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Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests
The geographic pattern of cropland is an important risk factor for invasion and saturation by crop-specific pathogens and arthropods. Understanding cropland networks supports smart pest sampling and mitigation strategies. We evaluate global networks of cropland connectivity for key vegetatively prop...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498352/ https://www.ncbi.nlm.nih.gov/pubmed/32973407 http://dx.doi.org/10.1093/biosci/biaa067 |
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author | Xing, Yanru Hernandez Nopsa, John F Andersen, Kelsey F Andrade-Piedra, Jorge L Beed, Fenton D Blomme, Guy Carvajal-Yepes, Mónica Coyne, Danny L Cuellar, Wilmer J Forbes, Gregory A Kreuze, Jan F Kroschel, Jürgen Kumar, P Lava Legg, James P Parker, Monica Schulte-Geldermann, Elmar Sharma, Kalpana Garrett, Karen A |
author_facet | Xing, Yanru Hernandez Nopsa, John F Andersen, Kelsey F Andrade-Piedra, Jorge L Beed, Fenton D Blomme, Guy Carvajal-Yepes, Mónica Coyne, Danny L Cuellar, Wilmer J Forbes, Gregory A Kreuze, Jan F Kroschel, Jürgen Kumar, P Lava Legg, James P Parker, Monica Schulte-Geldermann, Elmar Sharma, Kalpana Garrett, Karen A |
author_sort | Xing, Yanru |
collection | PubMed |
description | The geographic pattern of cropland is an important risk factor for invasion and saturation by crop-specific pathogens and arthropods. Understanding cropland networks supports smart pest sampling and mitigation strategies. We evaluate global networks of cropland connectivity for key vegetatively propagated crops (banana and plantain, cassava, potato, sweet potato, and yam) important for food security in the tropics. For each crop, potential movement between geographic location pairs was evaluated using a gravity model, with associated uncertainty quantification. The highly linked hub and bridge locations in cropland connectivity risk maps are likely priorities for surveillance and management, and for tracing intraregion movement of pathogens and pests. Important locations are identified beyond those locations that simply have high crop density. Cropland connectivity risk maps provide a new risk component for integration with other factors—such as climatic suitability, genetic resistance, and global trade routes—to inform pest risk assessment and mitigation. |
format | Online Article Text |
id | pubmed-7498352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74983522020-09-23 Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests Xing, Yanru Hernandez Nopsa, John F Andersen, Kelsey F Andrade-Piedra, Jorge L Beed, Fenton D Blomme, Guy Carvajal-Yepes, Mónica Coyne, Danny L Cuellar, Wilmer J Forbes, Gregory A Kreuze, Jan F Kroschel, Jürgen Kumar, P Lava Legg, James P Parker, Monica Schulte-Geldermann, Elmar Sharma, Kalpana Garrett, Karen A Bioscience Overview Articles The geographic pattern of cropland is an important risk factor for invasion and saturation by crop-specific pathogens and arthropods. Understanding cropland networks supports smart pest sampling and mitigation strategies. We evaluate global networks of cropland connectivity for key vegetatively propagated crops (banana and plantain, cassava, potato, sweet potato, and yam) important for food security in the tropics. For each crop, potential movement between geographic location pairs was evaluated using a gravity model, with associated uncertainty quantification. The highly linked hub and bridge locations in cropland connectivity risk maps are likely priorities for surveillance and management, and for tracing intraregion movement of pathogens and pests. Important locations are identified beyond those locations that simply have high crop density. Cropland connectivity risk maps provide a new risk component for integration with other factors—such as climatic suitability, genetic resistance, and global trade routes—to inform pest risk assessment and mitigation. Oxford University Press 2020-07-29 /pmc/articles/PMC7498352/ /pubmed/32973407 http://dx.doi.org/10.1093/biosci/biaa067 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Institute of Biological Sciences. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Overview Articles Xing, Yanru Hernandez Nopsa, John F Andersen, Kelsey F Andrade-Piedra, Jorge L Beed, Fenton D Blomme, Guy Carvajal-Yepes, Mónica Coyne, Danny L Cuellar, Wilmer J Forbes, Gregory A Kreuze, Jan F Kroschel, Jürgen Kumar, P Lava Legg, James P Parker, Monica Schulte-Geldermann, Elmar Sharma, Kalpana Garrett, Karen A Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title | Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title_full | Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title_fullStr | Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title_full_unstemmed | Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title_short | Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests |
title_sort | global cropland connectivity: a risk factor for invasion and saturation by emerging pathogens and pests |
topic | Overview Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498352/ https://www.ncbi.nlm.nih.gov/pubmed/32973407 http://dx.doi.org/10.1093/biosci/biaa067 |
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