Improving preventive locust management: insights from a multi‐agent model

BACKGROUND Preventive management of locust plagues works in some cases but still fails frequently. The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi‐agent system to represent the events of locust plague developme...

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Veröffentlicht in:Pest management science 2018-01, Vol.74 (1), p.46-58
Hauptverfasser: Gay, Pierre‐Emmanuel, Lecoq, Michel, Piou, Cyril
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creator Gay, Pierre‐Emmanuel
Lecoq, Michel
Piou, Cyril
description BACKGROUND Preventive management of locust plagues works in some cases but still fails frequently. The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi‐agent system to represent the events of locust plague development and a management system with three levels: funding institution, national control unit and field teams. A sensitivity analysis identified the limits and improvements of the management system. RESULTS The model generated cyclic locust plagues through a decrease in funding institution awareness. The funding institution could improve its impact by increasing its support by just a few percent. The control unit should avoid hiring too many field teams when plagues bring in money, in order to ensure that surveys can be maintained in times of recession. The more information the teams can acquire about the natural system, the more efficient they will be. CONCLUSION We argue that anti‐locust management should be considered as a complex adaptive system. This not only would allow managers to prove to funders the random aspect of their needs, but would also enable funders and decision‐makers to understand and integrate their own decisions into the locust dynamics that still regularly affect human populations. © 2017 Society of Chemical Industry A multi‐agent model developed to represent typical management system of locust plagues illustrates that the devastating cyclic plagues of locusts can be the result of decreases in funding institutions awareness.
doi_str_mv 10.1002/ps.4648
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The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi‐agent system to represent the events of locust plague development and a management system with three levels: funding institution, national control unit and field teams. A sensitivity analysis identified the limits and improvements of the management system. RESULTS The model generated cyclic locust plagues through a decrease in funding institution awareness. The funding institution could improve its impact by increasing its support by just a few percent. The control unit should avoid hiring too many field teams when plagues bring in money, in order to ensure that surveys can be maintained in times of recession. The more information the teams can acquire about the natural system, the more efficient they will be. CONCLUSION We argue that anti‐locust management should be considered as a complex adaptive system. This not only would allow managers to prove to funders the random aspect of their needs, but would also enable funders and decision‐makers to understand and integrate their own decisions into the locust dynamics that still regularly affect human populations. © 2017 Society of Chemical Industry A multi‐agent model developed to represent typical management system of locust plagues illustrates that the devastating cyclic plagues of locusts can be the result of decreases in funding institutions awareness.</description><identifier>ISSN: 1526-498X</identifier><identifier>EISSN: 1526-4998</identifier><identifier>DOI: 10.1002/ps.4648</identifier><identifier>PMID: 28628265</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Adaptive systems ; Animals ; Capital Financing ; complex adaptive system ; Complex adaptive systems ; desert locust ; early warning ; Funding ; Grasshoppers ; Human populations ; Insect Control - economics ; Insect Control - instrumentation ; Insect Control - methods ; Management ; Models, Theoretical ; Multiagent systems ; pattern‐oriented model ; pest management ; phase polyphenism ; Plague ; preventive control ; Recession ; Sensitivity analysis</subject><ispartof>Pest management science, 2018-01, Vol.74 (1), p.46-58</ispartof><rights>2017 Society of Chemical Industry</rights><rights>2017 Society of Chemical Industry.</rights><rights>Copyright © 2018 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3458-9fe6236c024e7f469d90d0e0dff9b2a787a385ad3a21c4b4a1421c27084ceff13</citedby><cites>FETCH-LOGICAL-c3458-9fe6236c024e7f469d90d0e0dff9b2a787a385ad3a21c4b4a1421c27084ceff13</cites><orcidid>0000-0002-9378-9404 ; 0000-0003-4515-3505</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fps.4648$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fps.4648$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28628265$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gay, Pierre‐Emmanuel</creatorcontrib><creatorcontrib>Lecoq, Michel</creatorcontrib><creatorcontrib>Piou, Cyril</creatorcontrib><title>Improving preventive locust management: insights from a multi‐agent model</title><title>Pest management science</title><addtitle>Pest Manag Sci</addtitle><description>BACKGROUND Preventive management of locust plagues works in some cases but still fails frequently. The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi‐agent system to represent the events of locust plague development and a management system with three levels: funding institution, national control unit and field teams. A sensitivity analysis identified the limits and improvements of the management system. RESULTS The model generated cyclic locust plagues through a decrease in funding institution awareness. The funding institution could improve its impact by increasing its support by just a few percent. The control unit should avoid hiring too many field teams when plagues bring in money, in order to ensure that surveys can be maintained in times of recession. The more information the teams can acquire about the natural system, the more efficient they will be. CONCLUSION We argue that anti‐locust management should be considered as a complex adaptive system. This not only would allow managers to prove to funders the random aspect of their needs, but would also enable funders and decision‐makers to understand and integrate their own decisions into the locust dynamics that still regularly affect human populations. © 2017 Society of Chemical Industry A multi‐agent model developed to represent typical management system of locust plagues illustrates that the devastating cyclic plagues of locusts can be the result of decreases in funding institutions awareness.</description><subject>Adaptive systems</subject><subject>Animals</subject><subject>Capital Financing</subject><subject>complex adaptive system</subject><subject>Complex adaptive systems</subject><subject>desert locust</subject><subject>early warning</subject><subject>Funding</subject><subject>Grasshoppers</subject><subject>Human populations</subject><subject>Insect Control - economics</subject><subject>Insect Control - instrumentation</subject><subject>Insect Control - methods</subject><subject>Management</subject><subject>Models, Theoretical</subject><subject>Multiagent systems</subject><subject>pattern‐oriented model</subject><subject>pest management</subject><subject>phase polyphenism</subject><subject>Plague</subject><subject>preventive control</subject><subject>Recession</subject><subject>Sensitivity analysis</subject><issn>1526-498X</issn><issn>1526-4998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10MtKAzEUBuAgiq1VfAMZcKEgU5NMOpO4k-KlWFBQwV1IZ05qytxMZird-Qg-o09iamsXgqtzOHz8HH6EDgnuE4zpee36LGZ8C3XJgMYhE4Jvb3b-0kF7zs0wxkIIuos6lMeU03jQRXejorbV3JTToLYwh7IxcwjyKm1dExSqVFMo_PEiMKUz09fGBdpWRaCCos0b8_Xx6UHpZZVBvo92tModHKxnDz1fXz0Nb8Px_c1oeDkO04gNeCg0xDSKU0wZJJrFIhM4w4AzrcWEqoQnKuIDlUWKkpRNmCLMLzTBnKWgNYl66HSV6z9_a8E1sjAuhTxXJVStk0QQQnGEOff0-A-dVa0t_XdeJQmhImLCq5OVSm3lnAUta2sKZReSYLnsV9ZOLvv18mid104KyDbut1APzlbg3eSw-C9HPjz-xH0DBiWDqQ</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Gay, Pierre‐Emmanuel</creator><creator>Lecoq, Michel</creator><creator>Piou, Cyril</creator><general>John Wiley &amp; 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The role of funding institution awareness was suggested as a potential facilitating factor for cyclic locust plagues. We designed a multi‐agent system to represent the events of locust plague development and a management system with three levels: funding institution, national control unit and field teams. A sensitivity analysis identified the limits and improvements of the management system. RESULTS The model generated cyclic locust plagues through a decrease in funding institution awareness. The funding institution could improve its impact by increasing its support by just a few percent. The control unit should avoid hiring too many field teams when plagues bring in money, in order to ensure that surveys can be maintained in times of recession. The more information the teams can acquire about the natural system, the more efficient they will be. CONCLUSION We argue that anti‐locust management should be considered as a complex adaptive system. This not only would allow managers to prove to funders the random aspect of their needs, but would also enable funders and decision‐makers to understand and integrate their own decisions into the locust dynamics that still regularly affect human populations. © 2017 Society of Chemical Industry A multi‐agent model developed to represent typical management system of locust plagues illustrates that the devastating cyclic plagues of locusts can be the result of decreases in funding institutions awareness.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><pmid>28628265</pmid><doi>10.1002/ps.4648</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9378-9404</orcidid><orcidid>https://orcid.org/0000-0003-4515-3505</orcidid></addata></record>
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subjects Adaptive systems
Animals
Capital Financing
complex adaptive system
Complex adaptive systems
desert locust
early warning
Funding
Grasshoppers
Human populations
Insect Control - economics
Insect Control - instrumentation
Insect Control - methods
Management
Models, Theoretical
Multiagent systems
pattern‐oriented model
pest management
phase polyphenism
Plague
preventive control
Recession
Sensitivity analysis
title Improving preventive locust management: insights from a multi‐agent model
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