Coupling historical prospection data and a remotely-sensed vegetation index for the preventative control of Desert locusts

Piou, Cyril; Lebourgeois, Valentine; Benahi, Ahmed Salem; Bonnal, Vincent; Jaavar, Mohamed El Hacen; Lecoq, Michel; Vassal, Jean-Michel

doi:10.1016/j.baae.2013.08.007

Cited by 51 publications

(65 citation statements)

References 34 publications

(45 reference statements)

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“…Moreover, remote sensing allows the acquisition of data in areas difficult to reach and at different resolutions (Wang et al, 2013). And in fact, agricultural monitoring from space has long been extensively utilized (as early as the 1930s) over a wide range of geographic locations and spatial scales (Wall et al, 2008;Nellis et al, 2009;Becker-Reshef et al, 2010;Atzberger, 2013;Piou et al, 2013).…”

Section: Technologies Tools and Methodologies For Vegetation Monitoringmentioning

confidence: 99%

“…The solitary form is wingless and does not constitute a threat (Piou et al, 2013). In this form individuals seem to avoid one another and constitute low density populations (Sword et al, 2010).…”

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

“…The transition from the solitary to the gregarious phase is triggered by the occurrence of favorable ecological conditions caused by heavy rains able to provide enough moisture for egg hatching and also for the growth of vegetation that will make available food and shelter for the grasshoppers (van Huis, 1995). These insects, with high reproductive potential, then multiply rapidly, in an exponential way, forming numerous swarms that coalesce (Piou et al, 2013). They leave their original area looking for food and may reach distant territories .…”

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

“…This triggers the shift from the harmless solitarious form to the gregarious winged sexually mature form (van Huis, 1995;Sword et al, 2010). Then the insects reproduce and develop quickly, as Ji et al (2004) report, forming vast swarms that have the ability to fly rapidly across great distances and which, if not detected and controlled in time, can have catastrophic effects on agricultural production (Hielkema et al 1986;Piou et al, 2013). The transition from the solitary to the gregarious phase is triggered by the occurrence of favorable ecological conditions caused by heavy rains able to provide enough moisture for egg hatching and also for the growth of vegetation that will make available food and shelter for the grasshoppers (van Huis, 1995).…”

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

“…Thus, locust plague monitoring and control are of international concern in order to guarantee food security, given the catastrophic impacts of outbreaks (Ji et al, 2004;Zhenbo et al, 2008). Locust control should occur before the onset of the gregarious phase or as soon as insects start changing from the solitarious to the gregarious phase, when insects still occur in small numbered populations in reduced patches of favorable habitat (Piou et al, 2013). In fact, the strategy for the prevention of outbreaks occurrence is based on the location of possible areas with ecological conditions conducive to the rapid development of the insect and application of control measures in those areas, such as the application of insecticides, while populations still have low density and animals are wingless.…”

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

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Remote sensing in food production and #8211; a review

Calvão

Pessoa

2015

Emir. J. Food Agric

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FAO's most recent assessments indicate that, globally, in 2011-13, about one in eight people in the world are likely to have suffered from chronic hunger, not having adequate food supplies for an active and healthy life. Food security crises are now caused, almost exclusively, by problems in access to food, not absolute food availability, but, monitoring agricultural production remains fundamental. Traditional ground-based systems of production estimation have many limitations which have restricted their use. However, remotely sensed satellite data offer timely, objective, economical, and synoptic information for crop monitoring. The objective of this paper is to review the contribution of remote sensing techniques in the classification, monitoring of crop phenology and condition and estimation of production.

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Section: Technologies Tools and Methodologies For Vegetation Monitoringmentioning

confidence: 99%

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

Section: Pests and Weeds Monitoring And Controlmentioning

confidence: 99%

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Remote sensing in food production and #8211; a review

Calvão

Pessoa

2015

Emir. J. Food Agric

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

Lecoq

Piou

2017

Pest Management Science

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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.

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The limitations of locust preventive management faced with spatial uncertainty: exploration with a multi‐agent model

Gay

Lecoq

Piou

2019

Pest Management Science

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BACKGROUND The spatial structure of locust outbreaks is a major aspect of preventive management that relies on where survey teams have to be sent if they are to react in time to any upsurge. The concentration of areas propitious to outbreaks has been documented for many species. Areas where preventive management fails to collect information because of insecurity or remoteness constitute other limits. We explored these conditions using a spatially explicit multi‐agent model representing a preventive management system. We simulated areas where field teams had limited or no access and areas where the probability of initial outbreaks was concentrated in hotspots. RESULTS A strong effort by the budget holder to maintain funding over time might be cancelled out with 5% of a territory having limited access. The larger the area of no access, the worse the proportion of plague years. Multiple no access areas generated more plagues than only one no access area of an equivalent size because more fronts must be controlled. Concentrating outbreaks in hotspots increased the probability of plagues. One hotspot alone was easier to control than several same‐sized hotspots. The period of the budget holder's cyclical behaviour between awareness and reduction in funding was longer with one hotspot than with several. CONCLUSION These results highlight the need to consider the spatial conditions and accessibility of locust species when planning the sustainability of management systems. Despite significant budgets to set in place a preventive management system, cyclical locust outbreaks may be related to these spatial conditions. © 2019 Society of Chemical Industry

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Coupling historical prospection data and a remotely-sensed vegetation index for the preventative control of Desert locusts

Cited by 51 publications

References 34 publications

Remote sensing in food production and #8211; a review

Remote sensing in food production and #8211; a review

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

The limitations of locust preventive management faced with spatial uncertainty: exploration with a multi‐agent model

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