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Mapping potential conflicts between global agriculture and terrestrial conservation

Demand for food products, often from international trade, has brought agricultural land use into direct competition with biodiversity. Where these potential conflicts occur and which consumers are responsible is poorly understood. By combining conservation priority (CP) maps with agricultural trade...

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Detalles Bibliográficos
Autores principales: Hoang, Nguyen Tien, Taherzadeh, Oliver, Ohashi, Haruka, Yonekura, Yusuke, Nishijima, Shota, Yamabe, Masaki, Matsui, Tetsuya, Matsuda, Hiroyuki, Moran, Daniel, Kanemoto, Keiichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266011/
https://www.ncbi.nlm.nih.gov/pubmed/37252987
http://dx.doi.org/10.1073/pnas.2208376120
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author Hoang, Nguyen Tien
Taherzadeh, Oliver
Ohashi, Haruka
Yonekura, Yusuke
Nishijima, Shota
Yamabe, Masaki
Matsui, Tetsuya
Matsuda, Hiroyuki
Moran, Daniel
Kanemoto, Keiichiro
author_facet Hoang, Nguyen Tien
Taherzadeh, Oliver
Ohashi, Haruka
Yonekura, Yusuke
Nishijima, Shota
Yamabe, Masaki
Matsui, Tetsuya
Matsuda, Hiroyuki
Moran, Daniel
Kanemoto, Keiichiro
author_sort Hoang, Nguyen Tien
collection PubMed
description Demand for food products, often from international trade, has brought agricultural land use into direct competition with biodiversity. Where these potential conflicts occur and which consumers are responsible is poorly understood. By combining conservation priority (CP) maps with agricultural trade data, we estimate current potential conservation risk hotspots driven by 197 countries across 48 agricultural products. Globally, a third of agricultural production occurs in sites of high CP (CP > 0.75, max = 1.0). While cattle, maize, rice, and soybean pose the greatest threat to very high-CP sites, other low-conservation risk products (e.g., sugar beet, pearl millet, and sunflower) currently are less likely to be grown in sites of agriculture–conservation conflict. Our analysis suggests that a commodity can cause dissimilar conservation threats in different production regions. Accordingly, some of the conservation risks posed by different countries depend on their demand and sourcing patterns of agricultural commodities. Our spatial analyses identify potential hotspots of competition between agriculture and high-conservation value sites (i.e., 0.5° resolution, or ~367 to 3,077km(2), grid cells containing both agriculture and high-biodiversity priority habitat), thereby providing additional information that could help prioritize conservation activities and safeguard biodiversity in individual countries and globally. A web-based GIS tool at https://agriculture.spatialfootprint.com/biodiversity/ systematically visualizes the results of our analyses.
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spelling pubmed-102660112023-06-15 Mapping potential conflicts between global agriculture and terrestrial conservation Hoang, Nguyen Tien Taherzadeh, Oliver Ohashi, Haruka Yonekura, Yusuke Nishijima, Shota Yamabe, Masaki Matsui, Tetsuya Matsuda, Hiroyuki Moran, Daniel Kanemoto, Keiichiro Proc Natl Acad Sci U S A Biological Sciences Demand for food products, often from international trade, has brought agricultural land use into direct competition with biodiversity. Where these potential conflicts occur and which consumers are responsible is poorly understood. By combining conservation priority (CP) maps with agricultural trade data, we estimate current potential conservation risk hotspots driven by 197 countries across 48 agricultural products. Globally, a third of agricultural production occurs in sites of high CP (CP > 0.75, max = 1.0). While cattle, maize, rice, and soybean pose the greatest threat to very high-CP sites, other low-conservation risk products (e.g., sugar beet, pearl millet, and sunflower) currently are less likely to be grown in sites of agriculture–conservation conflict. Our analysis suggests that a commodity can cause dissimilar conservation threats in different production regions. Accordingly, some of the conservation risks posed by different countries depend on their demand and sourcing patterns of agricultural commodities. Our spatial analyses identify potential hotspots of competition between agriculture and high-conservation value sites (i.e., 0.5° resolution, or ~367 to 3,077km(2), grid cells containing both agriculture and high-biodiversity priority habitat), thereby providing additional information that could help prioritize conservation activities and safeguard biodiversity in individual countries and globally. A web-based GIS tool at https://agriculture.spatialfootprint.com/biodiversity/ systematically visualizes the results of our analyses. National Academy of Sciences 2023-05-30 2023-06-06 /pmc/articles/PMC10266011/ /pubmed/37252987 http://dx.doi.org/10.1073/pnas.2208376120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Hoang, Nguyen Tien
Taherzadeh, Oliver
Ohashi, Haruka
Yonekura, Yusuke
Nishijima, Shota
Yamabe, Masaki
Matsui, Tetsuya
Matsuda, Hiroyuki
Moran, Daniel
Kanemoto, Keiichiro
Mapping potential conflicts between global agriculture and terrestrial conservation
title Mapping potential conflicts between global agriculture and terrestrial conservation
title_full Mapping potential conflicts between global agriculture and terrestrial conservation
title_fullStr Mapping potential conflicts between global agriculture and terrestrial conservation
title_full_unstemmed Mapping potential conflicts between global agriculture and terrestrial conservation
title_short Mapping potential conflicts between global agriculture and terrestrial conservation
title_sort mapping potential conflicts between global agriculture and terrestrial conservation
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266011/
https://www.ncbi.nlm.nih.gov/pubmed/37252987
http://dx.doi.org/10.1073/pnas.2208376120
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