Entomology, Ornithology & Herpetology: Current Research

Entomology, Ornithology & Herpetology: Current Research
Open Access

ISSN: 2161-0983

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Research Article - (2016) Volume 5, Issue 2

Bee Fauna in and Around Kakum National Park

Rofela Combey* and Peter Kwapong
Department of Entomology and Wildlife, School of Biological Sciences, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
*Corresponding Author: Rofela Combey, Department of Entomology and Wildlife, School of Biological Sciences, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana, Tel: +233 245784847 Email:

Abstract

Even though several ecological studies on various fauna studies have been carried out in the Kakum National Park, record on the bee fauna is lacking in spite of the fact that bees are one of the most economically important insects. Bees constitute 60%-70% of all insect pollinators. This research was set out to assess the bee fauna within three landscapes (primary forest, secondary forest and agricultural land- in and around the Kakum National Park of Ghana. Pan traps (blue, white and yellow) were designed to collect bees at the canopies of forest trees as well as lower vegetation levels for thirteen months. Over 57 bee species belonging to three families (Apidae, Halictidae and Megachilidae) were identified from a total of 1, 288 bee specimens collected from the three landscapes. These were categorized into 31 genera. Significant differences in total abundance were recorded among the stingless bee and other bee species within the landscapes. In terms of sociality, variations occurred in the different landscapes with bees exhibiting four levels of sociality (parasitic, eusocial, quasisocial and solitary). Both long and short tongued bees were present in all the three landscapes.

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Keywords: Bees; Fauna; Ghana; Landscapes

Introduction

The Kakum National Park (KNP) in the Central Region of Ghana is a tropical rainforest constituting the southern part of the Kakum Conservation Area (KCA). The conservation area covers an area of 350 square kilometres. Scientific surveys dated back to 1992 estimate the floral and faunal diversity to be in several thousands of species. The main fauna of KCA include Pygmy elephants, forest buffalo, bongo antelopes, Mona and Diana monkeys and over 800 rare species of birds, butterflies, reptiles and amphibians [1]. Apart from butterflies, there is no record on other insect fauna especially bees which are known to be responsible for providing most of the pollination services within ecosystems [2]. Among the hymenopteran insects, bees play a unique role in the world of Arthropods in that they are entwined into most aspects of human culture and mythology, not to mention agriculture, economy and general ecology [3,4].

Today, bees are known by far to be major contributors to essential ecological services especially pollination. Globally, pollination and pollinator issues have occupied keystone position in the maintenance of biodiversity, in both natural and agricultural ecosystems. Pollination services provided by most bee pollinators appear to be different from other essential ecosystem services in that, it is biodiversity dependant; many plant species require specific pollinators and similarly many pollinator species require specific food plant [5-8]. Bees are almost widely used in pollination management for agriculture [9-11].

It is therefore important to investigate the bee fauna of this important national park that is responsible for the park’s maintenance and survival through the provision of pollination services. Bees may also form part of the food chain/web for other animals such as arachnids, reptiles, birds and mammals [2,12,13]. The outcome of this research would provide useful information to researchers, students and stakeholders for effective management and conservation strategies of the Kakum National Park. This research is intended to survey, determine and compare the bee diversity in three landscapes (primary forest, secondary forest and agricultural land) in and around KNP using standardized methodology.

Materials and Methods

Study areas

The study was conducted within three different landscapes (primary forest, secondary forest and agriculture land) in and around the Kakum National Park (KNP) where the bee fauna were surveyed. The Kakum National Park is located 30 km north of Cape Coast and has been under protection for over 20 years. The primary forest is located within the national park and made up of tree canopies up to 50m high with sparse understory. The secondary forest with canopy up to 25m and dense understory occupy an area of 207 ha surrounding the Kakum National Park. It was completely cleared in 1994 was left to regenerate since then. The agricultural land which is 1-2km south of Kakum National Park was intensively cultivated with oil palm and banana with regular clearing of the ground vegetation forming matrix outside the secondary forest.

Sampling

The sampling protocol followed that described in Nuttman et al [14]. A monthly survey was conducted in three replicated sites within each landscape described above. Two sets of three pan traps (blue, yellow and white) were located in each of the three landscapes. Pans consisted of 15 cm diameter X 10 cm deep (500 ml) plastic soup bowls (Pro-Pac, Vechta, Germany) sprayed on both interior and exterior surfaces with UV bright paint (Sparvar Leuchtfarbe, Spray- Color GmbH, Merzenich, Germany). Previous studies indicate that insect taxa are differentially attracted to various colors and blue, white and yellow have been shown to be effective [15]. For each round of sampling the traps were set out on the morning of the first day and collected on the morning of the third day giving 48 h of exposure. Pans were halffilled with water and a few drops of a detergent added to reduce surface tension. The contents of the traps were sieved to separate the insects, which were stored in 70% alcohol for later identification. In order to position the pan traps in the parts of the landscape where insect pollinators were active it was necessary to use different deployment methods for each habitat type. In the two forest landscapes pans were attached to ropes which ran over branches of high trees so that the pans could be hoisted to the level of the canopy: up to 15 m in the secondary forest and >30 m in the primary forest. A catapult or crossbow was first used to fire a fishing weight or blunt-ended arrow respectively, over a branch in the canopy of large trees. Attached to the projectile was strong (>5 kg breaking strain) fishing line, which was then used to pull thick string over the branch. Pan traps were arranged in a cradle, which was then attached to the string and raised carefully (to avoid spillage), into the canopy. The free end of the string was anchored at ground level to stabilise the pan traps. The position of the coloured pans was randomised between sites. Pans in the agricultural sites were hung on oil palms and shrubs at heights between 0.5m and 1.5 m in areas with flowers attractive to pollinators. Hence, the positioning of the traps at the three sites was at differing heights and allowed sampling where floral resources were most plentiful in each landscape. Bee samples were sorted into key taxa in the laboratory and bees identified to species wherever possible and to morphospecies otherwise. The taxa analysed were mainly bees [14,16,17].

Data analyses

Data from the entire sampling period were pulled together to produce one value per pan trap unit. The entire samples were sorted into species, genera and families as they occurred in each landscape and their abundance and diversity compared. Various graphical presentations and tables were used to illustrate the result of this investigation. Bee counts were log10 (n + 1) transformed and entered into a GLM with habitat as a fixed factor and replicate as a random factor nested within habitat (Minitab v14).

The floral phenologies of all plant species flowering at the time of insect collection were recorded and tabulated to assess possible forage providers for the various bee species.

Further, the percentage mass sucrose concentrations of the nectary of the flowers were measured using sucrose refractometer.

The terminology used in this study follows that of Michener [18,19]. Different morphological terms are explained in the text.

Results and Discussion

Bee fauna

Data generated from this research forms the baseline bee fauna in and around the Kakum National Park of Ghana. A total of 1288 bee samples were collected from the three landscapes studied. Bee specimens were initially categorised under stingless bees and other bees and later grouped based on family lines. Among the stingless bees and other bee species sampled, significant differences in total abundance were found between landscapes (F2, 627=27.4, p<0.001), (F2, 627=53.4, p<0.001) respectively (Figure 1). Variability in the presences of diverse floral resources with the different landscapes possibly account for the significant differences in total bee abundance as well as diversity.

entomology-ornithology-herpetology-Bee-abundance

Figure 1: Bee abundance within the three landscapes (Primary forest, Secondary forest and Agriculture land).

Classification of bee species

Bees sampled in this present study were found within three bee families (Apidae, Halictidae and Megachilidae) of the seven known African families.

Family apidae

The Apidae are probably important visitors and pollinators of a range of forest plants as well as food crops. A number of nests of the stingless bees were encountered during the data collection. Members of this family were found to be the most dominant species in the entire sample.

(a) Stingless bees

Members of this group belong to the tribe Meliponini and are sometimes referred to as sweat bees. These bees are important visitors of a range of plant species and were observed visiting many forest trees in bloom. Stingless bees also were more commonly sampled in the agricultural landscape than either the forest landscape (p=0.0267), and the primary forest yielded significantly more stingless bees than the secondary forest (p<0.0001) (Figure 1). Ten out of the 31 species listed in Eardley, 2004 and Eardley and Urban (2010) as African species were identified within the three landscapes. These included Meliponula (Meliponula) bocandei (Spinola, 1853), Axestotrigona ferruginea (Lepeletier, 1836), Meliponula (Axestotrigona) cameroonensis (Friese, 1900), Meliponula (Meliplebeia) nebulata (Smith, 1854), Dactylurina staudingeri (Gribodo, 1893), Hypotrigona gribodoi (Magretti, 1884), Hypotrigona ruspolii (Magretti, 1898), Hypotrigona araujoi (Michener, 1959), Liotrigona parvula Dachen (1971) and Cleptotrigona cubiceps (Friese, 1912).

b) Genus Xylocopa

Six species of this genus were observed foraging and nesting in all three landscapes. These species are Xylocopa olivacea (Fabricius, 1778), X. imitator Smith (1854), X. hottentotta Smith (1854), X. nigrita (Fabricius, 1775), X. torrida (Westwood, 1838) and X. varipes Smith (1854). Xylocopa olivacea and X. varipes, occurred frequently in agricultural landscapes, whereas, X. imitator, X. hottenttota, X. erythrina Gribodo (1894), X. nigrita and X. torrida were common in forest and uncultivated ecosystems.

c) Genus Amegilla

Within the genus Amegilla, five species were identified as Amegilla calens (Lepeletier, 1841), Amegilla acraensis (Fabricius, 1793), Amegilla albocaudata (Dours, 1869), Amegilla atrocincta (Lepeletier, 1841) and Amegilla nila Eardley (1994). Previously, the genus Amegilla and Anthophora were place under a separate family Anthophoridae. Members of this group of bees were predominantly sampled within the agricultural landscapes.

(d) Other bees in family apidae

In addition to these genera, other species were collected from the family that is Ceratina moerenhouti Vachal (1903), Ceratina pennicillata Friese (1905), Allodape collaris Vachal (1903), Allodape derufata Strand (1912), Allodape interrupta Vachal (1903), Alldape bouyssoui Vachal (1903), Braunsapis facialis (Gerstaecker, 1858), Braunsapis leptozonia (Vachal, 1909), Compsomelissa nigrinervis (Cameron, 1905), Thyreus axillaris (Vachal, 1903), Thyreus bouyssoui (Vachal, 1903), Tetraloniella katangensis (Cockerell, 1930). Only one species (Apis melifera adansonii Latreille, (1804)) of the genus Apis has been found to occur within the region. Apparently, A. melifera was found to frequently visit agricultural landscape, in most cases pollinating the host plants eventually. It was also found minimally in the primary forest.

Family halictidae

Fourteen species of bees were sampled during the survey belonged to the Family Halictidae. Some of these species belonged to the subfamily Halictinae (long tongued halictid). Bee species within this category includes Thrinchostoma torridum (Smith, 1879), Halictus sp, Lasioglossum duponti (Vachal, 1903) and Lasioglossum aburiense (Cockerell, 1945). Four genera of short tongued halictid bees belonging to the subfamily Nomiinnae were observed foraging mostly in the agricultural area. These species are Lipotriches natalensis (Cockerell, 1916), Lipotriches orientalis (Friese, 1909), Lipotriches cirrita (Vachal, 1903), Nomia bouyssoui Vachal (1903), Nomia candida Smith (1875), Nomia chandleri (Ashmead, 1899), Pseudapis squamata (Morawitz, 1895), Pseudapis interstitinervis (Strand, 1912), Pseudapis amoenula (Gerstaecher, 1870) and Steganomus junodi Gribodo (1895).

Family megachilidae

Five genera representing three tribes viz Osmiini, Anthidinii and Megachilini were collected during this survey. Species encountered includes Chalicodoma rufipes (Fabricus, 1781), Chalicodoma congruens Friese (1903), Chalicodoma cincta (Fabricus, 1781), Coelioxys torrida Smith (1854), Lithurgus pullatus (Vachal, 1903), Pseudoanthidium truncatum (Smith, 1854), Pachyanthidium bicolor (Lepeletier, 1841) and Megachile sp. respectively. Among the three genera, Megachile sp. was found to be the most abundant taxon in all the landscapes.

Bee diversity appeared to have direct relations with the diversity of floral composition in a particular landscape. The agricultural matrix with very diverse floral composition had highly diverse bee genera and species (Tables 1 and 2). This asserts to the fact that bees are more likely to be found in locations that provided preferred forage resources [20-24]. Further, the species diversity within the three landscapes suggested that more bee species tend to visit landscape closer to their nests and which harboured high nutritional food resources (Figures 2 and 3). Most organisms have also been found to maximize energy gain activities during foraging and minimize energy loss activities [25-26].

Bee Genera Tongue Length Sociality Nest
Preference
Type of Ecosystem    
  Long/Short Eusocial/
Quasisocial/
Solitary/ Parasitic
Expose/ Twig/ Varied/ Ground Primary Forest Secondary/
Regenerating
Forest
Agriculture/
Farmland
Apis Long Eusocial Varied
Xylocopa Long Solitary Twig
Ceratina Long Solitary Twig  
Braunsapis Long Solitary Twig  
Tetraloniella Long Solitary Twig    
Allodape Long Solitary Twig
Compsomelissa Long Solitary Twig  
Coelioxys Long Parasitic Variable & depends on
host bees
 
Steganomus Short Solitary, Ground    
Thrinchostoma Short Solitary Ground  
Halictus Short Solitary Ground    
Lasiogiossum Short Solitary Ground
Pseudapis Short Quasisocial Ground    
Lipotriches Short Quasisocial Ground    
Amegilla Long Solitary Ground  
Anthophora Long Solitary Ground    
Thyreus Long Parasitic Variable & depends on
host bees
 
Lithurgus Long Solitary Twig  
Chalicodoma Long Solitary Exposed    
Megachile Long Solitary Leaves  
Pachyanthidium Long Solitary Varied    
Pseudoanthidiutn Long Solitary Varied    
Nomia Short Solitary Ground    
Liotrigona Long Eusocial Varied  
Cleptotrigona Long Parasitic Variable & depends on
host bees
 
Meliponula Long Eusocial Twig/ Wood    
Hypotrigona Long Eusocial Varied
Dactylurina Long Eusocial Exposed  

Table 1: Genera characteristic of Bee species collected within the three landscapes.

entomology-ornithology-herpetology-The-distribution-long

Figure 2: The distribution of long and short –tongue bee genera within the three landscape types.

entomology-ornithology-herpetology-Variability-in-nest-preference

Figure 3: Variability in nest preference of bee genera encountered in the three landscapes.

Floral sucrose analyses for some of the plants surveyed in this work also indicated high sucrose content for most plants within the agriculture matrix (Tables 2 and 3). According to the economics of bee foraging, key factors that influence foraging behaviour includes good weather, shorter distances of food sources from nest, increased food quality and quantity [27], thus, it is possible for the agriculture landscape characterized by more diverse flower resources to harbour diverse bee species.

Ecosystem GPS Location Plants in flower
     
Primary forest Elev. 200m Mellitiaexcelsa
  N05°21.212'W00122.967' Secamonieafzelii
  (CanopyWalkway platform 3) Pauliniapinata
    Dailiveguineanse
    Aningererobusta
    Astoniaboonei
    Baphianitida
  Elev.l87m Myvanthusarboreies
  N0521.213'W00123.048' Acredoearpusmacrophylla
  (Canopy Walkway platform5) Alchoniacordifolia
    Psyanthusangulense
    Ficusvogelii
    Craterspernumcaudatum
    Hillerialatifolia
    Polyaltiaoliverii
    Thaliageniculata
    Funtumiaelastica
  Elev.187m Mammeaafricana
  N0521.287'W00122.864' Rauvolfiavomitoria
     
  Elev. 166m  
  N0521.168'W00122.838' Rauvolfiavomitoria
Secondaryforest   Palistahirsta
    Hillerialatifolia
    Cleistopholispateus
  Elev. l5lm Trichiliamonadelpha
  N0521.017'W00122.849'  
     
  Elev. 147m Thaliageniculata
  N05o21.084'W001o22.836' Cissusampoides
    Mammeaafricana
     
Agriculture Elev. 138m  
  N0520.759'W00122.974' Panicum maximum
    Sidaacuta
    Lantana camara
    Aspiliaafricana
    Justaciaflava
    Elaeisguineensis
    Solanumtorvum
    Puereriaphaseoilodes
  Elev. 134m Chromolaenaodorata
  N0521.069'W00122.849' Tribulussp
    Asystasiagigantica
     
  Elev. l16m  
  N05°20.650;001°23.134'W Stachytarphetaindica
    Momordicaclicurcuthia
    Baphianitida
    Synedrellanodiflora
     

Table 2: Plants in flower during time of survey.

  Host plant   Mean values of selected host plant indicating nectar quality
Volume/ mm % Mass sucrose concentration
Tribulussp 18.0 18.0
Stachytarphetaindica 9.0 29.0
Thaliageniculata 16.0 19.0
Hillerialatifolia 9.8 19.7
Cleistopholispateus 9.6 15.0
Baphianitida 8.2 10.4
Asystasiagigantica 3.2 10.2
Aspiliaafricana 4.3 11.3
Lantana camara 30.0 29.4
Puereriaphaseoloides 9.0 32.8
Chromolaenaodorata 20.0 25.0
Citrulussp 15.0 17.3
Sidaacuta 17.7 11.7
Cissusampoides 25.0 19.3
Rauvolfiavamitoria 8.0 11.6
Mammeaafricana 11.5 15.2
Funtumiaelastica 7.5 12.2
Clerodendronthirnsonii 30.6 33.8

Table 3: Floral Sucrose Content.

Sociality and Nesting Behaviour

This present studies reveal bee sociality to be more varied in the agricultural matrix than the other studied landscapes (Figure 3). For instance two quasisocal genera (Lipotriches and Pseudapis) were recorded only within the agriculture landscape (Table 1 and Figure 4). Ground nesting bees were also abundant in this landscape than any other landscape studied. Further, more solitary bees and twig nesting bees were found in the agricultural landscape than the secondary and the primary forest landscapes. Vegetation cover of the agriculture landscape comprises of soft woody tree crops as well as thickets of weeds with soft pith that could easily be excavated by many species of bees that are solitary twig nesters and do not require large cavities to nest. In the same landscape, soil texture and close proximity of potential forage resources offered by agriculture landscape possibly encourage soil dwelling solitary group to nest. Eusocial bees generally require large nesting material to house the large colony capacity associated with social bees, hence their low presence in the agriculture that does not provide conducive nesting habitat for these bees.

entomology-ornithology-herpetology-Sociality-of-bee-genera

Figure 4: Sociality of bee genera that occurred in the landscapes.

Conclusion

The Kakum National Park habours diverse species of bees that are possibly growing the forest through the essential ecosystem services of pollination. Significant differences were however observed in bee total abundance among the three landscapes. Three bee families were recorded in KNP and these include: Apidae, Halictidae and Megachilidae. Of these, members of the family Apidae recorded the highest total abundance and diversity. Agriculture landscapes support highly diverse bee communities than forested areas. Thus, when an agricultural landscape that is often characterized by disturbance of natural vegetation is augmented with plants of high forage value, such landscapes can sustain high diversity of bee communities.

Acknowledgement

Authors wish to thank the Management and staff of Kakum National Park, Ghana, for granting us the permit to sample and providing us with guards in the park. We are also grateful to Mr Hope Gamor for assisting us in the field.

References

  1. Kwapong PK, Aidoo K, Combey R, Karikari AS (2010) Stingless bees: Importance, Management and Utilisation. (1stedn) UnimaxMacmilland Press, pp: 5-36.
  2. Engel MS (2000) A new interpretation of the oldest fossil bee (Hymenoptera: Apidae). American Museum Novitatespp: 1-11.
  3. Engel MS (2001) A monograph of the Baltic amber bees and the evolution of the Apoidea (Hymenoptera). Bulletin of the American Museum of Natural Historypp: 1-192.
  4. Costanza R (1997) The v alue of the world's ecosystem services and natural capital. Nature 387: 253-260.
  5. LaSalle J, Gauld ID (1993) Hymenoptera and Biodiversity. CAB International, Wallingford, UK.
  6. Kevan PG, Imperatriz-Fonseca VL (2002) Pollinating Bees: The conservation links between agriculture and nature. Ministry of Environment, Brazil.
  7. Prescott-Allen R, Prescott-Allen C (1990) How many plants feed the world? Conversation Biology 4:365-374.
  8. Ingram M, Nabhan GP, Buchman SL (1996) Ten essential reasons to protect the birds and the bees. Arizona-Sonara Desert Museum, Tucson AZ.
  9. Kenmore P, Krell R (1998) Global Perspectives on Pollination in Agriculture and Agroecosystem Management. International workshop on the Conservation and Sustainable use of Pollinators in Agriculture with emphasis on Bees, Brazil.
  10. Karikari AS, Kwapong PK (2007) Survey of indigenous knowledge of stingless bees (ApidaeMeliponini) in the central region of Ghana. Journal of Ghana Science Association 9: 132-137.
  11. Bradbear N (2009) Bees and their role in forest livelihoods: a guide to the services provided by bees and the sustainable harvesting, processing and marketing of their products. Non-wood Forest Products, Food and Agriculture Organization, Rome.
  12. Nuttman CV, Otieno M, Kwapong PK, Combey R, Willmer P, et al. (2011) The utility of aerial pan-trapping for assessing insect pollinators across vertical strata. Journal of the Kansas Entomological Society 84: 260–270.
  13. Westphal C, Bommarco R, Carré G, Lamborn N, Morison N, et al. (2008) Measuring bee diversity in different European habitats and biogeographical regions. Ecological Monographs 78: 653-671.
  14. Potts S, Nuttman C, Kwapong PK, Combey R, Willmer P (2007) Rapid assessment of pollinator biodiversity in tropical forests. Report of Bulletin of British Ecological Society, UK.
  15. Michener CD (2000) The Bees of the World. The John Hopkins University Press, Baltimore, pp: 913.
  16. Michener CD (2007) The bees of the world. The Johns Hopkins University Press, Baltimore.
  17. Eardley CD (2004) Taxonomic revision of theAfrican stingless bees (Apoidea: Apidae: Apinae: Meliponini). African plant protection 10: 63-96.
  18. Eardley CD, Urban R (2010) Catalogue of Afrotropical bees (Hymenoptera: Apoidea: Apiformes). Zootaxa2455: 472-483.
  19. Stephen WP, Bohart GE, Torchio PF (1969) The biology and external morphology of bees. Agricultural Experiment Station.
  20. Marlin JC, LaBerge WE (2001) The native bee fauna of Carlinville, Illinois, revisited after 75 years: a case for persistence. Conservation Ecology 5: 9.
  21. Pyke GH, Pulliam HR, Charnov EL (1977) Optimal foraging: a selective review of the theory and tests. Quarterly review ofBiology 52:137–154.
  22. Pyke GH (1984) Optimal foraging theory: a critical review. Annual rev ecol Syst. 15: 523-575.
  23. Jha S, Kremen C (2013) Resource diversity and landscape-level homogeneity drive native bee foraging. Proceedings of the National Academy of Sciences110: 555-558.
  24. Charnov EL (1976) Optimal foraging, the marginal value theorem. Theoretical Population biology 9:129–136.
Citation: Combey R, Kwapong P (2016) Bee Fauna in and Around Kakum National Park. Entomol Ornithol Herpetol 5:177.

Copyright: © 2016 Combey R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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