Next Article in Journal
Factors Affecting Population Dynamics of Helicoverpa zea (Lepidoptera: Noctuidae) in a Mixed Landscape with Bt Cotton and Peanut
Previous Article in Journal
First Report of the Pepper Fruit Fly Atherigona orientalis (Schiner 1968) (Diptera: Muscidae) Infesting Commercial Pepper Crops in Greece
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Up and down from North to South: Latitudinal Distribution of Flea Beetle Genera in Continental Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini)

Department of Life, Health & Environmental Sciences, University of L’Aquila, Via Vetoio—Coppito, 67100 L’Aquila, Italy
*
Author to whom correspondence should be addressed.
Insects 2023, 14(4), 394; https://doi.org/10.3390/insects14040394
Submission received: 7 March 2023 / Revised: 14 April 2023 / Accepted: 16 April 2023 / Published: 18 April 2023
(This article belongs to the Section Insect Ecology, Diversity and Conservation)

Abstract

:

Simple Summary

Biodiversity is not evenly distributed on Earth. For phytophagous insects, we could expect increasing taxonomic richness from temperate to tropical latitudes, where plant diversity is high. In this paper, we explored the variation in the number of genera in one of the most widespread groups of phytophagous insects, flea beetles, from north to south on the African continent. We found that the number of genera depends on the number of vegetation types, the kind of vegetation, and some specific bioclimatic variables, leading to an up-and-down trend in taxonomic richness from north to south.

Abstract

The distribution of global biodiversity can be investigated based on comprehensive datasets and many methods to process them. The taxonomic diversity of phytophagous insects is typically linked to plant diversity, which increases from temperate to tropical latitudes. In this paper, we explored the latitudinal distribution of the flea beetle genera (Coleoptera, Chrysomelidae, Galerucinae, Alticini) on the African continent. We divided the area into latitudinal belts and looked for possible correlations with the number and types of vegetational divisions, the area of each belt, and the bioclimatic variables. The number of flea beetle genera is related to the number and types of vegetation divisions rather than the area of each belt. Some bioclimatic variables are highly related to the number of genera, which is higher within those belts where climate factors limit the oscillation of temperature over the year and favor high precipitations, especially in the warmest months. These biotic and abiotic factors lead to a two-peak trend in the taxonomic richness of flea beetle genera from north to south. Genera endemic to restricted areas are linked to the presence of high mountain systems and increase the taxonomic richness of the belt they belong to.

1. Introduction

Biodiversity is not evenly distributed on Earth [1]. The recent emergence of comprehensive global datasets on species occurrences, the availability of genetic datasets, and new methods for processing them have facilitated global analyses of biodiversity distribution and investigations of the factors shaping them [2,3,4]. Major studies have focused on vertebrates and plants as model systems that are generally used to explore and test the latitudinal diversity gradient, which is recognized as the main pattern in the distribution of life [5,6,7,8,9,10]. Invertebrate distribution, instead, has been comparatively poorly investigated, arguably due to the data deficiency for most taxa at the global or continental scales. Regarding terrestrial invertebrates, studies were conducted on specific insect groups [11,12,13,14,15,16,17]. However, the occurrence of a biodiversity gradient has not been documented for most taxa.
This paper explored the latitudinal distribution of a tribe of leaf beetles, Alticini, at the continental scale, in Africa. With over 40,000 species worldwide, leaf beetles (Coleoptera Chrysomelidae) are one of the most abundant families of phytophagous insects and are widespread in the terrestrial habitats of all continents. Alticini, defined as “flea beetles” due to their ability to jump, are the largest and most diverse tribe of leaf beetles in the subfamily Galerucinae, which also includes pests and alien species [18,19,20,21,22,23]. They occur worldwide, except in the polar regions, with 601 genera and about 10,000 species [24]. Most are highly specialized phytophagous insects that are primarily associated with herbaceous plants and, to a lesser extent, shrubs and trees. The adult and larval stages mainly feed on the stems, leaves, or roots of most higher plant families in different environments but rarely feed on the flowers [25,26]. Alticini can be a reliable model to explore phytophagous insects’ distributional patterns thanks to their wide distribution, taxonomic richness at the species and genus levels, and various trophic strategies. [27]. The African flea beetle fauna has been the object of extensive studies over the last 30 years (see references for occurrence data in the Section 2) despite still needing deep investigations for some areas. We investigated the variation in the number of genera and the possible correlation of this number with the sampling area, vegetation type, and bioclimatic variables.

2. Materials and Methods

2.1. Study Area, Dataset, Vegetation Formations, and Bioclimatic Variables

The study area consisted of continental Africa. Madagascar was excluded from our analyses because the knowledge of the flea beetle fauna in this region is very poor and not comparable with that of the African continent [28,29,30,31,32]. The African continent was divided into 15 latitudinal belts of 5°, a spatial resolution that reduced potential biases due to the possible incompleteness of the occurrence data. The area of each belt was calculated in ArcGIS Pro 3.01 [33], projecting the spatial data in the WGS 1984 Sinusoidal Africa (EPSG: 102,011) while concurrently taking into account the geodesy in the calculation.
Occurrence data of flea beetles were obtained from checked literature [34,35,36,37,38,39,40,41,42,43,44,45,46] and integrated with unpublished data from entomological collections preserved in numerous depositories worldwide (Biondi, unpublished data). We conducted the study at the genus level to avoid biases in the number of taxa in each belt. Species-level data may be affected by taxonomic uncertainties and potential misidentifications [47], while genera are comparatively stable taxonomic entities, especially in areas where faunal knowledge is still very partial. Although some authors have recently attributed the genera Hespera and Luperomorpha to the “Galerucini incerta sedis” group [24,48], in this work, they were considered Alticini, pending a definite taxonomic collocation.
The taxonomic richness of phytophagous insects is typically linked to vegetation features. Thus, to assess possible correlations of the number of genera in each latitudinal belt with vegetation types, we gathered spatial information on a raster map of the terrestrial ecosystems of Africa where vegetation formations were classified hierarchically (i.e., class, subclass, formation, division, and macro-group) [49].
Because abiotic factors may have independently affected the taxonomic richness, we evaluated possible correlations of the number of genera with some bioclimatic variables. We used the 19 temperature- and precipitation-related variables that are available on the Worldclim 2.1 online repository at a 2.5 min spatial resolution [50].

2.2. Statistical and Spatial Analyses

The correlations of the number of genera in each latitudinal belt with the sampling area, vegetation type, and bioclimatic variables were evaluated using the Pearson correlation coefficient (r), which was calculated using the statistical package NCSS version 11 for Windows [51].
Geostatistical analyses were conducted using ArcGis Pro 3.01 [33]. Specifically, 5° latitudinal belts were generated, spanning from 40–35° N to 30–35° S, thus encompassing the whole of Africa. Then, we intersected those belts with Africa’s boundaries, obtaining specific latitudinal belts for this continent. Then, we used each as a crop mask to extract information from the African vegetation types raster dataset [49], subsequently calculating the area of each vegetation type per latitudinal belt.
A cluster analysis was performed to highlight the degree of association between the latitudinal belts considered here and flea beetle genera. The web tool ClustVis [52] was used to generate a binary heatmap using hierarchical clustering, applying Euclidean distance and Ward linkage for areas and genera. The analysis was returned as single output clusters of genera based on the similarity of their distributions and clusters of areas based on their faunistic similarity. The following areas were introduced in the analysis to also take into account the occurrence of genera outside of the African continent: the Arabian Peninsula (AP), the Australian region (AUR), Madagascar (MAD), the Nearctic region (NAR), the Neotropical region (NTR), the Oriental region (ORR), and the Palearctic region (PAR).

3. Results

At the current state of knowledge, 96 genera of Chrysomelidae Alticini occur on the African continent (Table 1), of which 78.12% (74) are only present in sub-Saharan Africa and 11.46% (11) are only present in Mediterranean Africa, while 10.42% (10) are widespread on the entire continent. Regarding the 74 genera of the sub-Saharan component, 58.66% (44) are strictly endemic to the African continent, 10.67% (8) are shared with only Madagascar, and 4.00% (3) are shared with only the Arabian Peninsula. The other 26.67% of the sub-Saharan genera (20) have the widest distributions and are mainly extended to the Oriental (18) and Palearctic (15) regions. None of the 11 flea beetle genera present in only Mediterranean Africa are endemic. All of them are widespread in Europe; of these, 36.36% (4) also occur in the Nearctic region, and 27.27% (3) are also present in the Oriental region. Finally, the pan-African component includes genera that are also widely distributed in other zoogeographical regions, except for the genus Angulaphthona, which is endemic to the African continent, with a short extension into the Arabian Peninsula.
The latitudinal distribution of the number of flea beetle genera in Africa has an approximately sinusoidal trend (Figure 1a), with a relative maximum in Mediterranean Africa (40–30° N), a minimum in correspondence with the Sahara Desert (30–20° N), and an increase with an absolute maximum in the equatorial belts (5° N–5° S). South of the equator, the genus richness decreases in the latitudinal belts that include the Namib and Kalahari deserts and increases significantly in the more southern temperate belts.
The African endemic component is composed of 44 genera that are exclusively present in sub-Saharan Africa, with limited extensions into the Saharan area (Figure 1b). Considered alone, it shows a latitudinal trend in the distribution similar to that of the entire flea beetle fauna (Figure 1a,b). It starts from 30° N, with an absolute maximum in the equatorial belts (5–0° N and 0–5° S, with 53.85% and 54.55% of the endemic component, respectively) and a relative maximum in the temperate belt (25–30° S and 30–35° S, with 52.49% and 43.49% of the endemic component, respectively).
The binary heatmap obtained from the cluster analysis is reported in Figure 2, where flea beetle genera are clustered based on the similarity of their distributions and the areas are clustered based on their faunistic similarity. The 11 genera that are only present in Mediterranean Africa, north of the Sahara Desert, are gathered in block A. They are all shared with the Western Palearctic region, and some are also shared with the Nearctic region (Crepidodera and Hermaeophaga), the Oriental region (Argopus), or with both (Mantura and Neocrepidodera). Cluster B includes most sub-Saharan endemic genera, particularly those distributed S of latitude 15–10° N; only Afrocrepis is also present in Madagascar. It includes Adamastoraltica, Biodontocnema, Chirodica, Drakensbergianella, and Stegnaspea, which are endemic to southern Africa, and Celisaltica, Chaillucola, Dimonikaea, Guilielmia, Perichilona, Tritonaphthona, and Upembaltica, which are more typically Central African. Block C comprises genera with broader distributions on the African continent that are present in other zoogeographical regions, mainly the Palearctic, Oriental, and Australian regions. The analysis also included the genus Angulaphthona in this cluster. It is widespread from north to south on the African continent, with a short extension into the Arabian Peninsula. Cluster D mainly groups genera endemic to the Afrotropical region, which are more widespread than those in cluster B and are generally also present in Madagascar and/or the Arabian Peninsula. Finally, block E consists of genera that are distributed mainly in the northernmost belts of sub-Saharan Africa. They are endemic to this area (e.g., Bangalaltica, Bechynella, Djallonia, Eurylegna, Guinerestia, and Nzerekorena) or are shared with other regions, especially the Australian and Oriental regions and, to a lesser extent, the Palearctic region.
The number of genera in the 15 latitudinal belts is uncorrelated with the area (ln) of each belt (r = 0.14) (Figure 3a and Table 2). It is instead significantly correlated with the number of vegetational divisions (r = 0.74) (Figure 1a,b (green bars), Figure 4, and Table 2). The number of genera also shows strong positive correlations with some of the bioclimatic variables considered here: BIO3 (isothermality: r = 0.91), BIO13 (precipitation of the wettest month: r = 0.89), and BIO18 (precipitation of the warmest quarter: r = 0.91) (Figure 3b and Table 3).
Figure 4 shows the main vegetational divisions within the 15 latitudinal belts and a vegetation division map with the number of flea beetle genera in each belt. The northernmost latitudinal belt, including Mediterranean Africa (40–35° N), hosts significant taxonomic richness (22 genera), despite occupying a relatively small area (219.406 km2). It is mainly characterized by the vegetational division “Northern African Mediterranean Scrub” (2.B.1.Pk), which occupies 63.74% of its area. Moving southward, belts 30–25° N and 25–20° N have an evident increase in the surface occupied by the “Saharan Desert” (3.A.2.Fh) (85.42% and 79.06%, respectively), which is accompanied by a significant decrease in the number of flea beetle genera (13 and 12, respectively), despite the large areas covered by these belts (2,567,593 km2 and 2,990,429 km2, respectively). A marked increase in the number of genera is observed approaching the equator. In the belt 20–15° N, a substantial increase in the number of genera (32) is combined with the extension of the “North Sahel Semi-Desert Scrub & Grassland” (3.A.2.Pf) (60.68%) and the contraction of the Saharan Desert (25.44%). The two southernmost pre-equatorial belts (15–10° N and 10–5° N) show further growth in the number of genera (53 in both cases) and the extension of savannah vegetation (“Sudano-Sahelian Dry Savanna” (2.A.1.Fi): 47.72%; “West-Central African Mesic Woodland & Savanna” (2.A.1.Ff): 32.84%), and, to a lesser extent, forestry (“Guineo-Congolian Evergreen & Semi-Evergreen Rainforest” (1 .A.2.Fd): 18.45%). The strictly equatorial latitudinal belts (5–0° N and 0–5° S) host the highest numbers of flea beetle genera (65 and 66, respectively). They are primarily occupied by the “Guineo-Congolian Evergreen & Semi-Evergreen Rainforest” (1.A.2.Fd), with 45.57% of the area in the northern belt (5–0° N) and 53.03% of the area in the southern one (0–5° S). In austral Africa, the two latitudinal belts 5–10° S and 10–15° S (north of the Tropic of Capricorn) host similar taxonomic richness (64 and 58 genera, respectively). The subsequent four temperate belts from 15° S to 35° S have comparatively smaller numbers of genera (44, 48, 51, and 39, respectively), especially in correspondence with the Namib and Kalahari deserts (15–25° S). Still, these numbers are decidedly higher than in the analogous belts of boreal Africa. From the vegetational point of view, the two northernmost belts (15–20° S and 20–25° S) are mainly characterized by savannahs (“Sudano-Sahelian Dry Savanna” (2.A.1.Fi); “Mopane Savanna” (2.A.1.Fh); and “Miombo & Associated Broadleaf Savanna” (2.A.1.Fn)), with total coverage values of 85.31% and 79.38%, respectively. The two southernmost belts (25–30° S and 30–35° S) are the only ones characterized by the presence of karoo vegetation (“Nama Karoo Semi-Desert Scrub & Grassland” (3.A.2.Fh) and “Succulent Karoo” (3.A.2.Fc), 26.13% and 37.40%, respectively), and high-altitude pasture (“Southern African Montane Grassland” (2.B.2.Fm)) (23.76% and 19.15%, respectively). Despite their small areas (915.547 km2 and 478.961 km2, respectively), they have proportionally high numbers of genera (51 and 39, respectively). The 30–35° S belt is the only one hosting Mediterranean scrub (“South African Cape Mediterranean Scrub” (2.B.1.Fh)), which occupies 17.26% of its surface area.

4. Discussion

We expected that the richness of phytophagous insects is linked to plant diversity, which increases from temperate to tropical latitudes [53,54]. Our results also showed this general latitudinal trend for the flea beetle genera in continental Africa (Figure 1a,b). More specifically, the number of genera is significantly correlated with the number of vegetational divisions [49], rather than the area of each latitudinal belt. Different vegetation types necessarily produce different ecological gradients that can favor biological diversification [55]. In addition, ecotones between vegetation types can favor edge effects, including increases in taxonomic richness [56,57].
However, single vegetation types also play a significant role in shaping taxonomic richness. In some cases, the difference in the number of genera is related to the different extensions or contractions of a specific vegetational type, rather than the number of vegetational divisions. For example, the increase in the taxonomic richness in the belt 20–15° N compared to the belt 25–20° N is combined with the extension of scrub vegetation and grasslands and the contraction of the Saharan Desert; the increase in the belt 5–0° N compared to the belt 10–5° N is combined with the extension of the evergreen rainforests and the contraction of the dry and mesic savannah; the decrease in the belt 15–20° S compared to the belt 10–15° S is mainly combined with the extension of the drier mopane savannah and the contraction of the wetter miombo and broadleaf savannah.
Both insects and plants also respond to abiotic factors that may have played independent roles in shaping current biodiversity patterns [58,59,60]. In our analysis, taxonomic richness appears to be higher where seasonality is absent and temperature oscillations over the year are comparable to the day-to-night temperature oscillations (the day-to-night temperature oscillations represent about 70–75% of the summer-to-winter variations); this occurs mainly in the equatorial area. Moreover, high mean values of precipitation in the wettest month (BIO13 ≥ 200 mm) and warmest quarter (BIO18 ≥ 300 mm) seem to favor the presence of a higher number of flea beetle genera in Africa.
These factors lead to a two-peak trend in the taxonomic richness of flea beetle genera from north to south in continental Africa.
Regarding the endemic component, most of the 44 genera occur in more than one latitudinal belt. Therefore, they are a representative subset of the whole ensemble of the sub-Saharan flea beetle fauna. They are subjected to the same factors affecting the taxonomic richness and thus show a similar latitudinal trend in the number of genera. The presence of genera exclusively associated with a single belt is mainly related to the occurrence of mountain systems, such as Celisaltica in the Ruwenzori Massif (Uganda), Perichilona in the Iringa region (Tanzania), Upembaltica in the Katanga region (Democratic Republic of Congo), and Drakensbergianella in the Drakensberg Mountains (Democratic Republic of South Africa). This is not surprising, considering the acknowledged role of tropical mountains as “cradles” and/or “museums” of biodiversity [10,11,61,62,63]. Indeed, although other mountains, such as Mount Kenya, Mount Aberdare, and Mount Kilimanjaro, lack endemic flea beetle genera, they nonetheless host several endemicities at the species level.

Author Contributions

Conceptualization, M.B. and P.D.; methodology, M.B. and M.I.; validation, M.B., P.D. and M.I.; formal analysis, M.B. and M.I.; investigation, M.B. and P.D.; data curation, M.B., P.D. and M.I.; writing—original draft preparation, M.B.; writing—review and editing, M.B., P.D. and M.I.; visualization, M.B., P.D. and M.I.; funding acquisition, P.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Department of Life, Health and Environmental Sciences of the University of L’Aquila (grant number PSD2304).

Data Availability Statement

Upon request, the authors can provide the original data used in this paper.

Acknowledgments

We are grateful to all the collection managers and curators from the institutions that enabled us to study their material.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gaston, K.J. Global Patterns in Biodiversity. Nature 2000, 405, 220–227. [Google Scholar] [CrossRef] [PubMed]
  2. Pollock, L.J.; O’Connor, L.M.J.; Mokany, K.; Rosauer, D.F.; Talluto, M.V.; Thuiller, W. Protecting Biodiversity (in All Its Complexity): New Models and Methods. Trends Ecol. Evol. 2020, 35, 1119–1128. [Google Scholar] [CrossRef] [PubMed]
  3. Biondi, M.; D’Alessandro, P.; De Simone, W.; Iannella, M. DBSCAN and GIE, Two Density-Based “Grid-Free” Methods for Finding Areas of Endemism: A Case Study of Flea Beetles (Coleoptera, Chrysomelidae) in the Afrotropical Region. Insects 2021, 12, 1115. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, Y.; Song, Y.-G.; Zhang, C.-Y.; Wang, T.-R.; Su, T.-H.; Huang, P.-H.; Meng, H.-H.; Li, J. Latitudinal Diversity Gradient in the Changing World: Retrospectives and Perspectives. Diversity 2022, 14, 334. [Google Scholar] [CrossRef]
  5. Jetz, W.; Thomas, G.H.; Joy, J.B.; Hartmann, K.; Mooers, A.O. The Global Diversity of Birds in Space and Time. Nature 2012, 491, 444–448. [Google Scholar] [CrossRef]
  6. Pyron, R.A.; Wiens, J.J. Large-Scale Phylogenetic Analyses Reveal the Causes of High Tropical Amphibian Diversity. Proc. R. Soc. B Biol. Sci. 2013, 280, 20131622. [Google Scholar] [CrossRef]
  7. Kerkhoff, A.J.; Moriarty, P.E.; Weiser, M.D. The Latitudinal Species Richness Gradient in New World Woody Angiosperms Is Consistent with the Tropical Conservatism Hypothesis. Proc. Natl. Acad. Sci. USA 2014, 111, 8125–8130. [Google Scholar] [CrossRef]
  8. Rolland, J.; Condamine, F.L.; Jiguet, F.; Morlon, H. Faster Speciation and Reduced Extinction in the Tropics Contribute to the Mammalian Latitudinal Diversity Gradient. PLoS Biol. 2014, 12, e1001775. [Google Scholar] [CrossRef]
  9. Scherson, R.A.; Thornhill, A.H.; Urbina-Casanova, R.; Freyman, W.A.; Pliscoff, P.A.; Mishler, B.D. Spatial Phylogenetics of the Vascular Flora of Chile. Mol. Phylogenet. Evol. 2017, 112, 88–95. [Google Scholar] [CrossRef]
  10. Dagallier, L.M.J.; Janssens, S.B.; Dauby, G.; Blach-Overgaard, A.; Mackinder, B.A.; Droissart, V.; Svenning, J.; Sosef, M.S.M.; Stévart, T.; Harris, D.J.; et al. Cradles and Museums of Generic Plant Diversity across Tropical Africa. New Phytol. 2020, 225, 2196–2213. [Google Scholar] [CrossRef]
  11. McKenna, D.D.; Farrell, B.D. Tropical Forests Are Both Evolutionary Cradles and Museums of Leaf Beetle Diversity. Proc. Natl. Acad. Sci. USA 2006, 103, 10947–10951. [Google Scholar] [CrossRef]
  12. Condamine, F.L.; Sperling, F.A.H.; Wahlberg, N.; Rasplus, J.-Y.; Kergoat, G.J. What Causes Latitudinal Gradients in Species Diversity? Evolutionary Processes and Ecological Constraints on Swallowtail Biodiversity: Phylogeny and Latitudinal Diversity Gradient. Ecol. Lett. 2012, 15, 267–277. [Google Scholar] [CrossRef]
  13. Jablonski, D.; Huang, S.; Roy, K.; Valentine, J.W. Shaping the Latitudinal Diversity Gradient: New Perspectives from a Synthesis of Paleobiology and Biogeography. Am. Nat. 2017, 189, 1–12. [Google Scholar] [CrossRef]
  14. Owens, H.L.; Lewis, D.S.; Dupuis, J.R.; Clamens, A.; Sperling, F.A.H.; Kawahara, A.Y.; Guralnick, R.P.; Condamine, F.L.; Kerr, J. The Latitudinal Diversity Gradient in New World Swallowtail Butterflies Is Caused by Contrasting Patterns of Out-of- and Into-the-tropics Dispersal. Glob. Ecol. Biogeogr. 2017, 26, 1447–1458. [Google Scholar] [CrossRef]
  15. D’Alessandro, P.; Iannella, M.; Frasca, R.; Biondi, M. Distribution Patterns and Habitat Preference for the Genera-Group Blepharida s.l. in Sub-Saharan Africa (Coleoptera: Chrysomelidae: Galerucinae: Alticini). Zool. Anz. 2018, 277, 23–32. [Google Scholar] [CrossRef]
  16. Economo, E.P.; Narula, N.; Friedman, N.R.; Weiser, M.D.; Guénard, B. Macroecology and Macroevolution of the Latitudinal Diversity Gradient in Ants. Nat. Commun. 2018, 9, 1778. [Google Scholar] [CrossRef]
  17. Iannella, M.; D’Alessandro, P.; De Simone, W.; Biondi, M. Habitat Specificity, Host Plants and Areas of Endemism for the Genera-Group Blepharida s.l. in the Afrotropical Region (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Insects 2021, 12, 299. [Google Scholar] [CrossRef]
  18. Nadein, K.S.; Bezdêk, J. Galerucinae Latreille 1802. In Coleoptera, Beetles. Vol. 3. Morphology and Systematics (Phytophaga); Leschen, R.A.B., Beutel, R.G., Eds.; De Gruyter: Berlin, Germany, 2014; pp. 251–259. [Google Scholar]
  19. Bieńkowski, A.O.; Orlova-Bienkowskaja, M.J. Alien Leaf Beetles (Coleoptera, Chrysomelidae) of European Russia and Some General Tendencies of Leaf Beetle Invasions. PLoS ONE 2018, 13, e0203561. [Google Scholar] [CrossRef]
  20. Iannella, M.; D’Alessandro, P.; Longo, S.; Biondi, M. New Records and Potential Distribution by Ecological Niche Modeling of Monoxia obesula in the Mediterranean Area. Bull. Insectology 2019, 72, 135–142. [Google Scholar]
  21. Iannella, M.; D’Alessandro, P.; Biondi, M. Forecasting the Spread Associated with Climate Change in Eastern Europe of the Invasive Asiatic Flea Beetle, Luperomorpha xanthodera (Coleoptera: Chrysomelidae). Eur. J. Entomol. 2020, 117, 130–138. [Google Scholar] [CrossRef]
  22. Iannella, M.; De Simone, W.; D’Alessandro, P.; Biondi, M. Climate Change Favours Connectivity between Virus-Bearing Pest and Rice Cultivations in Sub-Saharan Africa, Depressing Local Economies. PeerJ 2021, 9, e12387. [Google Scholar] [CrossRef] [PubMed]
  23. De Simone, W.; Iannella, M.; D’Alessandro, P.; Biondi, M. Assessing Influence in Biofuel Production and Ecosystem Services When Environmental Changes Affect Plant–Pest Relationships. GCB Bioenergy 2020, 12, 864–877. [Google Scholar] [CrossRef]
  24. Douglas, H.B.; Konstantinov, A.S.; Brunke, A.J.; Moseyko, A.G.; Chapados, J.T.; Eyres, J.; Richter, R.; Savard, K.; Sears, E.; Prathapan, K.D.; et al. Phylogeny of the Flea Beetles (Galerucinae: Alticini) and the Position of Aulacothorax Elucidated through Anchored Phylogenomics (Coleoptera: Chrysomelidae: Alticini). Syst. Entomol. 2023, 1–23. [Google Scholar] [CrossRef]
  25. Jolivet, P.; Verma, K.K. Biology of Leaf Beetles; Intercept: Hampshire, UK, 2002; ISBN 978-1-898298-86-1. [Google Scholar]
  26. Biondi, M.; Urbani, F.; D’Alessandro, P. Relationships between the Geographic Distribution of Phytophagous Insects and Different Types of Vegetation: A Case Study of the Flea Beetle Genus Chaetocnema (Coleoptera: Chrysomelidae) in the Afrotropical Region. Eur. J. Entomol. 2015, 112, 311–327. [Google Scholar] [CrossRef]
  27. McGeoch, M.A. The Selection, Testing and Application of Terrestrial Insects as Bioindicators. Biol. Rev. Camb. Philos. Soc. 1998, 73, 181–201. [Google Scholar] [CrossRef]
  28. Biondi, M.; D’Alessandro, P. The Genus Chabria Jacoby: First Records in the Afrotropical Region with Description of Three New Species from Madagascar and Annotated Worldwide Species Catalogue (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Zool. Anz.-J. Comp. Zool. 2013, 252, 88–100. [Google Scholar] [CrossRef]
  29. Biondi, M.; D’Alessandro, P. Ntaolaltica and Pseudophygasia, Two New Flea Beetle Genera from Madagascar (Coleoptera: Chrysomelidae: Galerucinae: Alticini). Insect Syst. Evol. 2013, 44, 93–106. [Google Scholar] [CrossRef]
  30. D’Alessandro, P.; Urbani, F.; Biondi, M. Biodiversity and Biogeography in Madagascar: Revision of the Endemic Flea Beetle Genus Neodera Duvivier, 1891 with Description of 19 New Species (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Syst. Entomol. 2014, 39, 710–748. [Google Scholar] [CrossRef]
  31. Biondi, M.; D’Alessandro, P. Revision of Diphaulacosoma Jacoby, an Endemic Flea Beetle Genus from Madagascar, with Description of Three New Species (Coleoptera: Chrysomelidae, Galerucinae, Alticini). Fragm. Entomol. 2016, 48, 143. [Google Scholar] [CrossRef]
  32. Iannella, M.; D’Alessandro, P.; Biondi, M. Entomological Knowledge in Madagascar by GBIF Datasets: Estimates on the Coverage and Possible Biases (Insecta). Fragm. Entomol. 2019, 51, 1–10. [Google Scholar] [CrossRef]
  33. ESRI, Inc. ArcGIS Pro 3.1 2023, Environmental Systems Research Institute: Redlands, CA, USA.
  34. Biondi, M. Hesperoides, a New “Hairy” Flea Beetle Genus from Southern Africa (Coleoptera: Chrysomelidae, Galerucinae, Alticini). Fragm. Entomol. 2017, 49, 151–158. [Google Scholar] [CrossRef]
  35. Biondi, M.; D’Alessandro, P. Genus-Group Names of Afrotropical Flea Beetles (Coleoptera: Chrysomelidae: Alticinae): Annotated Catalogue and Biogeographical Notes. Eur. J. Entomol. 2010, 107, 401–424. [Google Scholar] [CrossRef]
  36. Biondi, M.; D’Alessandro, P. Afrotropical Flea Beetle Genera: A Key to Their Identification, Updated Catalogue and Biogeographical Analysis (Coleoptera, Chrysomelidae, Galerucinae, Alticini). ZooKeys 2012, 253, 1–158. [Google Scholar] [CrossRef]
  37. Biondi, M.; D’Alessandro, P. Revision of the Afrotropical Genus Notomela Jacoby, 1899 with Description N. joliveti sp. n. from Principe Island (Coleoptera, Chrysomelidae, Galerucinae, Alticini). ZooKeys 2015, 547, 63–74. [Google Scholar] [CrossRef]
  38. Biondi, M.; D’Alessandro, P. Guilielmia Weise, a Little Known Afrotropical Flea Beetle Genus: Systematic Affinities and Description of a Second New Species from Central Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Zootaxa 2017, 4323, 572. [Google Scholar] [CrossRef]
  39. Biondi, M.; D’Alessandro, P. Taxonomic Revision of the Genus Angulaphthona (Coleoptera: Chrysomelidae: Galerucinae: Alticini). Eur. J. Entomol. 2018, 115, 30–44. [Google Scholar] [CrossRef]
  40. Biondi, M.; Frasca, R.; Grobbelaar, E.; D’Alessandro, P. Supraspecific Taxonomy of the Flea Beetle Genus Blepharida Chevrolat, 1836 (Coleoptera: Chrysomelidae) in the Afrotropical Region and Description of Afroblepharida Subgen. Nov. Insect Syst. Evol. 2017, 48, 97–155. [Google Scholar] [CrossRef]
  41. Biondi, M.; Iannella, M.; D’Alessandro, P. Adamastoraltica humicola, New Genus and New Species: The First Example of Possible Moss-Inhabiting Flea Beetle Genus from Sub-Saharan Africa (Coleoptera, Chrysomelidae, Galerucinae). Zootaxa 2020, 4763, 99–108. [Google Scholar] [CrossRef] [PubMed]
  42. Biondi, M.; D’Alessandro, P.; Cerasoli, F.; De Simone, W.; Iannella, M. Taxonomy, Habitat Preference, and Niche Overlap of Two Arrow-Poison Flea Beetle Species of the Genus Polyclada in Sub-Saharan Africa (Coleoptera, Chrysomelidae). Insects 2022, 13, 668. [Google Scholar] [CrossRef]
  43. D’Alessandro, P.; Biondi, M. Ugandaltica Gen. n., a Tiny Flea Beetle from the Forest Canopy in Central Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini). ZooKeys 2018, 746, 123–136. [Google Scholar] [CrossRef] [PubMed]
  44. D’Alessandro, P.; Frasca, R.; Grobbelaar, E.; Iannella, M.; Biondi, M. Systematics and Biogeography of the Afrotropical Flea Beetle Subgenus Blepharidina (Afroblepharida) Biondi & D’Alessandro, with Description of Seven New Species (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Insect Syst. Evol. 2018, 49, 443–480. [Google Scholar] [CrossRef]
  45. D’Alessandro, P.; Iannella, M.; Biondi, M. Revision of the Afrotropical Flea Beetle Subgenus Blepharidina s. str. Bechyné (Coleoptera, Chrysomelidae). Zootaxa 2019, 4545, 32. [Google Scholar] [CrossRef]
  46. Döberl, M. Alticinae. In Catalogue of Palaearctic Coleoptera; Löbl, I., Smetana, A., Eds.; Apollo Books: Stenstrup, Denmark, 2010; Volume 6-Chrysomeloidea; pp. 491–563. ISBN 978-87-88757-71-2. [Google Scholar]
  47. Freeman, B.G.; Pennell, M.W. The Latitudinal Taxonomy Gradient. Trends Ecol. Evol. 2021, 36, 778–786. [Google Scholar] [CrossRef]
  48. Nie, R.-E.; Breeschoten, T.; Timmermans, M.J.T.N.; Nadein, K.; Xue, H.-J.; Bai, M.; Huang, Y.; Yang, X.-K.; Vogler, A.P. The Phylogeny of Galerucinae (Coleoptera: Chrysomelidae) and the Performance of Mitochondrial Genomes in Phylogenetic Inference Compared to Nuclear RRNA Genes. Cladistics 2018, 34, 113–130. [Google Scholar] [CrossRef]
  49. Sayre, R. A New Map of Standardized Terrestrial Ecosystems of Africa; Association of American Geographers: Washington, DC, USA, 2013; ISBN 978-0-89291-275-9. [Google Scholar]
  50. Fick, S.E.; Hijmans, R.J. WorldClim 2: New 1-km Spatial Resolution Climate Surfaces for Global Land Areas. Int. J. Climatol. 2017, 37, 4302–4315. [Google Scholar] [CrossRef]
  51. NCSS Statistical Software 2023. NCSS, LLC.: Kaysville, UT, USA. Available online: ncss.com/software/ncss (accessed on 1 March 2023).
  52. Metsalu, T.; Vilo, J. ClustVis: A Web Tool for Visualizing Clustering of Multivariate Data Using Principal Component Analysis and Heatmap. Nucleic Acids Res. 2015, 43, W566–W570. [Google Scholar] [CrossRef]
  53. Novotny, V.; Drozd, P.; Miller, S.E.; Kulfan, M.; Janda, M.; Basset, Y.; Weiblen, G.D. Why Are There So Many Species of Herbivorous Insects in Tropical Rainforests? Science 2006, 313, 1115–1118. [Google Scholar] [CrossRef]
  54. Norton, D.A.; Didham, R.K. Comment on “Why Are There So Many Species of Herbivorous Insects in Tropical Rainforests”? Science 2007, 315, 1666. [Google Scholar] [CrossRef]
  55. Freedman, A.H.; Harrigan, R.J.; Zhen, Y.; Hamilton, A.M.; Smith, T.B. Evidence for Ecotone Speciation across an African Rainforest-savanna Gradient. Mol. Ecol. 2023, 00, 1–14. [Google Scholar] [CrossRef]
  56. Silva-Pereira, I.; Meira-Neto, J.A.A.; Rezende, V.L.; Eisenlohr, P.V. Biogeographic Transitions as a Source of High Biological Diversity: Phylogenetic Lessons from a Comprehensive Ecotone of South America. Perspect. Plant Ecol. Evol. Syst. 2020, 44, 125528. [Google Scholar] [CrossRef]
  57. Kotze, D.J.; Samways, M.J. No General Edge Effects for Invertebrates at Afromontane Forest/Grassland Ecotones. Biodivers. Conserv. 2001, 10, 443–466. [Google Scholar] [CrossRef]
  58. Benton, M.J. The Red Queen and the Court Jester: Species Diversity and the Role of Biotic and Abiotic Factors Through Time. Science 2009, 323, 728–732. [Google Scholar] [CrossRef] [PubMed]
  59. Fraser, D.; Soul, L.C.; Tóth, A.B.; Balk, M.A.; Eronen, J.T.; Pineda-Munoz, S.; Shupinski, A.B.; Villaseñor, A.; Barr, W.A.; Behrensmeyer, A.K.; et al. Investigating Biotic Interactions in Deep Time. Trends Ecol. Evol. 2021, 36, 61–75. [Google Scholar] [CrossRef] [PubMed]
  60. Winkler, I.S.; Mitter, C.; Scheffer, S.J. Repeated Climate-Linked Host Shifts Have Promoted Diversification in a Temperate Clade of Leaf-Mining Flies. Proc. Natl. Acad. Sci. USA 2009, 106, 18103–18108. [Google Scholar] [CrossRef] [PubMed]
  61. Cooper, J.C.; Crouch, N.M.A.; Ferguson, A.W.; Bates, J.M. Climatic Refugia and Reduced Extinction Correlate with Underdispersion in Mammals and Birds in Africa. Ecol. Evol. 2022, 12, e8752. [Google Scholar] [CrossRef]
  62. Li, J.; Li, Q.; Wu, Y.; Ye, L.; Liu, H.; Wei, J.; Huang, X. Mountains Act as Museums and Cradles for Hemipteran Insects in China: Evidence from Patterns of Richness and Phylogenetic Structure. Glob. Ecol. Biogeogr. 2021, 30, 1070–1085. [Google Scholar] [CrossRef]
  63. Sonne, J.; Dalsgaard, B.; Borregaard, M.K.; Kennedy, J.; Fjeldså, J.; Rahbek, C. Biodiversity Cradles and Museums Segregating within Hotspots of Endemism. Proc. R. Soc. B Biol. Sci. 2022, 289, 20221102. [Google Scholar] [CrossRef]
Figure 1. (a) The number of flea beetle genera within the 15 latitudinal belts that were considered. (b) The percentage of African endemic genera (orange, with the fraction of endemic genera exclusive to the belt in red) and the number of vegetation divisions [49] (green) within the 15 latitudinal belts that were considered.
Figure 1. (a) The number of flea beetle genera within the 15 latitudinal belts that were considered. (b) The percentage of African endemic genera (orange, with the fraction of endemic genera exclusive to the belt in red) and the number of vegetation divisions [49] (green) within the 15 latitudinal belts that were considered.
Insects 14 00394 g001
Figure 2. Binary heatmap from the hierarchical clustering with the genera and areas included in the analysis. AP: Arabian Peninsula, AUR: Australian region, MAD: Madagascar, NAR: Nearctic region, NTR: Neotropical region, ORR: Oriental region, PAR: Palearctic region.
Figure 2. Binary heatmap from the hierarchical clustering with the genera and areas included in the analysis. AP: Arabian Peninsula, AUR: Australian region, MAD: Madagascar, NAR: Nearctic region, NTR: Neotropical region, ORR: Oriental region, PAR: Palearctic region.
Insects 14 00394 g002
Figure 3. The number of flea beetle genera of the 15 latitudinal belts and (a) the area (ln) of each belt and (b) the values of the three bioclimatic variables [50] with the strongest positive correlations with the number of genera. r: Pearson correlation coefficient.
Figure 3. The number of flea beetle genera of the 15 latitudinal belts and (a) the area (ln) of each belt and (b) the values of the three bioclimatic variables [50] with the strongest positive correlations with the number of genera. r: Pearson correlation coefficient.
Insects 14 00394 g003
Figure 4. Main vegetational divisions [49] within the 15 latitudinal belts (left). Vegetation map and number of flea beetle genera in each belt (right).
Figure 4. Main vegetational divisions [49] within the 15 latitudinal belts (left). Vegetation map and number of flea beetle genera in each belt (right).
Insects 14 00394 g004
Table 1. Flea beetle genera on the African continent, species number for each genus, and distribution. AP: Arabian Peninsula, AFR: African continent, AUR: Australian region, MAD: Madagascar, MAF: Mediterranean Africa, NAR: Nearctic region, NTR: Neotropical region, ORR: Oriental region, PAR: Palearctic region, SSA: sub-Saharan Africa.
Table 1. Flea beetle genera on the African continent, species number for each genus, and distribution. AP: Arabian Peninsula, AFR: African continent, AUR: Australian region, MAD: Madagascar, MAF: Mediterranean Africa, NAR: Nearctic region, NTR: Neotropical region, ORR: Oriental region, PAR: Palearctic region, SSA: sub-Saharan Africa.
GeneraNo. of Species in Continental AfricaDistribution
Adamastoraltica Biondi, Iannella and D’Alessandro, 20201SSA
Afroaltica Biondi and D’Alessandro, 20072SSA
Afrocrepis Bechyné, 19543SSA-MAD
Afrorestia Bechyné, 1959≈20SSA-MAD
Alocypha Weise, 19111SSA
Altica Geoffroy, 1762>30World
Amphimela Chapuis, 1875>30SSA-AP-MAD-PAR-ORR-AUR
Angulaphthona Bechyné, 19607AFR-AP
Aphthona Chevrolat, 1836>30World
Apteropeda Motschulsky, 18601MAF-PAR
Argopistes Motschulsky, 1860≈10MAF-PAR
Argopistoides Jacoby, 18924SSA-ORR
Argopus Fischer von Waldheim, 18241MAF-PAR-ORR
Arrhenocoela Foudras, 18611MAF-PAR
Bangalaltica Bechyné, 19601SSA
Batophila Foudras, 18601MAF-PAR
Bechuana Scherer, 19702SSA
Bechynella Biondi and D’Alessandro, 20103SSA
Bezdekaltica Döberl, 20121SSA
Bikasha Maulik, 1931≈6SSA-MAD-PAR-ORR
Biodontocnema Biondi, 20001SSA
Blepharidina Bechyné, 1968>30SSA
Calotheca Heyden, 1887>30SSA-AP-PAR
Carcharodis Weise, 19107SSA-MAD
Celisaltica Biondi, 20011SSA
Chaetocnema Stephens, 1831>30World
Chaillucola Bechyné, 19681SSA
Chirodica Germar, 18348SSA
Collartaltica Bechyné, 19596SSA
Crepidodera Chevrolat, 18363MAF-PAR-NAR
Decaria Weise, 1895≈20SSA-AP
Diamphidia Gerstaecker, 185517SSA
Dibolia Latreille, 1829≈20AFR-PAR-NAR
Dimonikaea Bechyné, 19681SSA
Djallonia Bechyné, 19551SSA
Drakensbergianella Biondi and D’Alessandro, 20031SSA
Dunbrodya Jacoby, 19062SSA
Epitrix Foudras, 1860≈12World
Eriotica Harold, 18777SSA
Eurylegna Weise, 19106SSA
Eutornus Clark, 1860≈7SSA-MAD
Gabonia Jacoby, 1893>30SSA-AP
Guilielmia Weise, 19242SSA
Guinerestia Scherer, 19593SSA
Hemipyxis Chevrolat, 1836>30SSA-AP-PAR-ORR-AUR
Hermaeophaga Foudras, 18601MAF-PAR-NAR
Hespera Weise, 1889>30SSA-AP-PAR-ORR
Hesperoides Biondi, 20171SSA
Homichloda Weise, 19023SSA
Jacobyana Maulik, 19263SSA-ORR
Kanonga Bechyné, 19601SSA
Kenialtica Bechyné, 19607SSA-MAD
Kimongona Bechyné, 19593SSA
Lampedona Weise, 19073SSA
Lepialtica Scherer, 19624SSA
Longitarsus Berthold, 1827>30World
Luperomorpha Weise, 18872SSA-AP-PAR-ORR-AUR
Lypnea Baly, 1876≈10SSA-PAR-ORR-AUR
Malvernia Jacoby, 18992SSA
Manobia Jacoby, 1885≈15SSA-PAR-ORR-AUR
Mantura Stephens, 18314MAF-PAR-NAR-ORR
Montiaphthona Scherer, 19616SSA
Myrcina Chapuis, 1875≈16SSA-MAD
Neocrepidodera Heikertinger, 19115MAF-PAR-NAR-ORR
Nisotra Baly, 1864>30SSA-AP-PAR-ORR-AUR
Notomela Jacoby, 18993SSA
Nzerekorena Bechyné, 19559SSA
Ochrosis Foudras, 18611MAF-PAR
Oedionychis Latreille, 18292MAF-PAR
Orestia Chevrolat, 18363MAF-PAR
Orthocrepis Weise, 1888>30AFR-AP-PAR-ORR
Paradibolia Baly, 18753SSA-ORR-AUR
Perichilona Weise, 19192SSA
Philopona Weise, 1903≈20SSA-AP-PAR-ORR-AUR
Phygasia Chevrolat, 1836>30SSA-AP-PAR-ORR
Phyllotreta Chevrolat, 1836>30World
Physodactyla Chapuis, 18756SSA
Physoma Clark, 18632SSA-MAD
Physonychis Clark, 1860>30SSA
Podagrica Chevrolat, 1836>30SSA-AP-PAR-ORR
Polyclada Chevrolat, 183616SSA-AP
Psylliodes Berthold, 18279World
Sanckia Duvivier, 18914SSA-MAD-ORR
Serraphula Jacoby, 189719SSA
Sesquiphaera Bechyné, 1958≈10SSA-MAD
Sjostedtinia Weise, 19102SSA
Sphaeroderma Stephens, 1831>30SSA-AP-PAR-ORR-AUR
Stegnaspea Baly, 18776SSA
Stuckenbergiana Scherer, 19631SSA
Terpnochlorus Fairmaire, 19042SSA-NTR
Toxaria Weise, 19035SSA
Trachytetra Sharp, 18865SSA-PAR-ORR-AUR
Tritonaphthona Bechyné, 19601SSA
Ugandaltica D’Alessandro and Biondi, 20181SSA
Upembaltica Bechyné, 19601SSA
Zomba Bryant, 19221SSA
Table 2. Metadata for the 15 latitudinal belts that were considered. Vegetation divisions refer to Sayre et al. [49].
Table 2. Metadata for the 15 latitudinal belts that were considered. Vegetation divisions refer to Sayre et al. [49].
Latitudinal RangeTotal Area (km2)Total Number of Flea Beetle GeneraAfrican Endemic Genera (%)Flea Beetle Genera Endemic to a Single Latitudinal Range (%)Number of Vegetation Divisions
40–35° N219,406220012
35–30° N1,441,210230013
30–25° N2,567,593137.69013
25–20° N2,990,429128.33013
20–15°3,228,3013228.13019
15–10° N3,620,3335347.173.7719
10–5° N3,673,9715347.17018
5–0° N2,269,3006553.851.5419
0–5° S1,888,2266654.551.5127
5–10° S1,617,5386453.123.1227
10–15° S1,648,1115851.72029
15–20° S1,520,1574445.45027
20–25° S1,201,0494847.92027
25–30° S915,5475152.943.9229
30–35° S478,9613943.495.1324
Table 3. Metadata for the 15 latitudinal belts that were considered. BIO2: mean diurnal range, BIO3: isothermality, BIO8: mean temperature of the wettest quarter, BIO9: mean temperature of the driest quarter, BIO13: precipitation of the wettest month, BIO14: precipitation of the driest month, BIO15: precipitation seasonality, BIO18: precipitation of the warmest quarter, BIO19: precipitation of the coldest quarter [50].
Table 3. Metadata for the 15 latitudinal belts that were considered. BIO2: mean diurnal range, BIO3: isothermality, BIO8: mean temperature of the wettest quarter, BIO9: mean temperature of the driest quarter, BIO13: precipitation of the wettest month, BIO14: precipitation of the driest month, BIO15: precipitation seasonality, BIO18: precipitation of the warmest quarter, BIO19: precipitation of the coldest quarter [50].
Latitudinal RangeBIO2 (Mean)BIO3 (Mean)BIO8 (Mean)BIO9 (Mean)BIO13 (Mean)BIO14 (Mean)BIO15 (Mean)BIO18 (Mean)BIO19 (Mean)
40–35° N11.3938.2711.0124.9972.545.32351.2938.31192.3
35–30° N12.9440.4413.7828.0425.41.26560.879.29660.28
30–25° N14.4343.2217.5527.784.7160.0649.471.7759.149
25–20° N14.946.4229.4521.576.8370.12267.4710.191.752
20–15°15.1152.8931.0922.9744.360.13713929.211.894
15–10° N14.0559.6326.525.05192.70.814127.188.07105.8
10–5° N11.9468.5324.5825.03223.76.89584.81195.3422.1
5–0° N10.878.3724.6424.71197.529.0962.61295.3344.7
0–5° S9.79978.0523.6322.66215.427.1958.34403.6155.5
5–10° S11.1869.5423.4321.632133.52583.16333.965.69
10–15° S12.7461.1722.4718.63237.10.716104.32887.666
15–20° S14.1658.7524.1618.39166.12.265109.2234.315.84
20–25° S15.2759.724.8316.4191.842.44695.73215.611.29
25–30° S15.5455.7122.7712.6178.245.4574.59202.122.39
30–35° S14.4154.2518.4113.3261.613.8346.66134.970.79
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Biondi, M.; D’Alessandro, P.; Iannella, M. Up and down from North to South: Latitudinal Distribution of Flea Beetle Genera in Continental Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Insects 2023, 14, 394. https://doi.org/10.3390/insects14040394

AMA Style

Biondi M, D’Alessandro P, Iannella M. Up and down from North to South: Latitudinal Distribution of Flea Beetle Genera in Continental Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Insects. 2023; 14(4):394. https://doi.org/10.3390/insects14040394

Chicago/Turabian Style

Biondi, Maurizio, Paola D’Alessandro, and Mattia Iannella. 2023. "Up and down from North to South: Latitudinal Distribution of Flea Beetle Genera in Continental Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini)" Insects 14, no. 4: 394. https://doi.org/10.3390/insects14040394

APA Style

Biondi, M., D’Alessandro, P., & Iannella, M. (2023). Up and down from North to South: Latitudinal Distribution of Flea Beetle Genera in Continental Africa (Coleoptera, Chrysomelidae, Galerucinae, Alticini). Insects, 14(4), 394. https://doi.org/10.3390/insects14040394

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop