Research Article |
Corresponding author: Marc Kenis ( m.kenis@cabi.org ) Academic editor: Matt Hill
© 2022 Marc Kenis, Lakpo Koku Agboyi, Richard Adu-Acheampong, Michael Ansong, Stephen Arthur, Prudence Tonator Attipoe, Abdul-Salam Mahamud Baba, Patrick Beseh, Victor Attuquaye Clottey, Rofela Combey, Israel Dzomeku, Mary Akpe Eddy-Doh, Ken Okwae Fening, Kofi Frimpong-Anin, Walter Hevi, Emmanuellah Lekete-Lawson, Jerry Asalma Nboyine, Godfried Ohene-Mensah, Birgitta Oppong-Mensah, Hannah Serwaa Akoto Nuamah, Grace van der Puije, Joseph Mulema.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Kenis M, Agboyi LK, Adu-Acheampong R, Ansong M, Arthur S, Attipoe PT, Baba A-SM, Beseh P, Clottey VA, Combey R, Dzomeku I, Eddy-Doh MA, Fening KO, Frimpong-Anin K, Hevi W, Lekete-Lawson E, Nboyine JA, Ohene-Mensah G, Oppong-Mensah B, Nuamah HSA, van der Puije G, Mulema J (2022) Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana. NeoBiota 71: 129-148. https://doi.org/10.3897/neobiota.71.72577
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Invasive alien species (IAS) continue to shape the global landscape through their effects on biological diversity and agricultural productivity. The effects are particularly pronounced in Sub-Saharan Africa, which has seen the arrival of many IAS in recent years. This has been attributed to porous borders, weak cross border biosecurity, and inadequate capacity to limit or stop invasions. Prediction and early detection of IAS, as well as mechanisms of containment and eradication, are needed in the fight against this global threat. Horizon scanning is an approach that enables gathering of information on risk and impact that can support IAS management. A study was conducted in Ghana to establish two ranked lists of potential invasive alien plant pest species that could be harmful to agriculture, forestry, and the environment, and to rank them according to their potential threat. The ultimate objective was to enable prioritization of actions including pest risk analysis, prevention, surveillance and contingency plans. Prioritisation was carried out using an adapted version of horizon scanning and consensus methods developed for ranking IAS worldwide. Following a horizon scan of invasive alien species not yet officially present in Ghana, a total of 110 arthropod and 64 pathogenic species were assessed through a simplified pest risk assessment. Sixteen species, of which 14 were arthropods and two pathogens, had not been recorded on the African continent at the time of assessment. The species recorded in Africa included 19 arthropod and 46 pathogenic species which were already recorded in the neighbouring countries of Burkina Faso, Côte d’Ivoire, and Togo. The majority of arthropod species were likely to arrive as contaminants on commodities, followed by a sizable number which were likely to arrive as stowaways, while some species were capable of long distance dispersal unaided. The main actions suggested for species that scored highly included full pest risk analyses and, for species recorded in neighbouring countries, surveys to determine their presence in Ghana were recommended.
Horizon scanning, invasive arthropods, pathogens, pathway of introduction, pest prioritisation, pest risk analysis
The spread of invasive alien species (IAS) has been increasing exponentially over the years, greatly facilitated by international trade and the global transport industry (
In recent years, Sub-Saharan Africa (SSA), a region dominated by resource-poor farmers, has suffered from an increasing number of invasive plant pests.
Increased trade between countries and regional blocks on the African continent has resulted in the spread of IAS once they have been reported on the continent (
Horizon scanning for invasive species is an approach that provides countries with opportunities to gather information about IAS likely to head in their direction (
The prioritisation was carried out by a panel of 23 Subject Matter Experts (SMEs) from Ghana research institutions and academia with experience in entomology, bacteriology, mycology, nematology and virology. An adapted version of the consensus method developed for ranking IAS (
The study started with a first workshop on 24–25th October 2019 in Accra, Ghana, during which the SMEs made a preliminary selection of pests that are not yet officially present in Ghana. This exercise was carried out using the premium version of the horizon scanning tool included in the CABI Crop Protection Compendium (CPC) (
At the same workshop in October 2019, the group of experts defined a scoring system, structured as a simplified Pest Risk Analysis (PRA). The system used by
The overall score was obtained by the following formula:
Likelihood of entry × likelihood of establishment × (magnitude of socio-economic impact + magnitude of environmental impact)
In addition, the system also asked for information on the likely pathway of arrival (contaminant, stowaway and/or unaided, as defined by
After a group training at the first workshop, the scoring of species was done remotely and independently by at least three assessors per species. The assessors were selected among the SMEs within each thematic group. Each expert assessed at least 20 species. The assessments were sent to the two thematic groups’ coordinators who compiled all data and sent them to all assessors before the consensus workshop.
On 27–28th February 2020, a consensus workshop was organised in Accra with the same experts who were involved in the initial scoring. All species were discussed separately in the two thematic groups. Discrepancies between scores were discussed among the three assessors of the species and the other experts. The assessors had the opportunity to modify their scores according to the opinion of the other experts. At the end, a final risk score was obtained for all assessed species by calculating the median score for all four questions and the final score as above. This score was validated by the group through consensus. In case of disagreement, the single scores were re-discussed. Species were then ranked according to their potential threat for Ghana. Some assessors who could not attend the second workshop were provided the possibility to comment on the scores by email after the workshop.
After the workshop, discussions were carried out among the experts via email to assess, for the species that had scored high, what actions could be taken to mitigate them, e.g. PRA, prevention, surveillance or contingency plans. All experts had the opportunity to review the actions and add comments. In addition, in March 2021, all 174 species were screened again, by searching on the internet and through unpublished reports, to verify that the listed species had not been reported in Ghana since the second workshop.
The full results of the assessments are provided in the Suppl. material
The twenty Arthropod species with the highest scores in the prioritisation exercise and suggested actions.
Species | Order | Score | Suggested actions |
---|---|---|---|
Maconellicoccus hirsutus Green | Hemiptera | 160 | Surveys for its potential presence in Ghana |
Aleurothrixus floccosus (Maskell) | Hemiptera | 150 | Surveys for its potential presence in Ghana |
Liriomyza trifolii (Burgess) | Diptera | 150 | Since only Liriomyza sp. is reported in Ghana, Liriomyza spp. should be sampled in the country for molecular analyses and morphological ID to assess which species is present |
Thrips palmi Karny | Thysanoptera | 150 | Since only Thips sp. Is reported in Ghana, Thrips spp. and related genera should be sampled in the country for molecular analyses and morphological ID to assess which ones are present in Ghana |
Aonidiella orientalis (Newstead) | Hemiptera | 140 | Conduct a full PRA |
Unaspis citri (Comstock) | Hemiptera | 125 | Surveys for its potential presence in Ghana and conduct a full PRA |
Spodoptera eridania Stoll | Lepidoptera | 120 | Surveys with pheromone traps and sampling |
Bemisia tabaci (Gennadius) (MEAM1) | Hemiptera | 120 | Sampling of B. tabaci in Ghana for molecular analyses to assess which sibling species is present |
Brevipalpus phoenicis (Geijskes) | Trombidiformes | 120 | Conduct a full PRA |
Callosobruchus chinensis L. | Coeloptera | 120 | Surveys to check if the species is not in Ghana. Because the other one is abundant |
Dialeurodes citri (Ashmead) | Hemiptera | 120 | Conduct a full PRA |
Diaphorina citri Kuwayama | Hemiptera | 120 | Conduct a full PRA |
Dysmicoccus neobrevipes (Beardsley) | Hemiptera | 120 | A paper suggests that it may present in Uganda (only record in Africa), but the information is not clear. Ask the authors or specialists in Uganda |
Icerya purchasi Maskell | Hemiptera | 120 | Check with Togo if the presence reported in Togo is confirmed. If yes, make surveys in Ghana |
Liriomyza huidobrensis (Blanchard) | Diptera | 120 | Since only Liriomyza sp. is reported in Ghana, sample Liriomyza spp. in the country for molecular analyses and morphological ID to assess which species is present |
Liriomyza sativae Blanchard | Diptera | 120 | Since only Liriomyza sp. is reported in Ghana, sample Liriomyza spp. in the country for molecular analyses and morphological ID to assess which species is present |
Scirtothrips dorsalis Hood | Thysanoptera | 120 | Since only Thips sp. Is reported in Ghana, sample Thrips spp. and related genera for molecular analyses and morphological ID to assess which ones are present in Ghana |
Trioza erytreae (Del Guercio) | Hemiptera | 120 | Conduct a full PRA |
Aonidiella citrina (Coquillett) | Hemiptera | 120 | Check with Côte d’Ivoire if the recorded presence in Côte d’Ivoire is confirmed. If yes, make surveys in Ghana |
Rhynchophorus ferrugineus (Olivier) | Coleoptera | 112 | Conduct a climate matching assessment and possibly a full PRA |
Pathogenic organisms with the highest scores in the prioritisation exercise and suggested actions.
Species | Kingdom | Score | Suggested actions |
---|---|---|---|
Xanthomonas oryzae pv. oryzae (Ishiyama) Swings, van den Mooter, Vauterin, Hoste, Gillis, Mew & Kersters | Bacteria | 150 | Survey for its potential presence in Ghana |
Armillaria heimii (Pegler) | Fungi | 150 | Survey for its potential presence in Ghana |
Thanatephorus cucumeris (Kühn) | Fungi | 150 | Survey for its potential presence in Ghana |
Meloidogyne enterolobii (Yang & Eisenback) | Animalia | 150 | Survey for its potential presence in Ghana |
Meloidogyne mayaguensis (Rammah & Hirschmann) | Animalia | 150 | Survey for its potential presence in Ghana |
Maize dwarf mosaic virus | Virus | 140 | Survey for its potential presence in Ghana |
Maize lethal necrosis disease | Virus | 140 | Conduct a full PRA |
Clavibacter michiganensis subsp. michiganensis (Smith) | Bacteria | 125 | Survey for its potential presence in Ghana |
Xanthomonas oryzae pv. oryzicola (Fang, Ren, Chen, Chu, Faan & Wu) Swings, Mooter, Vauterin, Hoste, Gillis, Mew & Kersters | Bacteria | 125 | Survey for its potential presence in Ghana |
Tomato spotted wilt virus | Virus | 125 | Survey for its potential presence in Ghana and conduct full PRA |
Banana bunchy top virus | Virus | 120 | Survey for its potential presence in Ghana and conduct full PRA |
Cassava brown streak virus | Virus | 120 | Conduct a full PRA |
Ralstonia solanacearum Race 2 (Smith) | Bacteria | 105 | Conduct a full PRA |
Maize chlorotic mottle virus | Virus | 105 | Conduct a full PRA |
Cocoa yellow mosaic | Virus | 105 | Survey for its potential presence in Ghana and conduct full PRA |
Meloidogyne hapla (Chitwood) | Animalia | 100 | Survey for its potential presence in Ghana |
Xanthomonas campestris pv. musacearum (Yirgou & Bradbury) Dye | Bacteria | 90 | Conduct a full PRA |
Maize stripe virus | Virus | 90 | Survey for its potential presence in Ghana and conduct full PRA |
Meloidogyne ethiopica (Whitehead) | Animalia | 90 | Survey for its potential presence in Ghana |
Phytophthora vignae (Purss) | Chromista | 84 | Survey for its potential presence in Ghana |
A total of 110 species were assessed, 101 insects and 9 mites. Fourteen species were not yet recorded in Africa at the time of assessment, 19 were already recorded in countries neighbouring Ghana (Burkina Faso, Côte d’Ivoire, and Togo) and 77 elsewhere in Africa. The scores varied from 12 to 160, the four highest scores (Maconellicoccus hirsutus, Aleurothrixus floccosus, Liriomyza trifolii, and Thrips palmi) being reached by species already present in neighbouring countries, thus likely to enter and establish, and known as important plant pests (Table
In total, 64 pathogenic species were assessed: 14 bacteria (includes one phytoplasma), 16 fungi, 14 nematodes (Kingdom: Animalia), seven water moulds (Kingdom: Chromista), and 13 viruses (Suppl. material
The overall score after considering all parameters ranged from 12, the lowest recorded for Pseudomonas savastanoi pv. savastanoi and Ditylenchus dipsaci to 150, the highest recorded for Xanthomonas oryzae pv. oryzae, Armillaria heimii, Thanatephorus cucumeris, Meloidogyne enterolobii, and Meloidogyne mayaguensis (Table
The prioritization method used in this study was inspired from horizon scanning and prioritization of IAS (
The likelihood of establishment played a less important role in the prioritisation because species that are unlikely to establish because of unsuitable climate or absence of host plants were excluded in the preliminary sorting. Thus, most species scored high in the likelihood of establishment. The impact score also played an important role in the overall score, but mostly through their potential economic impact. Few species scored high in environmental impact, probably because most invasive plant pests in tropical regions are rather known for their economic impact and those that cause concern for non-commercial plants attract less attention and may pass under the radar of such horizon scanning. Many invasive arthropods are also known for their environmental impact (
Several alien arthropods and pathogens were identified in neighbouring countries, which suggests that some of these species may already be present in Ghana but have not yet been recorded or identified to the species level. It is essential that these species are sampled and identified using morphological and molecular methods. This could be the case for some species that reached high scores in the assessment. For instance, Maconellicoccus hirsutus is a scale insect that is a serious pest of cocoa (
Species that are most probably not yet present in Ghana but already in neighbouring countries or spreading fast on the continent may require implementation of surveillance programmes, which could either be based on visual surveys or trapping campaigns (
When assessing risks, it is important to supplement the answers with a confidence level, or a level of uncertainty (
We have demonstrated that through horizon scanning, a country can identify potential invasive plant pests, both invertebrates and pathogens, and use the information to determine the risk associated with each. This will enable the country to invest the limited resources in priority actions such as preventing arrival and establishment of IAS, PRAs, surveillance and developing contingency plans. This study can serve as a model for future projects on plant pests’ prioritisation in Africa and elsewhere. It would be applicable for assessing the risk of invasive plant pests in any country or region, e.g. trade blocks, with minor modifications of the method, particularly in the mini-PRA protocol used to score species.
This study was financially supported by the Foreign, Commonwealth and Development Office (FCDO), UK, the Directorate-General for International Cooperation (DGIS), Netherlands, the European Commission Directorate-General for International Cooperation and Development (DEVCO) and the Swiss Agency for Development and Cooperation (SDC) through CABI’s Action on Invasives and Plantwise Plus Programmes. CABI is an international intergovernmental organisation and we gratefully acknowledge the core financial support from our member countries and lead agencies. See https://www.cabi.org/aboutcabi/who-we-work-with/key-donors/ for details.
Guidelines for horizon scanning for plant pests potentially threatening Ghana
Data type: Guidelines for horizon scanning.
Explanation note: Guidelines for the horizon scanning method used to score potential invasive alien plat pests in Ghana.
Risk scores for potential invasive alien plant pests in Ghana
Data type: Risk scores.
Explanation note: Risk scores for all species assessed in the horizon scanning of potential alien invasive plant pests in Ghana.