Methods |
Corresponding author: Duraisamy Saravanakumar ( duraisamy.saravanakumar@sta.uwi.edu ) Academic editor: Shana McDermott
© 2023 Duraisamy Saravanakumar, Ezra S. Bartholomew, Govind Seepersad, Janil Gore-Francis, Juliet Goldsmith, Naitram Ramnanan, Peta Gaye Chang, Puran Bridgemohan, Renita Sewsaran, Sardis Medrano-Cabral, St. Sanya Morrison.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Saravanakumar D, Bartholomew ES, Seepersad G, Gore-Francis J, Goldsmith J, Ramnanan N, Chang PG, Bridgemohan P, Sewsaran R, Medrano-Cabral S, Morrison StS (2023) Prioritisation of quarantine pest list for the Caribbean using a multi-criteria decision approach. NeoBiota 88: 1-16. https://doi.org/10.3897/neobiota.88.102673
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Quarantine plant pests are socially, economically and environmentally important due to their impact on food security, human health, global trade and crop production costs. The increase in global trade and tourism, frequent occurrence of natural disasters and climate changes have exacerbated the rate of entry, establishment and spread of plant pests regionally and globally. It has, therefore, become exigent to develop a list of pests of quarantine importance at the regional and national levels to prioritise and allocate the limited available resources to manage the associated risks. In the present study, the Technical Committee on the Formulation and Prioritisation of a Regional Priority Pest List for the Caribbean, in collaboration with the National Plant Protection Organisation of the Caribbean countries and the United States Department of Agriculture - Animal and Plant Health Inspection Service (USDA-APHIS), developed and prioritised a quarantine pest list using a multi-criteria decision-making approach. The technical committee successfully evolved the process in 2014 and 2018 and developed a list of the top 10 pests of quarantine importance for the Caribbean Region, employing the Delphi Technique (DT) and Analytical Hierarchy Process (AHP) through the assignment of criteria that are relevant to the region. The Mediterranean fruit fly (Ceratitis capitata), frosty pod rot (Moniliophthora roreri) and the tomato leaf miner (Tuta absoluta), listed as top quarantine pest threats, were subsequently detected in the region. This exercise guided the authorities in advance to allocate resources and to develop response plans including capacity building for surveillance and detection of priority pests. This has demonstrated the significance and appropriateness of the multi-criteria decision approach to determine priority pest lists and prepare the region for development of better management practices.
Analytical Hierarchy Process, Delphi Technique, invasiveness, quarantine pest, economic loss
The Caribbean Region, characterised by tropical and sub-tropical agriculture, is well known for its diversity. Each country is unique in culture and food habits. Due to its rich diversity, the region has been listed in the world’s 36 biodiversity hotspots with more than 1,500 unique plant species that are not present elsewhere in the world (
According to the Food and Agriculture Organisation of the United Nations (FAO), plants provide over 80% of the food consumed by humans and serve as the primary source of nutrition for livestock. It estimates that 40% of global crop production is lost to pests every year. Annually, plant diseases and invasive insects cost the global economy approximately US$220 billion and US$70 billion, respectively (
Many pests of quarantine importance were also reported in the Caribbean (
Plant pests have also been a major contributing factor to the declining productivity of key plantation crops that contributed significantly to agricultural gross domestic products earning of foreign exchange and employment generation. This in turn contributed to significant decline in these major plantation crops. Some examples of these are Witches broom in Cocoa; Citrus Tristeza Virus and Huanglongbing (HLB) in citrus production; Lethal Yellowing and Red Ring in coconuts and Black Sigatoka in bananas. The increase in agricultural trade due to a huge reliance on food imports (valued at US$5 billion), the high dependency of Small Island Developing States (SIDS) on tourism for their livelihood, the frequent occurrence of natural disasters in the region and the greater vulnerability of SIDS to climate change have intensified the chances of entry, establishment and spread of invasive pests in the region. The Caribbean Region has experienced serious economic, social and environmental challenges due to the intrusion of invasive pests (
At the same time, inconsistencies in the randomised prioritisation process may negatively impact sound judgement leading to the oversight of the differences in potential outcomes and the high-risk factors. There is, therefore, a strong need for a standard, precise and rigid valuation process that minimises biases and accommodates multiple factors when prioritising regional pests. In this context, Delphi Techniques and the Analytical Hierarchy Process (AHP) were explored in the present study.
The Delphi method, named after the ancient Greek oracle, was developed by the research organisation RAND in the 1950s to apply research and development-based decisions to predict military actions. Of late, this technique has been popularly used in economics to gain consensus amongst anonymous experts by sharing a specific research question (
Similarly, the AHP has been demonstrated as a successful tool that diligently handles the multi-criteria decision-making process. Due to increasing complex nature of multi-criteria decision-making approaches, especially in the fields of agriculture and biodiversity, the process of decision-making has become more critical and challenged nowadays (
The technical committee of the Caribbean region was constituted in 2011. The committee was comprised of the regional subject matter specialists viz. an entomologist, fungal pathologist, virologist, bacteriologist, malacologists, nematologist, weed scientist and an agricultural economist. The committee employed the Delphi Technique and the Analytical Hierarchy Process to formulate and prioritise the regional pest list of quarantine importance in 2014 and 2018. Prior to the committee meetings, a series of virtual meetings and email transactions were held to share the quarantine list of national importance from the National Plant Protection Organisation of the Caribbean countries. These lists were consolidated for consideration and analysis by the committee.
The Delphi Technique is used to estimate the likelihood and outcome of future events, based on expert opinion. It places a premium on “Expert Opinion” and uses qualitative information provided by reputable professionals working in a particular subject-matter area.
In this study, the National Technical Authorities were trained in the development of national pest lists, based on the traditional guidelines and International Standards for Phytosanitary Measures (ISPMs). The quarantine pest list of the Caribbean countries (Antigua and Barbuda, Dominica, Dominican Republic, Grenada, Jamaica, Guyana, Guadeloupe and Martinique, Trinidad and Tobago, Saint Lucia and Saint Kitts and Nevis) were reviewed firstly in the process of prioritising a regional pest list by the Regional Technical Committee. The following resources were consulted by the experts in shortlisting the regional pests.
Each expert selected their top 10 insect pests, weeds, molluscs, fungi, bacteria, nematodes and viral pathogens, based on the following criteria:
The details of factors considered for each criterion is given in Table
Criteria | Factors |
1. Invasiveness (establishment) | • Pest has demonstrated invasive capability in new distribution outside of its natural range |
• Pest is distributed in climates similar to that throughout | |
• Hosts of the pest are available and prevalent in the region | |
• Reproductive potential is high (no. progeny/female; no. generations/year; asexual capability) | |
• Dispersal capabilities | |
• How invasive the pest (Ability to establish and thrive) | |
2. Potential Spread | • Pest is highly mobile (capable of flight; carried easily by wind, other organisms or moving water) |
Entry/ Exit Pathway | |
• Natural barriers in country absent or not likely to prevent natural spread of the pest | |
• Pest travels with commodities that are moved commonly by man | |
• Documentation and factors to consider: | |
○ high interception numbers | |
○ hitchhikes on non-hosts | |
○ frequently imported commodities are hosts | |
○ hosts imported for planting | |
○ Is smuggling likely? | |
○ What have neighbouring countries recorded for these items? | |
3. Impact on social systems | • Food security |
• Loss of employment | |
• Human health | |
• Livestock and pet health | |
• Amenities | |
• Heritage values | |
4. Economic / domestic impact | • Production cost, domestic market share |
• GDP considerations | |
• Crop Loss / loss of primary production | |
• Farmers cost of controlling or managing pest | |
5. Economic / Trade Impact | • Foreign trade / exports of goods |
6. Economic / Environmental goods Impact | • Impact on tourism products – export of services and aesthetic value |
• Reduction in or limitation to indigenous species (flora and fauna) | |
• Negative ecosystem changes | |
7. Feasibility of Management | • Public costs including surveillance, detection and control |
To rank the pests of importance identified from the Delphi Technique (DT), the Analytical Hierarchy Process (AHP) was used in the current study. AHP is a multi-criteria decision-making method that was developed and extensively studied by Thomas L. Saaty in the 1970s. It is grounded in mathematics and human psychology and has specialised application in group decision-making where a diversity of skills, knowledge and experiences are of particular value. The subject matter specialists used the recommendations from the DT to rank pests using the AHP. The AHP model, viewed as better suited to the development of the Caribbean pest list, was tailored by
The process of ranking the plant pest list comprised of the stepwise processes: (i) identifying the criteria that were relevant to the region, based on the social (food security, human health), environmental (crop health, aesthetic value and ecosystem health) and economic importance (production costs, foreign trade and export earnings, public costs), (ii) developing a scale of importance for pairwise comparison of the criteria identified to prioritise the pest list, (iii) assigning a value to each criterion, based on the importance of the problem, (iv) calculating weightage for each criterion, (v) employing weightage of each criterion to calculate the value for each pest and (vi) ranking of the pest list identified, based on the overall weightage derived. In the current study, a list of seven criteria was developed as a strategy to reduce subjectivity and to keep experts focused on distinct issues. These were selected, based on its relevance to agriculture in the Caribbean region (Table
Criteria | Rationale for selection of the criteria |
---|---|
1. Food Security | Food security could be compromised in the Small Island Developing States when the crops are affected by the quarantine pests of importance and could result in civil unrest amongst the population in case of food insecurity. The region has been already toiling with a high food import bill of US$13.76 billion from 2018–2020. |
2. Human Health | The zoonotic nature of invasive plant pests of quarantine importance has been taken into consideration as it could potentially harm human health affecting the productive working population and collapsing the public health system. In addition, the nature of toxins produced by the quarantine pests of importance including mycotoxins were taken into consideration for listing this criterion in the list. |
3. Crop Health | Healthy crop is critical for feeding the population with safe and nutritious food. When a pest of quarantine importance affects the crop health, it could result in demanding the application of highly hazardous pesticides which in-turn affect the environmental health and animal health. |
4. Aesthetic Value / Ecosystem Health | As the Small Island Developing States highly depends on eco-tourism, the quarantine pests affecting the ecosystem health could hamper the economy generated from the tourism. For example, a pest of quarantine importance in coconut and palm trees could potentially destroy the ecosystem in the beaches/seashore. Additionally, when pests of horticultural or ecosystem-associated crops enter the region, management using pesticides would be a determinant to the ecosystem health. |
5. Production costs | When quarantine pests of importance affect the crop, the costs incurred in eradication and or prevention of spread of a pest within the island or to the neighbouring island cultivating the same crop and management of a pest, are considered as critical in the Small Island Developing States as all crop production inputs are imported to the region. |
6. Foreign Trade / Exports | Since the region has rich diversity and unique environment to produce high value crops that fetch good price at the international market through foreign trade, the entry of quarantine pests of such high-value crops (cocoa, spices, hot pepper) could destroy the industry. Hence, the quarantine pest and its impact on foreign trade was included in the selection criteria to prioritise the pest list. |
7. Public Costs | When quarantine pests affecting the high-value crops or tourism industry, the governments would have to put forth the measures at community level supporting the farmers/producers through incentives, supply of chemical inputs etc. In this case, the spending of the public costs would be determined by the nature of quarantine pests. Hence, the reason for inclusion of the criterion in selection of pest list. |
Since each country is unique, the criteria in one country could be more important than in another. Each criterion was, therefore, assigned a set of weights. A pair-wise comparison matrix was developed and each criterion was weighted relevant to the other. This process provided the judgements required to develop the matrices. Each criterion was compared with another criterion using a rating scale from 1 to 9 and weightage was developed as presented in Tables
Scale of importance for pairwise comparison of criteria set for prioritising pest list.
Intensity of importance | Definition | Explanation |
---|---|---|
1 | Equal importance | Two elements contribute equally to the objective |
3 | Moderate importance | Experience and judgement slightly favour one element over another |
5 | Strong importance | Experience and judgement moderately favour one element over another |
7 | Very strong importance | One element is favoured very strongly over another, its dominance is demonstrated in practice |
9 | Extreme importance | The evidence favouring one element over another is of the highest possible order of affirmation |
2, 4, 6, 8 can be used to express intermediate values. 1.1, 1.2 etc. for elements that are very close in importance. |
Pairwise comparison and ranking of the criterion identified for prioritising the pest list.
Matrix | Food Security | Human Health | Crop Health | Aesthetic Value / Ecosystem Health | Production Costs | Foreign Trade / Exports | Public Costs |
---|---|---|---|---|---|---|---|
Food Security | 1 | 1/5 | 5 | 7 | 1 | 5 | 5 |
Human Health | 5 | 1 | 5 | 7 | 7 | 5 | 5 |
Crop Health | 1/5 | 1/5 | 1 | 5 | 1/3 | 1/5 | 3 |
Aesthetic Value / Ecosystem Health | 1/7 | 1/7 | 1/5 | 1 | 3 | 3 | 3 |
Production Costs | 1 | 1/7 | 3 | 1/3 | 1 | 3 | 3 |
Foreign Trade / Exports | 1/5 | 1/5 | 5 | 1/3 | 1/3 | 1 | 1 |
Public Costs | 1/5 | 1/5 | 1/3 | 1/3 | 1/3 | 1 | 1 |
Developing weightage to the criteria, based on the significance in relation to occurrence of pest.
Criterion | Mean value of comparison | Weight |
---|---|---|
Food Security | 2.0914 | 0.2126 |
Human Health | 4.3739 | 0.4446 |
Crop Health | 0.6314 | 0.0642 |
Aesthetic Value / Ecosystem Health | 0.7297 | 0.0742 |
Production Costs | 1.0366 | 0.1054 |
Foreign Trade / Exports | 0.5805 | 0.0590 |
Public Costs | 0.3943 | 0.0401 |
TOTAL | 9.8378 | 1 |
The use of the Delphi Technique by the experts has resulted in the determination of 15 regional priority pests for the Caribbean (Table
Pests of quarantine importance for the Caribbean in 2014 using the Delphi Technique.
Subject Matter Specialist | Top 15 Pest of importance to the region | Criteria used to determine the pest being in the top 10 for the region |
---|---|---|
Entomology | Red Palm Weevil (Rhynchophorus ferrugineus) | Aesthetic / Food Security / The Plant Propagative Material |
Mediterranean fruit fly (Ceratitis capitata) | Production cost and domestic trade implications | |
Carambola fruit fly (Bactrocera carambolae) | Food security /Economic impact | |
Cassava mite (Mononychellus tanajoa) | Food security | |
Tomato Leaf miner (Tuta absoluta) | Food security | |
Fungi | Fusarium wilt in Banana (Fusarium oxysporum sp. cubense TR4) | Food security/ Economic Impact |
Frosty pod rot in Cacao (Moniliophthora roreri) | Trade implications | |
Black Sigatoka leaf spot in Banana (Mycosphaerella fijiensis) | Food security/ Trade implications / Natural Spread Pathway | |
Viruses | Citrus leprosis virus | Trade implications |
Bacteria /Phytoplasma | Bacterial wilt in banana (Ralstonia solanacearum) | Production cost and domestic trade implications |
Citrus canker (Xanthomonas citri subsp. citri) | Trade implications | |
Lethal yellowing in coconut (Candidatus Phytoplasma) | Economic and environmental impact (aesthetic value) | |
Weeds | Nut grass (Cyperus rotundus) | Food Security / Economic Impact / Human Movement Pathway |
White top (Parthenium hysterophorus) | IAS / Food security/ Public cost | |
Molluscs | Giant African Snail (Achatina fulica) | Human Health / Public cost / Hitch hiking Pest |
In the present study, the AHP model assigned a higher weight to the human health criterion (44%), followed by food security (21%). The lowest weight was assigned to the public costs criterion at 4%. The exercise conducted in 2014 ranked the Mediterranean Fruit Fly (Ceratitis capitata) as a pest of high-risk importance, followed by the Carambola Fruit Fly (Bactrocera carambolae). The least importance was given to the Cassava Mite and Citrus Leprosis Virus. Fusarium Wilt TR4 that received global attention during this assessment period found a place in the top 5 list (Table
Prioritised quarantine pests identified for the Caribbean using the Analytic Hierarchy Process in 2014.
Pest list derived from Delphi Technique | Weighted Score | Final AHP Ranking of Invasive Alien Species |
---|---|---|
Pest #1: Bactrocera carambolae (Carambola Fruit Fly) | 0.153 | 2 |
Pest #2: Fusarium oxysporum sp. cubense Race 4 (Banana Fusarium Wilt) | 0.130 | 4 |
Pest #3: Moniliophthora roreri (Cocoa Frosty Pod) | 0.065 | 7 |
Pest #4: Tuta absoluta (Tomato Leaf Miner) | 0.126 | 5 |
Pest #5: Ceratitis capitata (Mediterranean Fruit Fly) | 0.166 | 1 |
Pest #6: Citrus leprosis virus (Leprosis of citrus) | 0.048 | 9 |
Pest #7: Citrus canker (Xanthomonas citri subsp. citri) | 0.053 | 8 |
Pest #8: Mononychellus tanajoa (Cassava Mite) | 0.045 | 10 |
Pest #9: Ralstonia solanacearum (Moko Disease Race 2) | 0.138 | 3 |
Pest #10: Rhynchophorus ferrugineus (Red Palm Weevil) | 0.076 | 6 |
The exercise conducted in 2018 employing DT and AHP methods respectively identified and prioritised the top 10 regional quarantine pests (Table
Prioritised quarantine pests identified for the Caribbean using the Analytic Hierarchy Process in 2018.
Pest list derived from Delphi Technique | Weighted Score | Final AHP Ranking of Invasive Alien Species | |
---|---|---|---|
A | Pest #1: Burkholderia glumae (Rice Bacterial Panicle Blight) | 0.064 | 10 |
B | Pest #2: Fiji disease virus (Fiji Disease in sugarcane) | 0.066 | 9 |
C | Pest #3: Fusarium oxysporum sp. cubense (Fusarium Tropical Race 4) | 0.125 | 2 |
D | Pest #4: Ceratitis capitata (Mediterranean Fruit Fly) | 0.221 | 1 |
E | Pest #5: Ralstonia solanacearum (Moko wilt in banana) | 0.100 | 4 |
F | Pest #6: Candidatus Phytoplasma (Lethal yellowing in coconut) | 0.086 | 6 |
G | Pest #7: Tuta absoluta (Leaf miner in tomato) | 0.113 | 3 |
H | Pest #8: Citrus Leprosis Virus (Leprosis of Citrus) | 0.068 | 8 |
I | Pest #9: Moniliophthora roreri (Cocoa Frosty Pod) | 0.088 | 5 |
J | Pest #10: Xanthomonas citri subsp. citri (Citrus canker) | 0.069 | 7 |
The present study was an attempt to hone the process of developing a regional priority pest list using a multi-criteria decision-making approach. The Delphi Technique was useful in the current study, based on the discussion, peer review, consultation and opinion of the experts. This was evident from the process, during which the regional technical committee initially attempted to employ the Point Score Analysis in prioritising the pest list, based on the survey with less rigour and lack of scientific evidence (data not presented).
While comparing the DT with the AHP model, the latter was seen as a structured technique for organising and analysing complex decisions. It has been used around the world in a wide variety of strategic decision-making situations, in areas such as border disputes, government, business, industry, healthcare and education. Given the complexity of some problems and the number of factors that should be simultaneously considered to derive the best possible outcome, the AHP boasts of going beyond prescribing a “correct” decision; rather, it can help decision-makers find an option that best suits their goal and their understanding of the problem. It provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals and for evaluating alternative solutions (
The prioritisation process gave way to the first Regional Priority Pest List being completed in 2014 identifying the top 10 pests of regional priority and then once again in 2018. The Pest Prioritisation exercises were seen to be both useful and instructive for the region as the lists identified several key pests that were subsequently detected in the region: Mediterranean Fruit Fly (Ceratitis capitata) in the Dominican Republic in 2015 (
The outbreak of Mediterranean Fruit Fly was reported in the Dominican Republic in March 2015, causing an export revenue loss of US$ 40 million within 10 months of outbreak, risking 30,000 jobs (
Similarly, various reports had been received in Jamaica that farmers were losing 40–90% of their production due to frosty pod rot disease. It was estimated to destroy anywhere between 80–100% of the entire production in the island. The first case of the frosty pod rot disease was reported to the Ministry of Agriculture in August 2016, at which point it was discovered that the parish of Clarendon was heavily infested. In a matter of approximately 4–5 months, the disease was discovered to be in the neighbouring parishes of St. Catherine, St. Andrew and St. Mary. It was suspected that the pathway of entry of the frosty pod rot disease would have been through human transmission. Based on molecular analysis, it was discovered that the strain of the frosty pod rot disease in Jamaica is similar to that in Columbia. The prioritisation of pests has assisted the region to develop strategies in advance for the management of the pests where they anticipate an entry and spread into the territory. In this case, the strategies employed in Jamaica included: (i) a delimiting survey to identify how far the disease spread, (ii) training and sensitisation of farmers and other stakeholders of the disease, (iii) creation of a buffer zone that eliminated all the conditions that the disease requires to survive and (iv) training of officers in management practices. Similarly, Huanglongbing or citrus greening disease prioritised for the Caribbean region, though identified in Jamaica earlier, was later detected in Trinidad in 2017, leading to the destruction of 200,000 citrus trees as per the Ministry of Agriculture, Trinidad and Tobago. Tomato leaf miner, ranked in the top 10 list from the 2014 and 2018 exercises, was subsequently reported in 2019 and 2021, respectively, in Haiti and Trinidad. This could pose a potential threat for dissemination to the Dominican Republic and North American countries. This has clearly demonstrated the relevance and usefulness of the priority exercise employed in the development of the regional priority pest list.
Most importantly, the use of pest prioritisation techniques has been highly beneficial to the SIDS that are characterised with poor capacity in allocating resources. The prioritisation process can guide SIDS to precisely direct its resources for the prevention and management of the quarantine pests. In addition, the employment of pest prioritisation techniques will be highly useful in determining the pathways and alerting the inspection processes at air and water borders in SIDS which are highly vulnerable to the entry of invasive pests through tourism-related activities. The prioritisation process has furthermore strengthened the local knowledge throughout the region on quarantine pests of importance. The methods used in the study have flexibility to include or exclude the criteria relevant to the changing and demanding needs of region. This model could be employed elsewhere to prioritise the national or regional pest list, based on the criterion relevant to the region. Though the AHP model permitted the ranking of the pest list, based on the relative importance of the criteria proposed, some challenges still remain due to the dependency of the model on the provision of strong scientific evidence and receipt of an unbiased list of pests. Similar to techniques, such as the Horizon Scanning method (
Authors acknowledge the funding support of the United States Department of Agriculture Animal and Plant Health Inspection Service (USDA-APHIS), the Food and Agriculture Organization of the United Nations (FAO) and the Inter-American Institute for Cooperation on Agriculture (IICA) for conducting of this exercise. Authors are listed alphabetically in this paper and not necessarily in order of their contribution to the paper.
AHP model developed for priotization of quarantine plant pests in the Caribbeean
Data type: xlsx
Explanation note: The Model can be modified and used for prioritizing plant pests.