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Spatial weed distribution models under climate change: a short review

Climate change is a concern worldwide that could trigger many changes with severe consequences. Since human demography is steadily increasing, agriculture has to be constantly investigated to aim at improving its efficiency. Weeds play a key role in this task, especially in the recent past and at pr...

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Autores principales: López-Tirado, Javier, Gonzalez-Andújar, Jose L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100825/
https://www.ncbi.nlm.nih.gov/pubmed/37065704
http://dx.doi.org/10.7717/peerj.15220
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author López-Tirado, Javier
Gonzalez-Andújar, Jose L.
author_facet López-Tirado, Javier
Gonzalez-Andújar, Jose L.
author_sort López-Tirado, Javier
collection PubMed
description Climate change is a concern worldwide that could trigger many changes with severe consequences. Since human demography is steadily increasing, agriculture has to be constantly investigated to aim at improving its efficiency. Weeds play a key role in this task, especially in the recent past and at present, when new introductions have been favoured by a rise in tourism and international trade. To obtain knowledge relating weeds and their behaviour to climate change, species distribution models (SDMs) have also increased recently. In this work, we have reviewed some articles published since 2017 on modelled weeds, aiming to give a response to, among other things, the species most studied, the scale and location of the studies, the algorithms used and validation parameters, global change scenarios, types of variables, and the sources from which the data were collected. Fifty-nine articles were selected to be reviewed, with maximum entropy (MaxEnt) and area under the curve (AUC) being the most popular software and validation processes. Environmental and topographic variables were considered above pedological and anthropogenic ones. Europe was the continent and China, the USA, and India the countries most studied. In this review, it was found that the number of published articles between developed and developing countries is unbalanced and comes out in favour of the former. The current knowledge on this topic can be considered to be good not enough, especially in developing countries with high population densities. The more knowledge we can obtain, the better our understanding is of how to deal with this issue, which is a worldwide preoccupation.
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spelling pubmed-101008252023-04-14 Spatial weed distribution models under climate change: a short review López-Tirado, Javier Gonzalez-Andújar, Jose L. PeerJ Agricultural Science Climate change is a concern worldwide that could trigger many changes with severe consequences. Since human demography is steadily increasing, agriculture has to be constantly investigated to aim at improving its efficiency. Weeds play a key role in this task, especially in the recent past and at present, when new introductions have been favoured by a rise in tourism and international trade. To obtain knowledge relating weeds and their behaviour to climate change, species distribution models (SDMs) have also increased recently. In this work, we have reviewed some articles published since 2017 on modelled weeds, aiming to give a response to, among other things, the species most studied, the scale and location of the studies, the algorithms used and validation parameters, global change scenarios, types of variables, and the sources from which the data were collected. Fifty-nine articles were selected to be reviewed, with maximum entropy (MaxEnt) and area under the curve (AUC) being the most popular software and validation processes. Environmental and topographic variables were considered above pedological and anthropogenic ones. Europe was the continent and China, the USA, and India the countries most studied. In this review, it was found that the number of published articles between developed and developing countries is unbalanced and comes out in favour of the former. The current knowledge on this topic can be considered to be good not enough, especially in developing countries with high population densities. The more knowledge we can obtain, the better our understanding is of how to deal with this issue, which is a worldwide preoccupation. PeerJ Inc. 2023-04-10 /pmc/articles/PMC10100825/ /pubmed/37065704 http://dx.doi.org/10.7717/peerj.15220 Text en © 2023 López-Tirado and Gonzalez-Andújar https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
López-Tirado, Javier
Gonzalez-Andújar, Jose L.
Spatial weed distribution models under climate change: a short review
title Spatial weed distribution models under climate change: a short review
title_full Spatial weed distribution models under climate change: a short review
title_fullStr Spatial weed distribution models under climate change: a short review
title_full_unstemmed Spatial weed distribution models under climate change: a short review
title_short Spatial weed distribution models under climate change: a short review
title_sort spatial weed distribution models under climate change: a short review
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100825/
https://www.ncbi.nlm.nih.gov/pubmed/37065704
http://dx.doi.org/10.7717/peerj.15220
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