Research Article |
Corresponding author: Christina N. De Jesús Villanueva ( christinadejesusvillanueva@gmail.com ) Academic editor: Harald Auge
© 2024 Christina N. De Jesús Villanueva, Gabriela P. Massanet Prado, Steven M. Van Belleghem, William Gould, Jason J. Kolbe.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
De Jesús Villanueva CN, Massanet Prado GP, Van Belleghem SM, Gould W, Kolbe JJ (2024) Experimental evidence of negative agricultural impacts and effectiveness of mitigation strategies of invasive green iguanas (Iguana iguana) in Puerto Rico. NeoBiota 96: 49-66. https://doi.org/10.3897/neobiota.96.114925
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Losses in crop yield due to invasive insects, weeds, pathogens, and herbivores cost trillions of dollars per year globally. To prevent further spread of invasive agricultural pest species, continuous monitoring and prevention are crucial. Once introduced, however, assessing the impact of an invasive pest on agricultural production and testing management strategies are essential. The green iguana (Iguana iguana), a globally widespread invasive herbivore, is considered a possible agricultural pest although no quantitative data on its impact are available. In this study, we evaluated the impact of the invasive green iguana on cucumber (Cucumis sativus, var. Dasher II) and lettuce (Lactuca sativa, var. Black-seeded Simpson) yield by testing the efficacy of two management strategies – Neem-based pesticide and mesh fencing – compared to open field cultivation in Puerto Rico. Mesh fencing led to 20% more growth and doubled cucumber yield compared to open field cultivation, while spraying Neem led to an 18% increase in plant growth but no effect on cucumber yield. We found no difference in lettuce growth or yield among treatment and control plots. This study supports categorizing the green iguana as an invasive agricultural pest species and demonstrates the reptile’s potential to reduce crop yield. It also shows that Neem application at the manufacturer’s suggested concentration is not an effective mitigation technique for reducing crop loss due to green iguana herbivory. Government agencies in regions where the green iguana has the potential to be introduced should consider the species a threat to food production when developing monitoring programs and drafting regulations.
Agricultural loss, biological invasion, cost of invasive species, exclusion experiment, invasive species in agriculture
Invasive species are a threat to global agricultural production (
Determining the extent of crop loss caused by a potential pest is critical for justifying prevention measures (
Management recommendations aimed at reducing the negative impact of pest species often focus on controlling pest populations (
Testing invasive species management techniques on farms can have the two-fold benefit of providing policy makers with important information regarding the efficacy of management techniques while quantifying the economic impact needed to justify the development of pest management schemes. A good system to investigate this approach is the green iguana (Iguana iguana, Linnaeus, 1758), a widespread invasive species for which little information about its impact or management exists. The green iguana is native to Central and South America but has expanded its range most notably during the 1990’s through the pet trade (
The green iguana’s impact on agriculture is often cited by researchers and wildlife professionals as negative (
In this study, we sought to quantify the impact of the green iguana on agricultural production and to test the utility of currently employed management techniques. To determine if green iguana management on farms leads to increased crop yield, we used two agricultural crops reported as impacted by the green iguana in Puerto Rico, cucumbers (Cucumis sativus) and lettuce (Lactuca sativa), and two management techniques, mesh fences and Neem-based repellent (
We conducted experiments at two agricultural experimental stations (AES) on the Caribbean island of Puerto Rico. These AES are part of the University of Puerto Rico Mayagüez agricultural extension program and are in the towns of Juana Diaz (18.032318, -66.528910) and Gurabo (18.255926, -65.987933). We chose these two sites to conduct our experiments based on observations by field station agronomists of green iguana-related crop loss at each site and our own confirmation of the presence of green iguanas at each AES. To confirm the presence of green iguana on the two sites, we used visual encounter surveys (VES) at both field sites. The VES were repeated once a week for two months from June to August 2019. During the VES, three observers on average walked along each farm’s fence line in a linear path adjacent to the experimental site for 200 m. Observations began at 0800 h and continued at a steady pace, stopping only to take note of the observations, until the 200 m length had been walked. Observations were made by eye, and binoculars were used to confirm observations when necessary. The climatic and soil conditions of the two sites were distinct from one another (see Suppl. materials for further details). The Juana Diaz Experimental Station is at an elevation of 0.0 Meters Above Mean Sea Level (MAMSL), and it is within the semi-arid climatic zone of the island (
To test how green iguanas may affect the cultivation and harvest of crops, we focused on two crops commonly grown in Puerto Rico: lettuce, Lactuca sativa (var. Black-seeded Simpson) and cucumber, Cucumis sativus (var. Dasher II). Lettuce and cucumber seedlings were purchased from local germination companies and transplanted into mulched plots covered in black plastic (4.6 m long by 1.5 m wide) at each AES. In each plot, 15 plants of either lettuce or cucumber were planted. Spacing between plants within the plots was 0.3 m and staggered in a zig-zag pattern (Fig.
Each plot was randomly assigned to one of three treatments, Neem oil (chemical deterrent), mesh fence (physical barrier) or control (open field cultivation with no Neem or fence) using the package agricolae v 1.3-3 (
Based on the results of our power analysis, at both the Juana Diaz and Gurabo Experimental Stations, each treatment was replicated 10 times for a total of 30 plots of each crop, that is, 60 plots total for the two crops (i.e., 10 plots each of lettuce and cucumber in each of control, fence, and Neem treatments, Fig.
Spatial arrangement of plots at the Juana Diaz Agricultural Experimental Station experimental site. Yield (Kg) and mortality (%) are shown for each plot. The border line pattern indicates the experimental treatment, red lines indicate the presence of green iguanas in the plot, and the rectangle fill color indicates the species of crop planted. Row 1 was the closest to the forest edge.
All treatments were subjected to the irrigation, fertilization, and pesticide application as described above and no further actions were taken for control plots. For the two experimental treatments, additional steps to deter green iguana herbivory were taken. In our first experimental treatment, we used a commercially available chemical deterrent called Trilogy™ (Certis USA), which is an organic foliar pesticide derived from Neem plants (Azadirachta indica). It was sprayed directly onto plants once per week by the station staff using a backpack sprayer for the duration of the experiment following the manufacturer’s suggested dilution of 1%. For our second experimental treatment, we physically fenced in crops with a nylon monofilament fishing net (Lee Fisher Company, www.leefisherfishing.com). Net openings when fully tensed were 7.0 cm in size, the height of the net when tensed was 1.7 m, though in our treatment 0.6 m of the net was buried to prevent green iguanas from digging underneath the fence. To reduce the ability of green iguanas to climb on the surface, the nets were not fully taut and left hanging slightly off their posts (Fig.
For the duration of the experiment, we monitored green iguana presence and documented instances of herbivory through researcher observations and six camera traps (Foxelli Mod No. 57047, interspersed among plant treatments at edges and center of the experiment) at each experimental site. For cucumbers, we attributed plant herbivory to green iguanas when entire leaves were removed and only the petiole remained. If we observed leaves with other forms of damage (Suppl. material
We calculated the mean and standard deviation of plant growth and harvest yield for cucumber and lettuce plants using R in R studio (
During our pre-planting visual encounter survey (VES), we observed higher green iguana presence in Juana Diaz (289 lizards in 6 days, Fig.
Photos from camera traps confirmed green iguana herbivory at Juana Diaz, with no other large herbivores observed (Suppl. material
Because we only documented or observed one incidence of herbivory on lettuce, and because there was no difference in growth or yield of lettuce as a function of our treatments (Fig.
Evidence of green iguana presence at the Juana Diaz Agricultural Experimental Station study site. Six camera traps were used to monitor for green iguana activity A photo showing two green iguanas in a cucumber control plot B photo documenting evidence of green iguana herbivory on a cucumber plant in a control plot. We considered plants with only a leaf petiole (and no leaf) as evidence of green iguana herbivory as opposed to instances of leaf damage indicative of insect herbivory C photo showing claw and tail marks on the plastic mulch liner used to control weed growth.
At the Juana Diaz Agricultural Station A mean (±SD) for the number of leaves as a measure of cucumber growth by treatment. An increase in leaf number indicates plant growth B survival analysis comparing cucumber survival among treatments. Cucumbers in the fence treatment had a higher likelihood of survival over the course of the experiment (P = 0.046) C mean (± SD) for cucumber yield by treatment.
Observations of green iguana occurrence made during visual encounter surveys (VES) along a 200-m transect adjacent to the fence line next to planting sites within the two Agricultural Experimental Station farms in Puerto Rico. Blanks are left for days where VES were completed in one site but not the other.
2019 Visual Encounter Survey dates | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Farm | June 26 | July 09 | July 16 | July 18 | July 23 | Aug 01 | Aug 02 | Aug 06 | Aug 08 | Aug 16 | Total |
Juana Diaz | 43 | 51 | 46 | 55 | 52 | 42 | 289 | ||||
Gurabo | 0 | 6 | 0 | 2 | 3 | 11 | |||||
Total | 300 |
Our square-root transformed cucumber growth and yield data provided a better GLMM fit based on skewness (growth = 0.78, yield = -0.29), lower AIC values (Suppl. material
Parameter estimates of fixed effects from generalized linear mixed model (GLMM) of cucumber growth and yield. We used the lmer function and fit the model by REML in the R package lme4 (
Effect Estimate | SE | t value | Confidence interval lower 95 | Confidence interval upper 95 | p | |
---|---|---|---|---|---|---|
Growth | ||||||
Intercept (Control) | 1.82 | 0.08 | 21.76 | [1.66] | [1.99] | <0.001 |
Cucumber Fence | 0.20 | 0.05 | 3.82 | [0.10] | [0.30] | <0.001 |
Cucumber Neem | 0.02 | 0.05 | 0.32 | [-0.08] | [0.12] | 0.75 |
Distance to forest | 0.0061 | 0.0015 | 3.99 | [0.00] | [0.01] | <0.001 |
Yield | ||||||
Intercept | 0.004 | 0.89 | 0.004 | [-1.74 | 1.75] | 0.997 |
Cucumber Fence | 2.06 | 0.45 | 4.59 | [1.18 | 2.94] | <0.001 |
Cucumber Neem | 0.81 | 0.45 | 1.80 | [-0.07 | 1.69] | 0.071 |
Distance to forest | 0.03 | 0.02 | 1.95 | [0.00 | 0.06] | 0.052 |
Mean (± SD), median (minimum, maximum) and total of cucumber yield (i.e., weight and number of cucumbers) for each treatment at the Juana Diaz Agricultural Experimental Station.
Treatment | ||||
---|---|---|---|---|
Juana Diaz | Control (N = 20) | Fence (N = 20) | Neem (N = 20) | Total (N = 60) |
Cucumber weight (Kg) | ||||
Mean (SD) | 5.09 (± 7.28) | 15.50 (± 10.20) | 7.63 (± 7.14) | 9.41 (± 9.31) |
Median [Min, Max] | 0.670 [0, 21.5] | 12.0 [3.00, 35.00] | 8.00 [0, 24.50] | 8.00 [0, 35.00] |
Total yield | 102 | 310 | 153 | 564 |
Number of cucumbers | ||||
Mean (SD) | 9.80 (± 14.10) | 27.60 (± 15.00) | 16.90 (± 12.90) | 18.10 (± 15.60) |
Median [Min, Max] | 1.50 [0, 49.00] | 25.00 [7.00, 52.00] | 14.50 [0, 48.00] | 15.00 [0, 52.0] |
Total yield | 196 | 551 | 337 | 1080 |
Global agricultural production and food security is under immense pressure due to species invasions (
At a small research site (0.25 acres), we confirmed the detrimental effects of green iguanas on crop production previously reported in interviews with farmers (
The reductions in yield we observed in our Neem and control plots translate into potentially heavy economic losses for farmers who may be facing crop loss due to the green iguana and to the economy in general. By visiting five local food markets and distributors to determine the price of cucumbers, we were able to calculate the loss in revenue a Puerto Rican farmer would have faced on the island at the time of our harvest. In December 2019, a 25lb (11.33 Kg) box of cucumbers was being purchased wholesale at between $19 and $22 USD. Based on our harvest results, if a farmer would have used open field cultivation for cucumbers on one acre with plants experiencing green iguana herbivory, they would have sold their harvest at around $4,429 USD ($20.5 USD/ 11.33 Kg). In contrast, a farmer using mesh fencing to reduce green iguana herbivory would have sold their cucumbers for $13,462 USD. Taking into account the cost of materials (estimated at $134.00 for fencing) and labor ($60 for 8 h in 2019), a net $6,818 USD per harvest acre reduction in income could be used to argue in favor of implementing this management technique (Table
Estimated crop (cucumber) revenue under different techniques to mitigate crop loss due to green iguana herbivory.
Management technique/ Cultivation strategy | Cucumber revenue (USD)/acre1 |
---|---|
Control (open field) | 4,429.30 |
Mesh fences | 13,461.80 |
Neem (Trilogy™ Certis USA) | 6,643.95 |
Our results suggest that Neem is ineffective at deterring green iguana herbivory and may lead to decreases in plant growth. We do not recommend the use of Neem as a mitigation technique for green iguana herbivory, as it does not lead to higher yields compared to those observed when no mitigation technique was used (i.e., control plots). The use of mesh fencing to protect crops from green iguana herbivory is effective at improving crop yield, although the effectiveness of this mitigation tactic may decrease over time. We observed green iguanas inside our fenced plots on multiple occasions. The reptiles were able to climb the fences, with some fenced treatments having more than one green iguana inside it at the same time (https://youtu.be/D7rIb71XF8Y). Weekly, or perhaps daily, maintenance of the fences is necessary throughout cultivation to ensure their integrity. To maintain fences in our experiment, we had to contend with weeds that would grow on our fence and pull it toward the ground, and heavy rains that washed soil away from the portion of mesh that was buried, resulting in the need to re-fit and seal gaps in the fences. At a farm, this would entail labor and material expenses that would need to be considered when scaling up to larger production. Durable fence material can be reused with careful planning to prevent knotting, which would reduce production costs. At larger scales, durability should be prioritized to ensure the investment in materials does not negate the revenue produced from seeking to increase yield. Methods to protect crops could be combined with other management techniques to further prevent crop loss such as done with other species (
Farmers should be provided with technical and financial assistance to implement green iguana mitigation strategies. This support might be particularly urgent for smaller farms that may suffer greater relative impacts. As documented here, the crop’s plants grown in plots on the edge of our site closer to the forest (Fig.
Our study focused on testing farm-level mitigation measures to decrease green iguana related crop loss. It is widely recommended, however, that preventing invasive species introduction altogether is a much more cost effective strategy than post-introduction management (
Materials and equipment for the project were provided in part by the USFS International Institute of Tropical Forestry. We thank all the staff of the Agricultural Extension Program of the University of Puerto Rico in Mayagüez for their generosity of time and physical effort in the design and implementation of our project. We thank agronomists Carlos Almodóvar Marchani and Ramon A. Couto Marrero for helping us to define the conceptual and technical needs before, during and after our fieldwork was completed. We thank Frankie Colón, Luis Acevedo, Carlos Abraham Silva, Manuel León and all of the field workers at the Agricultural Experimental Stations for their work in establishing and monitoring the experiment. We thank Marissa Reyes Díaz, Bayrex M. Rosa Alfonso and Efraín G. Martínez Cebollero for their technical expertise and for contributing to solve the day-to-day challenges of cultivating our crops. We thank Andrea Pimentel Rivera and Andrés J. González Nieves for their support in the field. We thank the staff at the International Institute of Tropical Forestry, Eva Holupchinski, Tania G. Díaz Camacho, Gary Potts, and Maya Quiñones Zavala for their support. We thank Judith Palmer and the administrative staff at the University of Rhode Island for their assistance. All research conducted by the International Institute of Tropical Forestry is performed in collaboration with the University of Puerto Rico. Protocols for the observation of vertebrate animals in this study were approved by the Institutional Animal Care and Use Committee at the University of Rhode Island (AN1819-022).
The authors have declared that no competing interests exist.
No ethical statement was reported.
This study was funded by the National Science Foundation’s Graduate Research Fellowship Pro-gram, the NSF Graduate Research Internship Program, the Dean’s Diversity Fellowship at Uni-versity of Rhode Island awarded to CDJV, and Hatch funding from the University of Rhode Is-land (project number RI0018-H016).
Conceptualization: JJK, CNDJV. Data curation: GPMP, CNDJV. Formal analysis: SVB, CNDJV, JJK. Funding acquisition: JJK, CNDJV. Investigation: GPMP, CNDJV, JJK. Methodology: CNDJV, SVB, JJK. Project administration: JJK, CNDJV. Resources: JJK, WG. Supervision: JJK. Visualization: SVB, CNDJV. Writing - original draft: JJK, CNDJV. Writing - review and editing: GPMP, WG, JJK, SVB, CNDJV.
Christina N. De Jesús Villanueva https://orcid.org/0000-0002-3309-3771
Steven M. Van Belleghem https://orcid.org/0000-0001-9399-1007
William Gould https://orcid.org/0000-0002-3720-9735
Jason J. Kolbe https://orcid.org/0000-0002-4236-9960
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Supplementary information
Data type: docx
A revision power analysis script R
Data type: R file
Revision statistical analysis script R
Data type: R file
Revision study data
Data type: csv