Pest Abundance Research Articles

Evaluating the use of in-season measures of pest abundance to predict end-of-season damage: a study in commercial almond (Prunus dulcis).

Pre-harvest pest management tools are essential to minimizing crop loss. The development of predictive models using early warning signs of pest abundance to predict imminent crop loss can guide management decisions and enable targeted, well-calibrated intervention. With sufficient data, in-season measures of pest abundance can be an important factor in generating accurate predictions of damage. However, sampling plans for tracking insect phenology and those designed to guide informed pest-management may not be equivalent. Using data from a commercial almond orchard setting, we evaluated five different lure-trap combinations used for monitoring navel orangeworm (Amyelois transitella; a primary pest of almond) under different management conditions. Using these data, we developed a predictive model of almond damage and evaluated the contribution of in-season measures of pest abundance towards accurate predictions of end-of-season damage. Mating disruption in orchard management influenced the efficacy of multiple lure-trap combinations. Despite this effect, there was as strong correlation between measured pest abundance and damage across multiple trap types regardless of management method. While statistically significant, measures of pest abundance did not enhance the accuracy of predictive models and characteristics of almond variety were stronger predictors of damage at harvest. Repeated significant correlations between navel orangeworm abundance and almond damage across multiple trap types justifies continued exploration of predictive modeling as a management tool. Lure-trap combinations exhibiting resistance to external factors are clear candidates for further development. However, generating accurate predictions of damage using these data will likely require calibration or modification of current sampling protocols. © 2024 Society of Chemical Industry. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Arthropod removal in wheat fields enhanced yield regardless of natural habitat patch proximity

Natural habitat patches can be essential in conserving biodiversity and providing ecosystem services for agroecological systems. However, adopting a land-sharing approach requires a deep understanding of the agricultural costs and benefits associated with the existence of adjacent natural habitat patches. We used 17 paired natural habitat patch-wheat field replicates to test the effects of distance from the natural patches and removal of ground-dwelling arthropods from the field on the wheat yield. Removing ground-dwelling arthropods increased wheat yield. Community compositions of ground-dwelling arthropods in the natural habitat patches and wheat fields varied significantly, irrespective of the distance from the natural patch. In April and May, near the wheat harvest, predator abundance was higher in the natural habitat patches than in the wheat fields, whereas the abundance of potential pests was much higher in the wheat fields. This reduced predator-pest ratio in the wheat fields may explain why removing ground-dwelling arthropods increased wheat yield. Future research should focus on developing effective methods for managing ground-dwelling and vertical wheat pest populations while preserving their natural enemies' integrity within the fields and adjacent natural habitat patches.

Assessment of Lepidopteran Pest Dynamics in Maize: Dominance of Spodoptera frugiperda and Implications for Targeted Management in Himachal Pradesh, India

Maize (Zea mays L.) plays a crucial role in the agricultural economy of India, particularly in Himachal Pradesh, where it serves as a vital crop for food, feed, and fodder. This study assessed the distribution, and relative abundance of lepidopteran pests infesting maize during the kharif, 2022-23 across two agro-climatic zones of Himachal Pradesh. Surveys identified five key lepidopteran pests: Spodoptera frugiperda, Chilo partellus, Mythimna separata, Agrotis ipsilon, and Euproctis spp. Among all, S. frugiperda is the only pest occurring among the major three crop stages of maize. The findings revealed that S. frugiperda was the most dominant pest, with relative abundance values of 19.57 per cent in Zone I and 18.94 per cent in Zone II during the seedling stage, increasing to 30.87 per cent and 30.40 per cent during the vegetative stage, respectively. In contrast, other pests like C. partellus, M. separata, A. ipsilon, and Euproctis spp. exhibited variable distribution patterns, with some showing limited occurrence. In conclusion, this study underscores the necessity for targeted pest management strategies to address dominant and subdominant lepidopteran pests in maize cultivation in Himachal Pradesh. The results offer valuable insights that can inform focused pest control efforts, with the potential to significantly enhance sustainable maize production, crop resilience and overall productivity in the region.

Abundance and diversity of cotton insect pests under repeatedly cultivated cotton fields of Tanzania.

Cotton production in Tanzania is facing significant challenges due to insect pests that cause extensive damages to the crop. The most notable pests include the African bollworm (Heliothis armigera Hubner), Spiny bollworm (Earias biplaga Walker), Cotton stainers (Dysdercus sidae (Herrich-Schaeffer), Cotton Aphids (Aphis gossypii Glover), Thrips (Thrips tabaci Lindeman), Jassids (Amrasca biguttula, Bigutula), Leafhoppers (Cicadellidae jassidae), and Whiteflies (Bemisia tabaci Genn). If left uncontrolled, these pests can cause up to 60% damage to the crop. Despite the importance of cotton and the fact that most of these pests are endemic, there are scanty knowledge on the dynamics and distribution of cotton pests across the seasons of the year and crop's phenological growth stages (germination, vegetative growth, flowering and boll formation) in areas under repeated cultivation of the crop in Tanzania. Here we report on the influence of seasons and cotton's phenological stages on the abundance, diversity, distribution and richness of cotton insect pests. The study was conducted in the Misungwi district for two cotton-growing seasons, using the UKM08 cotton variety. Stick traps and handpicking methods were deployed in catching the cotton insect pests. On average, a total of 8,500 insect specimen of diverse families and species were collected every season. The four dominant species among the collected were Aphis gossypii (17.37%), Amrasca biguttula (11.42%), Nezara viridura (10.7%), and Bemisia tabacci (10.68%). Both cotton phenological growth stages and seasons significantly (p<0.05) influenced the abundance, diversity, distribution and richness of cotton insect pests. In particular, the phenological growth stage 3 exhibited greater diversity of insect pests. The pests' distribution patterns remained relatively uniform across the crop growth stages. Findings from the present study could contribute to developing sustainable pest management strategies in areas under repeated cotton production in Tanzania and elsewhere.

Tithonia diversifolia (Asteraceae) as a reservoir of natural enemies to promote pest control and improve development of tomato (Solanum lycopersicum) in open conditions

ABSTRACT Tithonia diversifolia has the potential for use as a reservoir for entomophages in pest control, as it attracts and preserves natural enemies before migrating to the target crop, where a high incidence of pests occurs. For example, in tomato crop production one of the limiting factors, under field condition, is the incidence of phytophagous insects. We determined the effects of Tithonia diversifolia on species assemblage structure of natural enemies and pest insects (abundance and diversity), plant growth (leaf area, stem length and diameter, number of leaves, flowers and fruits, and fruits weight/per plant), plant defense (leaf thickness and hardness) and fruit colouration on tomato plants in open conditions. Through direct and indirect samplings, a total of 456 insects were collected, comprising 76 natural enemies, 269 pests and 111 belonging other guilds. Length, stem diameter, number of flowers, leaf thickness, and hardness increased, while the number of leaves decreased. T. diversifolia plants increased natural enemies but not pest abundance in tomato plants, demonstrating that this plant can alter the structure of the insect community associated with tomato.

Field abundance and spatial patterns of ear-feeding insect pests in relation to levels of defective kernels in processing sweet corn.

In this study, we investigated the within-field distribution of sweet corn insect pests in relation to adjacent habitats and determined the level and specific causes of defective kernels affecting the quality of the final product at the processing cannery. Sap beetles [primarily Carpophilus lugubris (Murray, 1864) (Coleoptera: Nitidulidae)] and stink bugs [primarily Euschistus servus (Say) ((Heteroptera: Pentatomidae)] infested 27.6% and 73.6% of the fields, respectively. Densities of stink bugs were highest along field edges adjacent to wheat, soybean, vegetable crops, and woodlots. Levels of kernel injury were consistently higher in truckloads of ears harvested first from the outer rows. Earworm damage was confined to the ear tip and had no measurable impact on the quality of the final product. Sap beetles and blemished kernels were the major causes of defective kernels in the cannery, even though stink bugs were more abundant in the fields. Defective kernels were more positively related to physiological blemishes than to other causal factors. For all fields, defective kernel levels averaged less than 1%, resulting in excellent quality of the processed product throughout the entire season. Results provided a better understanding of the quality control issues, resulting in practical implications for improvements in field monitoring and decision-making in the cannery to minimize grading problems.

FLUCTUACIÓN POBLACIONAL DE LAS PRINCIPALES PLAGAS Y DE SUS ENEMIGOS NATURALES EN ALGODÓN TANGÜIS EN LA MOLINA, LIMA, PERÚ

Population fluctuations of Aphis gossypii, Chloridea virescens, Anthonomus vestitus, Dysdercus peruvianus and Pectinophora gossypiella, besides their natural enemies were studied during the entire phenological period of a Tangüis cotton crop at La Molina (Lima), using three sampling techniques: direct plant evaluation, plant shake falls and pitfall traps. A. gossypii was the most abundant pest, being more important in the vegetative development, followed by D. peruvianus and 1. gossypiella, both with greater importance in the fructification stage. Predatory insects and spiders were recorded during the whole crop period, where the most frequent were, in predatory insects Hippodamia convergens, Hyalochloria denticornis and Rhinacloa forticornis, and in spiders Misumenops sp. morpho 1, Zelotes laetus and Theridion volubile. Parasitoidism was low or scarce in most of the pests, highlighting Lysiphlebus testaceipes as A. gossypii parasitoid due to its abundance in the vegetative development of the cotton field.

Diversity and Relative Abundance of Insect Pests and Natural Enemies in Bacillus Treated Rice

Diversity and Relative Abundance of Insect Pests and Natural Enemies in Bacillus Treated Rice

Diversity and Relative Abundance of Insect Pests and Natural Enemies in Organic Rice

A study was conducted to decipher diversity and relative abundance of insect pests, hemipteran predators and hymenopteran parasitoids in organic rice transplanted at the research farm of the Indian Institute of Rice Research, Rajendranagar, Hyderabad during Rabi, 2020. Yellow pan traps, visual count, yellow sticky traps, sweep net and D-net methods were used for collecting insect specimens. A total of 543 insect pest individuals belonging to 12 families, 678 Hemipteran predators belonging to 9 families and 2193 parasitoids of 10 families were collected. The most abundant families among insect pests, predators and parasitoids were Cicadellidae, Miridae and Eulophidae with a relative abundance of 32.41, 81.56 and 72.55%, respectively. Shannon weiner index of insect pests, predators and parasitoids was 1.81, 0.72 and 0.99 respectively. Further, Margelef diversity index of insect pests, predators and parasitoids was 1.75, 1.23 and 1.43, respectively. Furthermore, the Pielou’s eveness index was 0.73, 0.33 and 0.40, respectively. Visual count for pests, yellow sticky traps for predators and parasitoids were adjudged the most effective methods of collection.

First record of Leucoptera malifoliella (O. Costa, 1836) (Lepidoptera: Lyonetiidae) in Tunisia

AbstractThe leaf blister moth, Leucoptera malifoliella is an invasive pest of apple and other Rosaceae species. It causes significant damage to apple leaves, threatening the production quality and the overall health of the tree. In this paper, we report the first record of L. malifoliella in Tunisia and give details of its distribution in apple orchards of central west Tunisia (Kasserine governorate). After signs of the pest were observed, cocoons were collected from the field and reared until adult eclosion. Identification of the species was based on observations of external morphology in the laboratory in addition to the field diagnosis based on larval damage on leaves. Leucoptera malifoliella was collected firstly in Foussana delegation, then in Sbeitla, Sbiba, Djedliane, Kasserine and Feriana delegations, showing that it is widely spread in the Kasserine governorate. This leaf miner was clearly identified as one of the most abundant pests in some localities. This paper describing the first record of L. malifoliella in central west Tunisia aims to raise awareness on the pest and encourage the collaboration between apple producers, researchers and extension services in the region to establish a programme of monitoring and managing the pest.

Assessment of major insect pests of golden melon (Cucumis melo L.) and control with commercial Beauvaria bassiana in Abeokuta Southwestern, Nigeria

Pest infestation is a major challenge in production of golden melon, this study evaluated the performance of Beauvaria bassiana, a non-residual bio-pesticide, for effectiveness against insect pests of golden melon. The field experiment was carried out in 2022 to establish the effect of B. bassiana sprayed at different growth stages on the abundance of insect pests, damage, agronomic characteristics and fruit quality of golden melon. The results showed Aulacophora spp., Aphis gossypii, Epilachna chrysomelina, Bemisia tabaci Coridius viduatus and Zonocerus variegatus as the insect pests attacking golden melon in the study area. However, the population densities of Aulacophora spp. and E. chrysomelina were significantly lower in golden melon sprayed with B. bassiana at all compared to other spray treatments and the control. Percentage leaf damage and yield loss (20.81% and 327.70 g) in golden melon sprayed with B. bassiana at all stages were similar to lambda-cyhalothrin-sprayed plot (13.68 % and 318. 70 g). Also, highest percent leaf damage and yield losses (81.54 % and 1395.70 %) were obtained in the control plots relative to other spray treatments. Number of leaves and percentage increase in vine length were significantly higher in the golden melon sprayed with B. bassiana at all stages. There was 215.80 % increase in yield of golden melon sprayed with B. bassiana at all stages over the control in the study. Also, the nutritional composition of the fruits from the untreated plots was similar to that of the treated plots

Feeding Preferences of the Bean Leaf Beetle (Ootheca spp.) (Coleoptera: Chrysomelidae): Insights for Targeted Pest Control Strategies in Uganda.

The bean leaf beetle (BLB) (Ootheca spp.) is a polyphagous pest causing significant yield losses in Uganda, particularly in the Northern and Eastern regions on various hosts plants. Despite its polyphagous behaviour, the BLB exhibits preferential feeding, offering an opportunity for targeted pest management. This study explored its feeding preferences across seven crops: common bean, cowpea, greengram, okra, roselle (malakwang), groundnuts, and soybean. This study was conducted in Arua and Lira districts using a randomized complete block design for two rainy seasons (2018A and 2018B). The results showed significant differences in BLB abundance and foliar damage among host crops, locations, days after planting and seasons. Cowpea was the most preferred crop while groundnuts was the least preferred. Therefore, cowpea can be recommended for use as a trap for managing Ootheca spp. in gardens where it is not the main crop. There was a higher pest abundance in Arua than in Lira. There was also a higher pest abundance in 2018A than in 2018B. These findings highlight the importance of understanding BLB's feeding preferences for implementing effective IPM strategies, emphasizing the potential role of trap cropping, especially with cowpea, to minimize BLB damage in resource-constrained agricultural settings.

Effects of Physiological Status and Environmental Factors on the Lure Responses of Three Pest Fruit Fly Species (Diptera: Tephritidae)

Biotic and abiotic factors influence how insects respond to stimuli. This can make it challenging to interpret captures in traps used to monitor pest abundance in management programmes. To address this, the lure response of three pest fruit flies (Diptera: Tephritidae) was evaluated in a semi-field setting with respect to several physiological and environmental factors. Using standardised methods with known fly numbers in field cages, the response to Biolure (food-based lure) was evaluated for Ceratitis capitata, Ceratitis cosyra and Bactrocera dorsalis. Response to the male lures was tested: E.G.O PheroLure for C. capitata and C. cosyra, Trimedlure for C. capitata, and methyl eugenol for B. dorsalis. The physiological variables evaluated were fly age, sex, weight, and total body nutritional composition. The environmental effects of temperature, relative humidity and light intensity were also assessed. Protein-deprived adults responded more strongly to Biolure. The response to Biolure was not sex-specific. Fly age influenced the response of all species to all tested lures. However, this effect was species and lure specific. Temperature was the most influential environmental factor, with response generally increasing with temperature. Lower thresholds for lure response, despite the proximity of responsive flies, range from 12.21 to 22.95 °C depending on the species and lure tested. These results indicate that trapping systems and management activity thresholds must take physiological and environmental variation into account to increase their accuracy.

Resource overlap and infrequent predation on key pests show vulnerability in cotton biological control services

Promoting arthropod biodiversity to increase ecosystem services through ecological intensification is a challenge for agriculture. And recent evidence suggests that standard pesticide applications not only harm natural enemies but may also fail to deliver long-term pest control solutions. To fuel ecological intensification and build predictive frameworks for pest management incorporating estimates of pest abundance, natural enemy abundance and their associated interactions is essential. Within this framework, there is a need to shift the focus from a single pest and predator to consider the community of predatory arthropods that interact with communities of prey. We took a network-based approach to investigate community interactions of predatory arthropods that feed on key pests and alternative prey in cotton over a three-year period. We merged prey activity, generalist predator communities collected from cotton canopies, and reconstructed trophic interactions with DNA detection frequencies estimated from molecular gut content analysis. Overall, many predator diets overlap, resulting in similar foraging patterns on groups of cotton pests. Moreover, predation on key cotton pests, such as stink bugs and white flies, was low. Therefore, ecological intensification that increases specialized arthropod predators within the community should improve biological control service delivery.

An Autoregulatory Model of Forest Insect Population Dynamics and Forest Stand Damage Dynamics in Different Habitats: An Example of Lymantria dispar L.

This paper addresses the problem of constructing a mathematical model of population density dynamics and the dynamics of forest areas damaged by spongy moth (Lymantria dispar L.) outbreaks in the United States, Europe, Russia, and Japan. The key variable of the model is either the pest population density or the area of forests damaged by spongy moths during a season. This variable can be considered proportional to the total current pest abundance in the study area. For the purposes of modeling, data from a number of different authors was used (see bibliography), as well as data from surveys conducted at the egg or caterpillar stage. The complexity of modeling the dynamics of L. dispar abundance is largely due to the fact that, when studying the dynamics of spongy moth population density, the values of external factors such as parasites, predators, and the amount of available food are often unknown. A simple model was proposed using only two types of data: population density and monthly weather characteristics. Our analysis demonstrated that, even in the absence of knowledge regarding the characteristics of ecosystem components interacting with the spongy moth population (parasites, predators, and the state of forage trees), it is possible to introduce models that characterize the regulatory processes in the population in terms of (i) the presence of negative and positive feedbacks in the system and (ii) the influence of external weather factors. The system under investigation was described as an autoregressive system, whereby the current state of the population is dependent on its state in previous years. The order of autoregression in the system was estimated using the order of the maximum significant partial autocorrelation function. It was found that the regulation of spongy moth population density was characterized by the presence of two feedback loops: positive feedback between the current population density and the population density in the previous season and negative feedback between the current population density and the population density two years ago. To evaluate the model, its stability margin was calculated and found to be directly proportional to the positive feedback coefficient and inversely proportional to the negative feedback coefficient. The model was demonstrated to explain up to 90% of the observed variance of real data. Although the model coefficients for different local populations (North America, Europe, and Asia) differ, the general form of the equation describing both direct data on population densities and indirect data on pest dynamics characterized by areas of stand damage is consistent. Consequently, the form of the ADL model is general, irrespective of the location of the local population.

Tree species richness and ash density have variable effects on emerald ash borer biological control by woodpeckers and parasitoid wasps in post-invasion white ash stands.

Emerald ash borer (EAB) (Agrilus planipennis Fairmaire) (Coleoptera: Buprestidae) is the most destructive insect to invade North American forests. Identifying habitat features that support EAB natural enemies is necessary to enhance EAB biological control. In many forest ecosystems, tree species diversity has been linked with reduced pest abundance and increases in natural enemy abundance. We assessed the influence of tree species richness, ash density, and proportion of total ash basal area on ash canopy condition, EAB larval densities, and biocontrol by woodpeckers and parasitoids in pairs of healthy and declining overstory (DBH > 10 cm) and recruit-sized ash (DBH 2-10 cm) in 4 post-invasion forests in Michigan, USA. Tree species richness and ash density were not significantly associated with EAB larval densities, ash canopy dieback and transparency, and woodpecker predation of EAB larvae. In declining and healthy overstory ash, woodpeckers killed 38.5 ± 3.9% and 13.2 ± 3.7% of larvae, respectively, while the native parasitoid Phasgonophora sulcata Westwood killed 15.8 ± 3.8% and 8.3 ± 3.0% and the introduced parasitoid Spathius galinae Belokobylskij & Strazanac killed 10.8 ± 2.5% and 5.0 ± 2.6% of EAB larvae. Parasitism by P. sulcata was inversely related to ash density while parasitism by S. galinae was positively associated with ash density. Ash density, but not tree diversity, appears to differentially influence biological control of EAB by parasitoids, but this effect is not associated with reduced EAB densities or improved canopy condition.

Panicle compactness along with abiotic factors influence the abundance of earhead feeding insect pests of sorghum [Sorghum bicolor (L.) Moench]

Panicle compactness along with abiotic factors influence the abundance of earhead feeding insect pests of sorghum [Sorghum bicolor (L.) Moench]

How plant composition in margins influences the assemblage of pests and predators and its effect on biocontrol in melon fields

Many agricultural landscapes offer few resources for maintaining natural enemy populations and floral plantings have frequently been adopted to enhance biological pest control in crops. However, restored margins may harbour both pests and natural enemies. The aim was to compare the abundance of pests and natural enemies in three types of margins (unmanaged, sown herbaceous floral strips and shrubby hedgerows) as well as in adjacent melon fields. Besides, yield was compared among melon fields as way of testing the effect of the type of margin on biocontrol. The research was carried out during 2 years in twelve melon fields from four different locations in southern Spain. Arthropods were sampled periodically in margins and melon fields by visual inspections and Berlese extraction. Hedgerow and floral strips hosted higher numbers of both pests and predators than unmanaged margins. Besides, hedgerows had a similar or higher number of natural enemies than floral strips but lower number of pests. In just a few occasions, the type of margin had a significant effect on the abundance of pests and natural enemies in melon fields, but rarely there was consistency between the two growing seasons. No differences were found in yield. We hypothesised that the lack of association in the abundances of pests and natural enemies between margins and melon fields could be attributed to the overriding effects of the landscape and/or the internal population dynamics of arthropods in melon fields. Overall, shrubby hedgerows are more recommended than herbaceous floral strips.

A Survey on the Diversity of Field Insect Pests of Okro (Abelmoschus Esculentus) within the Six Adp Zones in Akwaibom State

A survey was conducted to determine the diversity and abundance of insect pests associated with okra (Abelmoschus esculentus) across the six Agricultural Development Programme (ADP) zones in Akwa Ibom state namely; Uyo, Abak, Eket, Ikot ekpene, Etinan and Oron using multi – stage random sampling technique, swoop nets for flying insects, aspirators for collecting tiny insects, pair of forceps and hand picking for larvae and slow moving insects. A total of 634 insects were collected across the six zones and identified into 4 orders, 13 families and 15 species. The dominant order by specie was Hemiptera having (6/40%) followed by Lepidoptera (4/26.67%), Coleoptera (3/20%) and the least was Orthoptera having (2/13.33%) while dominant order by individuals was Coleoptera having 279/44.01%), followed by Hemiptera (244 /38.49%), Lepidoptera (68/10.73%) and the least was Orthoptera (43/6.78%). Dominant insect specie across the six zones was Flea beetle (Podagrica sp.) with total population of 185 followed by Aphids (Aphis gossypii - 98) and the least was Cabbage looper (Trichoplusia ni – 7). Diversity index result showed that Eket zone had the highest no. of individuals (122) with the least no. of species (12) and least Shannon index value (H_ 2.11) followed by Oron zone with 112 individuals, no. species (13) and shannon index ( H_2.31). Uyo zone had the least no. of individuals (93), no. species (13) and Shannon index (H_2.21) while Ikot ekpene zone had the highest Shannon index value (H_2.34) and highest no. of species (14) with no. of individual (101). This study reveals that there is high diversity and abundance of insect species attacking okra in Akwa Ibom State hence drastic control measures is imperative for successful and profitable production of Okra.

Biomonitoring of biocontrol across the full annual cycle in temperate climates: Post‐harvest, winter and early‐season interaction data and methodological considerations for its collection

Abstract Conservation biocontrol, the regulation of crop pests by naturally occurring biocontrol agents (e.g., predators and parasitoids), is predominantly monitored throughout periods of primary crop growth when pests exert the most observable impact on yields. Pest‐focused agricultural biomonitoring often overlooks post‐harvest, winter and even early‐season biocontrol, despite the significant predator–pest interactions during these periods that profoundly affect pest abundance and, consequently, crop yields. Rapid advances in biomonitoring, particularly in the detection of predator–pest interactions that underpin biocontrol, provide an opportunity to reconsider how and when we monitor these interactions. Advances in agricultural biomonitoring must transcend methodological innovation and encompass conceptual changes in the monitoring of agricultural systems. Here, we assess existing evidence supporting the importance of periods beyond primary crop growth for biocontrol and how predator–pest interactions are likely to evolve during these periods, subsequently influencing pest population dynamics during the primary crop growth period. We advocate for a greater concerted effort to establish continuous monitoring of biocontrol interactions, particularly beyond primary crop growth periods in temperate climates. To facilitate this, we also summarise the methodological approaches that can make it possible and explore how extending sampling across the full annual cycle might impact the practicalities and outcomes of these approaches. Year‐round monitoring of biocontrol interactions, both in crops and adjacent semi‐natural habitats, will provide a previously intractable understanding of predator–pest dynamics, offering significant potential to enhance our ability to optimise and manipulate these systems. This would manifest in reduced crop yield losses, pest infestation rates and disease transmission, with concomitant long‐term financial, environmental and land‐use benefits.