Behaviour Of Locusts Research Articles

Locust behavior and city topology: A biodynamic approach for assessing urban flows

A city's economic growth and the inhabitants' wellbeing are highly affected by its topology and connecting networks, which, in turn, influence movement and flows in the city. Flow relates to how a city is developed, organized, managed, and built. The analysis of flow in cities is challenging but essential. In this study, the fields of urban design and animal science are combined, and a new approach for exploring the relationships between urban topology and physical flow is developed. Specifically, we establish an interdisciplinary methodology to evaluate mobility performance in various urban settings, utilizing experimental observations of the dynamic behavior of natural-biological agents, i.e., locusts, within physical city models. Our novel approach enriches the currently available toolbox by using living organisms as indicators for flow in physical city models. Our findings improve our understanding of the intricate flow interactions in urban settings.

Pausing to swarm: locust intermittent motion is instrumental for swarming-related visual processing.

Intermittent motion is prevalent in animal locomotion. Of special interest is the case of collective motion, in which social and environmental information must be processed in order to establish coordinated movement. We explored this nexus in locust, focusing on how intermittent motion interacts with swarming-related visual-based decision-making. Using a novel approach, we compared individual locust behaviour in response to continuously moving stimuli, with their response in semi-closed-loop conditions, in which the stimuli moved either in phase with the locust walking, or out of phase, i.e. only during the locust's pauses. Our findings clearly indicate the greater tendency of a locust to respond and 'join the swarming motion' when the visual stimuli were presented during its pauses. Hence, the current study strongly confirms previous indications of the dominant role of pauses in the collective motion-related decision-making of locusts. The presented insights contribute to a deeper general understanding of how intermittent motion contributes to group cohesion and coordination in animal swarms.

Swarm Drone System with YOLOv8 Algorithm for Efficient Locust Management in Agricultural Environments

In recent years, the recurring invasions of locusts have emerged as a significant threat to global agriculture, jeopardizing both crop yields and vast uncultivated lands. To address this pressing issue, this research paper introduces an innovative approach that leverages artificial intelligence (AI) for real-time locust management. Extensive investigations into locust behavior, life cycles, and existing management techniques have informed the development of a novel swarm drone system capable of detecting and eliminating locusts in farms using object detection and targeted pesticide spraying. The core technology employed in the system is the YOLOv8 algorithm, a convolutional neural network model renowned for its robustness in object recognition. The coordinated actions of the swarm drones are facilitated by the ArduPilot system, enabling efficient collaboration and synchronized locust eradication efforts. By harnessing AI for locust detection and eradication, the proposed system demonstrates the potential to significantly enhance efficiency and accuracy, thereby mitigating crop damage and elevating agricultural yields. This research paper sheds light on a promising solution that amalgamates AI, drones, and object detection to tackle the critical issue of locust management, fostering sustainable agricultural practices in the face of mounting challenges

Biological population model of locust migratory

Ecological monitoring is essential for the timely detection of pests and diseases in crops and vegetation. It enables the implementation of appropriate measures to prevent the spread of harmful organisms and minimize the damage they cause. Mathematical modeling of the behavior of pests and insects, such as locusts, provides valuable insights into their flight patterns, propagation, and harmfulness. The development of mathematical models and computational algorithms allows researchers to simulate and predict the behavior of locusts and other harmful organisms, enabling the implementation of effective control measures. In addition to monitoring and controlling pests, ecological monitoring also provides valuable data on environmental trends, including climate change, air and water quality, and soil conditions. Such information is critical for developing strategies for sustainable resource management, including agriculture, forestry, and conservation. Overall, ecological monitoring and the development of mathematical models and computational algorithms play a crucial role in protecting the environment and ensuring the sustainable use of natural resources. These tools enable researchers and policymakers to make informed decisions about resource management and implement effective measures to mitigate the impact of harmful organisms and environmental degradation.

Glutamate–GABA imbalance mediated by miR-8-5p and its STTM regulates phase-related behavior of locusts

The aggregation of locusts from solitary to gregarious phases is crucial for the formation of devastating locust plagues. Locust management requires research on the prevention of aggregation or alternative and greener solutions to replace insecticide use, and insect-derived microRNAs (miRNAs) show the potential for application in pest control. Here, we performed a genome-wide screen of the differential expression of miRNAs between solitary and gregarious locusts and showed that miR-8-5p controls the γ-aminobutyric acid (GABA)/glutamate functional balance by directly targeting glutamate decarboxylase (Gad). Blocking glutamate-GABA neurotransmission by miR-8-5p overexpression or Gad RNAi in solitary locusts decreased GABA production, resulting in locust aggregation behavior. Conversely, activating this pathway by miR-8-5p knockdown in gregarious locusts induced GABA production to eliminate aggregation behavior. Further results demonstrated that ionotropic glutamate/GABA receptors tuned glutamate/GABA to trigger/hamper the aggregation behavior of locusts. Finally, we successfully established a transgenic rice line expressing the miR-8-5p inhibitor by short tandem target mimic (STTM). When locusts fed on transgenic rice plants, Gad transcript levels in the brain increased greatly, and aggregation behavior was lost. This study provided insights into different regulatory pathways in the phase change of locusts and a potential control approach through behavioral regulation in insect pests.

Optimal allocation and control of fixed and switched capacitor banks on distribution systems using grasshopper optimisation algorithm with power loss sensitivity and rough set theory

The grasshopper heuristic optimisation algorithm (GOA) is one of the newest heuristic techniques. It attempts to imitate locust's behaviour in solving different problems. In this paper, first, optimal location and size of fixed capacitor banks on distribution systems have been obtained using the GOA. Determination of the optimal number of capacitor banks and their optimal locations and sizes represent one of the major challenges facing distribution system operators. Therefore, second, a combined power loss sensitivity and GOA technique has been introduced to obtain the optimal number, location and size of the capacitor banks on distribution systems. Third, a proposed technique for optimal placement of fixed and switched capacitor banks considering daily load variations is introduced. Finally, a new technique of combined rough set theory and GOA is proposed to minimise daily switching of the capacitor banks and minimise daily power losses. Four test systems with different sizes and complexities are considered to evaluate the proposed techniques which are the 33, 69, 85 and 141-bus systems. To clarify the validation and effectiveness of the proposed solution techniques, the obtained results have been compared with other previously used solving techniques. The obtained results demonstrate the accuracy and effectiveness of the introduced techniques.

Using radiotelemetry to study behavioural thermoregulation in insects under field conditions

Abstract Thermoregulation is a central aspect of animal physiology. Mobile ectotherms have the potential to influence their temperature through their location and orientation. Behavioural thermoregulation has been extensively studied in insects, particularly in the migratory locust Locusta migratoria. However, most field studies are confined to daytime observations typically using invasive thermocouples with obvious potential to disrupt natural behaviour. We demonstrate that miniature radiotransmitters represent an alternative and less invasive method to study insect thermoregulation. We discuss how this method can be used to study the thermal behaviour of free‐ranging animals for extended periods. Specifically, we show that there is a close correlation between temperature recordings from implanted thermocouples in locusts L. migratoria and externally mounted radiotransmitters on the same animals. Our experiments match earlier observations of locust thermoregulatory behaviour confirming that the locusts with transmitters exhibit ‘normal’ thermoregulatory responses to feeding and to infections (behavioural fever). Finally, we demonstrate the practicality of a radiotransmitter‐based system by recording natural thermoregulatory behaviour of locusts in a semi‐field setting. Our field study showed locusts actively chose warm microclimates during the day and cold microclimates at night. We conclude that the use of radiotelemetry in studies of behavioural thermoregulation in wild insects could provide unique continuous recordings of body temperature over several days. Such data will provide researchers with a more complete understanding of how insects use behavioural thermoregulation in nature.

Plant Approach-Avoidance Response in Locusts Driven by Plant Volatile Sensing at Different Ranges.

Several hypotheses have been proposed to explain how herbivorous insects approach plants by sensing plant volatiles. Insect antennae and maxillary palps are believed to have crucial roles in the detection of host plant volatiles. However, few studies have assessed the roles of these olfactory organs in food selection in terms of the effects of individual volatile compounds from plants at various distances. Therefore, we assessed the palp-opening response (POR), biting response, and selection behavior of locust (Locusta migratoria) nymphs in response to volatile compounds from host and non-host plants at various distances. Thirty odorants were identified as the active volatiles to locust by the POR tests. At a distance of 3m, locusts were attracted to a few common volatiles (1% v/v) of both host and non-host plants, while few components of volatiles acted as repellants at this distance. At a distance of 1m, locusts responded more readily to volatile compounds. At a distance of 1cm, locusts mainly used their palps to detect volatiles. However, some components that acted as attractants at long distances had no effect on the biting response at a short distance. Together, the results suggest that plant volatiles generally attract locust nymphs at long distances, but the effects are influenced by distance and concentration. Moreover, there are substantial functional differences in the use of antennae and palps for detecting volatiles at various distances. Overall, the mechanism of food selection by locusts via olfaction can be divided into several continuous ranges according to the sensitivities of the two chemosensory organs and the characteristics of the plant odorants.

A Bio-Inspired Algorithm for Virtual Machines Allocation in Public Clouds

The rapid spread of cloud computing during the past few years has increased the need to improve cloud services. The infrastructure-as-a-service (IaaS) model is among the highly challenging cloud computing models that has been subject to many optimization proposals. In particular, the scheduling algorithms followed by IaaS resource management systems to allocate virtual machine requests to physical cloud severs play an important role in the performance of the entire cloud. This paper proposes a distributed scheduling algorithm for IaaS cloud computing services by imitating the locust behavior in nature. The simulation results show that the proposed Locust algorithm reduces the average turnaround time of requests without compromising the server utilization.

Characterizing phase‐related differences in behaviour of Schistocerca gregaria with spatial distribution analysis

AbstractThe behaviour of locusts has been studied extensively using two approaches: (1) analysing a single individual's response to a group stimulus or (2) using group conditions to look at aggregation patterns. The second approach has, in contrast with the first one, not been improved in terms of statistical analyses since the 1960s. In the present study, we propose a spatial statistics approach of point‐pattern analysis to improve the group‐based assessment of behavioural phase characterization. This diagnostic tool was developed and tested in the laboratory with comparative analysis of solitarious (isolation‐reared) and gregarious (crowd‐reared) desert locusts, Schistocerca gregaria (Forskål) (Orthoptera: Acrididae). The spatial distribution patterns of 10 either solitarious or gregarious third‐instar hoppers were characterized with nearest neighbour distance measurements in a circular arena. The temporal sequence of spatial disposition of locusts was recorded with a digital camera taking photographs at regular intervals. The approach of point‐pattern analysis focused on the spatial distribution of observed events and allowed us to make inferences about the underlying process that generated them. The results confirmed that our diagnostic tool could identify that crowd‐reared hoppers tended to aggregate more to conspecifics than isolation‐reared ones. We could also verify that isolation‐reared hoppers were less active than crowd‐reared ones, but this was only true at the beginning of the experiments. The spatial statistics approach proposed in the present study could help with observations of phase‐related differences in the behaviour of locusts.

Effect of Paranosema locustae (Microsporidia) on the behavioural phases of Locusta migratoria (Orthoptera: Acrididae) in the laboratory

The ability of parasites to modify the behaviour of their hosts is a wide spread phenomenon, but the effects of microsporidian parasites on locust behaviour remain unexplored. Here the frequencies of directional changes (ND) and jumping (NJ) per minute of gregarious locusts infected with 2000 spores of the microsporidian parasite Paranosema locustae were significantly different from those of untreated locusts 10 and 16 days after infection, being similar to values for solitary nymphs. In contrast, the behaviour of locusts inoculated with the lower doses of 200 spores/locust was sometimes like that of solitary nymphs. At other times, behaviour was intermediate between solitary and gregarious, i.e. transitional. The rearing density did not affect the turning and jumping behaviour of infected locusts, and their behaviours were similar to those of solitary locusts at 10–16 days after infection. Our study demonstrates that infection with P. locustae may lead gregarious locusts to change some of their behaviour to that typical of solitary locusts.

Locusts and remote sensing: a review

A dozen species of locusts (Orthoptera: Acrididae) are a major threat to food security worldwide. Their outbreaks occur on every continent except Antarctica, threatening the livelihood of 10% of the world’s population. The locusts are infamous for their voracity, polyphagy, and capacity for long-distance migrations. Decades of research revealed very complex bio-ecology of locusts. They exist in two, inter-convertible and density-dependent states, or “phases.” Despite the evident progress in understanding locust behavior, our ability to predict and manage locust outbreaks remains insufficient, as evidenced by locust plagues still occurring during the 21st century. One of the main reasons is that locusts typically inhabit remote and scarcely populated areas, and their distribution ranges often spread across continents. This creates tremendous obstacles for locust population monitoring and control. Traditional ground locust surveys are inadequate to address the enormous spatial scale of the locust problem in a limited window of time dictated by the pest’s development. Remote sensing (satellite information) appears a promising tool in locust monitoring. Satellite data are increasingly used for monitoring and forecasting two locust species, the desert and the Australian plague locust. However, applications of this geospatial technology to other locust species remain rare.

The Mechanics and Trajectory Control in Locust Jumping

Locusts (Locusta migratoria manilensis) are characterised by their flying ability and abiding jump ability. Research on the jumping mechanics and behavior of locusts plays an important role in elucidating the mechanism of hexapod locomotion. The jump gestures of locusts were observed using high-speed video camera at 250 fps. The reaction forces of the hindlegs were measured using two three-dimensional sensors, in case the two hindlegs attached on separated sensor plates. The jump gestures and reaction forces were used to illustrate the locust jumping mechanism. Results show that the trajectory control is achieved by rapid rolling and yawing movements of the locust body, caused by the forelegs, midlegs and hindlegs in different jumping phases. The final jump trajectory was not determined until hind tarsi left platform. The horizontal co-impulse between two hindlegs might play a key role in jump stability and accuracy. Besides, the angle between two hindlegs affects the control of jump trajectory but has a little effect on the elevation angle of a jump, which is controlled mechanically by the initial position of the hindlegs. This research lays the groundwork for the probable design and development of biomimetic robotics.

Influence of light and mechanical stimuli on behavior of locust

Influence of light and mechanical stimuli on behavior of locust

From individual to collective behaviour of coupled velocity jump processes: A locust example

A class of stochastic individual-based models, written in terms of coupled velocity jump processes, is presented and analysed. This modelling approach incorporates recent experimental findings on the behaviour of locusts. It exhibits nontrivial dynamics with a pitchfork bifurcation and recovers the observed group directional switching. Estimates of the expected switching times, in terms of the number of individuals and values of the model coefficients, are obtained using the corresponding Fokker-Planck equation. In the limit of large populations, a system of two kinetic equations (with nonlocal and nonlinear right hand side) is derived and analyzed. The existence of its solutions is proven and the system's long-time behaviour is investigated. Finally, a first step towards the mean field limit of topological interactions is made by studying the effect of shrinking the interaction radius in the individual-based model.

Grip and detachment of locusts on inverted sandpaper substrates

Locusts (Locusta migratoria manilensis) are characterized by their strong flying and grasping ability. Research on the grasping mechanism and behaviour of locusts on sloping substrates plays an important role in elucidating the mechanics of hexapod locomotion. Data on the maximum angles of slope at which locusts can grasp stably (critical angles of detachment) were obtained from high-speed video recordings at 215 fps. The grasping forces were collected by using two sensors, in situations where all left legs were standing on one and the right legs on the other sensor plate. These data were used to illustrate the grasping ability of locusts on slopes with varying levels of roughness. The grasping morphologies of locusts' bodies and tarsi were observed, and the surface roughness as well as diameters of their claw tips was measured under a microscope to account for the grasping mechanism of these insects on the sloping substrate. The results showed that the claw tips and part of the pads were in contact with the inverted substrate when the mean particle diameter was in the range of 15.3–40.5 µm. The interaction between pads and substrates may improve the stability of contact, and claw tips may play a key role in keeping the attachment reliable. A model was developed to explain the significant effects of the relative size of claw tips and mean particle diameter on grasping ability as well as the observed increase in lateral force (2.09–4.05 times greater than the normal force during detachment) with increasing slope angle, which indicates that the lateral force may be extremely important in keeping the contact reliable. This research lays the groundwork for the probable design and development of biomimetic robotics.

Acanthamoeba produces disseminated infection in locusts and traverses the locust blood-brain barrier to invade the central nervous system

BackgroundMany aspects of Acanthamoeba granulomatous encephalitis remain poorly understood, including host susceptibility and chronic colonization which represent important features of the spectrum of host-pathogen interactions. Previous studies have suggested locusts as a tractable model in which to study Acanthamoeba pathogenesis. Here we determined the mode of parasite invasion of the central nervous system (CNS).ResultsUsing Acanthamoeba isolates belonging to the T1 and T4 genotypes, the findings revealed that amoebae induced sickness behaviour in locusts, as evidenced by reduced faecal output and weight loss and, eventually, leading to 100% mortality. Significant degenerative changes of various tissues were observed by histological sectioning. Both isolates produced disseminated infection, with viable amoebae being recovered from various tissues. Histological examination of the CNS showed that Acanthamoeba invaded the locust CNS, and this is associated with disruption of the perineurium cell/glial cell complex, which constitutes the locust blood-brain barrier.ConclusionsThis is the first study to demonstrate that Acanthamoeba invades locust brain by modulating the integrity of the insect's blood-brain barrier, a finding that is consistent with the human infection. These observations support the idea that locusts provide a tractable model to study Acanthamoeba encephalitis in vivo. In this way the locust model may generate potentially useful leads that can be tested subsequently in mammalian systems, thus replacing the use of vertebrates at an early stage, and reducing the numbers of mammals required overall.

Locusts as model organisms in which to study immunogen-induced anorectic behaviour

When injected into adult or nymphal Locusta that have been deprived of food for 2 h, immunogens such as laminarin and bacterial LPS can induce an almost immediate dose-dependent state of anorexia for at least 1 h. Such anorexia is a component of a medley of physiological and behavioural changes called collectively ‘sickness behaviour’ that occurs in a wide range of animals in response to infection or immune challenge. Sub-optimal amounts of injected laminarin allow some locusts to feed, but with a longer latency than in controls, although the length of the first meal is unaffected. The feeding behaviour of fifth instar nymphs is more sensitive to laminarin than that of adults, but both stages respond to amounts of immunogen that are lower than those required to activate the phenoloxidase cascade. Injection of adipokinetic hormone (AKH) before the period of food deprivation prevents the anorexigenic action of the laminarin in adults but not in nymphs. It is argued that the effect of the AKH may be indirect, through its lipid-mobilising action. The insecticide pymetrozine increases the latency to feed but also reduces the length of the first meal, and its anorexigenic activity is not affected by injection of AKH. The present data support the concept that laminarin-induced anorexia involves a central lack of motivation to eat, rather than a ‘stop eating’ signal. Others have shown that the mechanism of action of pymetrozine involves the serotonergic system and can be blocked by mianserin, so it is intriguing that in the present study injection of mianserin prior to that of laminarin modulates the anorexigenic effect of the immunogen. This suggests that biogenic amines are involved in the control of appetitive behaviour in locusts, as they are in vertebrates. The possible usefulness of the locust model in studying sickness-induced anorexia is discussed briefly.

The role of contact chemoreception in egg-laying behaviour of locusts

Following selection of an appropriate egg-laying site desert locusts lay their eggs at depths in soil by digging their abdomen into the substrate using rhythmic movements of their abdomen and hard, sclerotised ovipositor valves. We have analysed the role of contact chemoreception on egg-laying behaviour and on the rhythmic digging movements of the valves. All chemicals tested acted aversively and reduced both the duration spent egg-laying and the number of eggs laid, with the concentration at which they became aversive being dependent on whether the chemical was normally present in the diet. Chemicals such as sucrose and a lysine glutamate salt prevented egg-laying only at much higher concentrations than known anti-feedants such as nicotine hydrogen tartrate and hydroquinine. Similarly for animals in which fictive digging movements were induced all chemicals stopped the digging rhythm, with sucrose and sodium chloride inhibiting the rhythm at relatively high concentrations compared to NHT and hydroquinone. We conclude that for both egg-laying behaviour and rhythmic digging that the aversiveness of a chemical rather than its identity per se plays a major role in regulating behaviour.

Food distance and its effect on nutrient balancing in a mobile insect herbivore

We investigated how the distance between foods of differing nutrient content affects macronutrient (protein and digestible carbohydrate) regulation and the patterns of food acquisition, movement and feeding activity in fifth-instar nymphs of Locusta migratoria (L.) (Orthoptera: Acrididae). We placed individual insects into one of three differently sized circular arenas (20, 40 or 80 cm diameter) that contained four dishes of chemically defined synthetic food. One of these dishes contained high-protein, low-carbohydrate food (P), and the other three dishes contained low-protein, high-carbohydrate food (C). Alone, these foods are nutritionally unbalanced, but together they are complementary. Regardless of arena size, locusts regulated their protein–carbohydrate intake to similar points, and in all three arenas they ate preferentially from the dish containing the P-food. We also recorded the patterns of foraging behaviour for 12 h on days 1 and 4 of the experiment, which allowed us to determine the effect of distance between foods and whether behaviour was modified with experience in the different arenas. Locusts' foraging behaviour in small arenas was similar on days 1 and 4, and the time they spent in different parts of the arena did not differ from that predicted by the simplest random probability model. In contrast, the foraging behaviour of locusts in the medium and large arenas changed between days 1 and 4, including spending more time in the area of the arena containing the P-food and visiting fewer of the C-food dishes. We discuss how distance between foods influences foraging strategies, and the possible role of learning in its development. Copyright 2003 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour.