Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America" (doi:10.18710/E8AFE5)

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Document Description

Citation

Title:

Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"

Identification Number:

doi:10.18710/E8AFE5

Distributor:

DataverseNO

Date of Distribution:

2026-04-15

Version:

1

Bibliographic Citation:

Reinhardt, Stefanie; Carbonell Ellgutter, Jennifer Alejandrina, 2026, "Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"", https://doi.org/10.18710/E8AFE5, DataverseNO, V1

Study Description

Citation

Title:

Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"

Identification Number:

doi:10.18710/E8AFE5

Authoring Entity:

Reinhardt, Stefanie (https://ror.org/05ecg5h20)

Carbonell Ellgutter, Jennifer Alejandrina (https://ror.org/05ecg5h20)

Other identifications and acknowledgements:

Iversen, Stine Marie

Producer:

University of South-Eastern Norway

Distributor:

DataverseNO

Distributor:

University of South-Eastern Norway

Access Authority:

Reinhardt, Stefanie

Depositor:

1) Reinhardt, Stefanie 2) University of South-Eastern Norway

Date of Deposit:

2026-04-07

Holdings Information:

https://doi.org/10.18710/E8AFE5

Study Scope

Keywords:

Earth and Environmental Sciences, Plastic Pollution, Litter, OSPAR, UAV mapping, Beach monitoring, Pacific coast, Seat turtle nesting

Abstract:

Abstract of Manuscript: Plastic pollution poses a growing threat to coastal ecosystems, including sea turtle nesting habitats, yet data from Central America remains scarce. We quantified and mapped macroplastic (> 5mm) pollution on an Olive Ridley (Lepidochelys olivacea) nesting beach along the Pacific coast of Guatemala by applying both unmanned aerial vehicle (UAV) surveys and ground-based monitoring. We mapped macroplastic items using the OSPAR (Oslo and Paris Convention) beach litter protocol for both UAV imagery and systematic ground-truthing within representative grids. We analyzed plastic abundance with negative binomial mixed-effects models, accounting for sampling method, beach level, and vegetation presence. Ground-truthing revealed a total of 12,297 macroplastic items, corresponding to an average of 2,102 items per 100m shoreline, exceeding the OSPAR beach litter threshold 100 times. Most plastic originated from land-based sources, with accumulation near the high-tide line and within vegetated beach zones- areas that overlap with preferred sea turtle nesting habitat. Ground-based surveys consistently detected substantially higher plastic abundances than UAV imagery, particularly in vegetated areas, where aerial detection was limited. However, the integration of UAVs with ground-truth interpolation facilitated large-scale beach coverage. This study provides the first systematic assessment of macroplastic pollution on Guatemala’s Pacific coast. It highlights both the severity of plastic contamination on a sea turtle nesting beach and the need for pollution monitoring, and it emphasizes the trade-offs between detection accuracy and survey efficiency. Integrating ground surveys with aerial methods offers a scalable approach for identifying pollution hotspots and informing coastal management and conservation strategies in data-poor regions.

Time Period:

2021-10-01-2021-12-01

Date of Collection:

2021-10-01-2021-12-01

Country:

Guatemala

Geographic Coverage:

Santa Rosa, El Banco, Monterrico

Kind of Data:

Survey data

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

“Submitted for review"E

Bibliographic Citation:

“Submitted for review"E

Other Study-Related Materials

Label:

00_ReadMe.txt

Notes:

text/plain

Other Study-Related Materials

Label:

PlasticDataGuatemala2021.csv

Text:

Plastic data from the Pacific Coast of Guatemala

Notes:

text/comma-separated-values