Mapping Plastic Pollution

Inputs and Hotspots of Plastic Waste along the Coastline and Marine Protected Areas (MPAs) in San Diego County, California (USA)

Meet Our Data Mapping Team!

Data Team Participants  Scripps-Rady Ocean Plastic Pollution Challenge 2021 : Fadwa Bouhedda, Patricia Clark, Pilar Garcia, Jonathan Goodmacher, Julie Hopper, Adam Mihalik, William Quinn, Sara-Jeanne Royer, and Cleo Stratmann

Introduction & Take-Aways

Here, we analyzed and mapped data on plastic pollution and related mitigation efforts in areas adjacent to and inside of the San Diego MPAs in the Pacific Ocean.

We found two hotspots of plastic waste in the San Diego region:

(1) Areas visited by high numbers of tourists and special events

(2) River outlets from large rivers running through urban areas

Mitigation efforts in these areas could prevent further and significant dispersal of plastic into the environment, including in and around MPAs. We analyzed the effectiveness of some of these mitigation efforts, such as plastic bag bans, which we found reduced the amount of bags found over time. Other bans should show similar results in preempting plastic waste pollution.


Sources and Pathways of Plastic Waste

Sources, pathways & interventions of plastic waste in MPAs & surrounding areas in San Diego Co.Fig: P. Garcia and C. Stratmann


Sources: Ocean Currents

  • While ocean currents and gyres circulate ocean waters, they also draw in the plastic waste that travels towards coastal shorelines. Remote locations far from direct human influence are linked by plastic traveling from thousands of miles away.
    • Here, we highlight pathways related to oceanic currents in which plastics can find their way to the San Diego County coastline.
Ocean currents and marine-based sources of plastic pollution

Left: Heat analysis highlighting the dense/sparse amount of trash found circulating within the Pacific Ocean (Left-Data: Erikson et al, 2014, Fig: F. Bouhedda). Right: North Pacific Ocean Currents and CA coast (NOAA Marine Debris)

Wildlife can mistake plastic for food: Here a sea gull is taking a snack out of a piece of foam packaging on Playa Del Rey Beach, Los Angeles (USA) during a beach cleanup led by Dr. Julie Hopper (USC) in 2020. Photo: Maurice Roper


Plastic & Marine Protected Areas (MPAs)

While plastic pollution impairs marine ecosystems on various levels, special attention and care are needed to mitigate negative impacts in MPAs, which are especially sensitive and valuable ecosystems in the marine environment. San Diego county has 11 MPAs.

Map displays 11 MPAs within San Diego County (labeled 1-11 with a color gradient by area), County’s jurisdictions, & major rivers & streams. Our work compiled and analyzed data in interactive maps to help understand the complex interactions among stakeholder and policy actions as well as the ocean plastic pollution problem in MPAs and the surrounding coast. The impact made by interventions & the identification of missing data or actions are valuable aspects to advance effective policy and management decisions towards supporting MPAs and to inform the public. Map Credit: C. Stratmann

Data Acquisition & Mapping Methods

MPAs in San Diego are exposed to plastic waste pollution via multiple pathways. However, data on plastic waste is scarce, particularly regarding that near and in MPAs. Our plastic waste data consists of two coastal cleanup data portals which provide a snapshot of the plastic waste problem in San Diego County. In addition, data on riverine plastic fluxes, ecological and geological coastal features, and plastic pollution interventions were gathered for our analyses.

Our workflow utilized data from two portals: 1) the International Coastal Cleanup Events (CoastalCleanup: https://www.coastalcleanupdata.org/) & 2) the Marine Debris Tracker App (MarineDebris: https://debristracker.org/). The CoastalCleanup data was more detailed, but limited in its spatial & temporal extent as most of the data was from the International Cleanup Day in September. For standardization in the CoastalCleanup data, we followed Nelms et al. in 2017, whereby: [A =C/(V*(L+1))], where C = total count (no.items of interest) or weight, L = survey linear distance (m), V = number of volunteers (people), and A = the unit of the adjusted count: items (or weight) collected per metre per person. For the MarineDebris dataset, we did not have data on the # of volunteers, or the survey linear distance, so instead we standardized based on: [A =C/(N)], where N = the number of cleanup activities for the time period and location of interest. We used the standardized values for all analyses/maps (except for the analyses on the proportion of waste items, since that was not affected by effort).


Analyses & Data Maps:

Plastic Hot Spots: Marine Debris Dataset

Map of potential plastic waste hotspots in the Mission Bay Estuary. Data from the Marine Debris cleanup dataset with the amount of trash indicated by the size of the pale green circles. Map Credit: F. Bouhedda, Data: https://debristracker.org/

Plastic Hot Spots: Coastal Cleanup Dataset

Total amount of plastic (standardized by cleanup effort) from 2015-20 in San Diego County via the Coastal Cleanup dataset from the Ocean Conservancy. Map Credit: F. Bouhedda, Data: https://www.coastalcleanupdata.org/


Plastic Hotspots: Rivers and Aquatic Vegetation

Plastic from rivers & the oceans can be captured by aquatic vegetation such as Kelp & Eelgrass.

Submerged aquatic vegetation (SAV) is often found close to the coast. Several SAV habitats are within the MPAs in San Diego where plastic can accumulate and harm the ecosystem.

Riverine Plastic Input Data Credit: Lebreton et. al 2017, Map Credit: C. Stratmann


Plastic Hotspots: Tourism

Airbnb listings are indicators for tourist-dense areas in San Diego County. We see an increased amount of plastic waste in these areas, and surrounding areas from 2016-2020.

The amount of plastic waste (standardized) in relation to the densities of Airbnb listings in 2016 and 2020. Cleanup activity data was accessed via the Marine Debris Tracker and Coastal Cleanup data portals. Map Credit: William Quinn, Data Credit: https://debristracker.org/, https://www.coastalcleanupdata.org/, http://insideairbnb.com/san-diego/ https://public.opendatasoft.com/explore/dataset/airbnb-listings/


Prevention Efforts: Stormwater Collection

Example of a stormwater trash capture device, that is required in San Diego Co. Photo Credit: projectcleanwater.org

Stormwater pollution occurs when plastic debris and other pollutants are washed into storm drains and flow into water bodies. Stormwater runoff contributes to plastic pollution in and near San Diego MPAs. Map Credit F. Bouhedda


Prevention Efforts: Bans

Table of plastic bans in San Diego County (EPS = Expanded Polystyrene). Credit: P. Garcia and J. Goodmacher

Single-use plastic bag bans in San Diego County, starting in 2012, with the most recent in 2019. Map Credit: C. Stratmann


Prevention Efforts: Plastic Cleanups

Tobacco products (cigarettes, cigars, packaging, and e-cigarettes) are the most common item found during a cleanup activity. The second and third most abundant items appear to be plastic food wrappers and plastic and foam fragments. Following these top three waste contestants, a lot of the remaining waste is due to food and beverage service items.

Common plastic waste items found in the environment. Photos: 1, 2 & 4: C. Stratmann and #3: Maurice Roper

However, the good news is that plastic-related bans appear to be working. From the MarineDebris data, we see a visible decrease in the percent of waste containing plastic bags found through time!

Left: Proportion of different types of plastic debris found during the cleanups affiliated with the Marine Debris Tracker App from 2014-2020 in San Diego Co. California, USA. Right: The percent of waste composed of plastic bags (mean ± SE) during these cleanup efforts through time. Percentage of waste consisting of plastic bags were averaged across all locations for each cleanup year. We found a significant lower percent of plastic bags (out of all the collected waste) in 2020 compared to the percent of plastic bags in 2014, 2015, 2018 or 2019 (ANOVA, TukeyHSD, P < 0.05). Figs: J. Hopper | Data Credit: https://debristracker.org/


Cleanup Efforts, Plastic Waste and MPAs

  • Cleanup activities decrease in areas close to MPAs (<1km) compared to those > 1-5 Km.

(A) Mean # cleanup activities (± SE) and (B) Mean standardized plastic waste (± SE) in relation to the distance (Km) from the nearest MPA in San Diego County. (A-B) Based on MarineDebris data from 2014-20 (https://debristracker.org/). (C) Mean # people (± SE) collecting waste and (D) Mean standardized plastic waste (± SE) in relation to the distance from the nearest MPA. (C-D) are based on the waste collected and entered into the Coastal Cleanup database (https://www.coastalcleanupdata.org/) for the month of September from 2016-20 . For each figure, data were summed across all clean up sites and then averaged across years. Figs: J. Hopper


Conclusions

  • Because tourism is the third most important driver of the economy in San Diego County, special attention should be given to reducing the impact of plastic in touristy areas.
  • Since rivers are a major pathway of plastic entering the coast and ocean, future work should examine the effectiveness of river booms and improving upstream waste collection
  • Submerged aquatic vegetation zones in & adjacent to MPAs in San Diego County are potential hotspots for riverine land-based and marine plastic waste accumulation.
  • Plastic bag bans reduce the percent plastic bags found during cleanups in San Diego Co.
  • We recommend regular monitoring and cleanup events near & inside of MPAs as our analyses demonstrated that cleanup efforts are significantly lower in & near MPAs (0-1 km) versus further away (>1-5 km). These plastic monitoring & cleanup activities would need to adhere to local regulations in each MPA to maintain low environmental impact.

Image Credit: Greenpeace.org

Future Directions

  • Ocean currents affect the distribution of plastic in the ocean and along the coastlines. We recommend further analyses and modeling ocean plastic flows into the MPAs and surrounding areas in San Diego County.
  • Further analyses need to examine the flux of plastic from trash capture infrastructure (e.g. trash cans near shorelines and stormwater drainages) in order to more effectively prevent plastic from ending up in aquatic ecosystems.
  • We suggest a standardized method for entering trash data from cleanup events, with critical information including the: 1) number of people participating in cleaning up the trash, & entering the data, 2) distance covered per person during a cleanup event, 3) estimated weight or volume of trash, 4) types & number of trash items collected, 5) date & time of the cleanup & 6) latitude and longitude of the cleanup site. Most importantly, the data should be easily accessible, with standardized column names & data formatting so that data can be combined across different cleanup entities & used for different purposes.

Acknowledgements

We appreciate the opportunity to conduct this research study which was initiated by the  2021 Scripps-Rady Ocean Plastic Challenge . We thank Win Cowger and Shelly Moore (San Francisco Estuary Institute) for valuable advice, references and contacts. Stephanie Gaiens (County of San Diego), and Laurent Lebreton (The Ocean Cleanup) both provided data and resources to further support our geospatial analysis. Dr. Jeff Crooks and Robin Echols-Booth of the Tijuana River National Estuarine Research Reserve also provided two data sets for river trash collection. In addition, Lisa Hazard and Heidi Batchelor of Scripps Institution of Oceanography provided assistance with the acquisition of surface current data. Lastly, we could not have done this work without all of the citizen science community members who collected trash and entered the data into the CoastalCleanup and MarineDebris data portals.

Data Team Participants  Scripps-Rady Ocean Plastic Pollution Challenge 2021 : Fadwa Bouhedda, Patricia Clark, Pilar Garcia, Jonathan Goodmacher, Julie Hopper, Adam Mihalik, William Quinn, Sara-Jeanne Royer, and Cleo Stratmann

Sources, pathways & interventions of plastic waste in MPAs & surrounding areas in San Diego Co.Fig: P. Garcia and C. Stratmann

Left: Heat analysis highlighting the dense/sparse amount of trash found circulating within the Pacific Ocean (Left-Data: Erikson et al, 2014, Fig: F. Bouhedda). Right: North Pacific Ocean Currents and CA coast (NOAA Marine Debris)

Wildlife can mistake plastic for food: Here a sea gull is taking a snack out of a piece of foam packaging on Playa Del Rey Beach, Los Angeles (USA) during a beach cleanup led by Dr. Julie Hopper (USC) in 2020. Photo: Maurice Roper

Map displays 11 MPAs within San Diego County (labeled 1-11 with a color gradient by area), County’s jurisdictions, & major rivers & streams. Our work compiled and analyzed data in interactive maps to help understand the complex interactions among stakeholder and policy actions as well as the ocean plastic pollution problem in MPAs and the surrounding coast. The impact made by interventions & the identification of missing data or actions are valuable aspects to advance effective policy and management decisions towards supporting MPAs and to inform the public. Map Credit: C. Stratmann

Our workflow utilized data from two portals: 1) the International Coastal Cleanup Events (CoastalCleanup: https://www.coastalcleanupdata.org/) & 2) the Marine Debris Tracker App (MarineDebris: https://debristracker.org/). The CoastalCleanup data was more detailed, but limited in its spatial & temporal extent as most of the data was from the International Cleanup Day in September. For standardization in the CoastalCleanup data, we followed Nelms et al. in 2017, whereby: [A =C/(V*(L+1))], where C = total count (no.items of interest) or weight, L = survey linear distance (m), V = number of volunteers (people), and A = the unit of the adjusted count: items (or weight) collected per metre per person. For the MarineDebris dataset, we did not have data on the # of volunteers, or the survey linear distance, so instead we standardized based on: [A =C/(N)], where N = the number of cleanup activities for the time period and location of interest. We used the standardized values for all analyses/maps (except for the analyses on the proportion of waste items, since that was not affected by effort).

Map of potential plastic waste hotspots in the Mission Bay Estuary. Data from the Marine Debris cleanup dataset with the amount of trash indicated by the size of the pale green circles. Map Credit: F. Bouhedda, Data: https://debristracker.org/

Total amount of plastic (standardized by cleanup effort) from 2015-20 in San Diego County via the Coastal Cleanup dataset from the Ocean Conservancy. Map Credit: F. Bouhedda, Data: https://www.coastalcleanupdata.org/

Riverine Plastic Input Data Credit: Lebreton et. al 2017, Map Credit: C. Stratmann

The amount of plastic waste (standardized) in relation to the densities of Airbnb listings in 2016 and 2020. Cleanup activity data was accessed via the Marine Debris Tracker and Coastal Cleanup data portals. Map Credit: William Quinn, Data Credit: https://debristracker.org/, https://www.coastalcleanupdata.org/, http://insideairbnb.com/san-diego/ https://public.opendatasoft.com/explore/dataset/airbnb-listings/

Example of a stormwater trash capture device, that is required in San Diego Co. Photo Credit: projectcleanwater.org

Stormwater pollution occurs when plastic debris and other pollutants are washed into storm drains and flow into water bodies. Stormwater runoff contributes to plastic pollution in and near San Diego MPAs. Map Credit F. Bouhedda

Table of plastic bans in San Diego County (EPS = Expanded Polystyrene). Credit: P. Garcia and J. Goodmacher

Single-use plastic bag bans in San Diego County, starting in 2012, with the most recent in 2019. Map Credit: C. Stratmann

Common plastic waste items found in the environment. Photos: 1, 2 & 4: C. Stratmann and #3: Maurice Roper

Left: Proportion of different types of plastic debris found during the cleanups affiliated with the Marine Debris Tracker App from 2014-2020 in San Diego Co. California, USA. Right: The percent of waste composed of plastic bags (mean ± SE) during these cleanup efforts through time. Percentage of waste consisting of plastic bags were averaged across all locations for each cleanup year. We found a significant lower percent of plastic bags (out of all the collected waste) in 2020 compared to the percent of plastic bags in 2014, 2015, 2018 or 2019 (ANOVA, TukeyHSD, P < 0.05). Figs: J. Hopper | Data Credit: https://debristracker.org/

(A) Mean # cleanup activities (± SE) and (B) Mean standardized plastic waste (± SE) in relation to the distance (Km) from the nearest MPA in San Diego County. (A-B) Based on MarineDebris data from 2014-20 (https://debristracker.org/). (C) Mean # people (± SE) collecting waste and (D) Mean standardized plastic waste (± SE) in relation to the distance from the nearest MPA. (C-D) are based on the waste collected and entered into the Coastal Cleanup database (https://www.coastalcleanupdata.org/) for the month of September from 2016-20 . For each figure, data were summed across all clean up sites and then averaged across years. Figs: J. Hopper

Image Credit: Greenpeace.org

We appreciate the opportunity to conduct this research study which was initiated by the  2021 Scripps-Rady Ocean Plastic Challenge . We thank Win Cowger and Shelly Moore (San Francisco Estuary Institute) for valuable advice, references and contacts. Stephanie Gaiens (County of San Diego), and Laurent Lebreton (The Ocean Cleanup) both provided data and resources to further support our geospatial analysis. Dr. Jeff Crooks and Robin Echols-Booth of the Tijuana River National Estuarine Research Reserve also provided two data sets for river trash collection. In addition, Lisa Hazard and Heidi Batchelor of Scripps Institution of Oceanography provided assistance with the acquisition of surface current data. Lastly, we could not have done this work without all of the citizen science community members who collected trash and entered the data into the CoastalCleanup and MarineDebris data portals.