Cargando…
Reconstructing the historical expansion of industrial swine production from Landsat imagery
In the USA, historical data on the period over which industrial swine farms have operated are usually only available at the county scale and released every 5 years via the USDA Census of Agriculture, leaving the history of the swine industry and its potential legacy effects on the environment poorly...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810989/ https://www.ncbi.nlm.nih.gov/pubmed/35110637 http://dx.doi.org/10.1038/s41598-022-05789-5 |
_version_ | 1784644341440970752 |
---|---|
author | Montefiore, Lise R. Nelson, Natalie G. Dean, Amanda Sharara, Mahmoud |
author_facet | Montefiore, Lise R. Nelson, Natalie G. Dean, Amanda Sharara, Mahmoud |
author_sort | Montefiore, Lise R. |
collection | PubMed |
description | In the USA, historical data on the period over which industrial swine farms have operated are usually only available at the county scale and released every 5 years via the USDA Census of Agriculture, leaving the history of the swine industry and its potential legacy effects on the environment poorly understood. We developed a changepoint-based workflow that recreates the construction timelines of swine farms, specifically by identifying the construction years of swine manure lagoons from historical Landsat 5 imagery for the period of 1984 to 2012. The study focused on the Coastal Plain of North Carolina, a major pork-producing state in the USA. The algorithm successfully predicted the year of swine waste lagoon construction (+ /− 1 year) with an accuracy of approximately 94% when applied to the study area. By estimating the year of construction of 3405 swine waste lagoons in NC, we increased the resolution of available information on the expansion of swine production from the county scale to spatially-explicit locations. We further analyzed how the locations of swine waste lagoons changed in proximity to water resources over time, and found a significant increase in swine waste lagoon distances to the nearest water feature across the period of record. |
format | Online Article Text |
id | pubmed-8810989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88109892022-02-07 Reconstructing the historical expansion of industrial swine production from Landsat imagery Montefiore, Lise R. Nelson, Natalie G. Dean, Amanda Sharara, Mahmoud Sci Rep Article In the USA, historical data on the period over which industrial swine farms have operated are usually only available at the county scale and released every 5 years via the USDA Census of Agriculture, leaving the history of the swine industry and its potential legacy effects on the environment poorly understood. We developed a changepoint-based workflow that recreates the construction timelines of swine farms, specifically by identifying the construction years of swine manure lagoons from historical Landsat 5 imagery for the period of 1984 to 2012. The study focused on the Coastal Plain of North Carolina, a major pork-producing state in the USA. The algorithm successfully predicted the year of swine waste lagoon construction (+ /− 1 year) with an accuracy of approximately 94% when applied to the study area. By estimating the year of construction of 3405 swine waste lagoons in NC, we increased the resolution of available information on the expansion of swine production from the county scale to spatially-explicit locations. We further analyzed how the locations of swine waste lagoons changed in proximity to water resources over time, and found a significant increase in swine waste lagoon distances to the nearest water feature across the period of record. Nature Publishing Group UK 2022-02-02 /pmc/articles/PMC8810989/ /pubmed/35110637 http://dx.doi.org/10.1038/s41598-022-05789-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Montefiore, Lise R. Nelson, Natalie G. Dean, Amanda Sharara, Mahmoud Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title | Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title_full | Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title_fullStr | Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title_full_unstemmed | Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title_short | Reconstructing the historical expansion of industrial swine production from Landsat imagery |
title_sort | reconstructing the historical expansion of industrial swine production from landsat imagery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810989/ https://www.ncbi.nlm.nih.gov/pubmed/35110637 http://dx.doi.org/10.1038/s41598-022-05789-5 |
work_keys_str_mv | AT montefioreliser reconstructingthehistoricalexpansionofindustrialswineproductionfromlandsatimagery AT nelsonnatalieg reconstructingthehistoricalexpansionofindustrialswineproductionfromlandsatimagery AT deanamanda reconstructingthehistoricalexpansionofindustrialswineproductionfromlandsatimagery AT shararamahmoud reconstructingthehistoricalexpansionofindustrialswineproductionfromlandsatimagery |