The tourism industry keeps beaches clean in Mozambique

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The tourism industry keeps beaches clean in Mozambique. / Inteca, Gélica; Hagy, Badru; Silva, Isabel; Amoda, Carlota; Cululo, Aniceto; Farooq, Harith.

In: Marine Pollution Bulletin, Vol. 196, 115615, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Inteca, G, Hagy, B, Silva, I, Amoda, C, Cululo, A & Farooq, H 2023, 'The tourism industry keeps beaches clean in Mozambique', Marine Pollution Bulletin, vol. 196, 115615. https://doi.org/10.1016/j.marpolbul.2023.115615

APA

Inteca, G., Hagy, B., Silva, I., Amoda, C., Cululo, A., & Farooq, H. (2023). The tourism industry keeps beaches clean in Mozambique. Marine Pollution Bulletin, 196, [115615]. https://doi.org/10.1016/j.marpolbul.2023.115615

Vancouver

Inteca G, Hagy B, Silva I, Amoda C, Cululo A, Farooq H. The tourism industry keeps beaches clean in Mozambique. Marine Pollution Bulletin. 2023;196. 115615. https://doi.org/10.1016/j.marpolbul.2023.115615

Author

Inteca, Gélica ; Hagy, Badru ; Silva, Isabel ; Amoda, Carlota ; Cululo, Aniceto ; Farooq, Harith. / The tourism industry keeps beaches clean in Mozambique. In: Marine Pollution Bulletin. 2023 ; Vol. 196.

Bibtex

@article{c7ae6470434d4234b16911e76b7df44f,
title = "The tourism industry keeps beaches clean in Mozambique",
abstract = "In this study, we conducted the first assessment of the litter abundance, diversity and predictors in Mozambique, by collecting approximately 2 tons of litter along six beaches across the country. We tested whether population, touristic industry, fishing, and recreation activities predict the quantity of macro litter for each of the 11 types and 141 subtypes of litter. Overall, we found that plastics made up 60.1 % of the items across all sampled beaches. Following plastics, clothing objects accounted for the second most weight (20.4 %) while foam objects were the second most abundant (15.7 %). More importantly, our results show that the tourism industry is a strong predictor for lower levels of litter across most types of litter while population density and fishing activity were strong predictors for higher levels. Our findings suggest that the tourism industry plays a crucial role in the country by maintaining the beaches clean.",
keywords = "Marine litter, Mozambique, Plastics, Population density, Touristic industry",
author = "G{\'e}lica Inteca and Badru Hagy and Isabel Silva and Carlota Amoda and Aniceto Cululo and Harith Farooq",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
doi = "10.1016/j.marpolbul.2023.115615",
language = "English",
volume = "196",
journal = "Marine Pollution Bulletin",
issn = "0025-326X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The tourism industry keeps beaches clean in Mozambique

AU - Inteca, Gélica

AU - Hagy, Badru

AU - Silva, Isabel

AU - Amoda, Carlota

AU - Cululo, Aniceto

AU - Farooq, Harith

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - In this study, we conducted the first assessment of the litter abundance, diversity and predictors in Mozambique, by collecting approximately 2 tons of litter along six beaches across the country. We tested whether population, touristic industry, fishing, and recreation activities predict the quantity of macro litter for each of the 11 types and 141 subtypes of litter. Overall, we found that plastics made up 60.1 % of the items across all sampled beaches. Following plastics, clothing objects accounted for the second most weight (20.4 %) while foam objects were the second most abundant (15.7 %). More importantly, our results show that the tourism industry is a strong predictor for lower levels of litter across most types of litter while population density and fishing activity were strong predictors for higher levels. Our findings suggest that the tourism industry plays a crucial role in the country by maintaining the beaches clean.

AB - In this study, we conducted the first assessment of the litter abundance, diversity and predictors in Mozambique, by collecting approximately 2 tons of litter along six beaches across the country. We tested whether population, touristic industry, fishing, and recreation activities predict the quantity of macro litter for each of the 11 types and 141 subtypes of litter. Overall, we found that plastics made up 60.1 % of the items across all sampled beaches. Following plastics, clothing objects accounted for the second most weight (20.4 %) while foam objects were the second most abundant (15.7 %). More importantly, our results show that the tourism industry is a strong predictor for lower levels of litter across most types of litter while population density and fishing activity were strong predictors for higher levels. Our findings suggest that the tourism industry plays a crucial role in the country by maintaining the beaches clean.

KW - Marine litter

KW - Mozambique

KW - Plastics

KW - Population density

KW - Touristic industry

U2 - 10.1016/j.marpolbul.2023.115615

DO - 10.1016/j.marpolbul.2023.115615

M3 - Journal article

C2 - 37804669

AN - SCOPUS:85173480920

VL - 196

JO - Marine Pollution Bulletin

JF - Marine Pollution Bulletin

SN - 0025-326X

M1 - 115615

ER -

ID: 369975018