emphasizing organic matter accumulation sites.

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Section: Introductionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

2020

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“…Moreover, data from another citizen science driven wet/dry mapping program in Europe have been used to study intermittent river ecology (Datry et al 2016). Thus, these wet/dry mapping programs are part of a growing trend of relying on citizen scientists to collect freshwater monitoring data (Clavero et al 2017, Lévesque et al 2017, Vincent et al 2017. We used citizen science data in our study to find that landscape intermittency indices produced by wet/dry mapping data can be predicted by streamflow metrics derived from discharge data collected on the same river.…”

Section: Role Of Citizen Science In This Projectmentioning

confidence: 99%

Citizen scientists document long-term streamflow declines in intermittent rivers of the desert southwest, USA

Allen¹,

Kopp²,

Costigan³

et al. 2019

Freshwater Science

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Intermittent rivers are spatially dynamic, expanding and contracting in response to changes in water availability, but studies that explicitly examine spatial drying patterns are scarce. We used long-term data produced by citizen scientists to map wet and dry reaches of 3 different river systems to investigate mechanisms producing temporal variation in drying patterns. We quantified the total wetted river length in each survey, and calculated ecologically scaled landscape indices that indicate the carrying capacity (population size) and habitat connectivity of large and small fish metapopulations in these systems. We found that the spatial extent of perennial water decreased over the study period in 2 of the 3 study rivers: ∼26% in the Agua Fria River from 2008 to 2016, and ∼14% in Cienega Creek from 2006 to 2016. We also observed an ∼8% decline in habitat connectivity for large fish in the Agua Fria River. We used multivariate structural equation models to infer causal relationships between spatial drying patterns and temperature, precipitation, streamflow, and drought conditions. These models explained 85% of year-to-year variation in the total length of wet reaches, and 63 and 55% of year-to-year variation in habitat connectivity for large and small fish, respectively. With the US Southwest shifting to an even more arid climate, our results suggest that this may reduce habitat connectivity of fish populations in this region.

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“…Citizens' role in some of these project is, for example: -Recognition of images (e.g. taken with robot boat) to verify whether the wild life exists or not in the water (BrooklynAtlantis, 2012); -Water sample collection for localization of clean water habitats in urban landscapes (McGoff, et al, 2017); -Micro and macroscale nutrient concentration monitoring (Loiselle, et al, 2016;Yuchao, et al, 2017); -Quantification of anthropogenic litter on lake beaches (Vincent, et al, 2017); -Water turbidity and water clarity monitoring [ (Leeuw & Boss, 2018); (Seafarers, et al, 2017)].…”

Section: Figure 2: Number Of Published Papers Related To Water Qualitmentioning

confidence: 99%

Citizen Science for Water Quality Monitoring Applying Foss

Jovanovic¹,

Carrión²,

Brovelli³

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Citizen science is an efficient tool for data collection for scientific projects. In the framework of SIMILE Interreg Italy-Switzerland project, the citizen’s contribution to monitor the quality of lakes water has been envisaged. In the initial phase of this research, state of art of citizen science and water quality monitoring was investigated. The analysis of past and current projects, governed by different organizations and communities, pointed out a variety of tasks that can be accomplished by citizens. In these studies, authors stressed suitability of smartphones for the fulfilment of various assignments given to citizens. Due to that, in this research, different smartphone applications for water quality monitoring were tested and analyzed. Despite the fact that many applications for water quality monitoring are freely available, none of them is open source. Hence, this paper is proposing the design of a new application, for the purposes of SIMILE project, that will be free and open source, addressing not just users but also developers giving them a possibility for customization and improvement.</p>

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Citizen science datasets reveal drivers of spatial and temporal variation for anthropogenic litter on Great Lakes beaches

Cited by 36 publications

References 29 publications

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

Citizen scientists document long-term streamflow declines in intermittent rivers of the desert southwest, USA

Citizen Science for Water Quality Monitoring Applying Foss

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