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Article

The Influence of Groves on Aboveground Arthropod Diversity and Evolution in a Vineyard in Southern Romania

by
Diana Elena Vizitiu
1,
Ionela-Daniela Sardarescu
1,
Elena Cocuta Buciumeanu
1,
Ionela-Cătălina Guta
1,
Lucian Dincă
2,
Flavius Bălăcenoiu
2,*,
Dragoș Toma
2,3,
Vlad Crișan
2 and
Alin Din
1
1
National Research and Development Institute for Biotechnology in Horticulture, 37 Bucharest-Pitești Road, 117715 Stefanesti, Romania
2
National Institute for Research and Development in Forestry “Marin Dracea”, Eroilor 128, 077190 Voluntari, Romania
3
Faculty of Silviculture and Forest Engineering, Transilvania University of Brașov, Sirul Beethoven 1, 500123 Brașov, Romania
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(23), 16543; https://doi.org/10.3390/su152316543
Submission received: 3 November 2023 / Revised: 27 November 2023 / Accepted: 30 November 2023 / Published: 4 December 2023

Abstract

:
This paper investigates the biodiversity of adult arthropods in two grapevine plantations influenced by two adjacent groves over a three-year period (2020–2022) in the viticultural center of Stefănești Argeș, located in southern Romania. The study holds significant implications for introducing parasitoid/predatory insect species into vineyards to control grapevine pests. A total of 164 arthropod species were identified, including 27 beneficial species. Additionally, two moth species, Lobesia botrana and Sparganothis pilleriana, were identified. L. botrana was consistently observed throughout the study, while S. pilleriana was only observed in 2022. The research reveals that the location with the highest number of identified species was in a grove near a black field, with 103 species. Other areas with notable species diversity included a vineyard maintained as a black field (89 species), a grove near permanent natural grassland (88 species), and a vineyard with intervals between rows of grapevines maintained as natural permanent grassland (81 species). Introducing beneficial organisms, such as the predator Crysoperla carnea, is recommended to control grapevine moths in this ecosystem.

1. Introduction

Grapevine (Vitis vinifera L.) occupies large areas all over the world, as it is a culture of significant economic importance [1]. This species is one of the main fruit crops worldwide. In 2020, the total surface area planted with grapevine globally was estimated at 7.3 million hectares [2]. In Romania, 243,000 ha are cultivated with grapevine (Study of International Trade of Agricultural and Connected Products in Romania); this represents 3.328% of the global vineyard area and 1.8% of Romania’s cultivated land. Romania has favorable conditions for the growth and fruiting of grapevines [3] and is internationally recognized for the quality of its wine products [4].
The viticultural biocoenosis consists of populations that include green plants (grapevines, intercrops, and weeds), fungi, bacteria, viruses, insects, and other living things of plant or animal nature. Such territorially linked population groups are functionally independent. Biocoenosis is formed and limited by natural environmental conditions. Viticultural biocoenosis is anthropogenic and simpler than natural forms of biocoenosis (such as meadows and forests) because it consists of only one primary producer (grapevine). The simplicity of grapevine biocoenosis makes it vulnerable both to climatic adversities and those produced by diseases, insects, bacteria, and viruses [5]. Ecosystem functioning results from the sum of the interactions of all organisms (biodiversity) and from factors related to the system, water, soil, and climate [6]. Agricultural systems cannot survive major disruptions due to their lack of diversity and structure [7]. The biodiversity of natural ecosystems can also be the key to sustainable agricultural production and food security. There is evidence that species-rich ecosystems are more stable than species-poor ecosystems [8].
Grapevine pests include several species of insects, mites, and nematodes. The presence of pest insects can result in serious economic damage due to their effects on the quality and quantity of grapes [9]. These pest insects may attack different plant parts such as roots, buds, berries, or leaves [10]. Species diversity in viticultural ecosystems ensures the circulation of material and the energy flow; diversity thus contributes to recycling in these ecosystems. Insects, therefore, play an important role in the functioning of viticultural ecosystems, and grapevine agrotechnology influences biodiversity with regard to both useful and arthropod pest species; this can be measured through the use of diversity indices [11]. Variations in population dynamics are affected by beneficial insects (natural enemies of insect pests), the abundance of which changes over the course of the growing season, with each species contributing more or less to overall pest control [12]. The types and behaviors of herbivorous insects present in vineyards are influenced by environmental temperature [10,13,14]. Monitoring arthropods under current climatic conditions can enhance our understanding of vineyard biodiversity [10].
Harvest losses seem to be lower in traditional agriculture (which uses more ecologically sound and sustainable practices) than in modern industrial agriculture [15,16]. In agriculture and forestry, Lepidoptera is one of the main groups of dangerous insects, and the principal orders of parasitoid insects are Hymenoptera and Diptera [17]. Parasitoids regulate the abundance of phytophagous arthropods [18]. Several parasitoid species can be used for the control of Lepidoptera pests. These include Trichogramma galloi, T. pretiosum, T. evanescens, T. cacaeciae, and T. minutum [19]. Parasitoids and predators that can control grape pests are very diverse. The arthropod predators of Lobesia botrana and Eupoecilia ambiguella have been divided into occasional and regular predators. Predators of grapevine moths include a wide range of species such as lacewings (Chrysopa perla, Chrysoperla carnea, C. lucasina, C. affinis, Dichochrysa flavifrons, and D. prasina), true bugs (Miridae, Anthocoridae, Nabidae, and Reduviidae), syrphids (Xanthandrus comtus), and spiders [20]. To control the Sparganothis pilleriana moth, the following species can be used: Pimpla rufipes, Phytodietus ornatus, P. polyzonias, Diadegma contractum, D. holopygum, Colpoclypeus florus, Elasmus viridiceps, Catolaccus ater, Eupelmus vesicularis, and Nemorilla maculosa [21].
Pesticides are used to control the L. botrana moth; however, an alternative is provided by beneficial organisms like the native natural enemies of this moth that exist in the ecosystem. For this biological control to be successful, it is essential to know the identity of these natural enemies and whether they are present in the ecosystem [22].
The purpose of this work is to survey adult arthropod diversity in two grapevine plantations with two adjacent groves over a period of three consecutive years in the Stefanesti Arges vineyard, located in southern Romania. This is important to know in order to introduce parasitic and predatory insects used in grapevine moths’ control into the ecosystem.

2. Materials and Methods

2.1. Study Site and Data Collection

Adult arthropod monitoring was performed in 2020–2022 in grapevine plantations belonging to the National Research and Development Institute for Biotechnology in Horticulture at Stefanesti–Arges, southern Romania (Figure 1). The vineyard plantations were 25 years old, with 2.4 m between rows and a 15 m distance between plants within each row. The Guyot cutting system was in use at the plantations.
Yellow sticky traps were placed on a weekly basis from 1 July to 30 September (BBCH scales: 73–89) for three years, allowing arthropods to be monitored in four lots: a vineyard maintained as a black field (maintained with periodic plowing of the row intervals, BF), a grove near the black field (GBF), a vineyard where the row intervals were maintained as natural permanent grassland (NPG), and a grove near natural permanent grassland (GNPG).
The following weed species were identified by us in the NPG vineyard: Equisetum arvense, Convolvulus arvensis, Polygonum convolvulus, Alopecurus myosuroides, Amaranthus retroflexus, Setaria glauca, S. viridis, Galium aparine, Chenopodium album, Apera spica-venti, Sonchus arvensis, Stenactis annua, Polygonum aviculare, Agrostis alba, Erigeron canadensis, Echinochloa crus-galli, Rumex obtusifolius, Agropyron repens, Calamagrostis epigejos, Cirsium arvense, Matricaria inodora, Lamium album, L. purpureum, Xanthium strumarium, Sorghum halepense, Taraxacum officinale, Veronica hederifolia, Avena fatua, Poa pratensis, Cardaria draba, Agropyron repens, Digitaria sanguinalis, Senecio vulgaris, Stachys annua, Matricaria chamomilla, Daucus carota, and Dactylis glomerata.
The GBF and GNPG groves mainly contained Crataegus monogyna, Robinia pseudoacacia, Rosa canina, Prunus spinosa, Quercus robur, Prunus padus, Fagus sylvatica, Carpinus betulus, and Alnus glutinosa.
Tetratrap pheromone traps were also placed in the vineyards during the same period to monitor specific grapevine pests. These were the atraBOT (for L. botrana), atraAMBIG (for E. ambiguella), and atraPILL (for Sparganothis pilleriana) traps produced by the Pheromone Production Center at the Raluca Ripan Institute for Research in Chemistry, Babes Bolyai University, Romania. These traps are based on the attraction exerted by the sex pheromone capsules emitted by female L. botrana, E. ambiguella, and S. pilleriana; males are captured via fixation to an adhesive surface. The traps were inspected once a week, and the captured adults were counted, noted, and removed from the adhesive valve. At the same time, any plant that remained stuck to the adhesive valve was also removed. In the period 2020–2022, no insecticides were applied.
An IPM-scope digital microscope (Spectrum Technologies, Aurora, IL, USA) and an Optika SZM-2 trinocular stereomicroscope equipped with an Optika CP-8 photo camera (Optika, Ponteranica, Italy) were used for arthropod identification.

2.2. Data Analysis

As an initial step, we examined the data distribution for normality using Shapiro-Wilk tests and evaluated variance homogeneity with Levene’s test. Once these assessments confirmed the data’s adherence to the assumptions of a normal distribution and homogeneity of variance, the conditions for conducting parametric tests were met. In order to ascertain whether crop types exert an influence on species richness and individual abundance, we conducted a variance analysis using the One-Way ANOVA test. Significance levels were established using Tukey’s multiple test.
We conducted a Rarefaction Curve Analysis to assess the sufficiency of sampling intensity in identifying arthropod species and to compare the expected species richness among the four crops studied over three years. This analysis utilized the total number of individuals captured in traps as a basis for comparison.
To highlight significant differences in the ecological structure of arthropods, revealing distinct groups based on arthropod orders and crop types, we conducted a Two-Way Cluster Analysis, along with the use of the Bray–Curtis dissimilarity.
The data analysis was carried out using STATISTICA 8.0 (StatSoft, Inc., Tulsa, OK, USA) and PAST 4.03 [23]. The presence of the detected species in one or more of the four crops was illustrated using Venn diagrams (VIB/UGent).

3. Results

In the three years of the study, 164 species of arthropods were identified. Most of them were common to the four lots (Figure 2). The highest number of species was recorded in GBF (103 species), followed by GNPG (89 species), BF (88 species), and NPG (82 species) (Table A1). However, some insect species were present only in one lot: the largest number of unique species was identified in GBF (30 species), followed by BF (16), NPG (14), and GNPG (10).
However, when analyzing the number of species based on the type of crop, we observe that there are no significant differences between them (Figure 3).
The arthropods identified in the four ecosystems belonged to 13 orders. Only four major orders are presented in Figure 4, while the remaining ones, which were underrepresented, have been grouped into a larger category labeled “other orders.” The number of orders was almost the same in each of the four ecosystems: 12 orders were found in NPG, 11 in GBF, and the same number of orders was recorded for BF and GNPG (10 orders). The orders Coleoptera, Diptera, Hymenoptera, Araneae, Mecoptera, Hemiptera, Orthoptera, Neuroptera, Dermaptera, and Lepidoptera were present in all four ecosystems.
Of the 164 species identified in the four lots, 27 are considered beneficial (Table A2). Of the 27 beneficial species, 15 were found in all lots.
Regarding species richness across different crop types (Figure 5), in 2020, GBF exhibited the highest species diversity. In 2021, cultures GNPG, BF, and GBF displayed similar levels of species richness, while NPG recorded the highest species diversity. In 2022, the rarefaction curves of BF and GBF showed similarities, indicating higher species richness compared to cultures NPG and GNPG.
When it comes to species richness over time, the rarefaction curves suggest an adequate sampling effort to characterize the arthropod populations, with all three curves approaching or reaching asymptotes in all three years (Figure 6). The years 2020 and 2021 exhibited similar arthropod richness compared to 2022, which displayed higher species diversity.
Notable variations and differences were observed in their ecological structure over time and among crop types when the biodiversity indices of arthropods were analyzed (Table 1). According to the Shannon index, the highest diversity was recorded in GBF in all three years, while the lowest diversity varied between the years 2020 (BF), 2021 (NPG), and 2022 (GNPG). However, the Simpson index and evenness indicate that, although GBF exhibited high diversity, the evenness of species distribution was relatively low in all three study years. In contrast, the highest evenness of species distribution was observed in 2020 (BF), 2021 (NPG), and 2022 (GNPG).
In terms of species richness within the four crops over the three years, according to the Margalef index, all areas recorded a relatively high level; however, the highest species diversity was recorded in the year 2021 across all sample areas. Similarly to the Evenness and Simpson indices, the highest values recorded using the Berger-Parker index are in the areas where the Shannon index value is the lowest. This indicates that the communities of aboveground insects were moderately dominated in those respective areas by the common species.
The data analysis highlights that the orders Diptera and Hemiptera exhibit similar group structures, while Hymenoptera significantly differentiates from the other orders (Figure 7). Regarding the types of crops, GBF forms a distinct cluster, while GNPG and NPG are more similar to each other. These differences can be primarily attributed to the high number of individuals from the Hymenoptera order observed in NPG and BF, where over a thousand specimens were captured. For the orders Diptera, Hemiptera, Coleoptera, and the remaining orders, the capture rate is generally in the hundreds of individuals, regardless of the crop type.
Although the data analysis reveals that in most cases, the order Hymenoptera had the highest number of individuals, a more detailed description of these differences is provided via the Analysis of Variance (Figure 8):
  • In the case of NPG, the insects captured from the order Hymenoptera were significantly more numerous than those in the “other orders” group (p < 0.05) but not significantly different from Coleoptera, Diptera, and Hemiptera (p > 0.05).
  • For GNPG, the insects captured from the Hymenoptera group were significantly more numerous than those in Diptera, Hemiptera, and other orders (p < 0.05) but not significantly different from those in Coleoptera (p > 0.05).
  • Regarding BF, there were no significant differences (p > 0.05) in the number of individuals captured among the five orders.
  • In GBF, the insects captured from the Diptera and Coleoptera groups were significantly more numerous (p < 0.05) than those in the “other orders” group but not significantly more numerous (p > 0.05) than those in Hemiptera and Hymenoptera.
Figure 8. Crop type influence on arthropod order abundance. The differences between means labeled with the distinct letter are statistically significant (p < 0.05).
Figure 8. Crop type influence on arthropod order abundance. The differences between means labeled with the distinct letter are statistically significant (p < 0.05).
Sustainability 15 16543 g008

4. Discussion

This research aimed to assess the impact of groves on arthropod diversity and evolution in a vineyard located in southern Romania. Our objective was to examine how the presence and types of groves influence the composition, abundance, and diversity of arthropods in this specific viticultural environment.
Over the course of three years of study, we meticulously identified and documented 164 species of arthropods that played a significant role in the vineyard ecosystem. This research involved the collection and analysis of field data in four distinct lots: Black Field (BF), Grove near Black Field (GBF), Natural Permanent Grassland (NPG), and Grove near Natural Permanent Grassland (GNPG).
Despite the presence of common species across all four research lots, the surrounding environment significantly impacts arthropod diversity within this vineyard ecosystem. The fact that the Grove near Black Field (GBF) recorded the highest number of species suggests that the specific type of grove in this lot may provide additional habitat or resources for the respective arthropods.
The identification of unique species in each lot represents an intriguing discovery, highlighting that these unique species can be considered indicators of adaptation and preferences among arthropods for the different conditions offered in various types of groves.
The orders Hymenoptera, Coleoptera, Diptera, and Hemiptera consistently dominated in abundance throughout the study, but significant variations were observed between the research years. The absence of the Mecoptera and Dermaptera orders in 2020 suggests seasonal influences or natural fluctuations in biodiversity. These findings provide a complex understanding of the interaction between groves and vineyard arthropods and can serve as a foundation for conservation and biodiversity management strategies in similar vineyard environments.
The results of the present study indicate significant differences in terms of insect species diversity within the same ecosystem, with the highest number of species identified in the Grove near Black Field (GBF) and the fewest in the Natural Permanent Grassland (NPG). The order Coleoptera predominated in all four ecosystems, while fewer species were found in the orders Scutigeromorpha, Odonata, and Mantodea.
However, in terms of abundance, the order Hymenoptera exhibited the highest predominance across all four ecosystems. This order included species such as Vespula vulgaris, Figitidae sp., and Vespula germanica, which recorded the highest number of individuals.
It is noteworthy that species from the genus Vespula play diverse roles within the ecosystem, ranging from limiting the spread of other invasive species by capturing pestiferous insects to potentially contributing to the transmission of plant diseases after feeding on crops such as grapevines. These findings highlight the complexity of interactions between arthropods and the vineyard environment, emphasizing the need for careful management of these species to protect vineyard crops. Vespula spp. are known as predators of pestiferous flies and may play a role in limiting the spread of other invasive species. Vespula spp. can also promote plant diseases after feeding on crops such as grapevine. Members of V. germanica attack beehives and contribute to fruit deterioration [24]. The members of another species of the genus Vespula, V. vulgaris, sting grapes, eat the contents, and leave only the peel; the affected grapevine is later attacked by fungi or bacteria [25]. In spite of that, some wasps are a crucial vector of the yeast species used in the winemaking process [26]. For instance, Polistes, Vespa, and Vespula play an essential role in the Saccharomyces cerevisiae yeast ecology, responsible for must fermentation in the winemaking process [27]. In the ecosystems where there was other vegetation adjacent to the grapevines, the largest number of individuals belonged to the Figitidae family. This is a parasitoid family [28] that parasitizes aphids and fruit flies [29]. Other Hymenoptera species found in the studied ecosystems included T. femorata, a beetle-killing wasp [30] which parasitizes Phyllopertha horticola larvae at the same time supplementing this food with pollen [31], and A. subopaca, which feeds on the pollen of different plant species [32].
Biodiversity is essential for crop defense: the more diverse the plants, animals, and soil organisms in a farming system are, the more diverse the community of beneficial organisms that fight pests is [33].
The Simpson and Shannon indices determine species diversity based on species richness and evenness of abundance. The Simpson index tends to be more sensitive to the predominant species from the community than the Shannon index [34,35]. The Shannon diversity index represents species abundance and evenness, with values ranging from 0 to 4. The Margalef index is a biodiversity index that indicates the species richness within a community and is sensitive to sample size [36]. Index values increase as community richness and evenness increase, and higher values indicate that richness is evenly distributed among species [37]. The Berger-Parker index, considered one of the best diversity indices [38], expresses the proportional importance of the most abundant species within a community [39]. It can also be used as an indicator of biodiversity under human influence [40]. Although the use of a soil maintenance system, which includes plants from spontaneous flora, is beneficial for attracting beneficial species [41], it seems that, in the studied vineyard area, it creates favorable conditions for the development of grapevine moths.
L. botrana, the European grapevine moth, perturbs grapevine and other economically important species [42]; it is one of the main grape pests [43,44] and causes extensive economic losses [22]. Specific insects that are found in agricultural land are essential indicators of the health of agroecosystems and are vital for agricultural production and food security (The 2030 EU Biodiversity Strategy). The urgent need to reduce reliance on pesticides and reverse biodiversity decline (‘Farm to Fork’ Strategy) compels us to find alternative ways to combat horticultural crop pests. For instance, parasitoid species can be used to control the L. botrana moth, such as: Actia pilipennis, Bessa parallela, Clemelis massilia, Elodia morio, Eurysthaea scutellaris, Nemorilla maculosa, Neoplectops pomonellae, Phytomyptera nigrina, Pseudoperichaeta nigrolineata [17]; Trichogramma cacoeciae, and T. daumalae, Campoplex capitator, Ichneumonidae, Elachertus affinis, Chalcidoidea, Brachymeria sp., Elasmidae, Ascogaster quadridentada, Bethylidae, Tachinidae [45,46]. At the same time, microbial insecticides can also be used, and the interruption of mating can be achieved using volatile attractants [47]. Biological control based on parasitoids and predators could be developed as a valuable alternative to chemical pest control in viticulture [20].

5. Conclusions

In the three years of this study, 164 species of arthropods were identified. Most of them were common to the four lots. The location with the highest number of species was found in a grove near a grapevine plantation maintained as a black field (103 species), followed by a vineyard maintained as a black field (89 species), a grove near natural permanent grassland (88 species), and a vineyard maintained with natural permanent grassland (82 species).
Of the one hundred and sixty species identified in the four lots, twenty-nine are considered beneficial; these belong to eight orders and seventeen families.
Lobesia botrana was identified in all three years of the study, and Sparganothis pilleriana only in 2022. To control these moths, parasitic and predatory species can be introduced into the ecosystem since only one species (Chrysoperla carnea) is beneficial in controlling the L. botrana moth.

Author Contributions

Conceptualization, D.E.V., I.-D.S., E.C.B., I.-C.G., L.D., F.B., D.T., V.C. and A.D.; methodology, D.E.V., I.-D.S., E.C.B., I.-C.G. and A.D.; software, D.E.V., I.-D.S., E.C.B., I.-C.G., F.B., D.T. and A.D.; validation, D.E.V., I.-D.S., E.C.B., I.-C.G., L.D., F.B., D.T., V.C. and A.D.; formal analysis, D.E.V., I.-D.S., E.C.B., I.-C.G., F.B., D.T. and A.D.; investigation, D.E.V., I.-D.S., E.C.B., I.-C.G. and A.D.; resources, D.E.V., I.-D.S., E.C.B., I.-C.G., L.D., F.B., V.C. and A.D.; data curation, D.E.V., I.-D.S., E.C.B., I.-C.G. and A.D.; writing—original draft preparation, D.E.V., I.-D.S., E.C.B., I.-C.G. and A.D.; writing—review and editing, D.E.V., I.-D.S., E.C.B., I.-C.G., L.D., F.B., D.T., V.C. and A.D.; visualization, D.E.V., I.-D.S., E.C.B., I.-C.G., L.D., F.B., D.T., V.C. and A.D.; supervision, D.E.V.; project administration, D.E.V.; funding acquisition, D.E.V., L.D., F.B. and V.C. All authors have read and agreed to the published version of the manuscript.

Funding

This paper was supported by a grant from the Romanian Ministry of Agriculture and Rural Development, Project ADER (2019–2022) number 7.1.4.: ‘Assessment of the vulnerability of the viticultural ecosystem to the harmful impact of competing and antagonistic organisms, in order to develop and implement new phytosanitary control technologies adapted to biotic and abiotic stressors with low impact on the environment’. The contribution of F.B. was supported by the projects PN 23090102 and 34PFE./30.12.2021 ‘Increasing the institutional capacity and performance of INCDS “Marin Dracea” in the activity of RDI—CresPerfInst’, funded by the Ministry of Research, Innovation and Digitalization of Romania.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Table A1. Species identified in the four lots (BF—a vineyard maintained as a black field; GBF—a grove near the black field; NPG—a vineyard where the intervals were kept as natural permanent grassland; and GNPG—a grove near the natural permanent grassland). With 0 = unrecorded; 1 = recorded in 1/3 years; 2 = recorded in 2/3 year, 3 = recorded in 3/3 year.
Table A1. Species identified in the four lots (BF—a vineyard maintained as a black field; GBF—a grove near the black field; NPG—a vineyard where the intervals were kept as natural permanent grassland; and GNPG—a grove near the natural permanent grassland). With 0 = unrecorded; 1 = recorded in 1/3 years; 2 = recorded in 2/3 year, 3 = recorded in 3/3 year.
No.SpeciesNPG GNPGBFGBF
1Acanthoscelides sp.0001
2Adonia variegata0131
3Aelia acuminata0101
4Agrilus sp.2213
5Agriotes lineatus0011
6Agriotes ustulatus1221
7Ampedus nigerrimus1000
8Andrena cineraria0010
9Andrena subopaca3312
10Andrena wilkella0110
11Anisosticta novemdecimpunctata0002
12Anthaxia cichorii1111
13Anthaxia nitidula signaticollis1110
14Anthocomus rufus1000
15Anthomyia procellaris3333
16Apis mellifera3331
17Araneus diadematus1000
18Arge ochropus2100
19Athalia rosae1211
20Bombus terrestris2100
21Bruchidius villosus0010
22Calliptamus barbarus0001
23Cantharis rubra0001
24Cantharis rustica0100
25Carpomya incompleta0021
26Carpomya schineri1112
27Centrotus cornutus1110
28Ceresa bubalus1223
29Cheiracanthium mildei2112
30Chlorophorus sartor1100
31Chlorophorus varius3332
32Chorthippus brunneus0110
33Chorthippus vagans1000
34Chrysis ignita1001
35Chrysoperla carnea2121
36Chrysura refulgens1000
37Cicadetta hannekeae sp.1222
38Clytra laeviuscula2210
39Clytus lama2222
40Coccinella septempunctata1221
41Colias croceus1000
42Conocephalus strictus0101
43Coreus marginatus1101
44Corythucha ciliata3333
45Cryptocephalus sp.2121
46Danacea pallipes3333
47Deraeocoris ruber0121
48Dolycoris baccarum0001
49Drosophila melanogaster1111
50Ellychnia corrusca1000
51Episyrphus balteatus0001
52Eristalis tenax2333
53Eupteryx atropunctata0001
54Eurydema (Eurydema) oleracea0010
55Eysarcoris inconspicuous0101
56Eysarcoris ventralis0001
57Figitidae sp.2222
58Forficula auricularia2112
59Geocoris erythrocephalus1132
60Gonioctena fornicate0100
61Graphosoma italicum0100
62Graphosoma lineatum2101
63Gymnocheta viridis0020
64Halictus scabiosae0011
65Halictus sexcinctus0010
66Halyzia sedecimguttata0001
67Harmonia axyridis3333
68Harrisina metallica0010
69Hedychrum nobile0010
70Heliophanus kochii0101
71Hippodamia variegata1100
72Holcostethus albipes0001
73Holcostethus limbolarius1002
74Ichneumon gracilentus0002
75Iphiclides podalirius0201
76Lagria hirta0001
77Lampyris noctiluca1201
78Larinus centaurii0001
79Lasiommata maera0010
80Lasius niger2201
81Libellula depressa1000
82Lucilia sericata0011
83Lygaeus kalmii0100
84Lygus pabulinus0100
85Machimus atricapillus1000
86Malachius bipustulatus2212
87Maniola jurtina0001
88Mantis religiosa1000
89Meiosimyza sp.0110
90Melanargia galathea0012
91Melitaea deione0011
92Micrommata virescens0010
93Mordella sp.1111
94Musca autumnalis1222
95Musca domestica3333
96Myathropa florea0001
97Neomyia cornicina0010
98Neoscona crucifera0001
99Nysius graminicola0010
100Ochlodes sylvanoides0100
101Ochlodes sylvanus1000
102Ochlodes venatus1011
103Oecanthus californicus0001
104Oecanthus pellucens0001
105Oedemera flavipes3331
106Oedemera podagrariae0010
107Onthophagus sp.1100
108Oodes helopioides3222
109Orius insidiosus1111
110Oulema obscura0011
111Oxycarenus lavaterae1100
112Pachybrachis tessellatus0002
113Panorpa communis2122
114Penthimia nigra1000
115Penthimia sp.0110
116Peponapis pruinosa0010
117Phaenicia sericata0001
118Phaneroptera nana0010
119Philaenus spumarius3333
120Phlogotettix cyclops0111
121Phyllotreta undulata3332
122Pieris rapae0010
123Polistes dominulus3232
124Pollenia rudis0001
125Priocnemis perturbator0100
126Propylea quatuordecimpunctata2122
127Protapion fulvipes0001
128Psyllobora vigintiduopunctata0232
129Raglius alboacuminatus0110
130Rhagoletis completa0002
131Rhynchomitra microrhina1011
132Sarcophaga bercaea1101
133Sarcophaga carnaria1000
134Sarcophaga sp.1333
135Scaphidium quadrimaculatum0010
136Scaphoideus titanus2233
137Sceliphron caementarium1100
138Scutigera coleoptrata0001
139Scymnus frontalis3332
140Scymnus rubromaculatus0033
141Scythris sinensis0010
142Sitochroa verticalis0100
143Sphecodes hyalinatus0001
144Stenocorus sp.0001
145Stenocorus vestitus0100
146Stevenia deceptoria0001
147Stictocephala bisonia1101
148Stomoxys calcitrans1000
149Strongylocoris leucocephalus0110
150Synema globosum0001
151Tachycixius pilosus0001
152Tachysphex pompiliformis0100
153Tettigonia viridissima1020
154Tiphia femorata1123
155Tomoplagia obliqua1100
156Tomoxia bucephala2222
157Trichaetipyga juniperina0111
158Trichodes apiarius1110
159Tritomegas sexmaculatus0001
160Vespa crabro3321
161Vespula germanica3332
162Vespula vulgaris2333
163Voria ruralis0033
164Zygaena ephialtes2100
Sustainability 15 16543 i001 unique species in NPG; Sustainability 15 16543 i002 unique species in GNPG; Sustainability 15 16543 i003 unique species in BF; Sustainability 15 16543 i004 unique species in GBF.
Table A2. Beneficial insect species identified in the 2020–2022 study period.
Table A2. Beneficial insect species identified in the 2020–2022 study period.
OrderFamilySpeciesFeeding, BenefitsReferencesLots
AraneaeAraneidaeNeoscona cruciferaInsects, Lepidoptera, mostly prefer soft-bodied, immature stages with more internal body fluid, especially the homopterans.[48,49,50]GBF.
EutichuridaeCheiracanthium mildeiVarious insect pests, especially Spodoptera littoralis and Phyllonorycter blancardella.[51]BF, GBF, NPG, GNPG.
Coleoptera yanbnbCoccinelidaeAdonia variegataAphis gossypii[52]BF, GBF, NPG, GNPG.
Psyllobora vigintiduopunctataPowdery mildew spores, such as Oidium-infected Euonymus japonica, Erysiphe holosericea, Podosphaera xanthii, pomegranate tree aphids; powdery mildew of trees, shrubs, and herbaceous plants (prefer powdery mildew on Trifolium, Melilotus, and Medicago (Fabaceae)[53,54,55,56,57,58,59,60]BF, GBF, GNPG.
Scymnus rubromaculatusMites, aphids, and crustaceans. [61,62,63]BF, GBF.
Anisosticta novemdecimpunctataAphids and other soft insects.[64,65]GBF.
Halyzia sedecimguttataPowdery mildew (Ascomycotina: Erysiphales) of trees, shrubs, and herbaceous plants; prefers powdery mildew on Trifolium, Melilotus, and Medicago (Fabaceae).[58]GBF.
Coccinella septempunctataFungal spores, aphids (e.g., Rhopalosiphum padi).[66]BF, GBF, NPG, GNPG.
Propylea quatuordecimpunctataAphids (e.g., the Aphidoidea superfamily).[67,68]BF, GBF, NPG, GNPG.
MelyridaeDanacea pallipesLarvae feed on fungal mycelia.[69]BF, GBF, NPG, GNPG.
Malachius bipustulatusLymantria dispar; small insects found on flowers; nymphae of some xilophagous insects; pollen; Oulema melanopus L.[70,71,72,73,74]BF, GBF, NPG, GNPG.
MordellidaeMordella sp.Native pollinators.[75]BF, GBF, NPG, GNPG.
DipteraTachinidaeGymnocheta viridisNoctuidae species.[76]BF.
Voria ruralisVarious caterpillars, but used mainly to control the cabbage looper (Trichoplusia ni) caterpillar; feeds on aphid honeydew;lepidopteran species, particularly Trichoplusia ni.[77,78,79]BF, GBF.
HemipteraGeocoridaeGeocoris erythrocephalusAphids, whiteflies, thrips, mites, caterpillars, eggs, and larvae (tobacco budworm, soybean loopers).[80,81]BF, GBF, NPG, GNPG.
MiridaeDeraeocoris ruberCacopsylla pyrisuga, younger caterpillar instars of some butterflies, mites, and various other small insects in apple orchards, aphids, Acizzia jamatonica, and Cacopsylla pyrisuga.[82,83,84]BF, GBF, GNPG
HeteropteraAnthocoridaeOrius insidiosusThrips larvae and adults (e.g., Flankliniella occidentalis, Bemisia tabaci and Frankliniella occidentalis, Thrips palmi) and other soft-bodied insects.[85,86,87,88,89] BF, GBF, NPG, GNPG.
HymenopteraAndrenidaeAndrena subopacaInsect pollinators.[90]BF, GBF, NPG, GNPG.
Andrena wilkellaPollen, especially from Fabaceae.[91]BF, GNPG.
Andrena cinerariaPollinator.[92,93]BF.
ApidaeApis melliferaPollen.[94,95,96]BF, GBF, NPG, GNPG
Bombus terrestrisPollinators.[97]NPG, GNPG.
Peponapis pruinosaPollen grains from Cucurbita flowers.[94,98]BF.
HalictidaeHalictus scabiosaeNectar and pollen.[99]GBF.
TiphiidaeTiphia femorataFlowers, nectar, and pollen (especially from Apiaceae species); Rhizotrogus solstitialis, Anisoplia austriaca, and several Aphodius species (Aphodiidae).[30,100]BF, GBF, NPG, GNPG.
MecopteraPanorpidaePanorpa communisDead arthropods, pollen, and fruit, also scavengers of dead insects and rotting fruit[101,102]BF, GBF, NPG, GNPG.
NeuropteraChrysopidaeChrysoperla carneaGrapevine moths, Helicoverpa armigera (Hubner), Bemisia tabaci, aphids (e.g., Aphis pomi), mites and mealy bugs, coccids, small homopterous pests; Jacobiasca lybica, Compsus viridivittatus eggs.[103,104,105,106,107]BF, GBF, NPG, GNPG.

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Figure 1. Location of the study area (Esri, Maxar, Earthstar Geographics, and the GIS User Community).
Figure 1. Location of the study area (Esri, Maxar, Earthstar Geographics, and the GIS User Community).
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Figure 2. Occurrence of 164 species of arthropods detected in the four crops.
Figure 2. Occurrence of 164 species of arthropods detected in the four crops.
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Figure 3. Variation in the number of species across different types of crops: a black field (BF), a grove near the black field (GBF), a natural permanent grassland (NPG), and a grove near the natural permanent grassland (GNPG). The differences between means labeled with the same letters (A) are not statistically significant (p > 0.05).
Figure 3. Variation in the number of species across different types of crops: a black field (BF), a grove near the black field (GBF), a natural permanent grassland (NPG), and a grove near the natural permanent grassland (GNPG). The differences between means labeled with the same letters (A) are not statistically significant (p > 0.05).
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Figure 4. Distribution of arthropod orders in four different ecosystems: a black field (BF), a grove near the black field (GBF), a natural permanent grassland (NPG), and a grove near the natural permanent grassland (GNPG).
Figure 4. Distribution of arthropod orders in four different ecosystems: a black field (BF), a grove near the black field (GBF), a natural permanent grassland (NPG), and a grove near the natural permanent grassland (GNPG).
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Figure 5. Crop-specific changes in species richness over a three-year period (2020–2022). With 1 = NPG; 2 = GNPG; 3 = BF; 4 = GBF.
Figure 5. Crop-specific changes in species richness over a three-year period (2020–2022). With 1 = NPG; 2 = GNPG; 3 = BF; 4 = GBF.
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Figure 6. Temporal dynamics of species richness across three years (2020–2022).
Figure 6. Temporal dynamics of species richness across three years (2020–2022).
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Figure 7. Exploring crop-arthropod relationships: a Two-Way Cluster Analysis.
Figure 7. Exploring crop-arthropod relationships: a Two-Way Cluster Analysis.
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Table 1. Temporal variation in biodiversity indices for different crop types.
Table 1. Temporal variation in biodiversity indices for different crop types.
YearCropNo. of SpeciesIndividualsBiodiversity Index
Shannon–WienerSimpsonEvennessMargalefBerger-Parker
2020NPG315882.6360.88310.45014.7050.2517
GNPG478782.5330.860.26786.7870.3007
BF3917961.5660.56520.12275.0710.6487
GBF525393.0320.92670.39868.1080.141
2021NPG6521341.9350.60850.10668.3490.6195
GNPG577982.6030.80440.23688.3810.4211
BF627052.9390.87580.30479.3010.3007
GBF586903.1820.9330.41528.720.1348
2022NPG385392.2580.75310.25175.8830.4768
GNPG3811901.4670.51090.11415.2250.6924
BF5110572.7930.86250.32017.1810.3359
GBF498762.8230.90480.34347.0840.2158
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Vizitiu, D.E.; Sardarescu, I.-D.; Buciumeanu, E.C.; Guta, I.-C.; Dincă, L.; Bălăcenoiu, F.; Toma, D.; Crișan, V.; Din, A. The Influence of Groves on Aboveground Arthropod Diversity and Evolution in a Vineyard in Southern Romania. Sustainability 2023, 15, 16543. https://doi.org/10.3390/su152316543

AMA Style

Vizitiu DE, Sardarescu I-D, Buciumeanu EC, Guta I-C, Dincă L, Bălăcenoiu F, Toma D, Crișan V, Din A. The Influence of Groves on Aboveground Arthropod Diversity and Evolution in a Vineyard in Southern Romania. Sustainability. 2023; 15(23):16543. https://doi.org/10.3390/su152316543

Chicago/Turabian Style

Vizitiu, Diana Elena, Ionela-Daniela Sardarescu, Elena Cocuta Buciumeanu, Ionela-Cătălina Guta, Lucian Dincă, Flavius Bălăcenoiu, Dragoș Toma, Vlad Crișan, and Alin Din. 2023. "The Influence of Groves on Aboveground Arthropod Diversity and Evolution in a Vineyard in Southern Romania" Sustainability 15, no. 23: 16543. https://doi.org/10.3390/su152316543

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