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Article

Diversity and Endemism of Southern African Gekkonids Linked with the Escarpment Has Implications for Conservation Priorities

Zoology & Entomology Molecular Laboratory (ZEML), Department of Zoology & Entomology, Rhodes University, Makhanda 6139, South Africa
*
Author to whom correspondence should be addressed.
Diversity 2023, 15(2), 306; https://doi.org/10.3390/d15020306
Submission received: 30 January 2023 / Revised: 16 February 2023 / Accepted: 17 February 2023 / Published: 20 February 2023
(This article belongs to the Special Issue Montane Ecosystems and Diversity)

Abstract

:
South Africa is recognised for its high reptile diversity and endemism, specifically among lizards. Phylogenetic diversity, endemism, and richness can have clear implications or raise important questions in a range of fields, and most urgently in conservation. Among squamate reptiles, these indices are very commonly associated with high temperatures and topographic heterogeneity. Indeed, mountainous biogeography has been a critical driver in the radiation of the family Gekkonidae within the subregion. Here, we assess the species richness, diversity, and endemism of Gekkonidae species inhabiting South Africa, Lesotho, and Eswatini, accounting for phylogenetic relationships. We also employ the CANAPE method to identify regions that have neo- and/or paleoendemics. Southern African gekkonids appear to be most diverse and show high levels of endemism in three regions of Southern Africa: the northwestern Richtersveld, the escarpment running west to southeast, and the northeastern escarpment in the Limpopo province. Implications for conservation priorities are discussed.

1. Introduction

Historical climatic and geological events and phylogenetic biogeography have played essential roles in driving the large-scale distribution or isolation of organisms [1,2]. Highlighting specific regions harbouring exceptional phylogenetic diversity, endemism, and richness can have clear and fundamental conservation implications [3] or raise important questions for investigating major evolutionary and biogeographic events [4] and ecological drivers [5,6]. Squamate reptiles are a diverse group, with approximately 9850 species distributed throughout the globe [7]. Correlations of species richness and diversity among reptiles are commonly associated with high temperatures and topographic heterogeneity [8,9,10]. Squamate reptiles make excellent models for investigating the evolutionary and biogeographical drivers of species richness and diversification due to their significant range in habitat utilisation, habitat specialisation, and limited dispersal abilities [11,12].
South Africa is a megadiverse country with three global biodiversity hotspots: the Cape Floristic Region, the Maputaland-Pondoland-Albany Hotspot, and the Succulent Karoo. Regarding reptile distributions, compared to other African countries, South Africa has been relatively comprehensively sampled [13]. This area, including Lesotho and Eswatini, is also recognised for its high reptile diversity and endemism [14]. Mountainous biogeography has been a critical driver in the radiation of many reptiles within the subregion [15,16,17,18]. The complex topographic landscape has primarily been driven through two unrelated major geological events, namely the upliftment of the Great Escarpment and the Fold Mountains [19,20].

1.1. Gekkonid Diversity

The Southern African gekkonids are one of the most diverse and highly endemic groups of reptiles within the region, consisting of 86 recognised species from 12 genera (Figure 1). Of these, ~75% species and 5 genera are thought to be endemic or near-endemic to the region [14,15].
Afroedura Loveridge 1944 is a species-rich genus distributed throughout Southern Africa, extending northwards into Angola. Currently, there are 34 species [21], with several awaiting description. The genus primarily comprises rock-dwelling, montane species, except for a few arboreal species (e.g., Afroedura loveridgei and Afroedura marleyi) [14,21,22]. Three major clades are present within Afroedura, predominantly along the isolates of the Great Escarpment, with some members occupying coastal plains or the Cape Fold Mountains [15].
A monotypic genus, Afrogecko Bauer, Good & Branch, 1997, has a unique taxonomic past. Two subspecies, Phyllodactylus porphyreus cronwrighti and Phyllodactylus porphyreus namaquensis, neither of which is currently recognised [14], require further investigation due to strong genetic differences, thus making Afrogecko porphyreus a species complex [23]. There remains a strong likelihood of cryptic taxa within the Afrogecko porphyreus complex [23]. No new material on the P. p. namaquensis has been collected to confirm its status. Afrogecko porphyreus is restricted to southwestern South Africa. It is predominantly rupicolous; however, some populations occupy vegetation within the coastal plains [22].
The genus Chondrodactylus W. Peters, 1870 consists of large geckos, most of which are rupicolous, with some also displaying arboreal behaviour. Four species are present within South Africa [24], predominantly distributed inland of the Great Escarpment. A single member of the genus, Chondrodactylus angulifer, is a terrestrial burrower and has evolved accordingly [25,26].
The monotypic genus of leaf-toed geckos, Cryptactites Bauer et al., 1997 is a low-altitude coastal endemic. Its only species, Cryptactites peringueyi, is a small terrestrial and semi-arboreal gecko utilising coastal vegetation in a small range of the Eastern Cape province [27]. Its restricted range and poor phylogenetic diversity make this lineage the country’s most range-restricted gecko genus.
Another group of small leaf-toed geckos are from the genus Goggia Bauer, Good & Branch, 1997. This near-endemic group consists of 10 species restricted to southern and northwestern South Africa. The genus consists of rupicolous and often mountainous genera, except for two species, G. lineata and G. incognita, which are found in shrub or fynbos in open vegetation types [22,28].
The most species-rich genus, Hemidactylus Oken, 1817, is widely distributed throughout the globe. Despite high diversification of Hemidactylus across the Afrotropic and subtropical regions, only a single species, Hemidactylus mabouia, is found within the borders of South Africa. The species is a generalist and occupies mountainous, inland, and coastal habitats [14,22]. They are successful invaders throughout the country and on a global level [12,14]. It is predominantly rupicolous; however, as with most rupicolous species within the region, it displays arboreal behaviour, and is, additionally, well-adapted to urban environments [22].
The genus Homopholis Boulenger, 1885 consists of four large-bodied, soft-skinned species. They are widely distributed, except for Homopholis mulleri, which is restricted to the northern extent of the Soutpansberg Mountains in Limpopo, South Africa.
Within the region, Lygodactylus Gray, 1864 consists of 11 species [22]. Many species have limited ranges, with several restricted to a single massif or mountaintop [14,22]. Radiation among Lygodactylus took place in two major clades, an Afromontane (greater Drakensberg) clade and a savanna-dwelling clade (except for a single montane species, L. bernardi, from Zimbabwe) [16]. Lygodactylus capensis, a widespread species from the savanna clade, is one of the most successful invaders within the country. The species has successful colonies throughout many western cities and towns far outside its natural range [29].
The most species-rich gekkonid genus within the region is that of Pachydactylus Wiegmann, 1834, which consists of 29 species. Radiation and endemism within the group were likely driven due to substrate specialisation in many species and historical vicariant events [30]. This group displays major differences in size [31], morphology [25,32], and geographical and environmental niches among species [28].
A single species of Ptenopus Gray, 1866 occurs within South Africa, with the remaining two species restricted to Namibia. The genus is known to predominantly occupy savanna, scrubland, and desert habitats [14,22]. They are commonly known to utilise characteristic burrows, often within loose soils, from where males call [33]. Intraspecific diversity among South Africa’s only species, Ptenopus garrulus, is likely, with two subspecies currently recognised.
The genus Ramigekko Heinicke et al., 2014 consists of a single species, Ramigekko swartbergensis, which is a sizable rupicolous gekkonid restricted to the high mountain tops of the Klein and Groot Swartberg Mountains, within the Cape Fold mountain range [14,34,35,36]. The genus, which forms part of the circum-Indian Ocean leaf-toed geckos, was elevated from the now monotypic genus Afrogecko by Heinicke et al. [23]. Its closest living relative is the coastal endemic and monotypic genus, Cryptactites. The entire geographic range of the genus occurs in a predominantly inaccessible protected area, thus facing no major anthropogenic threats.
Another monotypic gecko, Rhoptropella Hewitt, 1937, a close relative of the Day Geckos—Lygodactylus, is another rupicolous genus. The small Namaqua Day Gecko—Rhoptropella ocellata, is restricted to mountain ranges in northwestern South Africa and southern Namibia [14]. This species is the only naturally-occurring diurnal gekkonid within this far-western arid region [22].
It is evident that there is exceptional diversity and endemism of gekkonids within the Southern African countries. Furthermore, with the group comprising several monotypic genera and genera with few species, it is essential that conservation measures are put in place to conserve phylogenetic diversity.
Figure 1. Representations of gekkonid genera within South Africa: (A) Simplified phylogenetic representation of the genera, constructed from the phylogeny produced in this study and from various published gekkonid phylogenies [15,37,38,39,40,41]. Numbers at the nodes indicate the Clade number (as in Figure S1). Pie charts at the tips indicate the number of species within the genus that inhabit various altitudes (green pie charts), the general habitat in which the species are found (biotopical preferences, blue pie charts), and the habitat specialisation of the species (orange pie charts). Genera that are underlined have species that enter into the urban environment. Information for the pie charts was obtained from the species accounts in the IUCN Red List (https://www.iucnredlist.org/; accessed on 17 December 2022). (B) Donut chart showing the number of species from each genus present in South Africa, Lesotho, and Eswatini. The illustration below details the biotopical preferences and altitudinal zone distinctions.
Figure 1. Representations of gekkonid genera within South Africa: (A) Simplified phylogenetic representation of the genera, constructed from the phylogeny produced in this study and from various published gekkonid phylogenies [15,37,38,39,40,41]. Numbers at the nodes indicate the Clade number (as in Figure S1). Pie charts at the tips indicate the number of species within the genus that inhabit various altitudes (green pie charts), the general habitat in which the species are found (biotopical preferences, blue pie charts), and the habitat specialisation of the species (orange pie charts). Genera that are underlined have species that enter into the urban environment. Information for the pie charts was obtained from the species accounts in the IUCN Red List (https://www.iucnredlist.org/; accessed on 17 December 2022). (B) Donut chart showing the number of species from each genus present in South Africa, Lesotho, and Eswatini. The illustration below details the biotopical preferences and altitudinal zone distinctions.
Diversity 15 00306 g001

1.2. Conservation

A comprehensive assessment [42] estimating the extinction risk of reptiles found that ~21% are threatened with extinction. Conservation measures are often implicated in areas of high diversity and species richness [43,44], or specifically implemented for species of conservation concern (e.g., the establishment of the Mountain Zebra National Park (South Africa) in 1937, to protect the Mountain Zebra). However, phylogenetic diversity is often overlooked when assessing and planning conservation networks. Protected areas are critical for mitigating further biodiversity loss [45,46]. South Africa is a global leader in science-based conservation strategies [47,48,49,50]. The protected area network covers approximately 9% of South Africa’s mainland surface area [51], and it is essential for conserving the diverse fauna and flora, maintaining livelihoods, economic development, and preserving many ecological services. Despite the sizable protected area network and protected area expansion plan [52], it is insufficient in protecting South Africa’s threatened reptiles [53]. Fortunately, despite the high endemism and restricted distribution of many South African gekkonids [14], only a few taxa are listed under a threatened category in the IUCN Red List, these being Afroedura multiporis [54] and Homopholis mulleri [55], which are listed as Near Threatened, and a single Endangered species, Lygodactylus methueni [56].

1.3. Study, Research Question, and Aims

Due to the substantial diversity, habitat specialisation, and endemism within this group, gekkonids are an ideal biological model to assess the spatial pattern of diversity and endemism associated with elevation in the region. Sampling from Southern African countries (South Africa, Lesotho, and Eswatini), the phylogenetic relationships, diversity, and endemism of the sampled gekkonid species were investigated. We aimed to (1) identify areas of significant gekkonid species richness and phylogenetic diversity, and (2) assess which areas are protected or are important to conserve gekkonid species richness and phylogenetic diversity.

2. Materials and Methods

2.1. Map Production

Data for the distribution of gekkonids within South Africa, Lesotho, and Eswatini (hereafter referred to as Southern African countries) were obtained from the literature, GBIF (https://www.gbif.org/, accessed on 17 December 2022), museum data, and citizen science platforms, such as the Animal Demography Unit’s Virtual Museum (https://vmus.adu.org.za/, accessed on 17 December 2022) and iNaturalist (https://www.inaturalist.org/, accessed on 17 December 2022). A dataset was compiled for each species and the corresponding Quarter degree Squares (QDSs) in which they occur. A single shapefile per species of the 12 genera occurring within the sub-region and their corresponding QDS in which they are found were imported into QGIS (QGIS LTR) [57]. The shapefiles of each species were given an opacity of 15, which allowed for species richness maps of each genus to be generated.
The centroid GPS points for each QDS for the Southern African countries were compiled. Surface plots of elevation and species numbers were created in RStudio v.2022.07.2 and R v.4.2.1 [58]. The elevation at each of those GPS coordinates was obtained (package: elevatr; function: get_elev_point; prj: EPSG:4326; src: aws) [59]. The GPS points that were located below sea-level were removed from the DataFrame. A surface plot was created, plotting the elevation or the number of gecko species at each GPS point for the three countries (package: plotly; functions: plot_ly, add_surface) [60].

2.2. Phylogenetic Tree Construction

A phylogenetic tree of the gekkonid species found in the Southern African countries was constructed using a concatenated dataset of nucleotide sequences obtained from GenBank (https://www.ncbi.nlm.nih.gov/, accessed on 17 December 2022; Table S1). Three partial-coding gene regions were used: (1) mitochondrial NADH dehydrogenase subunit 2 (ND2), (2) nuclear recombination-activating gene 1 (RAG1), and (3) nuclear phosducin (PDC) genes. The sequences were aligned using ClustalW within MEGA X [61]. No saturation was found using the program DAMBE v.6.4.81 [62], so each gene region was used as a separate partition in the dataset. The GTR+G+I model of nucleotide substitution was used for each gene region. The phylogenetic tree was estimated using Bayesian inference in MrBayes v.3.2.7 [63]. Two chains were run for 10 million generations, at a sampling frequency of 1000, and the trees were summarised using a 10% burn-in. The ESS values were checked in Tracer v.1.6.0. [64]; all values were above 200, and the runs reached convergence.

2.3. Diversity and Endemism Estimates

Traditional diversity estimates utilise species counts and richness estimates; however, they do not take the evolutionary history of the species into account. Thus, estimates of diversity and endemism that consider evolutionary relationships and time since divergence into account have become popular in the past few decades (phylogenetic diversity [65] and phylogenetic endemism [66]). By using a phylogenetic estimate of divergences between taxa, we can determine areas that have a diversity that is either newly originated (neoendemics have shorter branch lengths) and range-restricted, or older range-restricted groups (paleoendemics have longer branch lengths) [67]. See [68] for descriptions of each index.
Diversity estimates were mapped using the program BioDiverse v.4.0 [69]. Various blog posts and instructions can be found on the software developer’s website: https://shawnlaffan.github.io/biodiverse/. The phylogenetic tree produced in this study was exported from Figtree v.1.4.3 (http://tree.bio.ed.ac.uk/software/figtree/, accessed on 17 December 2022) in Newick format and imported into BioDiverse. The presence of each species was indicated by the QDS centroid GPS point, and the tabulated list of GPS coordinates for each species (86 species out of 91 Southern African gecko species) was imported into BioDiverse, resulting in 1504 equal-area square grid cells (250 × 250 km) covering the Southern African countries. Diversity and endemism indices were estimated: Taxonomic Richness (TR), Shannon Diversity Index (SD), Weighted Endemism (WE), and Corrected Weighted Endemism (CWE) [70]. Diversity and endemism indices, taking phylogeny into account, were estimated: phylogenetic diversity (PD) [65], phylogenetic endemism (PE) [66], relative phylogenetic diversity (RPD) [67], and relative phylogenetic endemism (RPE) [67]. Phylogenetic diversity and endemism estimates on their own are not very informative, and thus a total of 999 iterations were run using the rand_structured model, recalculating the PD, PE, RPD, and RPE surfaces for each iteration. Indices in the highest 2.5% or the lowest 2.5% of the distribution were considered significant (two-tailed test). The QDSs that had significant neoendemics, paleoendemics, or a mixture of both were identified by using the Categorical Analysis of Neo- and Paleo-Endemism (CANAPE) [67] method conducted in the BioDiverse program from the iterations run using the rand_structured model.

3. Results

3.1. Generic Distribution

The 12 gekkonid genera that inhabit the Southern African countries tend to be distributed along the coastal plains (e.g., Cryptactites, Afrogecko, and Goggia), along the escarpment (Afroedura, Goggia, and Homopholis), and more widely distributed on the interior plateau (the remaining genera) (Figure 2). Three genera (Afrogecko, Cryptactites, and Ramigekko) are monotypic, range-restricted, and endemic to the region (Figure 2), and, interestingly, they are sisters (Figure 1 and Figure S1). These three genera occur along the coastal plains and the fold mountains in the south and west of South Africa (known as the Cape Fold Mountains). The other monotypic genus, Rhoptropella, is also range-restricted although it does occur near the border of South Africa, and it enters into Namibia. There appears to be an evident east–west divide between and within the genera, with few species inhabiting the grassland biome in the central part of South Africa and the high elevation Lesotho region in the east (Figure 2 and Figure 3). QDS squares that had a centroid >2000 masl tended to have fewer than 5 species, and those at >2200 masl had either 1 or 2 species (species of Afroedura and Pachydactylus). Species richness is highest in the western and eastern extent of the Great Escarpment, with similar, yet less impressive, species richness being found across the Cape Fold Mountains in the southwest of South Africa (Figure 3). Species richness is largely derived from four speciose genera, namely Afroedura and Lygodactylus in the east, and Goggia and Pachydactylus in the west and south. However, radiation from Afroedura in the southern Great Escarpment did contribute to the diversity of this region. Less species-rich genera (Chondrodactylus, Hemidactylus, Homopholis, and Ptenopus) were found to be widely distributed, while monotypic genera (Cryptactites, Ramigekko, and Rhoptropella), with the exception of the Afrogecko species complex, had restricted ranges.

3.2. Phylogenetic Relationships between Southern African Gekkonids

Phylogenetic relationships between gekkonid species inhabiting South Africa, Lesotho, and Eswatini in this study match previously published phylogenies of lizards (e.g., [15,37,38,39,40,41]; Figure 1 and Figure S1). As with most phylogenies of gecko taxa (e.g., [41]), the deeper nodes could not be resolved, and form a polytomy. The nodes basal to the genera are resolved, making the genera monophyletic, and there are only a few unresolved relationships within the genera Pachydactylus and Afroedura. Pachydactylus and Chondrodactylus are sisters, and they are sisters to Goggia (Clade 1). Afroedura and Homopholis are sisters (Clade 2), and this clade is sister to Clade 1. Lygodactylus and Rhoptropella are sisters (Clade 3), and Clade 4 contains the monotypic, range-restricted, and endemic genera Cryptactites, Ramigekko, and Afrogecko. Hemidactylus and Ptenopus are sisters (although this relationship is not supported).

3.3. Gekkonid Diversity and Endemism

There is a high diversity of gekkonids in the northeast of South Africa (in the Limpopo province) in terms of species numbers (Figure 3), species richness (Figure 4A), traditional diversity (Figure 4B), and phylogenetic diversity (Figure 4C). This region also has a relatively high number of endemic species (Figure 5), and parts of this region have a number of QDSs that have mixed endemism, and there is a hotspot of neoendemics in the lower-elevation areas between the Soutpansberg range and the northern extent of the Drakensberg mountain range. The interior plateau has poor species richness, diversity, and phylogenetic diversity (Figure 3, Figure 4 and Figure 5), and, in fact, lower-than-expected endemism (Figure 5E,F), with no endemics (neither neo- nor paleoendemics; Figure 6) found in this region. While the eastern escarpment does not have a high species richness, diversity, or phylogenetic diversity, the region near the Amathole–Stormberg mountain range in the southeastern escarpment has a high level of mixed endemics (Figure 6). The south coast near Port Elizabeth (now called Gqeberha) exhibits high levels of diversity (Figure 4), endemism (Figure 5), and mixed endemism (Figure 6). The escarpment running along the south and west of South Africa appears to have a high diversity (Figure 4B) and relatively high levels of endemics (Figure 5A–C), with a few areas exhibiting high levels of mixed endemism. The Richtersveld in the northwest of South Africa appears to have high levels of diversity and endemism (Figure 3, Figure 4 and Figure 5). Most of the region exhibits mixed levels of endemism, and the only QDS in Southern Africa found to have paleoendemics is located within this region.

4. Discussion

Spatial gradients of species richness, diversity, and endemism in gekkonids that inhabit the Southern African countries appear largely driven by historical, geological, and ecological factors, such as topology and climate. Endemism is present predominantly among rupicolous species in heterogeneous mountainous landscapes formed through the upliftment of the Great Escarpment and the Cape Fold Mountains. The areas highlighted with high endemism and diversity are critical areas for investigating ecological drivers in macroecology. More information collected regarding our threatened geckos and areas of importance allow for thorough and decisive conservation decision making and can act towards protecting the broader ecosystems in which these organisms occur [71].

4.1. Diversity, Species Richness, and Endemism

It has long been recognised that merely using a measure of diversity by counting species numbers is not adequate to accurately ensure that evolutionarily significant species are conserved, and that the diversity of a region should be investigated taking evolutionary history into account, using, for example, a measure of phylogenetic diversity (PD) [65,72,73,74]. By incorporating species differences, not just species numbers, into conservation priorities, those species that are evolutionarily distinct are prioritised—i.e., the “quality” (i.e., taxonomic distinctiveness), not quantity, of species are conserved [74,75]. In addition, the degree of endemism of a group has been a major consideration in biogeographic studies [76,77], as endemism relates to the idea of irreplaceability [78]. Endemism has been measured initially as the restriction of a taxon to a particular region (traditional endemism), the degree of restriction of a taxon-range on a quantitative scale (relative endemism) [70], and the geographic restriction of clades at any taxonomic level (phylogenetic endemism (PE) [66,67,68].
For the most part, investigations into neo- and paleoendemism have been performed on flora assemblages; however, a global assessment of land vertebrates using the CANAPE method highlighted the squamate hotspots along the southern African escarpment (Figure 1E in [79]). These hotspots have been retrieved in the southern African gekkonid diversity analyses done in this study. In addition, the diversity pattern found in this study for gekkonids reflects that which is found for all lizards in southern Africa (Figure 3.12 in [14]), though highly endemic gekkonid species were not found in the Western Cape province, as found when investigating all southern African lizards (Figure 3.13 in [14]). Globally, elevation range as a proxy of habitat heterogeneity was the second strongest predictor of, and significantly positively correlates with, phylogenetic endemism, especially for amphibians and reptiles [79], which corroborates the understanding that elevation promotes endemism due to spatial divergence and habitat heterogeneity [80,81]. It is, therefore, perhaps not surprising that high levels of endemism in southern African gekkonids are found in association with the escarpment and the Snowberg mountain range although the hotspot of neoendemics in the lower elevation region between two mountain ranges in the Limpopo province warrants further investigation.

4.2. Conservation Considerations

A recent conservation status assessment shows that, within South African borders, there is very little protection regarding species of conservation concern, and the future of many threatened taxa is exceptionally tentative [54]. Species diversity and distribution is often relative to abiotic factors, such as topography and climate [82,83]. Changes in global temperatures, and the subsequent effects on ectothermic organisms, are predicted to be substantial [83]. The restricted distribution of the region’s geckos (and especially of the range-restricted monotypic genera), the lack of conservation efforts towards threatened reptiles, and the predicted impacts from climate change make it fundamental that we clearly understand critical biodiversity areas and gaps in our current body of knowledge.
For the most part, reptiles have generally not been considered in the greater conservation network in South Africa, and many threatened species remain unprotected [54]. Identifying critical biodiversity areas (CBA) or key biodiversity areas (KBA) with high gecko diversity would aid in safeguarding the greatest diversity. We have identified three major mountainous areas critical for conserving gekkonid diversity. These areas of high species richness and endemism fall within the Succulent Karoo (the greater Richtersveld region in northwestern South Africa), the Cape Floristic Biodiversity Hotspot (in several areas of the Cape Fold Mountains), and isolated mountains in northeastern South Africa. Many of these areas already fall within formally protected areas. Species of conservation concern (Afroedura multiporis (NT); Homopholis mulleri (NT); and Lygodactylus methueni (EN)) all occur within the areas of high gekkonid diversity (>7 species per QDS) in the northeastern part of South Africa. Thus, conservation efforts in the Limpopo province for these species would lower their threat status and indirectly assist in conserving significant gekkonid diversity. Conservation of critical biodiversity areas, looking at diverse, restricted, and threatened organisms, such as our geckos, is a crucial aspect of identifying priority areas. In South Africa, the National Protected Area Expansion Strategy (NPAES) was proposed in 2008, and in the subsequent decade, an expansion of protected areas was implemented, expanding the areas protected from ~3% to ~9.2% of the mainland (Figure 7). While the northeastern escarpment was identified in the NPAES, given the results of the gekkonid diversity assessment performed here, it would be worth focussing on protection for this region in future expansions. The paleoendemic gekkonids found in the northwestern parts of South Africa could also be used as a reason for the southward expansion of the /Ai/Ais-Richtersveld Transfrontier Park.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d15020306/s1, Figure S1: Phylogeny of the gekkonid species that occur in South Africa, Lesotho, and Eswatini, estimated using Bayesian inference. Squares shown indicate the posterior probability at the node, colour-coded as in the scale inset, top-left.; Table S1: Table of gekkonid species found in the Southern African countries, and the genetic sequences obtained from Genbank used in the phylogenetic tree production. All gecko species found in Southern Africa are listed in this table, and those species that did not have genetic information for the three gene regions are indicated by “no seq” or “NS”).

Author Contributions

Both authors contributed to conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing—original draft preparation, writing—review and editing, and visualization. Map production was performed by G.K.N., and the diversity and endemism analyses were performed by S.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

All genetic sequences were obtained from the publicly available accession site, Genbank. All distributional data were obtained from publicly accessible databases. No new data were produced for this study.

Acknowledgments

We thank Rhodes University for the use of their infrastructure, subscriptions to journals, and internet access.

Conflicts of Interest

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

References

  1. Hoorn, C.; Wesselingh, F.P.; ter Steege, H.; Bermudez, M.A.; Mora, A.; Sevink, J.; Sanmartín, I.; Sanchez-Meseguer, A.; Anderson, C.L.; Figueiredo, J.P.; et al. Amazonia through time: Andean uplift, climate change, landscape evolution and biodiversity. Science 2010, 330, 927–931. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Smith, B.T.; McCormack, J.E.; Cuervo, A.M.; Hickerson, M.J.; Aleixo, A.; Cadena, C.D.; Pérez-Emán, J.; Burney, C.W.; Xie, X.; Harvey, M.G.; et al. The drivers of tropical speciation. Nature 2014, 515, 406–409. [Google Scholar] [CrossRef]
  3. Hurlbert, A.H.; Jetz, W. Species richness, hotspots, and the scale dependence of range maps in ecology and conservation. Proc. Natl. Acad. Sci. USA 2007, 104, 13384–13389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Wiens, J.J.; Donoghue, M.J. Historical biogeography, ecology and species richness. Trends Ecol. Evol. 2004, 19, 639–644. [Google Scholar] [CrossRef]
  5. Waide, R.B.; Willig, M.R.; Steiner, C.F.; Mittelbach, G.; Gough, L.; Dodson, S.I.; Juday, G.P.; Parmenter, R. The relationship between productivity and species richness. Annu. Rev. Ecol. Evol. Syst. 1999, 30, 257–300. [Google Scholar] [CrossRef] [Green Version]
  6. Gotelli, N.J.; Colwell, R.K. Quantifying biodiversity: Procedures and pitfalls in the measurement and comparison of species richness. Ecol. Lett. 2001, 4, 379–391. [Google Scholar] [CrossRef] [Green Version]
  7. Uetz, P.; Freed, P.; Aguilar, R.; Hošek, J. (Eds.) The Reptile Database. 2022. Available online: https://www.reptile-database.org (accessed on 5 December 2022).
  8. Lewin, A.; Feldman, A.; Bauer, A.M.; Belmaker, J.; Broadley, D.G.; Chirio, L.; Itescu, Y.; LeBreton, M.; Maza, E.; Meirte, D.; et al. Patterns of species richness, endemism and environmental gradients of African reptiles. J. Biogeogr. 2016, 43, 2380–2390. [Google Scholar] [CrossRef]
  9. Kissling, W.D.; Blach-Overgaard, A.; Zwaan, R.E.; Wagner, P. Historical colonization and dispersal limitation supplement climate and topography in shaping species richness of African lizards (Reptilia: Agaminae). Sci. Rep. 2016, 6, 1–14. [Google Scholar] [CrossRef] [Green Version]
  10. Kafash, A.; Ashrafi, S.; Yousefi, M.; Rastegar-Pouyani, E.; Rajabizadeh, M.; Ahmadzadeh, F.; Grünig, M.; Pellissier, L. Reptile species richness associated to ecological and historical variables in Iran. Sci. Rep. 2020, 10, 1–11. [Google Scholar] [CrossRef]
  11. Doan, T.M. A south-to-north biogeographic hypothesis for Andean speciation: Evidence from the lizard genus Proctoporus (Reptilia, Gymnophthalmidae). J. Biogeog. 2003, 30, 361–374. [Google Scholar] [CrossRef]
  12. Agarwal, I.; Bauer, A.M.; Jackman, T.R.; Karanth, K.P. Insights into Himalayan biogeography from geckos: A molecular phylogeny of Cyrtodactylus (Squamata: Gekkonidae). Mol. Phyl. Evol. 2014, 80, 145–155. [Google Scholar] [CrossRef] [PubMed]
  13. Tolley, K.A.; Alexander, G.J.; Branch, W.R.; Bowles, P.; Maritz, B. Conservation status and threats for African reptiles. Biol. Conserv. 2016, 204, 63–71. [Google Scholar] [CrossRef] [Green Version]
  14. Bates, M.F.; Branch, W.R.; Bauer, A.M.; Burger, M.; Marias, J.; Alexander, G.J.; De Villiers, M.S. Suricata 1: Atlas and Red List of the Reptiles of South Africa, Lesotho, and Swaziland; South African Biodiversity Institute: Pretoria, South Africa, 2014; Volume 46, pp. 331–397. [Google Scholar]
  15. Jacobsen, N.H.; Kuhn, A.L.; Jackman, T.R.; Bauer, A.M. A phylogenetic analysis of the southern African gecko genus Afroedura Loveridge (Squamata: Gekkonidae), with the description of nine new species from Limpopo and Mpumalanga provinces of South Africa. Zootaxa 2014, 3846, 451–501. [Google Scholar] [CrossRef] [Green Version]
  16. Travers, S.L.; Jackman, T.R.; Bauer, A.M. A molecular phylogeny of Afromontane dwarf geckos (Lygodactylus) reveals a single radiation and increased species diversity in a South African montane center of endemism. Mol. Phyl. Evol. 2014, 80, 31–42. [Google Scholar] [CrossRef] [PubMed]
  17. Tolley, K.A.; Bowie, R.C.K.; Measey, G.J.; Price, B.W.; Forest, F. The shifting landscape of genes since the Pliocene: Terrestrial phylogeography in the greater cape floristic region. In Fynbos: Ecology, Evolution and Conservation of a Megadiverse Region; Allsopp, N., Colville, J.F., Verboom, G.A., Eds.; Oxford University Press: Oxford, UK, 2014; pp. 143–163. [Google Scholar]
  18. Tolley, K.A.; Tilbury, C.R.; Burger, M. Convergence and vicariance: Speciation of chameleons in the Cape Fold Mountains, South Africa, and the description of three new species of Bradypodion Fitzinger, 1843. Afr. J. Herpetol. 2022, 71, 14–38. [Google Scholar] [CrossRef]
  19. Partridge, T.C.; Maud, R.R. Geomorphic evolution of southern Africa since the Mesozoic. S. Afr. J. Geol. 1987, 90, 179–208. [Google Scholar]
  20. McCarthy, T.; Rubridge, B. The Story of Earth and Life; Struik Publishers: Cape Town, South Africa, 2005. [Google Scholar]
  21. Conradie, W.; Schmitz, A.; Lobón-Rovira, J.; Becker, F.S.; Pinto, P.V.; Hauptfleisch, M.L. Rock island melody remastered: Two new species in the Afroedura bogerti Loveridge, 1944 group from Angola and Namibia. Zoosyst. Evol. 2022, 98, 435–453. [Google Scholar] [CrossRef]
  22. Branch, B. Field Guide to Snakes and Other Reptiles of Southern Africa; Struik Publishers: Cape Town, South Africa, 1998. [Google Scholar]
  23. Heinicke, M.P.; Daza, J.D.; Greenbaum, E.; Jackman, T.R.; Bauer, A.M. Phylogeny, taxonomy and biogeography of a circum-Indian Ocean clade of leaf-toed geckos (Reptilia: Gekkota), with a description of two new genera. Syst. Biodiv. 2014, 12, 23–42. [Google Scholar] [CrossRef]
  24. Heinz, M.D.; Brennan, I.G.; Jackman, T.R.; Bauer, A.M. Phylogeny of the genus Chondrodactylus (Squamata: Gekkonidae) with the establishment of a stable taxonomy. Bull. Mus. Comp. 2021, 163, 151–210. [Google Scholar] [CrossRef]
  25. Lamb, T.; Bauer, A.M. Footprints in the sand: Independent reduction of subdigital lamellae in the Namib-Kalahari burrowing geckos. Proc. Royal Soc. B 2006, 273, 855–864. [Google Scholar] [CrossRef] [Green Version]
  26. Gamble, T.; Greenbaum, E.; Jackman, T.R.; Russell, A.P.; Bauer, A.M. Repeated origin and loss of adhesive toepads in geckos. PLoS ONE 2012, 7, e39429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Nicolau, G.K.; Petford, M.; Edwards, S.; Busschau, T.; Lynch, K.; Kemp, L.; Conradie, W. New insights into the geographical distribution, ecology and conservation status of South Africa’s endemic Coastal Leaf-toed Gecko, Cryptactites peringueyi (Boulenger, 1910). Herp. Notes 2021, 14, 439–450. [Google Scholar]
  28. Heinicke, M.P.; Jackman, T.R.; Bauer, A.M. The measure of success: Geographic isolation promotes diversification in Pachydactylus geckos. BMC Evol. Biol. 2017, 17, 1–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Rebelo, A.D.; Bates, M.F.; Burger, M.; Branch, W.R.; Conradie, W. Range expansion of the Common Dwarf Gecko, Lygodactylus capensis: South Africa’s most successful reptile invader. Herp. Notes 2019, 12, 643–650. [Google Scholar]
  30. Bauer, A.M.; Lamb, T. Phylogenetic relationships of southern African geckos in the Pachydactylus group (Squamata: Gekkonidae). Afr. J. Herp. 2005, 54, 105–129. [Google Scholar] [CrossRef]
  31. Branch, W.R.; Bauer, A.M.; Good, D.A. A review of the Namaqua gecko, Pachydactylus namaquensis (Reptilia: Gekkonidae) from southern Africa, with the description of two new species. Afr. Zool. 1996, 31, 53–69. [Google Scholar] [CrossRef] [Green Version]
  32. Bauer, A.M.; Lamb, T.; Branch, W.R. A revision of the Pachydactylus serval and P. weberi groups (Reptilia: Gekkota: Gekkonidae) of Southern Africa, and with the description of eight new species. Proc. Calif. Acad. Sci. 2006, 57, 595–709. [Google Scholar]
  33. Hibbitts, T.J.; Whiting, M.J.; Stuart-Fox, D.M. Shouting the odds: Vocalization signals status in a lizard. Behav. Ecol. Sociobiol. 2007, 61, 1169–1176. [Google Scholar] [CrossRef]
  34. Branch, W.R.; Bauer, A.M. Notes on two poorly-known Phyllodactylus (Squamata: Gekkonidae) from South Africa. Herpetol. Nat. Hist. 1996, 4, 127–134. [Google Scholar]
  35. Haacke, W.D. Description of a new species of Phyllodactylus Gray (Reptilia: Gekkonidae) from the Cape Fold Mountains, South Africa. Ann. Transvaal Mus. 1996, 36, 229–237. [Google Scholar]
  36. Bauer, A.M.; Good, D.A.; Branch, B. The taxonomy of the southern african leaf-toed geckos (Squamata: Gekkonidae), with a review of Old World “Phyllodactylus” and the description of five new genera. Proc. Calif. Acad. Sci. 1997, 49, 447–497. [Google Scholar]
  37. Pyron, R.A.; Burbrink, F.T.; Wiens, J.J. A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes. BMC Evol. Biol. 2013, 13, 1–54. [Google Scholar] [CrossRef] [Green Version]
  38. Makhubo, B.G.; Tolley, K.A.; Bates, M.F. Molecular phylogeny of the Afroedura nivaria (Reptilia: Gekkonidae) species complex in South Africa provides insight on cryptic speciation. Mol. Phylogenet. Evol. 2015, 82, 31–42. [Google Scholar] [CrossRef] [PubMed]
  39. Busschau, T.; Conradie, W.; Daniels, S.R. Evidence for cryptic diversification in a rupicolous forest-dwelling gecko (Gekkonidae: Afroedura pondolia) from a biodiversity hotspot. Mol. Phylogenet. Evol. 2019, 139, 106549. [Google Scholar] [CrossRef] [PubMed]
  40. Branch, W.R.; Schmitz, A.; Lobón-Rovira, J.; Baptista, N.L.; António, T.; Conradie, W. Rock island melody: A revision of the Afroedura bogerti Loveridge, 1944 group, with descriptions of four new endemic species from Angola. Zoosyst. Evol. 2021, 97, 55. [Google Scholar] [CrossRef]
  41. Lobon-Rovira, J.; Conradie, W.; Pinto, P.V.; Keates, C.; Edwards, S.; Plessis, A.D.; Branch, W.R. Systematic revision of Afrogecko ansorgii (Boulenger, 1907) (Sauria: Gekkonidae) from western Angola. Zootaxa 2022, 5124, 401–430. [Google Scholar] [CrossRef]
  42. Cox, N.; Young, B.E.; Bowles, P.; Fernandez, M.; Marin, J.; Rapacciuolo, G.; Böhm, M.; Brooks, T.M.; Hedges, S.B.; Hilton-Taylor, C.; et al. A global reptile assessment highlights shared conservation needs of tetrapods. Nature 2022, 605, 285–290. [Google Scholar] [CrossRef]
  43. Myers, N.; Mittermeier, R.A.; Mittermeier, C.G.; Da Fonseca, G.A.; Kent, J. Biodiversity hotspots for conservation priorities. Nature 2000, 403, 853–858. [Google Scholar] [CrossRef]
  44. Dinerstein, E.; Vynne, C.; Sala, E.; Joshi, A.R.; Fernando, S.; Lovejoy, T.E.; Mayorga, J.; Olson, D.; Asner, G.P.; Baillie, J.E.M.; et al. A global deal for nature: Guiding principles, milestones, and targets. Sci. Adv. 2019, 5, eaaw2869. [Google Scholar] [CrossRef] [Green Version]
  45. Burgess, N.; Küper, W.; Mutke, J.; Brown, J.; Westaway, S.; Turpie, S.; Meshack, C.; Taplin, J.; McClean, C.; Lovett, J.C. Major gaps in the distribution of protected areas for threatened and narrow range Afrotropical plants. Biodivers. Conserv. 2005, 14, 1877–1894. [Google Scholar] [CrossRef]
  46. Kearney, S.G.; Adams, V.M.; Fuller, R.A.; Possingham, H.P.; Watson, J.E. Estimating the benefit of well-managed protected areas for threatened species conservation. Oryx 2020, 54, 276–284. [Google Scholar] [CrossRef]
  47. Carruthers, J. National Park Science: A Century of Research in South Africa; Cambridge University Press: Cambridge, UK, 2017. [Google Scholar]
  48. Sinclair, S.P.; Milner-Gulland, E.J.; Smith, R.J.; McIntosh, E.J.; Possingham, H.P.; Vercammen, A.; Knight, A.T. The use, and usefulness, of spatial conservation prioritizations. Conserv. Lett. 2018, 11, e12459. [Google Scholar] [CrossRef]
  49. Botts, E.A.; Pence, G.; Holness, S.; Sink, K.; Skowno, A.; Driver, A.; Harris, L.R.; Desmet, P.; Escott, B.; Lötter, M.; et al. Practical actions for applied systematic conservation planning. Conserv. Biol. 2019, 33, 1235–1246. [Google Scholar] [CrossRef] [PubMed]
  50. Tickner, D.; Opperman, J.J.; Abell, R.; Acreman, M.; Arthington, A.H.; Bunn, S.E.; Cooke, S.J.; Dalton, J.; Darwall, W.; Edwards, G.; et al. Bending the curve of global freshwater biodiversity loss: An emergency recovery plan. BioScience 2020, 70, 330–342. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Stats, S.A. The Nature of South Africa’s Protected Area Estate. 2021. Available online: https://www.statssa.gov.za/?p=14732 (accessed on 14 January 2023).
  52. Department of Environmental Affairs. National Protected Areas Expansion Strategy for South Africa 2016; Department of Environmental Affairs: Pretoria, South Africa, 2016. [Google Scholar]
  53. Tolley, K.A.; Weeber, J.; Maritz, B.; Verburgt, L.; Bates, M.F.; Conradie, W.; Hofmeyr, M.D.; Turner, A.A.; da Silva, J.M.; Alexander, G.J. No safe haven: Protection levels show imperilled South African reptiles not sufficiently safe-guarded despite low average extinction risk. Biol. Conserv. 2019, 233, 61–72. [Google Scholar] [CrossRef]
  54. Tolley, K.A.; Weeber, J.; Bates, M.F.; Bauer, A.M. Afroedura multiporis. The IUCN Red List of Threatened Species 2022: E.T115648679A197428768. Available online: https://www.iucnredlist.org/species/115648679/197428768 (accessed on 17 December 2022).
  55. Tolley, K.A.; Alexander, G.J.; Conradie, W.; Pietersen, D.; Weeber, J. Homopholis mulleri. The IUCN Red List of Threatened Species 2022: E.T10235A197398514. Available online: https://www.iucnredlist.org/species/10235/197398514 (accessed on 17 December 2022).
  56. Tolley, K.A.; Weeber, J.; Pietersen, D.; Conradie, W.; Alexander, G.J. Lygodactylus methueni. The IUCN Red List of Threatened Species 2022: E.T12439A197400102. Available online: https://www.iucnredlist.org/species/12439/197400102 (accessed on 17 December 2022).
  57. QGIS Development Team. QGIS Geographic Information System. Open Source Geospatial Foundation Project. 2022. Available online: http://qgis.osgeo.org (accessed on 30 November 2022).
  58. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2022. [Google Scholar]
  59. Hollister, J.; Shah, T.; Robitaille, A.; Beck, M.; Johnson, M. elevatr: Access Elevation Data from Various APIs. R Package Version 0.4.2. 2021. Available online: https://github.com/jhollist/elevatr/ (accessed on 30 November 2022).
  60. Sievert, C. Interactive Web-Based Data Visualization with R, Plotly, and Shiny. Chapman and Hall/CRC 2020. Available online: https://plotly-r.com (accessed on 5 December 2022).
  61. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547. [Google Scholar] [CrossRef]
  62. Xia, X. DAMBE6: New tools for microbial genomics, phylogenetics, and molecular evolution. J. Hered. 2017, 108, 431–437. [Google Scholar] [CrossRef] [Green Version]
  63. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [Green Version]
  64. Rambaut, A.; Drummond, A.J.; Xie, D.; Baele, G.; Suchard, M.A. Posterior summarisation in Bayesian phylogenetics using Tracer 1.7. Syst. Biol. 2018, 67, 901–904. [Google Scholar] [CrossRef] [Green Version]
  65. Faith, D.P. Conservation evaluation and phylogenetic diversity. Biol. Conserv. 1992, 61, 1–10. [Google Scholar] [CrossRef]
  66. Rosauer, D.; Laffan, S.W.; Crisp, M.D.; Donnellan, S.D.; Cook, L.G. Phylogenetic endemism: A new approach for identifying geographical concentrations of evolutionary history. Mol. Ecol. 2009, 18, 4061–4072. [Google Scholar] [CrossRef] [PubMed]
  67. Mishler, B.D.; Knerr, N.; González-Orozco, C.E.; Thornhill, A.H.; Laffan, S.W.; Miller, J.T. Phylogenetic measures of biodiversity and neo-and paleo-endemism in Australian Acacia. Nat. Commun. 2014, 5, 4473. [Google Scholar] [CrossRef] [PubMed]
  68. Albassatneh, M.C.; Escudero, M.; Monnet, A.; Arroyo, J.; Bacchetta, G.; Bagnoli, F.; Dimopoulos, P.; Hampe, A.; Leriche, A.; Médail, F.; et al. Spatial patterns of genus-level phylogenetic endemism in the tree flora of Mediterranean Europe. Divers. Distrib. 2021, 27, 913–928. [Google Scholar] [CrossRef]
  69. Laffan, S.W.; Lubarsky, E.; Rosauer, D.F. Biodiverse, a tool for the spatial analysis of biological and related diversity. Ecography 2010, 33, 643–647, (Version 4.0). [Google Scholar] [CrossRef] [Green Version]
  70. Crisp, M.D.; Laffan, S.; Linder, H.P.; Monro, A. Endemism in the Australian flora. J. Biogeogr. 2001, 28, 183–198. [Google Scholar] [CrossRef]
  71. Lamoreux, J.F.; Morrison, J.C.; Ricketts, T.H.; Olson, D.M.; Dinerstein, E.; McKnight, M.W.; Shugart, H.H. Global tests of biodiversity concordance and the importance of endemism. Nature 2006, 440, 212–214. [Google Scholar] [CrossRef]
  72. Forest, F.; Grenyer, R.; Rouget, M.; Davies, T.J.; Cowling, R.M.; Faith, D.P.; Balmford, A.; Manning, J.C.; Procheş, Ş.; Van Der Bank, M.; et al. Preserving the evolutionary potential of floras in biodiversity hotspots. Nature 2007, 445, 757–760. [Google Scholar] [CrossRef]
  73. Molina-Venegas, R.; Rodríguez, M.Á.; Pardo-de-Santayana, M.; Ronquillo, C.; Mabberley, D.J. Maximum levels of global phylogenetic diversity efficiently capture plant services for humankind. Nat. Ecol. Evol. 2021, 5, 583–588. [Google Scholar] [CrossRef] [PubMed]
  74. Gumbs, R.; Chaudhary, A.; Daru, B.H.; Faith, D.P.; Forest, F.; Gray, C.L.; Kowalska, A.; Lee, W.S.; Pellens, R.; Pipins, S. The Post-2020 Global Biodiversity Framework must safeguard the Tree of Life. BioRxiv 2021, arXiv:2021.03.03.433783. [Google Scholar] [CrossRef]
  75. Magurran, A.E.; McGill, B.J. (Eds.) Biological Diversity: Frontiers in Measurement and Assessment; OUP: Oxford, UK, 2010. [Google Scholar]
  76. Linder, H.P. On areas of endemism, with an example from the African Restionaceae. Syst. Biol. 2001, 50, 892–912. [Google Scholar] [CrossRef] [PubMed]
  77. Bacchetta, G.; Farris, E.; Pontecorvo, C. A new method to set conservation priorities in biodiversity hotspots. Plant Biosyst. 2012, 146, 638–648. [Google Scholar] [CrossRef]
  78. Margules, C.R.; Pressey, R.L. Systematic conservation planning. Nature 2000, 405, 243–253. [Google Scholar] [CrossRef] [PubMed]
  79. Murali, G.; Gumbs, R.; Meiri, S.; Roll, U. Global determinants and conservation of evolutionary and geographic rarity in land vertebrates. Sci. Adv. 2021, 7, eabe5582. [Google Scholar] [CrossRef]
  80. Rosauer, D.F.; Jetz, W. Phylogenetic endemism in terrestrial mammals. Glob. Ecol. Biogeogr. 2015, 24, 168–179. [Google Scholar] [CrossRef]
  81. Rahbek, C.; Borregaard, M.K.; Colwell, R.K.; Dalsgaard, B.; Holt, B.G.; Morueta-Holme, N.; Nogues-Bravo, D.; Whittaker, R.J.; Fjeldsåa, J. Humboldt’s enigma: What causes global patterns of mountain biodiversity? Science 2019, 365, 1108–1113. [Google Scholar] [CrossRef]
  82. Böhning-Gaese, K.; Caprano, T.; Ewijk, K.V.; Veith, M. Range size: Disentangling current traits and phylogenetic and biogeographic factors. Am. Nat. 2006, 167, 555–567. [Google Scholar] [CrossRef]
  83. Aragón, P.; Lobo, J.M.; Olalla-Tárraga, M.Á.; Rodríguez, M.Á. The contribution of contemporary climate to ectothermic and endothermic vertebrate distributions in a glacial refuge. Glob. Ecol. Biogeogr. 2010, 19, 40–49. [Google Scholar] [CrossRef]
Figure 2. Species richness of gekkonid genera (shown separately) in South Africa, Lesotho, and Eswatini. Values in brackets indicate the number of species within the region relative to the number of species within the genus.
Figure 2. Species richness of gekkonid genera (shown separately) in South Africa, Lesotho, and Eswatini. Values in brackets indicate the number of species within the region relative to the number of species within the genus.
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Figure 3. Surface plots of the elevation (left) and gekkonid species numbers (right) at each QDGS centroid position for the countries of South Africa, Lesotho, and Eswatini. These 3D surface plots are viewed from above (1st plots), the south (2nd plots), the west (3rd plots), and the north (4th plots).
Figure 3. Surface plots of the elevation (left) and gekkonid species numbers (right) at each QDGS centroid position for the countries of South Africa, Lesotho, and Eswatini. These 3D surface plots are viewed from above (1st plots), the south (2nd plots), the west (3rd plots), and the north (4th plots).
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Figure 4. Maps of various diversity and endemism indices: (A) Taxonomic Richness (TR), (B) Shannon’s Diversity index (SD), (C) Phylogenetic Diversity (PD), and (E) Relative Phylogenetic Diversity (RPD). Maps showing significance levels resulting from a randomization test for (D) PD and (F) RPD. The red values indicate grid cells that contain significantly less PD/RPD than expected; the blue values indicate grid cells that contain significantly more PD/RPD than expected.
Figure 4. Maps of various diversity and endemism indices: (A) Taxonomic Richness (TR), (B) Shannon’s Diversity index (SD), (C) Phylogenetic Diversity (PD), and (E) Relative Phylogenetic Diversity (RPD). Maps showing significance levels resulting from a randomization test for (D) PD and (F) RPD. The red values indicate grid cells that contain significantly less PD/RPD than expected; the blue values indicate grid cells that contain significantly more PD/RPD than expected.
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Figure 5. Maps of various diversity and endemism indices: (A) Weighted Endemism (WE), (B) Corrected Weighted Endemism (CWE), (C) Phylogenetic Endemism (PE), and (E) Relative Phylogenetic Endemism (RPE). Maps showing significance levels resulting from a randomization test for (D) PE and (F) RPE. The red values indicate grid cells that contain significantly less PE/RPE than expected; the blue values indicate grid cells that contain significantly more PE/RPE than expected.
Figure 5. Maps of various diversity and endemism indices: (A) Weighted Endemism (WE), (B) Corrected Weighted Endemism (CWE), (C) Phylogenetic Endemism (PE), and (E) Relative Phylogenetic Endemism (RPE). Maps showing significance levels resulting from a randomization test for (D) PE and (F) RPE. The red values indicate grid cells that contain significantly less PE/RPE than expected; the blue values indicate grid cells that contain significantly more PE/RPE than expected.
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Figure 6. CANAPE results: Map showing QDGS squares within the Southern African countries that exhibit neoendemism (red), paleoendemism (blue), and mixed endemism (purple) levels of gekkonids. Topographical map of the Southern African countries shown on the right (created by G.K.N.).
Figure 6. CANAPE results: Map showing QDGS squares within the Southern African countries that exhibit neoendemism (red), paleoendemism (blue), and mixed endemism (purple) levels of gekkonids. Topographical map of the Southern African countries shown on the right (created by G.K.N.).
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Figure 7. Map of all formally protected areas (green) within South Africa (created by G.K.N.).
Figure 7. Map of all formally protected areas (green) within South Africa (created by G.K.N.).
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Nicolau, G.K.; Edwards, S. Diversity and Endemism of Southern African Gekkonids Linked with the Escarpment Has Implications for Conservation Priorities. Diversity 2023, 15, 306. https://doi.org/10.3390/d15020306

AMA Style

Nicolau GK, Edwards S. Diversity and Endemism of Southern African Gekkonids Linked with the Escarpment Has Implications for Conservation Priorities. Diversity. 2023; 15(2):306. https://doi.org/10.3390/d15020306

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Nicolau, Gary K., and Shelley Edwards. 2023. "Diversity and Endemism of Southern African Gekkonids Linked with the Escarpment Has Implications for Conservation Priorities" Diversity 15, no. 2: 306. https://doi.org/10.3390/d15020306

APA Style

Nicolau, G. K., & Edwards, S. (2023). Diversity and Endemism of Southern African Gekkonids Linked with the Escarpment Has Implications for Conservation Priorities. Diversity, 15(2), 306. https://doi.org/10.3390/d15020306

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