Literature DB >> 27408569

Predaceous water beetles (Coleoptera, Hydradephaga) of the Lake St Lucia system, South Africa: biodiversity, community ecology and conservation implications.

Renzo Perissinotto1, Matthew S Bird1, David T Bilton2.   

Abstract

Water beetles are one of the dominant macroinvertebrate groups in inland waters and are excellent ecological indicators, reflecting both the diversity and composition of the wider aquatic community. The predaceous water beetles (Hydradephaga) make up around one-third of known aquatic Coleoptera and, as predators, are a key group in the functioning of many aquatic habitats. Despite being relatively well-known taxonomically, ecological studies of these insects in tropical and subtropical systems remain rare. A dedicated survey of the hydradephagan beetles of the Lake St Lucia wetlands (South Africa) was undertaken between 2013 and 2015, providing the first biodiversity census for this important aquatic group in the iSimangaliso Wetland Park, a UNESCO World Heritage Site within the Maputaland biodiversity hotspot. A total of 32 sites covering the entire spectrum of waterbody types were sampled over the course of three collecting trips. The Lake St Lucia wetlands support at least 68 species of Hydradephaga, a very high level of diversity comparing favourably with other hotspots on the African continent and elsewhere in the world and a number of taxa are reported for South Africa for the first time. This beetle assemblage is dominated by relatively widespread Afrotropical taxa, with few locally endemic species, supporting earlier observations that hotspots of species richness and centres of endemism are not always coincident. Although there was no significant difference in the number of species supported by the various waterbody types sampled, sites with the highest species richness were mostly temporary depression wetlands. This contrasts markedly with the distribution of other taxa in the same system, such as molluscs and dragonflies, which are most diverse in permanent waters. Our study is the first to highlight the importance of temporary depression wetlands and emphasises the need to maintain a variety of wetland habitats for aquatic conservation in this biodiverse region.

Entities:  

Keywords:  Afrotropical region; Aquatic beetles; biodiversity census; iSimangaliso Wetland Park; wetland conservation

Year:  2016        PMID: 27408569      PMCID: PMC4926692          DOI: 10.3897/zookeys.595.8614

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

The aquatic , or , with over 5300 species currently described worldwide, account for around one third of the total aquatic and semi-aquatic beetles described to date (Lancaster and Downes 2013). The group is dominated by the diving beetles (), with over 4300 species globally (Nilsson 2015), but also includes the familiar whirligig beetles (), the crawling water beetles () and the burrowing water beetles (), as well as a number of smaller families with largely relictual distributions (Shull et al. 2001, Beutel et al. 2005, Stals and de Moor 2007, Jäch and Balke 2008, Toussaint et al. 2016). are important predators in aquatic systems, consuming a wide variety of benthic and pelagic invertebrates, mainly other insects and crustaceans (Beutel and Leschen 2005, Lancaster and Downes 2013, Culler et al. 2014). Due to their aerial respiration and winged adults, many species are able to fly long distances and move between waterbodies in response to, for example, seasonal drought – a strategy most common in the inhabitants of small, temporary lentic waters (Bilton 2014a). Like most aquatic beetles, are primarily freshwater insects, but a number of species are adapted to high salinities and may dominate the macroinvertebrate fauna of hypersaline inland waters (Stals and de Moor 2007, Millan et al. 2011, Lancaster and Downes 2013); indeed as a group, the aquatic are found across the entire spectrum of inland waters, making them an excellent focal taxon in freshwater ecology and conservation (Foster and Bilton 2014). , and indeed water beetles in general, are excellent surrogates of wider freshwater macroinvertebrate biodiversity, their assemblages reflecting not only overall species richness, but also patterns of community composition very well (Bilton et al. 2006, Sánchez-Fernández et al. 2006, Guareschi et al. 2015). Water beetles are diverse both ecologically and in terms of life-history (Jäch and Balke 2008), and are functionally important in most inland waters, being involved in a range of ecosystem processes such as nutrient cycling and processing. They have been used to select priority areas for aquatic conservation in a number of countries and regions (e.g. Foster et al. 1989, Sánchez-Fernández et al. 2004, Foster and Bilton 2014), but despite excellent global or regional catalogues (e.g. Nilsson 2001, Nilsson and van Vondel 2005) this is hampered in many areas by a lack of baseline ecological data, particularly in the Afrotropics. Lake St Lucia on the north-east coast of South Africa is a prominent coastal system, historically communicating freely with the open ocean most of the time. Recently, freshwater deprivation related to anthropogenic manipulation and a regional drought has led to large-scale desiccation and closure of its mouth since July 2002 (Whitfield and Taylor 2009, Perissinotto et al. 2013). However, climatic conditions in the area have changed, with the establishment of a new wet phase during the period 2010 - 2014. This has resulted in repeated flood events, with large amounts of fresh water flowing into the system and changing the prevailing salinity state from hypersaline to oligo- or polyhaline. Lake St Lucia itself sits within the iSimangaliso Wetland Park, South Africa’s first UNESCO World Heritage Site, and a Ramsar wetland of global significance due to its exceptional biodiversity. iSimangaliso and the coastal plains of KwaZulu-Natal form part of Maputaland, a centre of endemism and transition zone between tropical lowlands to the north and temperate regions to the south and west. Warm currents flowing south from Mozambique mean that the region’s biota is now dominated by tropical species at what is a relatively high southern latitude (van Wyk and Smith 2001, Connell et al. 2013). A detailed biodiversity census has already been completed for some prominent invertebrate groups at St Lucia/iSimangaliso, including the bivalves (Nel et al. 2013), gastropods (Perissinotto et al. 2014) and true crabs (Peer et al. 2014). Historically, there has been little dedicated work on the aquatic insects of the park, with the exception of opportunistic collections (some now deposited in museums) and a few publications in the grey literature (e.g. Vrdoljak 2004). An extensive study of the has been completed recently (Hart et al. 2014), however, revealing a rich fauna at iSimangaliso. As preliminary investigations suggested high aquatic beetle diversity in the park, the current study was undertaken to provide a better understanding of aquatic beetle biodiversity in this globally important region. Here we provide records for all hydradephagan species recorded during dedicated surveys at iSimangaliso, together with multivariate analyses of predaceous water beetle assemblage composition and a brief review of historical records. Given the general lack of such data from southern Africa, and the Afrotropical region in general, our study provides a valuable baseline for the study of this key group of freshwater macroinvertebrates in southern Africa.

Methods

Study area

Samples were collected in and around Lake St Lucia (27°52'0"S to 28°24'0"S and 32°21'0"E to 32°34'0"E), a large (~ 300 to 350 km2) estuarine lake in northern KwaZulu-Natal, South Africa (Fig. 1). The St Lucia system comprises three interconnected shallow lakes (South Lake, North Lake and False Bay) that are linked to the Indian PageBreakOcean via a narrow channel (known as the Narrows) of 21 km in length (Fig. 1). Dedicated surveys of the aquatic beetles of Lake St Lucia and its associated wetlands were undertaken during November 2013 (19th–30th), July 2014 (23rd–24th) and January-February 2015 (31st January–6th February).
Figure 1.

The Lake St Lucia system in northern KwaZulu-Natal. The locations of sites sampled between November 2013 and February 2015 are depicted. Site numbers 1–32 correspond to those in Table 1.

The Lake St Lucia system in northern KwaZulu-Natal. The locations of sites sampled between November 2013 and February 2015 are depicted. Site numbers 1–32 correspond to those in Table 1.
Table 1.

Geographic position and classification of the waterbodies sampled during this study. Sampling took place during the three collecting trips to Lake St Lucia during November 2013, July 2014 and January/February 2015. Classification (wetland type) follows the approach of Ollis et al. (2015). WS; ES; FB.

hydrogeomorphic

– Western Shores

– Eastern Shores

– False Bay

SiteGPS (D°M’S”)Wetland typeRegionNovember 2013July 2014January/February 2015
1 28°20'53.33"S 32°23'38.42"E River (pool) WS xx
2 28°20'54.23"S 32°22'59.68"E Depression WS x
3 28°21'10.77"S 32°23'7.88"E Channelled valley bottom WS x
4 28°21'7.52"S 32°23'24.04"E Channelled valley bottom WS x
5 28°17'55.76"S 32°23'10.62"E River (riparian zone) WS x
6 28°15'26.06"S 32°23'36.51"E Depression WS xxx
7 28°15'11.10"S 32°23'39.95"E Depression WS xxx
8 28°12'25.44"S 32°24'22.97"E Depression (artificial) WS x
9 28°15'19.19"S 32°23'38.53"E Depression WS x
10 28°17'19.08"S 32°23'16.53"E Depression WS x
11 28°18'31.52"S 32°26'54.54"E Un-channelled valley bottom ES x
12 28°17'00.81"S 32°27'43.78"E Depression ES x
13 28°16'6.26"S 32°28'00.02"E Depression ES xx
14 28°16'10.26"S 32°27'35.43"E Depression ES xx
15 28°18'25.29"S 32°26'59.88"E Un-channelled valley bottom ES x
16 28°14'15.05"S 32°24'32.30"E Depression WS x
17 28°15'1.00"S 32°24'9.85"E Channelled valley bottom WS x
18 28°17'44.59"S 32°22'58.49"E Flat WS x
19 28°07'10.99"S 32°31'8.98"E Un-channelled valley bottom ES x
20 28°12'21.75"S 32°29'27.07"E River (main channel) ES x
21 28°20'59.06"S 32°25'50.76"E Depression ES x
22 28°18'59.92"S 32°26'10.64"E Depression ES x
23 28°20'7.84"S 32°26'10.36"E Depression ES x
24 28°22'44.46"S 32°25'20.13"E River (connected to estuary) ES x
25 28°21'59.12"S 32°25'42.10"E Depression ES x
26 27°58'32.33"S 32°21'51.14"E Depression FB x
27 27°57'31.50"S 32°21'41.82"E Depression FB xx
28 27°58'25.01"S 32°22'16.02"E Channelled valley bottom FB x
29 28°00'51.44"S 32°21'54.93"E Channelled valley bottom FB xx
30 28°00'47.95"S 32°22'00.92"E Estuarine lake FB xx
31 28°02'9.17"S 32°21'42.78"E Estuarine lake shore (light trap) FB xxx
32 28°13'14.56"S 32°29'12.45"E Seep ES x
Aquatic beetles were collected from a variety of freshwater habitats surrounding Lake St Lucia and from submerged vegetation habitats at the margins of the estuary itself. A total of 32 sites comprising a wide variety of waterbodies was sampled over the course of the three collection trips (Fig. 1). Sites were chosen in an attempt to cover the range of wetland habitats present in the region, and ranged from open water in the lake itself to the small forest pools and seepages. They also covered most of the geographiPageBreakcal area contained within the St Lucia section of the iSimangaliso Wetland Park. Parts of the western shore (lack of freshwater habitats) and the entire northern and north-eastern shore of the lake (inaccessibility) were not covered by this study. In addition to sampling of the estuarine lake itself (Fig. 2g–h), the following wetland habitats were sampled (following the classification scheme of Ollis et al. 2015): depression wetlands (both isolated and non-isolated, Fig. 2a); valley bottom wetlands (both channelled and un-channelled, Fig. 2b–c); rivers (both in-channel and riparian habitats, Fig. 2d); a wetland flat (Fig. 2e); and a seepage wetland (Fig. 2f). The most frequently encountered habitat was depression wetlands (n = 16), followed by valley bottom wetlands (n = 8), rivers (n = 4), with a single wetland seep and a single wetland flat. Virtually all habitats encountered in this study were extensively vegetated by a mix of emergent and submerged macrophytes. Although the exact inundation regime is not known for each of the waterbodies, some of the smaller depression and valley bottom wetlands are expected to be temporary systems. This was confirmed during the January-February 2015 sampling expedition, when several of the sites sampled previously were dry. Table 1 provides a summary of the locations sampled, their habitat classification and dates of sampling.
Figure 2.

Examples of the wetland habitat types encountered in the St Lucia section of the iSimangaliso Wetland Park during the course of this study. a Depression (site 13) b valley bottom (channelled, site 17) c valley bottom (unchannelled, site 19) d river (site 20) e wetland flat (site 18) f seepage (site 32) g estuarine lake shore (site 31) h estuarine lake body (site 30).

Examples of the wetland habitat types encountered in the St Lucia section of the iSimangaliso Wetland Park during the course of this study. a Depression (site 13) b valley bottom (channelled, site 17) c valley bottom (unchannelled, site 19) d river (site 20) e wetland flat (site 18) f seepage (site 32) g estuarine lake shore (site 31) h estuarine lake body (site 30). Geographic position and classification of the waterbodies sampled during this study. Sampling took place during the three collecting trips to Lake St Lucia during November 2013, July 2014 and January/February 2015. Classification (wetland type) follows the approach of Ollis et al. (2015). WS; ES; FB. hydrogeomorphic – Western Shores – Eastern Shores – False Bay

Field sampling protocol

Sweep netting was employed on all three sampling trips as the primary method for collecting aquatic beetles. A long-handled square-framed sweep net with a 30 cm mouth and 1 mm mesh was swept repeatedly from the water surface to the bottom substrate and back to the surface following a protocol similar to that of Bilton et al. (2006) and Bird et al. (2013). Sweep netting effort was concentrated in submerged vegetation and around shore margins. Sampling was not quantitative, but for most waterbodies approximately 20 sweeps were performed (semi-quantitative sampling). In addition to sweep netting, the margins of each waterbody were searched visually for shore beetles and semi-aquatic taxa. A light trap, consisting of a 4x3 m white sheet hung vertically below a fluorescent mercury vapour lamp (Radiant 250 W), was deployed on all three survey trips at False Bay, adjacent to the lake shore, during the evening. Aquatic coleopteran specimens were retrieved from the light sheet by hand. All beetle specimens collected during the November 2013 and July 2014 surveys were killed using ethyl acetate vapour and preserved in 5% formalin solution. Specimens collected during January-February 2015 were preserved in 70% ethanol. To provide an environmental context for the beetle samples and baseline information for the aquatic habitats of St Lucia, basic in situ physico-chemical parameters were measured at each site. Temperature, conductivity, salinity, pH, turbidity and dissolved oxygen were recorded using a YSI 6600-V2 multi-system probe. Due to technical problems, physico-chemical measurements were not taken during November 2013.

Historical records and ad hoc collections

Records of aquatic previously collected from Lake St Lucia and the fresh waterbodies in its immediate vicinity were obtained from the , Cape Town), the , Pretoria; formerly the ) and the , Pretoria). Other data on aquatic beetle species collected historically in the St Lucia area were extracted from the works of Biström and Nilsson (2002), Biström et al. (2015), Day et al. (1954), Millard and Broekhuysen (1970) and Vrdoljak (2004). Some specimens were also obtained during opportunistic collections undertaken by the authors during 2008 and 2012. With the exception of species in Biström and Nilsson (2002) and Biström et al. (2015), specimens have not been examined by hydradephagan specialists, meaning that identifications of historical material may be inaccurate in some cases. Apart from species which do not occur in southern Africa (see below), these records are presented here for the sake of completeness, but should be viewed with caution. Iziko South African Mu Ditsong South African National Collection of Insects

Identification and illustrations

All identifications were conducted by DTB, using a wide range of literature and, in many cases, comparison with named museum material. All identifications were based, at least in part, on the study of male genitalia, unless otherwise stated. Digital photographs of both ventral and dorsal habitus of each species were taken using a Canon Powershot G11 or a Canon EOS 600D digital camera fitted with a Sigma 50mm f/2.8 EX DG macro lens for larger specimens (≥ 1.5 cm) and a Nikon SMZ25 microscope for smaller specimens (< 1.5 cm). Image stacks were produced by hand, and combined using Zerene Stacker software (www.zerenesystems.com). Photographs were then compiled into an annotated and illustrated species list of all identified within the November 2013, July 2014 and January/February 2015 surveys, as well as those collected from 2008 and 2012 during ad hoc collections (Appendix 1).

Statistical analysis

Median and range values for each of the physico-chemical variables were calculated for each survey. The measured physico-chemical variables were then explored using multivariate analyses to assess how the physico-chemistry of freshwater wetlands at St Lucia varies amongst waterbody types and also spatially across the coastal plain. was used to depict patterns in physico-chemistry on a two-dimensional plot. Variables with non-normal distributions were log-transformed where appropriate. Conductivity was not depicted in the PCA plot as it was highly collinear with salinity (r = 0.996) and thus we regarded conductivity as a redundant variable. Principal Component Analysis Spatial patterns in the composition of aquatic beetle communities amongst the wetlands at St Lucia were analysed using multivariate techniques. Beetle presence-absence data were converted to a Bray-Curtis dissimilarity matrix and depicted on a two-dimensional plot using non-metric . Permutational PageBreakMANOVA (PERMANOVA, Anderson 2001) was used to test for differences in beetle assemblage composition amongst the different regions of St Lucia (eastern shores, western shores and False Bay) and amongst different waterbody types (excluding seeps and flats, for which only one site each was sampled), once again using a Bray-Curtis dissimilarity matrix. Species richness (number of species recorded per waterbody) was similarly compared amongst regions and waterbody types, but in this case, given the univariate data, the Kruskal-Wallis non-parametric ANOVA approach was used. multidimensional scaling All tests were performed using an a priori significance level of α = 0.05. PCA and MDS were performed using PRIMER v6 software (Clarke and Warwick 2001, Clarke and Gorley 2006). Permutational MANOVA was performed using the PERMANOVA routine in the PERMANOVA+ add-on package (Anderson et al. 2008) to PRIMER v6. P-values for PERMANOVA models were tested using 9999 unrestricted permutations of the raw data. Univariate techniques for species richness analyses were implemented using Statistica 12 software for Windows (Statsoft Inc. 2015).

Results

Physico-chemical characteristics of St Lucia waterbodies

Waterbodies encountered on the St Lucia coastal plain were mostly groundwater-fed depressions and valley bottom wetlands. These freshwater wetlands appeared to be abundant in the study area. True rivers (flow contained within a single main channel) were less common, but several small rivers were encountered and sampled (e.g. Nkazana Stream, site 20). Most waterbodies were small (generally < 2 ha) and shallow (<1 m maximum depth), although some of the valley bottom wetland sites formed part of larger systems (e.g. site 19 forms part of the Mfabeni mire). Due to a general predominance of lentic or slow-flowing systems, rocky biotopes were virtually absent and sites were extensively vegetated by a mix of emergent and submerged macrophytes, which formed the primary structural habitat for all sites sampled. Surface water temperatures were warm and in summer the median recorded water temperature was as high as ~29 °C (Table 2). Sites were generally fresh with median conductivity and salinity values all below 1 mS.cm-1 and 0.5 PSU respectively (Table 2). The exception to this was for sites with a direct connection to the estuarine lake (see Table 1), which, not surprisingly, displayed elevated salinity. Median pH values (Table 2), were close to neutral, but there was substantial variation around the medians and sites ranged from alkaline (e.g. sites 1, 25 and 30) to highly acidic (e.g. sites 4 and 7). Turbidity was extremely variable across sites, waterbodies ranging from very clear (< 10 NTU, e.g. sites 7 and 14) to highly turbid (> 1000 NTU, e.g. sites 10 and 26). Median turbidity values suggest, however, that most sites were moderately turbid (75.8 and 30.2 NTU for the winter and summer sampling expeditions respectively, Table 2). Dissolved oxygen levels were elevated in summer compared to winter (median values of 7.14 and 4.53 mg.L-1 respectively, Table 2).
Table 2.

Physico-chemical variables recorded during the July 2014 and January/February 2015 surveys. Median, minimum and maximum values are reported for each survey. Physico-chemical data were not collected in November 2013. Depth was not recorded in July 2014. Site 31 is not reported as this was a terrestrial light trapping location.

Survey dateSiteTemperature (°C)Conductivity (mS.cm-1)Salinity (PSU)pHTurbidity (NTU)Dissolved O2 (mg.L-1)Depth (m)
July 2014116.590.2540.148.6116.44.72-
216.080.4710.296.81883.65.15-
316.500.6010.356.58194.81.81-
417.080.1530.094.60570.51.40-
517.036.7264.426.5640.22.45-
619.070.4370.247.07831.31.61-
722.810.5040.255.2275.83.58-
821.650.4750.247.00529.18.50-
921.020.4890.267.23183.27.88-
1019.170.9430.537.331220.27.83-
1116.980.1040.055.9715.03.20-
1222.620.2210.106.4636.710.05-
1323.020.3440.166.5211.28.08-
1421.960.2400.116.603.24.53-
1519.380.2140.105.4447.02.99-
Median19.170.4370.246.5875.84.53-
Minimum16.080.1040.054.603.21.40-
Maximum23.026.7264.428.611220.210.05-
January / February 2015124.020.3780.186.629.61.000.34
634.371.0340.505.0630.210.230.31
732.930.9230.453.886.17.520.43
1322.470.5920.285.69197.64.390.38
1435.610.3420.166.8929.49.920.27
1631.872.5511.297.576133.580.24
1724.571.8660.954.2221.84.230.31
January / February 20151834.230.2370.117.32191.27.420.26
1937.780.3920.185.4918.97.250.25
2024.330.4110.205.9634.81.270.37
2133.280.1800.086.77352.37.260.20
2234.730.8270.404.8225.68.130.50
2334.660.4140.195.9636.68.760.30
2425.849.7525.487.6525.84.320.70
2529.031.7030.858.2817.48.952.00
2626.090.3230.157.211310.51.500.08
2722.030.5980.297.421511.820.70
2828.6920.15011.977.9830.69.820.15
2926.731.4960.756.90306.35.530.25
3022.0346.64030.318.5114.27.140.12
3230.030.7100.357.5514.66.980.05
Median29.030.7100.356.8930.27.140.30
Minimum22.030.1800.083.886.11.000.05
Maximum37.7846.64030.318.511310.510.232.00
Physico-chemical variables recorded during the July 2014 and January/February 2015 surveys. Median, minimum and maximum values are reported for each survey. Physico-chemical data were not collected in November 2013. Depth was not recorded in July 2014. Site 31 is not reported as this was a terrestrial light trapping location. The PCA plot (Fig. 3) offers a two-dimensional depiction of the relative positioning of sites according to their physico-chemical characteristics. The waterbodies sampled varied substantially in their overall physico-chemistry, spanning clear gradients of turbidity, temperature and dissolved oxygen, but less so for salinity, with most of the sites being fresh. There was some separation of sites according to season of sampling, with sites sampled in July 2014 (coded ‘B’ in Fig. 3) generally occurring to the left of the plot and sites sampled in January/February 2015 (coded ‘C’ in Fig. 3) generally occurring towards the right. Waterbodies across the three regions sampled (eastern shores, western shores and False Bay, see Table 1) showed some differentiaPageBreaktion (Fig. 3), with most False Bay sites falling towards the left of the plot, although the overall pattern of differentiation was weaker and there is considerable overlap in physico-chemistry between some individual sites (e.g. sites 7 and 15).
Figure 3.

of physico-chemical variables. Sites are shown according to region and site numbers coded as B (July 2014) or C (January/February 2015). Physico-chemical data were not collected during the first survey (November 2013). The first two principal component axes are displayed, with PC1 and PC2 explaining 34.7 and 28.2% of the variation in the physico-chemical data, respectively. Table 2 provides the units in which each of the variables was measured.

Principal components analysis

of physico-chemical variables. Sites are shown according to region and site numbers coded as B (July 2014) or C (January/February 2015). Physico-chemical data were not collected during the first survey (November 2013). The first two principal component axes are displayed, with PC1 and PC2 explaining 34.7 and 28.2% of the variation in the physico-chemical data, respectively. Table 2 provides the units in which each of the variables was measured. Principal components analysis

Aquatic beetles

Appendix 1 provides an illustrated checklist of the hydradephagan beetle taxa collected at St Lucia during the course of this study. Sixty-eight taxa were identified across the three sampling occasions (Table 3). Of these, 67 taxa were identified to species level, and one ( sp., represented only by females) to genus. Of the beetles identified during our surveys, two belonged to the , two to the , 12 to the and 52 to the . Thus dytiscids overwhelmingly dominated the hydradephagan species richness at St Lucia, as they do worldwide.
Table 3.

Hydradephagan beetles collected from St Lucia during the course of this study. The sites are listed from which each taxon was collected on each of the three sampling trips. Site numbers 1–32 correspond to those listed in Table 1. The regions where each taxon occurred are also indicated: WS; ES; FB. Species new to South Africa are shown in bold type.

– western shores

– eastern shores

– False Bay

Sampling dateRegion
November 2013July 2014January/February 2015 WS ES FB
Gyrinidae:
Gyrinus natalensis Régimbart, 18924X
Dineutus subspinosus (Klug, 1834)21, 23, 29XX
Haliplidae:
Haliplus natalensis Wehncke, 188027X
Peltodytes sp.6, 27XX
Noteridae:
Canthydrus apicicornis Régimbart, 18957, 8, 136, 7, 13, 14, 17, 18, 22, 25XX
Canthydrus marshalli Balfour-Browne, 19396X
Canthydrus notula (Erichson, 1843)6, 7, 8, 9, 10, 14, 156, 7, 14, 16, 17, 21, 22, 23, 27, 29XXX
Canthydrus quadrivittatus (Boheman, 1848)131, 6, 13, 14, 16, 17, 18, 22, 23, 27XXX
Canthydrus sedilloti Régimbart, 18951, 6, 13, 14, 16, 17, 22, 23XX
Hydrocanthus grandis (Laporte, 1835) 14X
Hydrocanthus micans Wehncke, 18831, 6, 14, 17, 22, 23, 29XXX
Hydrocanthus ferruginicollis Régimbart, 189527X
Synchortus imbricatus (Klug, 1853)1, 7, 16, 17, 25,XX
Synchortus desaegeri Gschwendtner, 1935 23X
Neohydrocoptus aethiopicus (Balfour-Browne, 1961)21, 7, 20, 23, 27XXX
Neohydrocoptus angolensis (Peschet, 1925)1, 2, 31, 6, 14, 25, 27XXX
Dytiscidae:
+Copelatus cf. ejactus Omer-Cooper, 196517, 18, 22, 26, 29XXX
Copelatus erichsoni Guérin-Méneville, 184917, 20, 26, 27, 29XXX
Copelatus pulchellus (Klug, 1834)17, 26, 29XX
Cybister gschwendtneri Guignot, 193527, 3114, 27XX
Cybister marginicollis Boheman, 184827, 31117, 14, 18, 22, 27, 31XXX
Cybister natalensis (Wehncke, 1876)29X
Cybister senegalensis Aubé. 18386, 27XX
Cybister tripunctatus africanus Laporte, 183514, 21, 27, 29, 31XX
Cybister bimaculatus Aubé, 183821X
Cybister ertli Zimmermann, 1917 1314X
Cybister vicinus Zimmermann, 191721, 23, 27, 29, 31XX
Cybister vulneratus Klug, 18343046, 14, 16, 17, 18, 19, 23, 27, 29, 31XXX
Rhantaticus congestus (Klug, 1833) 2721, 22, 23, 27, 29, 31XX
Eretes sticticus (Linnaeus, 1767)21X
Hydaticus bivittatus Laporte, 183527X
Hydaticus exclamationis Aubé, 183827, 29X
Hydaticus flavolineatus Boheman, 184827X
+Hydaticus cf. natalensis Guignot, 195127X
Hydaticus matruelis Clark, 186427X
Hydaticus servillianus Aubé, 183827, 306, 1114, 23, 26, 27, 29XXX
Bidessus sharpi Régimbart, 18956, 14, 16, 21, 27, 29XXX
Clypeodytes meridionalis Régimbart, 1895314, 20XX
Hydroglyphus farquharensis (Scott, 1912)6, 14, 16, 17, 18, 21, 22, 27, 28, 29, 31XXX
Hydroglyphus lineolatus (Boheman, 1848)21, 31XX
Hydroglyphus zanz ibarensis (Régimbart, 1906)2, 3, 106, 13, 14, 16, 17, 21, 22, 29, 32XXX
Leiodytes hieroglyphicus (Régimbart, 1894)7, 17XX
Pseuduvarus viticollis (Boheman, 1848)32X
Uvarus gschwendtneri (Guignot, 1942)6, 17, 18, 22, 23, 27, 29XXX
Hydrovatus acuminatus Motschulsky, 18591, 6, 13, 14, 16, 22, 23, 25, 27, 29XXX
Hydrovatus cribratus Sharp, 18826, 7, 14, 16XX
Hydrovatus dentatus Bilardo & Rocchi, 199014, 17, 21XX
Hydrovatus eximius Biström, 1997 29X
Hydrovatus nefandus Omer-Cooper, 195723, 27XX
Hydrovatus nigricans Sharp, 188222, 23X
Hydrovatus oblongipennis Régimbart, 18951523X
Hydrovatus obsoletus Peschet, 192223X
Hydrovatus villiersi Guignot, 195514X
Hydrovatus visendus Biström, 1997 6, 18X
Herophydrus guineensis (Aubé, 1838)6, 7, 14, 16, 21, 27, 29XXX
Herophydrus inquinatus (Boheman, 1848)2727, 29X
+Herophydrus nigrescens Biström & Nilsson, 20026, 25, 27XXX
Herophydrus nodieri (Régimbart, 1895)276, 11, 126, 7, 13, 14, 22, 23, 25, 27, 29XXX
Heterhydrus senegalensis (Laporte, 1835)6, 14, 22, 23XX
Hyphydrus caffer Boheman, 184814, 25X
Hyphydrus cycloides Régimbart, 188914, 18, 22, 23, 29XXX
Hyphydrus signatus Sharp, 1882276, 27, 29XX
Methles cribratellus (Fairmaire, 1880)151, 6, 7, 13, 16, 17, 18, 22, 23, 27, 31XXX
Derovatellus cf. natalensis Omer-Cooper, 196527, 3016, 17, 19, 22, 23, 27, 29XXX
Laccophilus canthydroides Omer-Cooper, 195717, 22, 23, 29XXX
Laccophilus cryptos Biström, Nilsson & Bergsten, 2015214, 21, 22, 23, 27, 29XXX
Laccophilus contiro Guignot, 19526, 14, 22, 23, 27, 31XXX
Laccophilus simplicistriatus Gschwendtner, 19327, 277, 1521, 23, 26, 27, 29, 31XXX

+ Taxa known only from South Africa.

Hydradephagan beetles collected from St Lucia during the course of this study. The sites are listed from which each taxon was collected on each of the three sampling trips. Site numbers 1–32 correspond to those listed in Table 1. The regions where each taxon occurred are also indicated: WS; ES; FB. Species new to South Africa are shown in bold type. – western shores – eastern shores – False Bay + Taxa known only from South Africa. Hydradephagan taxa reported at Lake St Lucia and its immediate surrounds prior to our surveys are listed in Table 4. Of these, some were only identified to genus level. Fifteen of the taxa identified to species in previous studies were also recorded in our surveys. Only three unpublished museum records could be found from extensive searches across the collections of South Africa’s museums. Of these, Laporte, 1835 was recorded in the current study (Table 3). Four hydradephagan species were collected by the current authors during ad hoc collections made in 2008 and 2012 (Table 4), of which (Wehncke, 1876), Aubé, 1838 and (Klug, 1833) were all recorded during 2013–2015 (Table 3). Sharp, 1882, reported from St Lucia by Day et al. (1954) and Millard and Broekhuysen (1970) is excluded here since Biström et al. (2015) demonstrate that this species is almost certainly restricted to Madagascar, mainland African records representing other, similar species. Similarly (Régimbart, 1895), reported by the same authors, is excluded from Table 4 as this species is apparently also a Madagascan endemic. It seems more likely that the record refers to (Boheman, 1848), widely reported in southern Africa (Guignot 1961, Omer-Cooper 1966).
Table 4.

Hydradephagan beetles previously recorded from the Lake St Lucia system and surrounding waterbodies. Literature sources indicated by letters as follows: (a) Day et al. (1954); (b) Millard and Broekhuysen (1970); (c) Vrdoljak (2004); (d) Biström and Nilsson (2002); (e) Biström et al. (2015). FWS; FWW; LT, Mission Rock. Also included here are records based on museum material and ad hoc collections undertaken by the authors in 2008 and 2012 (deposited at and listed as UKZN). SANC; ISAM; TMSA; UKZN; SL (lake body and immediate surrounds); KB; DF; DP (site 29 in the current study).

– fresh water streams feeding into South Lake

– fresh water wetlands on the eastern shores of Lake St Lucia

– at light

– South African National Collection of Insects

– Iziko South African

– Ditsong

– University of KwaZulu-Natal

– St Lucia

– Kosi Bay

– Dukuduku forest

– Dukandlovu Pan

FamilyGenusSpeciesPublicationYears recordedLocation
Gyrinidae Dineutus Dineutus subspinosus*(c)2002/2003 FWW
Gyrinus Gyrinus natalensis*(c)2002/2003 FWW
Noteridae Canthydrus Canthydrus notula*(c)2002/2003 FWW
Canthydrus spp. 1–4(c)2002/2003 FWW
Hydrocanthus Hydrocanthus ferruginicollis*(a), (b)1964/1965 FWS
Hydrocanthus funebris Fairmaire, 1869(c)2002/2003 FWW
Hydrocanthus spp. 1–2(c)2002/2003 FWW
Hydrocoptus Hydrocoptus spp. 1–2(c)2002/2003 FWW
Synchortus Synchortus spp. 1–2(c)2002/2003 FWW
Dytiscidae Rhantus Rhantus sp.(c)2002/2003 FWW
Copelatus Copelatus sylvaticus Guignot, 1952(c)2002/2003 FWW
Cybister Cybister guignoti Gschwendtner, 1936(c)2002/2003 FWW
Cybister marginicollis*(c)2002/2003 FWW
Cybister natalensis* UKZN 2012 FB, DP
Cybister vulneratus*(c)2002/2003 FWW
Cybister sp.(c)2002/2003 FWW
Aethionectes Aethionectes sp.(c)2002/2003 FWW
Rhantaticus Rhantaticus congestus*(c)2002/2003 FWW
UKZN 2012 DP
Hydaticus Hydaticus bivittatus* SANC Not specified SL
Hydaticus servillanus* UKZN 2012 FB
Hydaticus sp. ISAM 1988 KB
Pseuduvarus Pseuduvarus viticollis*(c)2002/2003 FWW
Hydrovatus Hydrovatus madagascariensis Régimbart, 1903 TMSA 1956 DF
Herophydrus Herophydrus nigrescens*(d)1975 LT
Herophydrus spp. 1–3(c)2002/2003 FWW
Hydrovatus spp. 1–2(c)2002/2003 FWW
Hyphydrus Hyphydrus cycloides*(c)2002/2003 FWW
Hydrocanthus grandis Laporte, 1835(c)2002/2003 FWW
Hydrocanthus maculatus Babington, 1841(c)2002/2003 FWW
Hyphydrus signatus*(a), (b)1964/1965 FWS
Methles Methles sp.(c)2002/2003 FWW
Derovatellus Derovatellus spp. 1–2(c)2002/2003 FWW
Laccophilus Laccophilus australis Biström, Nilsson & Bergsten, 2015(e)1975 LT
Laccophilus cryptos*(e)1975 LT
Laccophilus secundus Régimbart, 1895(e)??
Laccophilus spp. 1–5(c)2002/2003 FWW

* Also recorded during the dedicated surveys of 2013–2015.

Hydradephagan beetles previously recorded from the Lake St Lucia system and surrounding waterbodies. Literature sources indicated by letters as follows: (a) Day et al. (1954); (b) Millard and Broekhuysen (1970); (c) Vrdoljak (2004); (d) Biström and Nilsson (2002); (e) Biström et al. (2015). FWS; FWW; LT, Mission Rock. Also included here are records based on museum material and ad hoc collections undertaken by the authors in 2008 and 2012 (deposited at and listed as UKZN). SANC; ISAM; TMSA; UKZN; SL (lake body and immediate surrounds); KB; DF; DP (site 29 in the current study). – fresh water streams feeding into South Lake – fresh water wetlands on the eastern shores of Lake St Lucia – at light – South African National Collection of Insects – Iziko South African – Ditsong – University of KwaZulu-Natal – St Lucia – Kosi Bay – Dukuduku forest – Dukandlovu Pan * Also recorded during the dedicated surveys of 2013–2015. Aquatic beetle assemblage composition of the sites sampled during 2013-2015 differed across both regions and waterbody types (Fig. 4); PERMANOVA tests reveal that these differences were significant (Table 5). In terms of the regions sampled, there appears to be overlap in the MDS plot between the western and eastern shores sites, whilst the False Bay sites appear to be more strongly differentiated (Fig. 4a). This is confirmed by the post hoc pairwise comparisons in Table 5a, which demonstrate that the overall significance was driven by differences between False Bay and the other regions. In terms of waterbody type, the different waterbodies formed quite distinct clusters in the MDS, with the exception of valley bottoms, which were scattered widely across the plot (Fig. 4b). The overall significant difference (P < 0.05) between waterbody types is confirmed by the PERMANOVA results in Table 5b, which show that this result is driven by differences between depression wetlands and estuarine lake shores/rivers.
Figure 4.

plot depicting the similarity of sites sampled in this study in terms of beetle assemblage composition. Symbols on the plot have been coded in terms of a region and b waterbody type. Convex hulls (dashed lines) have been overlaid on each plot to clarify groupings according to region/waterbody type.

Multidimensional scaling

Table 5.

Non-parametric permutational MANOVA (PERMANOVA) results for models comparing beetle assemblage composition. Assemblage composition at St Lucia was compared across (a) regions, and (b) waterbody types. The multivariate models tested for differences between group centroids in Bray-Curtis dissimilarity space. WS; FB; ES; Dep.; ELS; VB.

– western shores

– False Bay

– eastern shores

– depression wetland

– estuarine lake shore

– valley bottom

(a) Post hoc pairwise comparisons
SourcedfSSMSFPGroupstP
Region2120876043.71.61190.0311* WS, FB1.69320.0014*
Residual351312303749.4 WS, ES0.79680.8007
Total37143320 FB, ES1.28820.0471*
(b) Post hoc pairwise comparisons
Source df SS MS F P Groups t P
Waterbody type3168045601.41.51740.0277* Dep., ELS1.36350.0368*
Residual321181303691.6 Dep., River1.44800.0205*
Total35134930 Dep., VB1.11850.2522
ELS, River1.32390.0973
ELS, VB0.71620.9276
River, VB1.12090.1860

* Significant P values at α = 0.05.

plot depicting the similarity of sites sampled in this study in terms of beetle assemblage composition. Symbols on the plot have been coded in terms of a region and b waterbody type. Convex hulls (dashed lines) have been overlaid on each plot to clarify groupings according to region/waterbody type. Multidimensional scaling Non-parametric permutational MANOVA (PERMANOVA) results for models comparing beetle assemblage composition. Assemblage composition at St Lucia was compared across (a) regions, and (b) waterbody types. The multivariate models tested for differences between group centroids in Bray-Curtis dissimilarity space. WS; FB; ES; Dep.; ELS; VB. – western shores – False Bay – eastern shores depression wetland estuarine lake shore – valley bottom * Significant P values at α = 0.05. Non-parametric Kruskal-Wallis tests indicate that species richness did not vary significantly between regions (KW-H2, 38 = 1.0025, p = 0.6058) or waterbody types (KW-H5, 38 = 2.273, p = 0.8102) at St Lucia. Mean richness across all sites and sampling trips was 8.5±9.3 (±SD) taxa per site, the very high standard deviation indicating that the number of taxa recorded per site was extremely variable. The highest recorded richPageBreakness for an individual site visit was 35 taxa, collected from site 27 (Mpophomeni pan) at False Bay in January/February 2015. Sites 14 (eastern shores), 23 (eastern shores) and 29 (Dukandlovu Pan, False Bay) all yielded more than 25 taxa during January/February 2015. Yet only a single taxon was recorded from site 7 (eastern shores) in November 2013, sites 1 (western shores), 9 (western shores), 12 (eastern shores) and 14 (eastern shores) in July 2014 and site 28 (False Bay) in January/February 2015 (Fig. 5).
Figure 5.

Box-plots comparing the median and spread of species richness (number of hydradephagan taxa per site) among a regions and b waterbody types at St Lucia during the sampling period 2013–2015. The data representing number of taxa per site are also reported (c). Site numbers in (c) are coded as A (first survey – November 2013), B (second survey – July 2014) or C (third survey – January/February 2015). Kruskal-Wallis tests indicated that species richness did not vary significantly among regions (KW-H2, 38 = 1.0025, p = 0.6058) or waterbody types (KW-H5, 38 = 2.273, p = 0.8102).

Box-plots comparing the median and spread of species richness (number of hydradephagan taxa per site) among a regions and b waterbody types at St Lucia during the sampling period 2013–2015. The data representing number of taxa per site are also reported (c). Site numbers in (c) are coded as A (first survey – November 2013), B (second survey – July 2014) or C (third survey – January/February 2015). Kruskal-Wallis tests indicated that species richness did not vary significantly among regions (KW-H2, 38 = 1.0025, p = 0.6058) or waterbody types (KW-H5, 38 = 2.273, p = 0.8102).

Discussion

This study reveals that the St Lucia lake system and its associated wetlands support at least 68 species of . It is currently estimated that ca. 410 species of occur in southern Africa as a whole (Stals and de Moor 2007), meaning that almost 20% of the known fauna of this biodiverse region occur in the wetlands of the St Lucia system. The species richness observed at St Lucia is comparable with that recorded in a number of tropical locations worldwide. For example, Bilardo and Rocchi (2011) obtained 51 hydradephagan species in the Monts de Cristal National Park, Gabon, during sampling conducted between 2006 and 2010. Similarly, Apenborn (2013) reported the collection of 122 species of aquatic beetles, representing 10 different families, during an eight-week survey of the Peruvian Amazon near the Panguana Biological Field Station (Hendrich et al. 2015). Of these, around 80 belonged to the . Lentic sites in northern temperate regions such as the Western Palaearctic can also supPageBreakPageBreakport relatively diverse hydradephagan assemblages. Foster (1993) summarises records from lithalsa fen complexes in Norfolk, UK, with 65 species being recorded across four sites. Bameul (1994) reported 50 species from the Marais de la Perge, a 3280 ha lithalsa complex close to Bordeaux, France, now decimated by invasive crayfish. Similarly, a total of 29 hydradephagan species were reported from the Lonjsko Polje Nature Park in Croatia (Temunović et al. 2007) and 31 in the Villafáfila shallow lakes of the NW Iberian Meseta, Spain (Régil and Garrido 1993). Five species of found during our surveys are apparently new to the fauna of South Africa (Table 3). These are all relatively widespread Afrotropical species, but include the large Zimmermann, 1917. Whilst has been recorded from Swaziland in the past, this species has not previously been reported from South Africa. It is possible that specimens have been confounded with other large black however, as these beetles are not easy to identify without reference to the male genitalia. It is highly likely that the found during our surveys is currently undescribed. This does not match any of the known African species in external morphology (van Vondel 2010, D. T. Bilton, pers. obs.), but cannot be either positively identified or described at present, in the absence of males. The hydradephagan fauna of Lake St Lucia is dominated by relatively widespread Afrotropical taxa (see distribution records in Appendix 1), with very few species with restricted distributions, a pattern also seen in other aquatic taxa such as gastropods (Perissinotto et al. 2014) and odonates (Hart et al. 2014). Three of the species recorded in these surveys are currently thought to be endemic to South Africa (Table 3), with only two, Biström & Nilsson, 2002 and Guignot, 1951 apparently endemic to KwaZulu-Natal. This dominance of the diverse St Lucia fauna by widespread species fits well into the general principle that hotspots of endemism and species richness are often not coincident (e.g. Stals and de Moor 2007). In many insect taxa, the north-east of South Africa supports relatively high species richness, whilst endemism is instead generally concentrated towards the south-western part of the country, particularly in the Western Cape (Lombard 1995, Bilton 2014b, Bilton et al. 2015). In Table Mountain National Park, for example, a species-rich wetland would typically contain ca. 15–20 species of (cf. up to 35 at St Lucia). In stark contrast to the fauna of St Lucia, however, around 50% of the species found in a typical Cape Peninsula wetland are endemic to the fynbos biome (D. T. Bilton, pers. obs.; Pryke and Samways 2009). Only three species ( Klug, 1834, Aubé, 1838 and Omer-Cooper, 1965) were found in the margins of Lake St Lucia itself, the overwhelming majority of species being associated with small wetlands in the park. False Bay sites supported relatively distinctive beetle assemblages, including species which were not recorded elsewhere, whereas the faunas of the eastern and western shores largely overlapped (Fig. 4 and Table 5). False Bay is considerably more arid than the other two areas and its landscape is dominated by dense dry woodland, in contrast to the moist grassland plains with pockets of dune forest characteristic of the eastern and western shores (Perissinotto et al. 2013). Sites at False Bay were typically heavily shaded PageBreakby shrub encroachment, whilst those on the eastern and western shores were generally more open and sunlit. Thus the contrasting riparian and terrestrial environments across these broad regions at St Lucia offers a potential explanation for the differentiation of aquatic assemblages in the wetlands of the three areas. This is reflected to some extent in the PCA of physico-chemistry (Fig. 3). Whilst sites from both eastern and western shores are scattered across the plot, the False Bay localities are largely concentrated towards the left, reflecting their relatively low water temperatures. Although hydradephagan assemblage composition varied significantly between different areas of St Lucia, species richness did not. Similarly, richness did not differ significantly between the different types of waterbodies sampled. Although there was no significant difference in richness among the waterbody types, the sites with the very highest richness were mostly temporary depression wetlands; a pattern which contrasts markedly with other taxa such as molluscs and dragonflies which are most diverse in permanent waters. With the exception of site 29 (a channelled valley bottom wetland) all sites that yielded 20 or more taxa from a single visit were such depression wetlands (sites 6, 14, 22, 23 and 27), highlighting the importance of this habitat for aquatic conservation in the region for the first time. Due to unprecedented drought conditions in the region and past anthropogenic activities, there have been significant changes in the St Lucia system in recent decades. The estuary mouth closed in 2002 and large-scale desiccation of the lake basins began in 2004 (Perissinotto et al. 2013). At the peak of these events, over 80% of the lake bottom sediments became exposed to the air and hypersaline conditions dominated the lake system, except in the Narrows and at the mouth. Alternation of dry and wet cycles are not new to this estuary, as can be seen for instance in historic records showing the regular occurrence of 4–10 year cycles of either droughts or anomalous wet conditions since at least the early 1900s. Projections of climate change for the next 50-100 years indicate that this situation will persist and possibly intensify, with the most likely scenario being an alternation of extreme droughts followed by floods (Mather et al. 2013). Predaceous water beetle biodiversity at St Lucia is concentrated in small waterbodies, rather than the main lake system, and the consequences of such changes remain unclear, and may depend on the degree to which changes in the lake system cascade through the wider wetland complex. Drought-induced hypersaline conditions and low water levels (including low groundwater levels) are likely to impact wetlands across the region and the main Lake St Lucia itself, and possible impacts on these wetlands should clearly be considered within wider conservation/management plans.

Conclusions

The St Lucia system, whilst being dominated by relatively widespread Afrotropical water beetles, supports what appears to be one of the most diverse assemblages of reported in southern Africa. In line with the high species richness and diPageBreakversity in other groups investigated to date (e.g. odonates, bivalves, gastropods, crabs), the results of the current study further reinforce the biodiversity importance of the iSimangaliso Wetland Park. Much remains to be investigated, particularly with regard to the environmental factors that support this exceptional biodiversity, and how these may be impacted by climatic and other anthropogenic changes in the future.
  6 in total

1.  Sequence alignment of 18S ribosomal RNA and the basal relationships of Adephagan beetles: evidence for monophyly of aquatic families and the placement of Trachypachidae.

Authors:  V L Shull; A P Vogler; M D Baker; D R Maddison; P M Hammond
Journal:  Syst Biol       Date:  2001 Nov-Dec       Impact factor: 15.683

2.  Two new water beetles from the Hantamsberg, an inselberg in the Northern Cape of South Africa (Coleoptera, Hydraenidae).

Authors:  David T Bilton
Journal:  Zootaxa       Date:  2014-11-26       Impact factor: 1.091

3.  Taxonomic revision of Afrotropical Laccophilus Leach, 1815 (Coleoptera, Dytiscidae).

Authors:  Olof Biström; Anders N Nilsson; Johannes Bergsten
Journal:  Zookeys       Date:  2015-12-07       Impact factor: 1.546

4.  Biodiversity census of Lake St Lucia, iSimangaliso Wetland Park (South Africa): Gastropod molluscs.

Authors:  Renzo Perissinotto; Nelson A F Miranda; Jacqueline L Raw; Nasreen Peer
Journal:  Zookeys       Date:  2014-09-15       Impact factor: 1.546

5.  A new species of Agaporomorphus Zimmermann, 1921 from Peru (Coleoptera, Dytiscidae, Copelatinae).

Authors:  Lars Hendrich; Rico Apenborn; Ernst-Gerhard Burmeister; Michael Balke
Journal:  Zookeys       Date:  2015-07-06       Impact factor: 1.546

6.  Species composition, distribution and habitat types of Odonata in the iSimangaliso Wetland Park, KwaZulu-Natal, South Africa and the associated conservation implications.

Authors:  Lorinda A Hart; Meyrick B Bowker; Warwick Tarboton; Colleen T Downs
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

  6 in total
  3 in total

1.  Taxonomic revision of the genus Copelatus of Madagascar (Coleoptera, Dytiscidae, Copelatinae): the non- erichsonii group species.

Authors:  Tolotra Ranarilalatiana; Lala Harivelo Raveloson Ravaomanarivo; Johannes Bergsten
Journal:  Zookeys       Date:  2019-08-05       Impact factor: 1.546

2.  Diversity and distribution of polyphagan water beetles (Coleoptera) in the Lake St Lucia system, South Africa.

Authors:  Matthew S Bird; David T Bilton; Renzo Perissinotto
Journal:  Zookeys       Date:  2017-02-14       Impact factor: 1.546

3.  Effect of changes in the fractal structure of a littoral zone in the course of lake succession on the abundance, body size sequence and biomass of beetles.

Authors:  Joanna Pakulnicka; Andrzej Zawal
Journal:  PeerJ       Date:  2018-09-26       Impact factor: 2.984

  3 in total

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