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. 2026 Jan 7;14:e163267. doi: 10.3897/BDJ.14.e163267

Species inventory and morphological measurements of spiders (Arachnida, Araneae) and ants (Insecta, Hymenoptera, Formicidae) collected in northern Ghana

Veikko Yrjölä 1,, Luís C Crespo 2,1, Stephanie Saussure 3, Francis B Asamoah 4,5,1, Arttu Soukainen 1, Benjamin K Badii 6, Pasi Sihvonen 7, Pedro Cardoso 8,1,
PMCID: PMC12809152  PMID: 41551973

Abstract

Background

Agricultural expansion, a leading driver of biodiversity loss, has widespread effects on ecosystem services, particularly in tropical regions. In West Africa, the impact of intensified agriculture on local biodiversity – especially predator and decomposer species like spiders and ants – is understudied. This study aims to provide a checklist of terrestrial spiders and ants associated with savannahs and mango orchards in northern Ghana thus creating a baseline for further ecological studies on the community composition of these groups.

New information

In this data paper, we publish the baseline checklist and morphological measurements of spiders (Araneae) and ants (Hymenoptera, Formicidae) associated with forest savannahs and mango orchards located in northern Ghana. In total, we collected 64 species (28 unidentified morphospecies) of spiders and 64 species (24 unidentified morphospecies) of ants. Of these, almost all spider species and nine ant species were new records for Ghana, while many of the morphospecies could potentially be species new to science. In addition, we publish standardised morphological measurements of each species for potential functional diversity studies in the future.

Keywords: agriculture, biodiversity, checklist, mango orchard, morphometrics, standardised sampling, West Africa, West Sudanian savannah

Introduction

Biodiversity loss – including decreasing genetic variability, population abundances and species richness – lowers an ecosystem’s capacity to maintain natural processes and its ability to provide goods and services to satisfy human needs. Despite our deep dependency on biodiversity (Cardinale et al. 2012), we are losing it alarmingly fast. One of the main drivers of biodiversity loss is agriculture (Dudley and Alexander 2017), as it leads to the conversion of natural habitats to managed systems, which, in addition to habitat loss, increases pollution, such as greenhouse gases and pesticide use. These factors are amongst the most important threats to spiders (Branco and Cardoso 2020) and insects (Mauda et al. 2018, Miličić et al. 2021) worldwide. By industrialising agriculture, we become even more dependent on a few crop and livestock species, while contributing to the mass extinction of others. For instance, richness and abundance of predator and decomposer arthropods have been shown to decline because of increased intensive agricultural practices (Attwood et al. 2008, Prieto-Benítez and Méndez 2011, Potapov et al. 2020, Melo et al. 2021). While most of the biodiversity-ecosystem functioning studies come from Europe, North America and Australia (Carrick and Forsythe 2020), similar studies need to be extended to all agricultural regions of the world.

The project "Sustainable intensification of food production through resilient farming systems in West and North Africa (SustInAfrica)" is a Horizon 2020 EU-funded capacity-building project targeting West and North African smallholder farmers to facilitate sustainable intensification of African farming systems. One of its objectives is to test and assess sustainable and resilient farming methods for mango (Mangifera indica L.), which, amongst other economical and environmental challenges, is losing significant yields to pest insects, such as the mango seed weevil (Coleoptera, Sternochetus mangiferae (Fabricius, 1775)) and mango fruit flies (Diptera, Bactrocera spp., Ceratitis spp.). In Ghana, farmers still mostly rely on the use of synthetic pesticides (Akotsen-Mensah et al. 2017), which may have both direct and indirect negative effects on non-target organisms and more sustainable agroecological practices promoting biodiversity and ecosystem services are needed. As a consequence, local biodiversity and its service providers (e.g. biological control agents) must be surveyed and monitored in order to evaluate the loss of ecosystem functioning due to farming.

We collected, quantified and identified spiders (Araneae) and ants (Hymenoptera, Formicidae) from two human-transformed mango orchards and one savannah habitat near Tamale, northern Ghana. The savannah sampling serves as a reference condition needed to quantify ecosystem integrity, i.e. to answer the question of how much different communities in agricultural areas compare with the original landscape dominated by savannah. Only with a baseline is it possible to know how much we lose in terms of taxonomic and functional diversity when relying on potentially adverse agricultural practices. Spiders and ants were chosen as study taxa because: 1) they are abundant and common in terrestrial ecosystems; 2) they provide many ecosystem services and disservices (Del Toro et al. 2012, Michalko et al. 2018, Cardoso et al. 2025) and 3) they have potential as bioindicators of ecosystem service provision (e.g. Gerlach et al. (2013)).

Numerous studies have been published on West African spiders since the late 19th century. The earliest were pioneer expedition reports (such as Karsch (1879) or Marx (1893), to cite but two), but eventually more focused and specialised works appeared, such as those by Millot in the 1940s (Berland and Millot 1940, Berland and Millot 1941, Millot 1941, Millot 1942, Millot 1946) or those by Jézéquel in the 1960s (Jézéquel 1964a, Jézéquel 1964b, Jézéquel 1964c, Jézéquel 1965, Jézéquel 1966). As a result of the interest of taxonomists and the availability of large collections that allow for comprehensive taxonomic and systematic studies, the studies published have been largely biased towards certain groups. For example, the current knowledge of West African Ctenidae is significantly enriched after the works coordinated by Rudy Jocqué (Jocqué and Steyn 1997, Steyn et al. 2003, Jocqué et al. 2006, Henrard and Jocqué 2017), but other groups, such as the genus Oxyopes Latreille, 1804, an ubiquitous presence at African grasslands and shrublands, still lack a comprehensive revision of the African species that could allow proper identification.

In myrmecology, early notable authors include Gustav Mayr, Filippo Silvestri, Felix Santschi, Henri Stitz, Carlo Emery and William Morton Wheeler, who contributed to early ant taxonomy, including African species (https://antwiki.org/wiki/World_Ant_Taxonomists). Later, Barry Bolton became known for extensive taxonomic work on African ants, publishing identification keys and descriptions still used today (Fisher and Bolton 2016). More recent studies of ant diversity in West Africa were predominantly focused on ant assemblages in tropical forest-savannah (Belshaw and Bolton 1994, Yeo et al. 2011, Kaiser et al. 2015, Yeo et al. 2017), cocoa (Room 1971, Majer 1972, Kone et al. 2014) and mango orchards (Diamé et al. 2017, Taylor et al. 2018), to name but a few. The most recent study from north-western Ghana (Sosiak et al. 2024) recorded regionally unique ant assemblages across three habitats (floodplain, Guinea savannah and riparian forest habitats), protected within the Wechiau Community Hippo Sanctuary (WCHS). The authors found that the WCHS ant assemblage was relatively unique, sharing only about 35% of species found in similar Côte d'Ivoire habitats and 25% of other Ghanaian assemblages. As of 2024, there are 428 native ant species recorded from Ghana (antsmaps.org). Nevertheless, the surveys in Ghana and West Africa in general remain scarce and scattered and a thorough region-wide revision is needed.

In order to study the biodiversity of mango agroecosystems, it is essential to have comparable and reliable metrics. Metrics such as species richness and evenness, being widely used, measure the composition and structure of communities (Gaston and Spicer 2013). In addition to taxonomic identities, a functional dimension can be applied by collecting species traits (Wong et al. 2018). The selected traits — such as body length, fang length and eye position — are ecologically meaningful because morphological features often determine how insects and arachnids exploit resources and contribute to ecosystem functions, including pollination, predation and pest regulation (Macías-Hernández et al. 2020, Drager et al. 2023). By linking morphology to functional roles, these measurements provide insights into the ecological strategies and potential ecosystem services of the studied species (de Bello et al. 2010). Finally, changes in the functional composition of species assemblages can be related to losses of ecosystem function (Mouillot et al. 2013).

General description

Purpose

"SustInAfrica" is a research project targeting West and North African smallholder farmers to facilitate sustainable intensification of African farming systems. Its overall objective is to develop and deploy a reference framework on best agricultural practices and technologies, based on a systems approach and successfully verify their efficacy to intensify primary production in a self-sufficient, sustainable and resilient manner. With this work, we intend to present a comprehensive database for species and traits of both spiders and ants sampled in the region of Tamale, northern Ghana. This work contributes to the objectives of SustInAfrica as a baseline for future monitoring of spider and ant taxonomic and functional diversity as providers of important ecosystem services and disservices, such as pest control and herbivory.

Project description

Title

Sustainable intensification of food production through resilient farming systems in West and North Africa (SustInAfrica)

Funding

SustInAfrica is funded by the EU Horizon 2020 Research and Innovation Programme under Grant Agreement 861924.

Sampling methods

Study extent

The West Sudanian savannah, situated in West Africa, is a tropical savannah ecoregion. In the northern part of Ghana (Fig. 1), it encompasses a hot and dry wooded savannah, characterised by large tree species and extensive "elephant" grass. This habitat has faced significant reduction, degradation and fragmentation due to agricultural activities, fire and clearance for wood and charcoal (One Earth 2024). Additionally, overhunting has led to a drastic decline in the populations of many larger mammal species. The ecoregion, predominantly flat and ranging between 200 and 400 metres in elevation, lacks prominent topographical features. Its climate is tropical, with mean monthly maximum temperatures fluctuating between 30°C and 33°C and mean minimum temperatures ranging from 18°C to 21°C. Annual rainfall reaches up to 1,000 mm in the southern region, but decreases towards the north, with only 600 mm along the border with the Sahelian Acacia Savannah ecoregion. Rainfall is highly seasonal and the dry season can persist for several months.

Figure 1.

Figure 1.

The research took place in the vicinity of Tamale (red star), a northern Ghanaian town that is located in the southern part of the West Sudanian savannah ecoregion (in orange colour). Map made with SimpleMappr.

Sampling description

Sampling took place in three localities near the town of Tamale, northern Ghana (Fig. 2). In Kumbungu, a small town 20 km NW of Tamale (9°32'43.9"N 0°56'06.9"W), five 30 ✕ 30 m plots were each sampled with 32 pitfall traps and four Malaise traps. These plots were further divided into four approx. 10 ✕ 10 m subplots with eight pitfall traps and one Malaise trap. In Kumbungu, pitfall traps were grouped by subplot, with eigth traps combined into a single sample. In Dallung, a small town 30 km NW of Tamale (9°37'57.8"N 1°00'27.1"W), a smaller 10 ✕ 10 m plot was sampled with eight pitfall traps and one Malaise trap, with each pitfall trap treated as an individual sample. In addition to these two mango orchards, a partly forested savannah in the Sinsablegbinni Forest Reserve, located 25 km E of Tamale (9°23'26.5"N 0°36'01.4"W), was sampled with four 50 ✕ 50 m plots, each with 48 pitfall traps and one Malaise trap. In the forest plots, pitfall traps were grouped into sets of four per sample, yielding 12 samples per plot.

Figure 2.

Figure 2.

Localities of the study sites on a base map from Google Earth.

One pitfall trap consisted of a 350-ml plastic cup (80 mm diameter) with propylene glycol up to half depth and a paper sheet to cover circa 2 cm above the ground. The traps were situated at least five metres apart from each other along the plot borders. Malaise traps were 120 ✕ 100 ✕ 150 cm, Townes style, in white colour (Ento Sphynx, ref: 26.61). The Malaise traps were situated in the middle of each plot, usually in between two trees. The trapping interval lasted for fourteen days during October and November 2022. Due to flooding, some of the fieldwork was postponed in Kumbungu for two weeks (see Temporal Coverage for details). After sampling, the material was stored in 80% ethanol and transported to the Finnish Museum of Natural History (Luomus), University of Helsinki, Finland, for further processing.

Step description

Spiders and ants were sorted from the bulk material. All of the spider specimens were first sorted into adults and juveniles and the adult specimens were identified into species and morphospecies depending on the available literature. Next, a maximum of five males and five females of each (morpho)species were measured for morphological traits. These same specimens were incorporated into the Luomus collections, the remaining specimens being shipped back to Ghana and are available at the collection of the University of Development Studies, Tamale, Ghana.

For ants, similar methods were used, except that not all identified specimens were separated from the samples after counting to save time and space. Due to the heavily female-biased sex ratio and high size variation, five to ten workers of each (morpho)species were measured for morphological traits and a maximum of ten individuals were stored in the Luomus collections, while the remaining specimens were shipped back to Ghana and are available at the collections of the University of Development Studies, Tamale, Ghana.

Leica S8AP0 and Leica M165C microscopes with Leica CLS 100 LED light sources were used for identification and morphometrics. Identification of higher taxonomy (families, subfamilies and genera) followed the literature of African spiders: an identification manual (Dippenaar-Schoeman and Jocqué 1997) and Ants of Africa and Madagascar: a guide to genera (Fisher and Bolton 2016). Identification to species was made by searching taxonomic descriptions and keys from online databases (spiders: World Spider Catalog; ants: Antwiki and Ants of Africa).

Geographic coverage

Description

Northern Region, Ghana, West Africa

Coordinates

9.3793 and 9.6289 Latitude; −1.0077 and −0.5958 Longitude.

Taxonomic coverage

Description

The following taxa of the phylum Arthropoda are covered

Taxa included

Rank Scientific Name
phylum Arthropoda
class Arachnida
order Araneae
class Insecta
order Hymenoptera
family Formicidae

Traits coverage

Spiders

1. Body size - Mean body length of adults. Spiders were measured from the closest point to the chelicera in the prosoma to the end of the abdomen (excluding abdomen appendages). Body size is consistently found to increase with temperature (e.g., Gibb et al. 2014), reflecting changes in metabolic rates. Gibb & Parr (Gibb and Parr 2013) also found that body size decreases with increasing habitat complexity for other arthropods. Finally, body size often mediates species’ responses to environmental change (Purvis et al. 2000, Chichorro et al. 2022a, Chichorro et al. 2022b, Oyarzabal et al. 2024).

2. Prosoma length - Mean prosoma length of adults, excluding chelicerae. Spider prosomas were measured at their longest. As body length is much dependent on abdomen size and this might change considerably depending on recent feeding or gravidity, often prosoma length is a more consistent measure depicting body size.

3. Prosoma width - Mean prosoma width of adults. Spider prosomas were measured at their widest. Moya-Larano (Moya-Laraño et al. 2008) proposes that prosoma width is a better measure of overall size than length. Other arthropods are narrower in more complex habitats (e.g., Sarty et al. 2006, Barton et al. 2011).

4. Prosoma height - Mean prosoma height of adults. Spider prosomas measured at their highest, including sternum. Prosoma height reflects the development of muscles and other internal structures, which might be important for hunting strategy, besides running behavior.

5. Tibia I length - Mean length of left tibia I of adults. Measured from lateral view at the mid-point of height. Tibia I length is related with running speed (Moya-Laraño et al. 2008). Might decrease intra-specifically with latitude because resource allocation for leg development is reduced with a shorter development time (Baba et al. 2012). Finally , limb length is expected to be larger in less complex habitats, as has been shown for other arthropod groups (Gibb et al. 2014).

6. Fang length - Mean fang length of adults. Fangs were measured from the base to the tip in a straight line. In orb-weavers, fang length is positively correlated with the speed of prey (Olive 1980, Olive 1981) and prey in warmer environments is expected to be faster-moving. Was also found to be related with elevation, latitude and vegetation density by Gibb et al. (Gibb et al. 2014).

Ants

Drager et al. (Drager et al. 2023) found overall body size, relative eye position and scape length to be informative for predicting diet/trophic position in ant communities. Specifically, trophic position was negatively correlated with body size and positively correlated with sensory traits (higher eye position and scape length).

1. Body size - Mean body length of worker caste. With body in lateral view, the sum of the length of the left mandible, head capsule, WL (= Weber's length), petiole and postpetiole (when present), and gaster. The body size has been

2. Head length - Mean head length of worker caste. With head in dorsal view, the length of a straight line drawn across the head of the ant at its longest point, including lobes but excluding spines and mandibles.

3. Scape length - Mean scape (first antennal segment) length of worker caste. The square root of the sum of the squared length of the left or right scape in dorsal view and the squared height of the scape with either the head in full face view or the body in lateral view, depending on the position of the antennae and of the ant on the point.

4. Eye distance - Mean distance between the compound eye and mandibular base. Shortest distance from the anterior most margin of the left compound eye in lateral view. Note, the eye position (EP) mentioned by Drager et al. is a ratio between the Eye distance and the Head length (ED:HL).

Temporal coverage

Data range: 2022-10-06 – 2022-11-14.

Notes

6-19 Oct 2022 (Kumbungu plots 1-3)

7-21 Oct 2022 (Sinsablegbinni plots 3-4)

8-22 Oct 2022 (Sinsablegbinni plots 1-2)

13-27 Oct 2022 (Dallung)

31 Oct - 14 Nov 2022 (Kumbungu plots 4-5)

Collection data

Collection name

Finnish Museum of Natural History (MZH): Hymenoptera World (Luomus), Arachnida and Myriapoda (Luomus)

Collection identifier

http://tun.fi/HR.23, http://tun.fi/HR.46

Specimen preservation method

Ethanol 96 %

Curatorial unit

The Finnish Museum of Natural History (MZH), University of Helsinki, Finland

Usage licence

Usage licence

Open Data Commons Attribution License

IP rights notes

CC-BY 4.0

Data resources

Data package title

Occurrences and morphological measurements of spiders and ants collected in Ghana, West Africa

Resource link

https://doi.org/10.15468/h9vtau https://doi.org/10.5061/dryad.h18931zwc

Number of data sets

3

Data set 1.

Data set name

Occurrence data of spiders (Araneae) and ants (Hymenoptera, Formicidae) collected from northern Ghanaian mango orchards and forest savannah

Download URL

https://ipt.laji.fi/archive.do?r=osang

Description

The dataset contains occurrence data of 36 species and 28 morphospecies of spiders (Araneae) and 40 species and 24 morphospecies of ants (Formicidae) collected from ten sampling points in northern Ghana during Oct-Nov 2022. The total sample size is 288 samples of spiders with 438 mature individuals and 782 samples of ants with 7859 individuals. The dataset contains collection information (locality, habitat, collecting method, time, coordinates, collectors etc.) and sample information (count, sex, remarks etc.).

Data set 1.
Column label Column description
occurrenceID An identifier for the dwc:Occurrence (e.g. Dallung-Plot-1-Sample-1-Spider-1).
locationID An identifier for the set of dcterms:Location information (e.g. Dallung-Plot-1).
eventDate The date-time or interval during which a dwc:Event occurred (e.g. 2022-10-13/2022-10-27).
samplingProtocol The names of, references to, or descriptions of the methods or protocols used during a dwc:Event (e.g. 8 pitfalls).
family The full scientific name of the family in which the dwc:Taxon is classified (e.g. Lycosidae).
subfamily The full scientific name of the subfamily in which the dwc:Taxon is classified (e.g. Formicinae).
genus The full scientific name of the genus in which the dwc:Taxon is classified (e.g. Trochosa).
scientificName The full scientific name, with authorship and date information if known (e.g. Myrmarachne kiboschensis Lessert, 1925).
taxonRank The taxonomic rank of the most specific name in the dwc:scientificName (e.g. genus).
identificationID An identifier for the set of dwc:Taxon information (e.g. Thomisidae008_GHA).
identificationRemarks Comments or notes about the dwc:Identification (e.g. "Could be A. wilsoni which occurs in South Africa").
identifiedBy A list (concatenated and separated) of names of people, groups or organisations who assigned the dwc:Taxon to the subject (e.g. Luís Crespo).
dateIdentified The date on which the subject was determined as representing the dwc:Taxon (e.g. 2023-03-17).
sex The sex of the biological individual(s) represented in the dwc:Occurrence (e.g. female).
caste Categorisation of individuals for eusocial species (e.g. worker).
individualCount The number of individuals present at the time of the dwc:Occurrence (e.g. 1).
basisOfRecord The specific nature of the data record (e.g. HumanObservation).
occurrenceStatus A statement about the presence or absence of a dwc:Taxon at a dcterms:Location (e.g. present).
organismRemarks Comments or notes about the dwc:Organism instance (e.g. "Missing two legs").
dynamicProperties A list of additional measurements, facts, characteristics or assertions about the record. Meant to provide a mechanism for structured content (e.g.{"HW":0.4875,"HL":0.625,"CI":78,"SIL":52}; abbreviations were retrieved from "antwiki Mophological Measurements").
occurrenceRemarks Comments or notes about the dwc:Occurrence (e.g. a new species).
continent The name of the continent in which the dcterms:Location occurs (e.g. Africa).
higherGeography A list (concatenated and separated) of geographic names less specific than the information captured in the dwc:locality term (e.g. West Africa).
country The name of the country or major administrative unit in which the dcterms:Location occurs (e.g. Ghana).
stateProvince The name of the next smaller administrative region than country (state, province, canton, department, region etc.) in which the dcterms:Location occurs (e.g. Northern region).
locality The specific description of the place (e.g. 30 km NW of Tamale).
habitat A category or description of the habitat in which the dwc:Event occurred (e.g. West Sudanian savannah).
decimalLatitude The geographic latitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic centre of a dcterms:Location. Positive values are north of the Equator, negative values are south of it (e.g. 9.544).
decimalLongitude The geographic longitude (in decimal degrees, using the spatial reference system given in dwc:geodeticDatum) of the geographic centre of a dcterms:Location. Positive values are east of the Greenwich Meridian, negative values are west of it (e.g. −0.936).
geodeticDatum The ellipsoid, geodetic datum or spatial reference system (SRS), upon which the geographic coordinates given in dwc:decimalLatitude and dwc:decimalLongitude are based (e.g. WGS84).
georeferenceSources A list (concatenated and separated) of maps, gazetteers or other resources used to georeference the dcterms:Location, described specifically enough to allow anyone in the future to use the same resources (e.g. Google maps).
coordinateUncertaintyInMetres The horizontal distance (in metres) from the given dwc:decimalLatitude and dwc:decimalLongitude describing the smallest circle containing the whole of the dcterms:Location (e.g. 300).
recordedBy A list (concatenated and separated) of names of people, groups or organisations responsible for recording the original dwc:Occurrence (e.g. Francis Asamoah | Pedro Cardoso | Stéphanie Saussure | Arttu Soukainen | Fuseini Wumdei).
associatedOccurrences A list (concatenated and separated) of identifiers of other dwc:Occurrence records and their associations to this dwc:Occurrence (e.g. id.luomus.fi/HV.25869).
countryCode The standard code for the country in which the dcterms:Location occurs (e.g. GH).
kingdom The full scientific name of the kingdom in which the dwc:Taxon is classified (e.g. Animalia).
id ID of the data row added by the IPT (here same as occurrenceID).

Data set 2.

Data set name

Morphological measurements of spiders (Araneae) collected from northern Ghanaian mango orchards and forest savannah

Download URL

https://datadryad.org/stash/dataset/doi: 10.5061/dryad.h18931zwc

Description

This dataset contains the values of morphological traits measured from mature spiders collected in northern Ghana October/November 2022. The six measured morphological traits for spiders are Total body length (mm), Prosoma length (mm), Prosoma width (mm), Prosoma height (mm), Tibia I length (mm) and Fang length (mm).

Data set 2.
Column label Column description
organismID An identifier for the dwc:Organism instance.
family The full scientific name of the family in which the dwc:Taxon is classified (e.g. Lycosidae).
genus The full scientific name of the genus in which the dwc:Taxon is classified (e.g. Trochosa).
scientificName The full scientific name, with authorship and date information if known (e.g. Myrmarachne kiboschensis Lessert, 1925).
taxonRank The taxonomic rank of the most specific name in the dwc:scientificName (e.g. species).
identificationID An identifier for the set of dwc:Taxon information (e.g. Lycosidae034_GHA).
sex The sex of the biological individual (e.g. female).
measurementRemarks Comments or notes accompanying the measurements (e.g. "detached opisthosoma").
Total body length mm Maximum Opisthosoma length + Maximum Prosoma length in millimetres (excl. chelicerae and spinnerets).
Prosoma length mm Maximum length of the prosoma antero-posteriorly from clypeus to pedicel in millimetres.
Prosoma width mm Maximum length of the prosoma meso-laterally in millimetres.
Prosoma height mm Maximum length of the prosoma dorso-ventrally in millimetres.
Tibia I length mm Maximum length of the outer tibia I (leg) in millimetres.
Fang length mm Maximum length of the fang from outer base to tip in millimetres.
measurementMethod A description of the method used to determine the measurement (e.g. microscopy).

Data set 3.

Data set name

Morphological measurements of ants (Hymenoptera, Formicidae) collected from northern Ghanaian mango orchards and forest savannah

Download URL

https://datadryad.org/stash/dataset/doi: 10.5061/dryad.h18931zwc

Description

This dataset contains the values of morphological traits measured from ants collected in northern Ghana October/November 2022. The four measured morphological traits for ants are Total body length (mm), Head length (mm), Scape length (mm) and Eye distance (mm).

Data set 3.
Column label Column description
organismID An identifier for the dwc:Organism instance.
subfamily The full scientific name of the subfamily in which the dwc:Taxon is classified (e.g. Formicinae).
genus The full scientific name of the genus in which the dwc:Taxon is classified (e.g. Camponotus).
scientificName The full scientific name, with authorship and date information if known (e.g. Camponotus sericeus (Fabricius, 1798)).
taxonRank The taxonomic rank of the most specific name in the dwc:scientificName (e.g. subspecies).
identificationID An identifier for the set of dwc:Taxon information (e.g. Pheidole002_GHA).
caste Categorisation of individuals for eusocial species (e.g. worker).
measurementRemarks Comments or notes accompanying the measurements (e.g. "head dented").
Total body length mm Maximum Head length + Maximum Mesosomal (Weber's) length + Maximum Metasomal length in millimetres.
Head length mm Maximum length of the head excluding mandibles in millimetres.
Scape length mm Maximum length of the 1st antennal segment.
Eye distance mm Minimum length of the distance between compound eye and mandibular base in millimetres.
measurementMethod A description of the method used to determine the measurement (e.g. microscopy).

Additional information

Our survey revealed 64 (morpho)species of spiders from 47 genera and 22 families (Table 1). The total sample size was 438 individuals, with 291 males and 147 females (juveniles were not counted). In total, 36 taxa (56%) were identified to species level and 28 (44%) to morphospecies. Approximately 40% of the observed taxa were singletons (only one occurrence), while the most abundant (morpho)species with 64 individuals was Dusmadiores sp. (Zodariidae009_GHA).

Table 1.

List of all spider (morpho)species in taxonomic and alphabetical order by their family, the first records from Ghana, presence/absence within habitats and the total number of observed individuals.

Species/morphospecies Family First record from Ghana Mango Savannah Abundance
Larinia sp. Araneidae027_GHA Araneidae X 1
Neoscona blondeli (Simon, 1886) Araneidae no X 1
Neoscona cereolella (Strand, 1907) Araneidae yes X 1
Clubiona sp. Clubionidae037_GHA Clubionidae X 1
Cambalida compressa Haddad, 2012 Corinnidae yes X 1
Cambalida fulvipes (Simon, 1896) Corinnidae yes X 1
Anahita aculeata (Simon, 1897) Ctenidae yes X X 4
Acontius sp. Cyrtaucheniidae024_GHA Cyrtaucheniidae X X 2
Hongkongia sp. Gnaphosidae006_GHA Gnaphosidae X X 5
Minosia clypeolaria (Simon, 1907) Gnaphosidae yes X 28
Minosia eburneensis Jézéquel, 1965 Gnaphosidae yes X 2
Synaphosus yatenga Ovtsharenko, Levy & Platnick, 1994 Gnaphosidae yes X 1
Zelotes cassinensis FitzPatrick, 2007 Gnaphosidae yes X 7
Zelotes scrutatus (O.Pickard-Cambridge, 1872) Gnaphosidae yes X 2
Agyneta prosectes (Locket, 1968) Linyphiidae yes X 1
Ceratinopsis idanrensis Locket & Russell-Smith, 1980 Linyphiidae yes X 5
Ceratinopsis machadoi (Miller, 1970) Linyphiidae yes X 7
Erigone prominens Bösenberg & Strand, 1906 Linyphiidae yes X 19
Metaleptyphantes perexiguus (Simon & Fage, 1922) Linyphiidae yes X X 3
Amblyothele hamatula Russell-Smith, Jocqué & Alderweireldt, 2009 Lycosidae yes X 1
Amblyothele sp. Lycosidae023_GHA Lycosidae X 22
Arctosa sp. Lycosidae034_GHA Lycosidae X 2
Foveosa albicapillis Russell-Smith, Alderweireldt & Jocqué, 2007 Lycosidae yes X X 7
Lycosidae030_GHA Lycosidae X 1
Pardosa sp. Lycosidae033_GHA Lycosidae X 1
Trochosa mundamea Roewer, 1960 Lycosidae yes X X 6
Trochosa sp. Lycosidae010_GHA Lycosidae X 5
Trochosa sp. Lycosidae029_GHA Lycosidae X 34
Speocera sp. Ochyroceratidae014_GHA Ochyroceratidae X 6
Oecobius sp. Oecobiidae005_GHA Oecobiidae X X 27
Antoonops kamieli Fannes, 2013 Oonopidae yes X X 3
Oonopidae020_GHA Oonopidae X X 21
Oonopidae026_GHA Oonopidae X 1
Opopaea sp. Oonopidae036_GHA Oonopidae X 3
Oxyopes dumonti (Vinson, 1863) Oxyopidae yes X 3
Oxyopes sp. Oxyopidae021_GHA Oxyopidae X 1
Oxyopes sp. Oxyopidae028_GHA Oxyopidae X 1
Oxyopes sp. Oxyopidae032_GHA Oxyopidae X 1
Scelidocteus sp. Palpimanidae015_GHA Palpimanidae X 1
Thanatus sp. Philodromidae038_GHA Philodromidae X 8
Tibellus minor Lessert, 1919 Philodromidae yes X 4
Perenethis simoni (Lessert, 1916) Pisauridae yes X 1
Evarcha idanrensis Wesołowska & Russell-Smith, 2011 Salticidae yes X 2
Hyllus dotatus (G. W. Peckham & E. G. Peckham, 1903) Salticidae yes X 1
Langelurillus quadrimaculatus Wesolowska & Russel-Smith, 2011 Salticidae no X X 9
Langona bristowei Berland & Millot, 1941 Salticidae yes X 1
Menemerus eburnensis Berland & Millot, 1941 Salticidae yes X 1
Myrmarachne kiboschensis Lessert, 1925 Salticidae yes X 2
Phlegra pusilla Wesołowska & van Harten, 1994 Salticidae yes X X 2
Phlegra touba Logunov & Azarkina, 2006 Salticidae yes X X 15
Stenaelurillus wa Wawer & Wesolowska, 2025 Salticidae no X 6
Salticidae102_GHA Salticidae X 1
Scytodes reticulata Jézéquel, 1964 Scytodidae yes X 1
Cepheia longiseta (Simon, 1881) Synaphridae yes X 1
Tetragnatha jaculator Tullgren, 1910 Tetragnathidae yes X 1
Argyrodes argyrodes (Walckenaer, 1841) Theridiidae yes X 1
Theridiidae013_GHA Theridiidae X 1
Bassaniodes sp. Thomisidae035_GHA Thomisidae X 12
Ozyptila sp. Thomisidae008_GHA Thomisidae X 2
Acanthinozodium sahelense Jocqué & Henrard, 2015 Zodariidae yes X 7
Dusmadiores sp. Zodariidae009_GHA Zodariidae X X 64
Mallinella sp. Zodariidae022_GHA Zodariidae X X 9
Mallinella sp. Zodariidae031_GHA Zodariidae X 4
Zodariidae012_GHA Zodariidae X 42

Our survey revealed 64 (morpho)species of ants from 27 genera and five subfamilies (Table 2). The total sample size was 7,849 individuals, of which four were males. In total, 40 taxa (62.5%) were identified to species level and 24 (37.5%) to morphospecies. Approximately 17% of the observed taxa were singletons (only one occurence), while the most abundant (morpho)species with over 2,700 individuals was Pheidole sp. (Pheidole002_GHA).

Table 2.

List of all ant (morpho)species in taxonomic and alphabetical order by their subfamily, the first records from Ghana, presence/absence within habitats and the total number of observed individuals.

Species/morphospecies Subfamily First record from Ghana Mango Savannah Abundance
Tapinoma carininotum Weber, 1943 Dolichoderinae yes X X 14
Aenictus boltoni Gomez, 2022 Dorylinae no X 5
Aenictus guineensis Santschi, 1924 Dorylinae no X 1
Dorylus braunsi Emery, 1895 Dorylinae yes X 77
Dorylus spininodis Emery, 1901 Dorylinae no X X 1067
Parasyscia kenyensis (Consani, 1951) Dorylinae yes X 1
Parasyscia sudanensis (Weber, 1942) Dorylinae no X 1
Agraulomyrmex001_GHA Formicinae yes X 1
Camponotus carbo occidentalis Mayr, 1902 Formicinae no X X 36
Camponotus maculatus species complex Formicinae X X 189
Camponotus sericeus (Fabricius, 1798) Formicinae no X X 101
Camponotus001_GHA Formicinae X X 7
Camponotus002_GHA Formicinae X 78
Camponotus003_GHA Formicinae X 7
Camponotus004_GHA Formicinae X 63
Camponotus005_GHA Formicinae X 24
Lepisiota capensis guineensis (Mayr, 1902) Formicinae no X X 287
Lepisiota capensis laevis (Santschi, 1913) Formicinae no X X 71
Lepisiota001_GHA Formicinae X 1
Lepisiota002_GHA Formicinae X 4
Nylanderia scintilla LaPolla & Fisher, 2011 Formicinae yes X 37
Oecophylla longinoda (Latreille, 1802) Formicinae no X 45
Paratrechina longicornis (Latreille, 1802) Formicinae no X 2
Polyrhachis viscosa Smith, F., 1858 Formicinae no X 4
Cardiocondyla emeryi Forel, 1881 Myrmicinae no X 2
Cardiocondyla yoruba Rigato, 2002 Myrmicinae no X X 3
Carebara001_GHA Myrmicinae X 12
Crematogaster001_GHA Myrmicinae X X 18
Crematogaster002_GHA Myrmicinae X X 33
Crematogaster003_GHA Myrmicinae X 1
Crematogaster004_GHA Myrmicinae X 5
Meranoplus magrettii André, 1884 Myrmicinae no X 60
Monomorium afrum André, 1884 Myrmicinae no X 9
Monomorium balathir Bolton, 1987 Myrmicinae no X X 23
Monomorium bicolor Emery, 1877 Myrmicinae no X X 144
Monomorium mictilis Forel, 1910 Myrmicinae yes X X 7
Monomorium001_GHA Myrmicinae X X 53
Monomorium002_GHA Myrmicinae X 3
Myrmicaria salambo Wheeler, W.M., 1922 Myrmicinae no X X 969
Myrmicaria001_GHA Myrmicinae X 2
Pheidole001_GHA Myrmicinae X 319
Pheidole002_GHA Myrmicinae X X 2734
Pheidole003_GHA Myrmicinae X X 187
Pheidole004_GHA Myrmicinae X X 419
Pheidole005_GHA Myrmicinae X X 11
Strumigenys rufobrunea Santschi, 1914 Myrmicinae no X X 2
Tetramorium angulinode Santschi, 1910 Myrmicinae no X 150
Tetramorium anxium Santschi, 1914 Myrmicinae no X 10
Tetramorium caldarium (Roger, 1857) Myrmicinae yes X X 37
Tetramorium calinum Bolton, 1980 Myrmicinae no X 12
Tetramorium dysderke Bolton, 1980 Myrmicinae yes X 1
Tetramorium ericae Arnold, 1917 Myrmicinae yes X 12
Tetramorium sericeiventre Emery, 1877 Myrmicinae no X 1
Tetramorium zapyrum Bolton, 1980 Myrmicinae no X X 54
Tetramorium001_GHA Myrmicinae X 1
Trichomyrmex abyssinicus (Forel, 1894) Myrmicinae no X 67
Trichomyrmex oscaris (Forel, 1894) Myrmicinae no X X 59
Bothroponera silvestrii Santschi, 1914 Ponerinae no X X 9
Bothroponera soror (Emery, 1899) Ponerinae no X 197
Brachyponera sennaarensis (Mayr, 1862) Ponerinae no X 1
Hypoponera punctatissima (Roger, 1859) Ponerinae no X 2
Leptogenys longiceps Santschi, 1914 Ponerinae no X 3
Odontomachus troglodytes Santschi, 1914 Ponerinae no X 93
Plectroctena macgeei Bolton, 1974 Ponerinae no X 1

In Kumbungu mango orchards, species richness (mean 8.4 ± sd 2.19), Hill number 1; i.e. exponential Shannon entropy (6.5 ± 2.52) and evenness (0.907 ± 0.054) of spiders were rather low and variable (Table 3). The single plot in the Dallung mango orchard also revealed low values for species richness (8.0), Hill 1 (6.5) and evenness (0.901). Finally, in Sinsablegbinni Forest Reserve, species richness (10.0 ± 2.15), Hill 1 (8.6 ± 2.47) and evenness (0.947 ± 0.015) of spiders were higher on average.

Table 3.

Alpha diversity of spiders and ants within each plot. Observed mean species richness, the exponent of Shannon diversity (Hill q = 1) and evenness were rarefied and calculated with R package 'BAT' 2.9.6. (Cardoso et al. 2015).

Spiders Ants
Plot Species richness Hill q = 1 Evenness Species richness Hill q = 1 Evenness
Kumbungu 1 11.79 10.378 0.959 16.64 8.196 0.932
Kumbungu 2 8.59 5.638 0.914 13.67 5.504 0.923
Kumbungu 3 5.80 3.449 0.818 9.16 3.262 0.884
Kumbungu 4 8.40 6.858 0.940 18.81 9.358 0.943
Kumbungu 5 7.43 6.207 0.904 15.00 6.568 0.906
Dallung 8.00 6.492 0.901 10.74 6.112 0.894
Sinsablegbinni 1 12.85 11.742 0.969 13.86 5.956 0.930
Sinsablegbinni 2 10.52 9.340 0.947 12.97 3.684 0.922
Sinsablegbinni 3 8.15 6.474 0.941 14.29 5.460 0.932
Sinsablegbinni 4 8.57 6.784 0.932 17.83 7.172 0.956

In Kumbungu mango orchards, species richness (mean 14.7 ± sd 3.62), Hill 1 (6.6 ± 2.37) and evenness (0.918 ± 0.023) of ants were surprisingly high, but had high variance between plots (Table 3). As with spiders, the single plot at Dallung mango orchard showed low values for species richness (10.7), Hill 1 (6.1) and evenness (0.894) of ants. Finally, in Sinsablegbinni Forest Reserve, species richness (14.7 ± 2.13), Hill 1 (5.57 ± 1.45) and evenness (0.935 ± 0.015) of ants were more or less the same as in Kumbungu.

In addition to taxonomic alpha diversity, we wanted to add a functional dimension. Given the time and resource constraints of this study, only morphological measures were taken. The averaged measures (mean) of morphological traits of each species are represented for spiders (Table 4) and ants (Table 5), respectively.

Table 4.

The average of each morphological trait by spider (morpho)species. TL = total body length, PrL = prosoma length, PrW = prosoma width, PrH = prosoma height, TIL = tibia I length, FL = fang length. All measures in millimetres. Values are rounded to three decimals. Missing values are marked as NAs.

(Morpho)species n TL PrL PrW PrH TIL FL
Larinia sp. Araneidae027_GHA 1 3.100 1.600 1.150 0.750 2.000 0.250
Neoscona blondeli (Simon, 1886) 1 9.500 3.600 3.000 1.500 NA 0.800
Neoscona cereolella (Strand, 1907) 1 4.400 2.250 1.750 1.250 1.750 0.338
Clubiona sp. Clubionidae037_GHA 1 4.100 1.950 1.350 0.850 0.900 0.450
Cambalida compressa Haddad, 2012 1 6.100 2.850 2.000 1.600 2.100 0.680
Cambalida fulvipes (Simon, 1896) 1 NA 1.875 1.350 0.975 NA 0.388
Anahita aculeata (Simon, 1897) 4 10.035 4.868 3.539 1.592 4.272 1.134
Acontius sp. Cyrtaucheniidae024_GHA 2 6.762 2.839 1.897 2.000 1.351 0.959
Hongkongia sp. Gnaphosidae006_GHA 5 5.444 2.295 1.696 1.010 1.563 0.444
Minosia clypeolaria (Simon, 1907) 5 6.148 3.079 2.427 1.785 1.631 0.416
Minosia eburneensis Jézéquel, 1965 2 4.952 2.348 1.687 1.196 1.549 0.354
Synaphosus yatenga Ovtsharenko, Levy & Platnick, 1994 1 2.575 1.225 0.875 0.560 0.675 0.125
Zelotes scrutatus (O.Pickard-Cambridge, 1872) 2 5.294 2.372 1.749 0.995 1.299 0.618
Zelotes cassinensis FitzPatrick, 2007 7 7.241 3.439 2.611 1.599 1.826 0.589
Agyneta prosectes (Locket, 1968) 1 1.380 0.560 0.400 0.375 0.525 0.100
Ceratinopsis idanrensis Locket & Russell-Smith, 1980 5 1.131 0.625 0.502 0.407 0.437 0.130
Ceratinopsis machadoi (Miller, 1970) 6 1.252 0.610 0.516 0.401 0.444 0.141
Metaleptyphantes perexiguus (Simon & Fage, 1922) 10 1.170 0.521 0.409 0.317 0.482 0.097
Erigone prominens Bösenberg & Strand, 1906 3 1.203 0.649 0.532 0.524 0.497 0.178
Amblyothele sp. Lycosidae023_GHA 1 4.400 2.175 1.700 1.150 1.250 0.375
Amblyothele hamatula Russell-Smith, Jocqué & Alderweireldt, 2009 10 2.763 1.336 1.036 0.748 1.207 0.227
Arctosa sp. Lycosidae034_GHA 2 4.469 2.510 1.871 1.500 1.150 0.530
Foveosa albicapillis Russell-Smith, Alderweireldt & Jocqué, 2007 5 2.527 1.408 1.099 0.968 0.998 0.216
Lycosidae030_GHA 1 7.700 4.100 3.000 2.500 3.200 0.900
Pardosa sp. Lycosidae033_GHA 1 5.500 2.800 2.100 1.600 1.675 0.600
Trochosa sp. Lycosidae010_GHA 5 10.242 5.258 3.749 3.045 2.808 1.123
Trochosa mundamea Roewer, 1960 5 11.345 5.566 4.214 3.517 2.932 1.276
Trochosa sp. Lycosidae029_GHA 10 5.729 3.150 2.401 1.716 1.903 0.606
Speocera sp. Ochyroceratidae014_GHA 6 1.091 0.485 0.408 0.320 0.694 0.098
Oecobius sp. Oecobiidae005_GHA 10 1.635 0.640 0.733 0.537 0.510 0.060
Antoonops kamieli Fannes, 2013 3 1.437 0.754 0.559 0.398 0.249 0.091
Oonopidae020_GHA 10 1.421 0.724 0.524 0.441 0.380 0.099
Oonopidae026_GHA 1 2.025 0.875 0.700 0.500 0.650 0.150
Opopaea sp. Oonopidae036_GHA 3 1.571 0.650 0.517 0.385 0.254 0.083
Oxyopes dumonti (Vinson, 1863) 3 3.777 1.830 1.299 0.909 1.872 0.258
Oxyopes sp. Oxyopidae021_GHA 1 NA 1.550 1.250 0.650 1.875 0.213
Oxyopes sp. Oxyopidae028_GHA 1 4.750 2.000 1.500 1.300 2.100 0.275
Oxyopes sp. Oxyopidae032_GHA 1 3.420 1.750 1.250 1.000 1.350 0.200
Scelidocteus sp. Palpimanidae015_GHA 1 4.850 2.200 1.500 1.400 0.900 0.288
Tibellus minor Lessert, 1919 4 8.857 3.409 2.334 1.409 4.652 0.405
Thanatus sp. Philodromidae038_GHA 6 4.563 2.505 2.523 1.555 2.758 0.298
Perenethis simoni (Lessert, 1916) 1 10.800 3.500 2.750 1.500 6.000 0.900
Evarcha idanrensis Wesołowska & Russell-Smith, 2011 2 5.144 2.225 1.686 1.500 0.762 0.331
Hyllus dotatus (G. W. Peckham & E. G. Peckham, 1903) 1 4.700 2.000 1.350 1.750 1.500 0.475
Langelurillus quadrimaculatus Wesolowska & Russel-Smith, 2011 6 3.614 1.784 1.384 1.239 0.511 0.194
Langona bristowei Berland & Millot, 1941 1 7.000 3.500 2.450 2.300 0.900 0.438
Menemerus eburnensis Berland & Millot, 1941 1 4.350 2.200 1.600 0.850 0.850 0.525
Myrmarachne kiboschensis Lessert, 1925 2 5.518 2.325 1.275 1.049 1.373 0.788
Phlegra pusilla Wesołowska & van Harten, 1994 2 2.324 1.186 0.776 0.704 0.374 0.149
Phlegra touba Logunov & Azarkina, 2006 10 3.063 1.534 1.068 0.898 0.422 0.201
Stenaelurillus wa Wawer & Wesolowska, 2025 6 4.812 2.384 1.706 1.574 0.691 0.271
Salticidae102_GHA 1 3.250 1.750 1.300 1.300 0.580 0.250
Scytodes reticulata Jézéquel, 1964 1 3.600 1.750 1.350 1.000 NA 0.100
Cepheia longiseta (Simon, 1881) 1 0.900 0.300 0.310 0.300 0.240 0.075
Tetragnatha jaculator Tullgren, 1910 1 5.500 1.850 1.150 0.800 5.000 0.875
Argyrodes argyrodes (Walckenaer, 1841) 1 2.250 1.250 0.575 0.875 1.650 0.213
Theridiidae013_GHA 1 NA 1.500 1.300 0.875 1.375 0.250
Bassaniodes sp. Thomisidae035_GHA 6 4.898 2.518 2.442 1.354 1.730 0.288
Ozyptila sp. Thomisidae008_GHA 2 3.491 1.620 1.799 1.000 1.000 0.194
Acanthinozodium sahelense Jocqué & Henrard, 2015 5 3.488 1.823 1.371 1.007 1.845 0.145
Dusmadiores sp. Zodariidae009_GHA 10 1.705 0.832 0.595 0.483 0.504 0.063
Mallinella sp. Zodariidae022_GHA 8 6.843 3.423 2.343 1.947 1.930 0.370
Mallinella sp. Zodariidae031_GHA 4 6.487 3.181 2.120 1.680 1.598 0.323
Zodariidae012_GHA 10 2.417 1.222 0.963 0.767 1.232 0.108

Table 5.

The average of each morphological trait by ant (morpho)species. TL = total body length, HL = head length, SL = scape length, ED = eye distance (from the mandibular base). All measures are in millimetres. Values are rounded to three decimals. Missing values are marked as NAs.

(Morpho)species n TL HL SL ED
Tapinoma carininotum Weber, 1943 5 1.871 0.452 0.407 0.092
Aenictus boltoni Gomez, 2022 4 2.580 0.569 0.307 NA
Aenictus guineensis Santschi, 1924 1 3.500 0.675 0.488 NA
Dorylus braunsi Emery, 1895 5 3.901 0.962 0.443 NA
Dorylus spininodis Emery, 1901 5 5.347 1.094 0.433 NA
Parasyscia kenyensis (Consani, 1951) 1 3.313 0.675 0.350 0.275
Parasyscia sudanensis (Weber, 1942) 1 2.975 0.575 0.313 0.213
Agraulomyrmex001_GHA 1 1.163 0.300 0.225 0.050
Camponotus carbo occidentalis Mayr, 1902 5 7.003 1.533 1.874 0.746
Camponotus maculatus species complex 7 9.324 2.046 2.499 0.888
Camponotus sericeus (Fabricius, 1798) 5 8.292 1.805 1.748 0.815
Camponotus001_GHA 5 8.986 2.128 2.005 1.024
Camponotus002_GHA 5 7.384 1.546 2.125 0.746
Camponotus003_GHA 5 7.703 1.570 2.008 0.638
Camponotus004_GHA 5 8.581 1.767 2.346 0.838
Camponotus005_GHA 5 6.614 1.326 1.354 0.663
Lepisiota capensis guineensis (Mayr, 1902) 5 2.925 0.602 0.727 0.165
Lepisiota capensis laevis (Santschi, 1913) 5 1.747 0.425 0.462 0.105
Lepisiota001_GHA 1 1.725 0.425 0.450 0.150
Lepisiota002_GHA 4 2.664 0.559 0.721 0.193
Nylanderia scintilla LaPolla & Fisher, 2011 5 1.962 0.505 0.575 0.125
Oecophylla longinoda (Latreille, 1802) 5 7.679 1.601 2.250 0.504
Paratrechina longicornis (Latreille, 1802) 2 2.760 0.643 1.175 0.194
Polyrhachis viscosa Smith, F., 1858 3 7.668 1.638 1.947 0.732
Cardiocondyla emeryi Forel, 1881 2 1.681 0.425 0.288 0.050
Cardiocondyla yoruba Rigato, 2002 3 1.650 0.421 0.267 0.071
Carebara001_GHA 6 1.398 0.374 0.223 0.097
Crematogaster001_GHA 5 3.802 0.810 0.637 0.319
Crematogaster002_GHA 5 3.113 0.660 0.560 0.237
Crematogaster003_GHA 1 3.213 0.663 0.513 0.263
Crematogaster004_GHA 4 1.924 0.450 0.300 0.181
Meranoplus magrettii André, 1884 5 3.141 0.699 0.515 0.230
Monomorium afrum André, 1884 5 4.112 0.905 0.771 0.252
Monomorium balathir Bolton, 1987 5 2.014 0.477 0.342 0.088
Monomorium bicolor Emery, 1877 5 3.207 0.694 0.617 0.185
Monomorium mictilis Forel, 1910 5 1.533 0.352 0.212 0.070
Monomorium001_GHA 5 1.575 0.372 0.252 0.077
Monomorium002_GHA 2 1.594 0.375 0.244 0.063
Myrmicaria salambo Wheeler, W.M., 1922 2 8.405 1.473 1.612 0.662
Myrmicaria001_GHA 5 8.894 1.648 1.760 0.692
Pheidole001_GHA 5 2.934 0.614 0.647 0.130
Pheidole002_GHA 5 3.447 0.765 1.055 0.177
Pheidole003_GHA 5 3.117 0.647 0.822 0.147
Pheidole004_GHA 5 2.417 0.510 0.472 0.110
Pheidole005_GHA 5 2.682 0.586 0.617 0.130
Strumigenys rufobrunea Santschi, 1914 2 2.199 0.525 0.275 0.219
Tetramorium angulinode Santschi, 1910 5 2.553 0.567 0.347 0.127
Tetramorium anxium Santschi, 1914 5 2.263 0.517 0.365 0.117
Tetramorium caldarium (Roger, 1857) 5 2.232 0.492 0.352 0.110
Tetramorium calinum Bolton, 1980 5 3.594 0.767 0.522 0.205
Tetramorium dysderke Bolton, 1980 1 3.040 0.600 0.438 0.213
Tetramorium ericae Arnold, 1917 5 1.977 0.460 0.290 0.090
Tetramorium sericeiventre Emery, 1877 1 3.500 0.813 0.775 0.256
Tetramorium zapyrum Bolton, 1980 5 3.047 0.657 0.427 0.190
Tetramorium001_GHA 1 4.360 0.860 0.640 0.200
Trichomyrmex abyssinicus (Forel, 1894) 5 4.193 1.084 0.731 0.264
Trichomyrmex oscaris (Forel, 1894) 5 2.081 0.507 0.357 0.115
Bothroponera silvestrii Santschi, 1914 5 5.883 1.135 0.890 0.230
Bothroponera soror (Emery, 1899) 5 8.907 1.595 1.285 0.335
Hypoponera punctatissima (Roger, 1859) 1 2.740 0.550 0.363 0.063
Leptogenys longiceps Santschi, 1914 3 4.875 0.875 0.807 0.142
Odontomachus troglodytes Santschi, 1914 5 10.559 2.510 2.270 0.529
Plectroctena macgeei Bolton, 1974 1 12.650 2.500 1.550 0.300

Finally, we calculated the community weighted means of each spider (Table 6) and ant trait (Table 7). While the Community Weighted Mean (CWM) of a trait has been criticised due to its tendency to be overly optimistic when testing for trait-environment relationships, it is still a powerful tool to understand both effect and response traits in ecosystem research (Lepš and de Bello 2023). We calculated CWMs for all traits across plots to provide a first insight into the differences in trait diversity that could drive ecosystem functioning.

Table 6.

Community Weighted Mean (the average of the local distribution of a trait in a community) of spider traits within each plot. Calculated with R package 'BAT' 2.9.6. (Cardoso et al. 2015).

Spiders
Plot Total body length (mm) Prosoma length (mm) Prosoma width (mm) Prosoma heigth (mm) Tibia I length (mm) Fang length (mm)
Kumbungu 1 5.929 2.621 1.865 1.383 2.181 0.405
Kumbungu 2 5.193 2.504 1.931 1.426 1.275 0.406
Kumbungu 3 4.688 2.287 1.774 1.305 1.442 0.355
Kumbungu 4 4.381 2.264 1.853 1.292 1.424 0.386
Kumbungu 5 3.361 1.726 1.440 1.044 1.236 0.250
Dallung 3.383 1.710 1.241 0.962 1.158 0.364
Sinsablegbinni 1 3.860 1.877 1.460 1.100 1.147 0.313
Sinsablegbinni 2 2.631 1.254 0.972 0.745 0.823 0.173
Sinsablegbinni 3 2.485 1.217 0.915 0.715 0.884 0.157
Sinsablegbinni 4 2.792 1.430 1.047 0.818 0.990 0.189

Table 7.

Community Weighted Mean (the average of the local distribution of a trait in a community) of ant traits within each plot. Calculated with R package 'BAT' 2.9.6. (Cardoso et al. 2015).

Ants
Plot Total body length (mm) Head length (mm) Scape length (mm) Eye distance (mm)
Kumbungu 1 4.947 1.090 1.166 0.340
Kumbungu 2 6.821 1.343 1.295 0.426
Kumbungu 3 7.035 1.333 1.418 0.517
Kumbungu 4 3.835 0.849 0.970 0.244
Kumbungu 5 4.107 0.877 0.735 0.143
Dallung 5.015 1.129 1.185 0.274
Sinsablegbinni 1 5.112 1.043 1.171 0.334
Sinsablegbinni 2 3.702 0.817 0.991 0.203
Sinsablegbinni 3 4.409 0.925 1.028 0.233
Sinsablegbinni 4 4.187 0.891 0.789 0.156

Acknowledgements

We are grateful for the personnel at the Finnish Museum of Natural History (Luomus), University of Helsinki, who kindly helped us with the collection work (Timo Pajunen), material handling and shipping (Timo Pajunen and Hanna Laakkonen) and database work (William Morris). We would also like to thank our collaborators in Ghana who helped us in the field (Fuseini Wumdei) and kindly hosted our visit (Abdul Halim Abubakari).

SustInAfrica is funded by the EU Horizon 2020 Research and Innovation Programme under Grant Agreement 861924.

Funding Statement

SustInAfrica is funded by EU Horizon 2020 Research and Innovation Programme under Grant Agreement 861924.

Contributor Information

Veikko Yrjölä, Email: veikkoyr98@gmail.com.

Pedro Cardoso, Email: pedro.cardoso@helsinki.fi.

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