Journal of Threatened
Taxa | www.threatenedtaxa.org | 26 February 2026 | 18(2): 28296–28306
ISSN 0974-7907 (Online) | ISSN 0974-7893 (Print)
https://doi.org/10.11609/jott.9639.18.2.28296-28306
#9639 | Received 21 January 2025 | Final received 16 January 2026 |
Finally accepted 06 February 2026
Comparing three sampling
techniques for surveying and monitoring arthropods in Moroccan agroecosystems
University Ibn Tofail, Faculty of Sciences, Department of Biology,
Laboratory of Plant, Animal and Agro-Industry
Productions, Kenitra, Morocco.
Editor: Shiju
T. Raj, St. Joseph’s College, Devagiri, Kozhikode,
India. Date of publication: 26 February 2026 (online & print)
Citation: El Harche, H. (2026). Comparing three sampling techniques for
surveying and monitoring arthropods in Moroccan agroecosystems. Journal of Threatened Taxa 18(2): 28296–28306. https://doi.org/10.11609/jott.9639.18.2.28296-28306
Copyright: © El Harche 2026. Creative Commons Attribution 4.0
International License. JoTT allows unrestricted use,
reproduction, and distribution of this article in any medium by providing
adequate credit to the author(s) and the source of publication.
Funding: None.
Competing interests: The author declares no competing interests.
Author details: Hanae El Harche, PhD, from Ibn Tofail University in Morocco, is a
specialist in animal ecology, entomology, systematics, and faunistics. Her work focuses on understanding spatial and seasonal patterns of arthropod communities and assessing the influence of human activities on their distribution. She has played a pivotal role in creating a comprehensive checklist of terrestrial arthropods in agroecosystems of northwest Morocco, providing a valuable resource for biodiversity research and conservation
Acknowledgements: I would like to thank the reviewers and editors for their careful reading of the manuscript and for their insightful comments and suggestions, which greatly improved the quality of this work.
Abstract: Insect monitoring is a key
component of sustainable and productive crop management. Among the various
methods used to observe insect communities, pitfall trapping, visual searching,
and sweep-net sampling of vegetation are the most widely applied. Selecting an
appropriate sampling method is essential to obtain a comprehensive and accurate
representation of species diversity. However, there is a notable lack of
quantitative studies comparing the relative effectiveness of these techniques
across different insect taxa In Morocco.In this
study, the efficiency of three sampling strategies—pitfall trapping, mowing
(sweep sampling of herbaceous plants), and visual searching—was evaluated to
assess arthropod abundance and diversity in agroecosystems of northwestern
Morocco. Between spring and summer 2020, a total of 69 species belonging to
seven orders and 27 families were recorded. Pitfall traps and visual searching
proved most effective for capturing ground beetles, whereas mowing herbaceous
vegetation was particularly effective for collecting flying insects.These results highlight the importance of
carefully selecting sampling techniques to ensure accurate estimates of
arthropod diversity and abundance. Combining multiple methods provides a more
comprehensive overview of arthropod communities in any ecosystem, including
agroecosystems.
Keywords: Arthropod abundance, arthropod
diversity, ground beetles, flying insects, insect sampling, Morocco, mowing
vegetation, pitfall traps, sight hunting, sustainable crop management.
INTRODUCTION
Over the past few decades, the
importance of biodiversity in agroecosystems has been increasingly recognized,
largely due to the ecosystem services it provides, including nutrient cycling,
biotic regulation, pest control, and pollination (Gardarin
et al. 2018; Galloway et al. 2021). Beneficial arthropods, such as crop
pollinators and natural enemies of arthropod pests and weeds, play a central
role in sustaining the ecological and economic productivity of these systems (Carvalheiro et al. 2010; Galloway et al. 2021). These
services are a direct result of biological processes within the ecosystem,
highlighting the intrinsic link between biodiversity and ecosystem
functionality (Taraborelli et al. 2022). However,
land use practices, particularly intensive agricultural management, pose
significant risks to arthropod diversity and abundance (El Harche
et al. 2023). Declines in insect populations, especially pollinators and their
associated plant species, provide strong indirect evidence of these impacts (Biesmeijer et al. 2006).
Given the high rates of species
loss caused by human activities (Dirzo et al. 2014),
obtaining reliable estimates of species richness and abundance is critical for
both biodiversity monitoring and conservation efforts. Standardized sampling
methods are essential to minimize biases and ensure that assessments accurately
reflect the composition of arthropod communities. While numerous insect
sampling techniques exist, most are designed to target specific taxa or respond
to particular stimuli, which limits their ability to capture the full diversity
present in a habitat (Russo et al. 2011). This limitation is especially
pronounced in highly diverse groups such as Coleoptera,
where relying on a single method can provide an incomplete or misleading
picture of the community (García-López et al. 2011).
To address this, entomologists
frequently combine multiple sampling methods in species inventory and
monitoring studies to improve the representativeness of collected data (Quinto
et al. 2013). Using complementary techniques increases the likelihood of
detecting both common and rare species and allows for a more accurate
estimation of community abundance. The careful selection and combination of
methods are therefore critical to avoid biased or insufficient assessments,
which can arise from limited sampling effort or methodological constraints
(Vasconcelos et al. 2014). By employing integrated sampling strategies,
researchers can obtain comprehensive data on species richness and relative
abundance, providing a stronger foundation for ecological studies and
conservation initiatives.
In this study, we aimed to
evaluate the relative effectiveness of three distinct sampling methods for
capturing insect assemblages in agricultural landscapes: (1) pitfall traps, (2)
visual searching, and (3) mowing vegetation combined with sweep-netting.
Specifically, we addressed three research questions: (1) Which of the three
methods collects the highest number of species and individual insects? (2) Does
species composition vary between methods? and (3) Are particular species more
effectively captured by specific techniques? To answer these questions, we
conducted a comprehensive, side-by-side comparison of the three methods, both
individually and in combination, to identify the most effective approach for
inventorying insect communities in agroecosystems
MATERIAL AND
METHODS
Study area
The study took place in three
localities in the Sidi Kacem zone, situated in
northwestern Morocco at 34.217 0N & 5.700 0W. This
zone is characterized by a semi-arid climate. In autumn, it can go down to 6°C,
and during summer over 40°C.
Station 1 has a crop of Vicia faba L.
(Fabaceae), commonly called beans, with a geographical location of 34.210 0N
& 5.7090W, on silty clay soil. Station 2, located at 34.245 0N
& 5.704 0W, is a field of Triticum aestivum L. (Poaceae)
commonly called soft wheat; it shares the same soil type as Station 1, silty
clay. Station 3; 34.255 0N & 5.734 0W, comprises an
alfalfa field with Medicago sativa L. (Fabaceae) and wasteland mainly
covered by Dittrichia viscosa
L. (Asteraceae) with a sandy clay loam.
Arthropod
sampling
Insect sampling was conducted
from spring to summer of 2020, employing three distinct techniques: pitfall,
mowing, and sight hunting. Data was recorded twice a month, from March to
September 2020. All insects were transferred into clean glass bottles or vials
with alcohol (70–80 %) for further processing like pinning, drying, labelling,
and identification in the laboratory.
Pitfall trap
Pitfall traps are a very
effective and widely used method that is accepted for sampling epigeal
arthropods, including beetles, spiders, and ants. Normally, the traps are
placed on the ground to collect insects that live in terrestrial environments.
When an insect approaches the edge of the trap, theoretically, it becomes
destabilized and then falls into the receptacle. Following the inspection of
the container, captured insects are either collected or counted before the trap
is reset. Pitfall traps are in wide use and represent a relatively inexpensive
method for estimating populations of insects. Interestingly, a number of recent
reviews have discussed the methods involved in pitfall trapping (Skvarla et al. 2014; Hohbein
& Conway 2018). It is also not unusual for pitfall traps to inadvertently
capture aerial insects. This statement is especially true for traps without a
roof and painted in white or yellow colours (Buchholz
& Hannig 2013). For the present study, we built
pitfall traps using 1 L clear plastic containers, 10 cm in diameter and 17 cm
in height, by placing them into the substrate so that their edges are level
with the surrounding terrain. Plastic plates attached to rods were placed at
the entrances to prevent the entry of rainwater and foreign materials. The soil
around the entrance was then compressed to reduce any obstruction that may
occur to smaller arthropod species. The specimens collected were stored in
glass containers with 70% alcohol, where they were kept until they were
processed in the laboratory.
Sight hunting
Involved in looking for all the
wildlife that was observable by the eyes, wherever it is likely to be located.
This includes the ground surface, under rocks, the interior of rotting wood,
vegetation, and the surface of tree trunks. When possible, efforts should be
made to collect at least 20 to 25 specimens.
Mowing
vegetation
Mowing vegetation by a
sweep-netting is a commonly used method of sampling arthropods on vegetation.
This method can collect a variety of arthropods, including lepidopterans as
well as hemipterans, beetles, and dipterans. Sweep-netting has important
advantages, including low equipment cost and the potential for a high yield of
specimens per unit effort. A focused sweep was conducted utilizing an
entomological net. We employed a targeted netting strategy combined with timed
observations, employing an active search and net approach. This involved
walking randomly across the site while carefully observing the fields. Any
captured insects were subsequently transferred to vials containing 70% alcohol
for later identification.
Data analysis
To exploit the data obtained,
various ecological indices and statistical analyses were performed. Some of the
analyses include the ecological composition indices (species richness), as well
as the ecological structure indices (Shannon and equitability indices). The
data were analyzed using Microsoft Excel Worksheet (version 16.0 for Windows)
and presented as frequency and percentage for comparison between the different
stations and trapping methods.
RESULTS
Invertebrate
abundance and composition at the three study stations
The results of this study
revealed that a total of 735 insects representing 27 families and 69 species
were collected (Table 1). Among the sampled habitats, the cereal field
exhibited the highest species richness with 55 species, followed by the bean
field with 31 species and the alfalfa field with 28 species. Overall, the
recorded species belonged to seven insect orders: Hemiptera, Coleoptera, Orthoptera, Lepidoptera, Odonata, Hymenoptera,
and Diptera. Coleoptera was
the most species-rich order, accounting for 42 species, followed by Hemiptera
(7 species), Diptera (6 species), Lepidoptera &
Hymenoptera (4 species each), and Orthoptera & Odonata (3 species each), as
shown in Table 1. In terms of abundance, Coleoptera
also dominated across all three sampling stations with 582 individuals,
followed by Hymenoptera (68 individuals) and Hemiptera (31 individuals). The
least abundant orders were Diptera, Lepidoptera,
Odonata, and Orthoptera, represented by 20, 16, 11, and seven individuals,
respectively. These results highlight the marked dominance of Coleoptera both in species richness and individual
abundance, while the low representation of other orders underscores the
distinct structure and distribution of insect communities within
agroecosystems.
Comparison and
description of the efficacy of sampling methods.
The distribution of individuals
captured by the three sampling methods is presented in Table 2. Statistically
significant differences were observed in both species
richness and abundance among the sampling techniques, indicating variation in
their capture efficiency. Pitfall trapping recorded the highest species
richness with 45 species and accounted for 36% of the total individuals
collected. Sight hunting yielded a comparable level of efficiency, capturing 43
species and representing 34% of the total individuals, differing only slightly
from pitfall trapping in terms of species richness. In contrast, sweep netting
conducted during vegetation mowing was less effective, recording 37 species and
30% of the individuals (Table 2; Figure 1). These results demonstrate that both
pitfall trapping and sight hunting are highly effective sampling methods,
whereas sweep netting captures a relatively
At the order level, sampling
efficiency varied markedly among methods. Coleoptera
dominated pitfall trap captures, reflecting the prevalence of ground-active
taxa with surface-oriented movement. In contrast, sight hunting and vegetation
mowing were most effective for volant orders such as Hymenoptera, Lepidoptera, Diptera, and Odonata, which are more abundant in vegetation
and aerial strata. Hemiptera and Orthoptera displayed intermediate patterns,
being captured by all methods but more frequently during sight hunting and
mowing, consistent with their mixed mobility and plant associations (Table 2).
At the family level, clear
differences in capture efficiency were observed among pitfall traps, sight
hunting, and vegetation mowing. Pitfall traps excelled in sampling
ground-dwelling Coleoptera, particularly Carabidae and Silphidae, which
had the highest abundances (138 & 135 individuals, respectively) and
species richness. This method also uniquely captured Staphylinidae,
Lygaeidae, and Oedemeridae, yielding the highest
overall abundance (372 individuals) and species richness (45 species). Sight
hunting was similarly efficient for visually conspicuous and mobile taxa,
including Coccinellidae, Reduviidae, and several Diptera and Lepidoptera families, resulting in high species
richness (43 species) and substantial abundance (221 individuals). Sweep
netting during vegetation mowing was more effective for plant-associated and
flying insects, such as Apidae, Vespidae,
Pieridae, and Libellulidae,
but recorded the lowest overall abundance (142 individuals) and species
richness (37 species) (Table 2).
Seasonal
distribution
Overall, the abundance of
arthropods was observed to be higher during the spring season compared to the
summer season, as depicted in Figure 2. It was found that pitfall traps were
more effective than other traps in both seasons, exhibiting the highest
Shannon-Weiner’s diversity index (3.81 for spring and 3.49 for summer
captures). Conversely, mowing vegetation resulted in the lowest values of the
diversity index (2.18 for spring and 2.09 for summer), as shown in Table 3.
In terms of evenness index,
pitfall traps had the highest values (0.98 for the spring season), followed by
sight hunting (0.79 for the spring season) and mowing vegetation (0.70 for the
summer season). Overall, mowing had the least diversity index values in both seasons
(Table 3).
The relative abundances of the
main insect groups varied according to both sampling method and season (spring
and summer). Overall, Carabidae emerged as the
dominant taxon across all sampling techniques, reflecting their high activity
levels and broad ecological distribution within the studied habitats.
The sight hunting method
primarily captured actively moving and visually detectable insects. Carabidae showed the highest abundances, particularly
during spring, while Tenebrionidae and Silphidae were represented at intermediate levels. Other
taxa, including Apidae, Vespidae,
Libellulidae, and Lepidoptera, occurred at relatively
low abundances, suggesting limited detectability using this method. In summer,
a general decline in abundance was observed, although Carabidae
remained dominant (Figure 2).
Pitfall traps proved to be the
most effective method for sampling ground-dwelling insects. During spring, Carabidae and Silphidae exhibited
particularly high abundances, followed by Tenebrionidae.
In contrast, Scarabaeidae, Oedemeridae,
and Lygaeidae were captured in low numbers. Although overall abundances
decreased in summer, Silphidae remained highly
represented, indicating sustained activity during this season.
The vegetation mowing method
highlighted insect groups associated with the herbaceous layer. Carabidae continued to dominate in both seasons; however,
this method revealed a higher representation of secondary taxa. In spring,
several groups occurred at low abundances, including Apidae,
Libellulidae, and Lepidoptera. In summer, a marked
increase in Apidae was observed, reflecting enhanced
activity of pollinators (Figure 2). The exclusive occurrence of Coccinellidae
in summer may be related to increased prey availability and seasonal changes in
vegetation structure. From a seasonal perspective, spring was characterized by
higher overall abundances, likely due to favourable
climatic conditions and increased biological activity. Conversely, summer
showed a general decline in insect abundance, accompanied by shifts in
community composition.
DISCUSSION
Several studies have been
conducted to compare the efficiency of different methods used to assess
arthropods (Sabu et al. 2011; Corti et al. 2013; Zaller et al. 2015; Sial et al.
2022). To the best of existing knowledge, the current study stands
out as one of the first to compare the effectiveness of pitfall traps, sight
hunting, and mowing vegetation in agroecosystems. This study aimed to provide a
detailed evaluation of different sampling methods. By conducting this research,
the study seeks to shed light on the effectiveness and practicality of
employing these methods collectively. The utilization of pitfall traps, sight
hunting, and mowing vegetation offers a unique opportunity to comprehensively
evaluate arthropod populations. The findings will not only enhance the
scientific community’s understanding of these assessment techniques and explore
the synergistic effects of combining these methods but also pave the way for
their wider adoption in ecological studies.
The primary objective was to
evaluate the efficacy of pitfall traps, sight hunting, and mowing vegetation in
assessing insect diversity across three designated study sites. To ensure
comprehensive analysis, the number of insects captured by each sampling method
were examined from spring to summer. Throughout the course of the experiment,
all sampling traps exhibited remarkable variations in insect populations. When
comparing the different sampling methods, differences were found in the number
and diversity of the recorded taxa among the tested sampling methods. It became
evident that pitfall trapping yielded the highest number of species and
individuals, capturing a total of 45 species and accounting for 36% of the
overall insect population. These results underscore the reliability of pitfall
traps for assessing insect diversity, as their ability to capture a broad range
of species and individuals demonstrates their effectiveness in representing the
insect communities within the study sites. Bouget et al. (2020) similarly
reported that pitfall traps are highly specific and efficient for sampling
invertebrate assemblages that move across the soil surface, effectively
capturing carabids as well as numerous flying insects that land on the ground
or are displaced by wind. Sight hunting also proved highly effective,
accounting for 43 species and 34% of the individuals collected, and together
with pitfall trapping, it has been recognized as a particularly useful method
for sampling coleopterans. Both techniques are not only efficient but also easy
to implement and cost-effective. The utility of these methods is further
supported by previous studies, including Pizzolotto
et al. (2018) and Ganaoui et al. (2019), which
successfully applied similar approaches to sample arthropod communities in
various habitats.
In terms of capturing flying
insects, mowing herbaceous vegetation proved particularly effective. This
method efficiently sampled insects that feed on plants, prey on plant-feeding
insects, or utilize foliage and flowers, including Hymenoptera and some
Lepidoptera. In this study, mowing traps captured the largest number of Apidae (21 individuals) and also effectively sampled Vespidae (10 individuals), highlighting its suitability for
foliage-associated and flying taxa. Coleoptera and
Hymenoptera were among the most accessible groups to sample due to their high
taxonomic richness, as observed in other studies (Forbes et al. 2018; von Hoermann et al. 2018). The abundance of these taxa is likely
influenced by favourable environmental conditions
such as temperature, humidity, and availability of food sources (El Harche et al. 2023; Morshed et al. 2023). Pitfall traps, in
contrast, were particularly efficient at capturing ground-dwelling insects,
including Carabidae (138 individuals), Silphidae (135 individuals), and Tenebrionidae
(60 individuals), reflecting their design to ensnare species active on the soil
surface. Sight hunting offered a versatile approach, allowing for the
collection of both ground-dwelling and flying insects, with a total of 43
species and 221 individuals recorded across taxa. By actively observing insect behaviour and movement, this method successfully captured a
wide range of species, complementing the results obtained from pitfall traps
and mowing. Together, these three methods provide a comprehensive
representation of insect communities within the studied agroecosystems.
Seasonal variation played a
significant role in structuring insect assemblages, with higher abundances
generally recorded in spring. This pattern is likely linked to favourable climatic conditions, increased soil moisture,
and enhanced resource availability during early crop development stages (Colinet et al. 2015; Haavik &
Stephen 2023). In contrast, the observed decline in abundance during summer may
reflect the combined effects of thermal stress, reduced vegetation cover, and
increased agricultural disturbance, including irrigation, mechanical
operations, and agrochemical applications (El Harche
et al. 2022, 2023). Similar seasonal declines in insect abundance have been
reported in Mediterranean and semi-arid agroecosystems, where summer conditions
impose strong physiological and ecological constraints on arthropod communities
(Coscarón et al. 2009; Robinson et al. 2018; El Abdouni et al. 2022; Zhao et al. 2022; El Harche et al. 2023).
The effectiveness of pitfall
traps in capturing large numbers of Carabidae and Silphidae emphasizes the importance of soil surface
conditions in agroecosystems. Ground-dwelling insects are particularly
sensitive to soil compaction, tillage frequency, and residue management, all of
which directly affect their mobility, shelter availability, and prey access.
Recent evidence suggests that intensive soil management simplifies carabid
community composition and reduces functional diversity, potentially impairing
ecosystem services such as biological control (Makwela
et al. 2025). The persistence of Silphidae during
summer may indicate tolerance to disturbance and an ability to exploit
ephemeral organic resources commonly associated with agricultural activities
and livestock presence.
In contrast, vegetation mowing
revealed taxa associated with the herbaceous layer, particularly pollinators
such as Apidae, whose abundance increased markedly
during summer. This seasonal increase likely corresponds to flowering phenology
and the availability of floral resources within or near cultivated fields.
Recent studies stress that pollinator communities in agroecosystems are highly
dependent on landscape heterogeneity, field margins, and the presence of
semi-natural habitats (Potts et al. 2010; El Abdouni
et al. 2022). Agricultural intensification, characterized by monocultures and
the removal of non-crop vegetation, has been shown to reduce pollinator
diversity and abundance by limiting nesting sites and floral continuity (Sentil et al. 2024).
Anthropogenic pressures,
particularly the use of agrochemicals, represent a major driver of insect
community alteration in agricultural landscapes. Recent comparative studies
have demonstrated significantly lower pollinator abundance and species richness
in agrochemical-contaminated habitats compared to protected or low-input
systems, highlighting both direct toxic effects and indirect impacts via
habitat degradation (Sentil et al. 2024; El Harche 2023). These findings are consistent with the
reduced representation of sensitive taxa observed in the present study,
suggesting that chemical inputs may selectively favour
disturbance-tolerant species while excluding more specialized or vulnerable
groups.
The exclusive occurrence of
Coccinellidae during summer further illustrates the influence of anthropogenic
factors on trophic interactions. Lady beetles are closely associated with aphid
populations, which often increase in fertilized crops during warmer periods.
Their seasonal presence likely reflects prey availability rather than habitat
preference, supporting the notion that agricultural inputs indirectly shape
predator dynamics through bottom-up effects (Landis et al. 2000).
The different traps used to
assess insect diversity, while varying in efficiency, are not only
cost-effective but also simple to construct and deploy, allowing their use
across a variety of locations. This is particularly advantageous in
agricultural areas, where sampling can be challenging and where farmers may be
reluctant to allow complex equipment, such as malaise traps or light traps,
that could damage crops. The materials and methods selected in our study
provide a practical solution that benefits both researchers and farmers,
enabling representative sampling of insect diversity without disturbing the
fields. The observed variation in abundances among taxa across different
collection methods underscores the importance of combining multiple techniques
to obtain a more accurate representation of arthropod communities in
agroecosystems. Furthermore, the choice of sampling method should be tailored
to the specific taxonomic group under investigation.
No single sampling method is
sufficient to capture the full diversity of arthropod communities, as
efficiency varies according to the ecology, mobility, and microhabitat of each
taxon. Flying insects, such as Lepidoptera, Diptera,
Hymenoptera, and Odonata, are most effectively sampled through active methods
like visual searching and sweep netting, while ground-dwelling taxa, including Carabidae and Tenebrionidae, are
best collected with pitfall (Barber) traps. Vegetation-associated and less
mobile groups, such as Hemiptera, Orthoptera, and some Coleoptera,
are efficiently captured by sweep netting. These findings emphasize the
importance of a taxon-oriented, multi-method sampling
approach to obtain comprehensive arthropod inventories and reduce
methodological bias in agroecosystem studies.
Table 1. The numbers
of species and individuals captured at the
three study stations.
|
|
Beans field |
Cereal field |
Alfalfa field |
Total |
||||
|
# ind. |
# sp. |
# ind. |
# sp. |
# ind. |
# sp. |
# ind. |
# sp. |
|
|
Coleoptera |
180 |
22 |
297 |
37 |
105 |
12 |
582 |
42 |
|
Hemiptera |
6 |
2 |
10 |
5 |
15 |
2 |
31 |
7 |
|
Orthoptera |
3 |
2 |
2 |
2 |
2 |
2 |
7 |
3 |
|
Lepidoptera |
1 |
1 |
4 |
2 |
11 |
2 |
16 |
4 |
|
Hymenoptera |
10 |
3 |
25 |
4 |
33 |
4 |
68 |
4 |
|
Odonata |
1 |
1 |
5 |
3 |
5 |
2 |
11 |
3 |
|
Diptera |
0 |
0 |
2 |
2 |
18 |
4 |
20 |
6 |
|
Total |
201 |
31 |
345 |
55 |
189 |
28 |
735 |
69 |
Table 2. The numbers
of species and individuals captured by different
types of traps.
|
|
Pitfall traps |
Sight hunting |
Mowing vegetations |
||
|
Coleoptera |
Carabidae |
No. of individuals |
138 |
68 |
32 |
|
Species richness |
23 |
11 |
10 |
||
|
Tenebrionidae |
No. of individuals |
60 |
34 |
15 |
|
|
Species richness |
3 |
3 |
2 |
||
|
Scarabaeidae |
No. of individuals |
12 |
8 |
0 |
|
|
Species richness |
3 |
2 |
0 |
||
|
Coccinellidae |
No. of individuals |
4 |
9 |
6 |
|
|
Species richness |
2 |
2 |
2 |
||
|
Staphylinidae |
No. of individuals |
2 |
0 |
0 |
|
|
Species richness |
2 |
0 |
0 |
||
|
Cantharidae |
No. of individuals |
3 |
5 |
7 |
|
|
Species richness |
1 |
2 |
2 |
||
|
Chrysomelidae |
No. of individuals |
0 |
4 |
1 |
|
|
Species richness |
0 |
1 |
1 |
||
|
Silphidae |
No. of individuals |
135 |
19 |
13 |
|
|
Species richness |
5 |
4 |
2 |
||
|
Oedemeridae |
No. of individuals |
3 |
7 |
4 |
|
|
Species richness |
1 |
1 |
1 |
||
|
Hemiptera |
Reduviidae |
No. of individuals |
3 |
10 |
2 |
|
Species richness |
1 |
2 |
1 |
||
|
Pentatomidae |
No. of individuals |
0 |
2 |
0 |
|
|
Species richness |
0 |
1 |
0 |
||
|
Cercopidae |
No. of individuals |
0 |
3 |
0 |
|
|
Species richness |
0 |
1 |
0 |
||
|
Scutelleridae |
No. of individuals |
0 |
2 |
0 |
|
|
Species richness |
0 |
1 |
0 |
||
|
Alydidae |
No. of individuals |
0 |
1 |
1 |
|
|
Species richness |
0 |
1 |
1 |
||
|
Lygaeidae |
No. of individuals |
5 |
3 |
0 |
|
|
Species richness |
1 |
1 |
0 |
||
|
Orthoptera |
Acrididae |
No. of individuals |
2 |
4 |
1 |
|
Species richness |
1 |
3 |
2 |
||
|
Lepidoptera |
Pieridae |
No. of individuals |
0 |
4 |
7 |
|
Species richness |
0 |
2 |
2 |
||
|
Nymphalidae |
No. of individuals |
0 |
3 |
1 |
|
|
Species richness |
0 |
1 |
1 |
||
|
Hymenoptera |
Apidae |
No. of individuals |
0 |
8 |
21 |
|
Species richness |
0 |
2 |
2 |
||
|
Vespidae |
No. of individuals |
0 |
3 |
10 |
|
|
Species richness |
0 |
1 |
1 |
||
|
Andrenidae |
No. of individuals |
4 |
6 |
7 |
|
|
Species richness |
1 |
1 |
1 |
||
|
Odonata |
Libellulidae |
No. of individuals |
0 |
5 |
8 |
|
Species richness |
0 |
2 |
3 |
||
|
Diptera |
Muscidae |
No. of individuals |
1 |
4 |
0 |
|
Species richness |
1 |
1 |
0 |
||
|
Stratiomyinae |
No. of individuals |
0 |
3 |
4 |
|
|
Species richness |
0 |
1 |
2 |
||
|
Tabanidae |
No. of individuals |
0 |
2 |
0 |
|
|
Species richness |
0 |
1 |
0 |
||
|
Syrphidae |
No. of individuals |
0 |
3 |
2 |
|
|
Species richness |
0 |
1 |
1 |
||
|
Asilidae |
No. of individuals |
0 |
1 |
0 |
|
|
Species richness |
0 |
1 |
0 |
||
|
7 |
27 |
No. of individuals |
372 |
221 |
142 |
|
Species richness |
45 |
43 |
37 |
||
Table 3. Diversity
indices of different arthropod orders captured by different types
of traps.
|
Trap type |
Spring |
Summer |
||||
|
Pitfall traps |
Sight hunting |
Mowing vegetations |
Pitfall traps |
Sight hunting |
Mowing vegetations |
|
|
Shannon Index |
3.81 |
3.68 |
2.18 |
3.49 |
3.36 |
2.09 |
|
Evenness Index |
0.98 |
0.79 |
0.58 |
0.87 |
0.74 |
0.70 |
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