| Frontiers in Environmental Science | |
| Human Population Density is a Poor Predictor of Debris in the Environment | |
| R. R. M. K. P. Ranatunga1  T. J. Lawson2  Chris Wilcox2  Qamar Schuyler2  Britta Denise Hardesty2  Chieh-Shen Hu5  Global Plastics Project Partners8  | |
| [1] Center for Marine Science and Technology, University of Sri Jayewardenepura, Nugegoda, Sri Lanka;Commonwealth Scientific and Research Organisation, Oceans and Atmosphere, Hobart, TAS, Australia;Earthwatch Institute Australia, Melbourne, VIC, Australia;GreenHub, Hanoi, Vietnam;IndigoWaters Institute, Kaohsiung, Taiwan;Our Sea of East Asia Network, Tongyeong, South Korea;The Society of Wilderness, Taipei, Taiwan;United Nations Environment Programme, Mombasa, Kenya; | |
| 关键词: debris; litter; plastic pollution; socioeconomics; infrastructure; population; | |
| DOI : 10.3389/fenvs.2021.583454 | |
| 来源: DOAJ | |
【 摘 要 】
There have been a variety of attempts to model and quantify the amount of land-based waste entering the world’s oceans, most of which rely heavily on global estimates of population density as the key driving factor. Using empirical data collected in seven different countries/territories (China, Kenya, South Africa, South Korea, Sri Lanka, Taiwan and Vietnam), we assessed a variety of different factors that may drive plastic leakage to the environment. These factors included both globally available GIS data as well as observations made at a site level. While the driving factors that appear in the best models varied from country to country, it is clear from our analyses that population density is not the best predictor of plastic leakage to the environment. Factors such as land use, infrastructure and socio-economics, as well as local site-level variables (e.g., visible humans, vegetation height, site type) were more strongly correlated with plastic in the environment than was population density. This work highlights the importance of gathering empirical data and establishing regular monitoring programs not only to form accurate estimates of land-based waste entering the ocean, but also to be able to evaluate the effectiveness of land-based interventions.
【 授权许可】
Unknown