Research Article |
Corresponding author: Michael A. Tabak ( mtabak@uwyo.edu ) Academic editor: Daniel Sol
© 2015 Michael A. Tabak, Sally Poncet, Ken Passfield, Carlos Martinez del Rio.
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:
Tabak MA, Poncet S, Passfield K, Martinez del Rio C (2015) Modeling the distribution of Norway rats (Rattus norvegicus) on offshore islands in the Falkland Islands. NeoBiota 24: 1-16. doi: 10.3897/neobiota.24.8433
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Non-native rats (Rattus spp.) threaten native island species worldwide. Efforts to eradicate them from islands have increased in frequency and become more ambitious in recent years. However, the long-term success of some eradication efforts has been compromised by the ability of rats, particularly Norway rats (Rattus norvegicus) which are good swimmers, to recolonize islands following eradications. In the Falkland Islands, an archipelago in the South Atlantic Ocean, the distance of 250 m between islands (once suggested as the minimum separation distance for an effective barrier to recolonization) has shown to be insufficient. Norway rats are present on about half of the 503 islands in the Falklands. Bird diversity is lower on islands with rats and two vulnerable passerine species, Troglodytes cobbi (the only endemic Falkland Islands passerine) and Cinclodes antarcticus, have greatly reduced abundances and/or are absent on islands with rats. We used logistic regression models to investigate the potential factors that may determine the presence of Norway rats on 158 islands in the Falkland Islands. Our models included island area, distance to the nearest rat-infested island, island location, and the history of island use by humans as driving variables. Models best supported by data included only distance to the nearest potential source of rats and island area, but the relative magnitude of the effect of distance and area on the presence of rats varied depending on whether islands were in the eastern or western sector of the archipelago. The human use of an island was not a significant parameter in any models. A very large fraction (72%) of islands within 500 m of the nearest potential rat source had rats, but 97% of islands farther than 1,000 m away from potential rat sources were free of rats.
Invasive species; eradication; Rattus norvegicus; metapopulation
Introduced species can have detrimental consequences for native island communities (
Norway rats (Rattus norvegicus) were introduced to the Falkland Islands (or “Falklands”) in the 18th century (
The presence of rats in the Falkland Islands is associated with a significant reduction in the diversity and abundance of passerine birds (
Since 2001, 66 islands in the Falklands have been successfully treated for rat eradication. However, rats have reinvaded 10 of the islands from which they were eradicated (
Here we examined the relationship between the presence of Norway rats and island characteristics in the Falkland Islands. To guide our analyses, we conceived of rats in the Falklands as a metapopulation in which island sub-populations are linked by dispersal, and in which the presence of rats is determined by the balance between colonization and extinction among islands (
Two bird species of conservation concern in the Falkland Islands. Cobb’s wren (A) and Tussacbird (B) are both highly vulnerable to the presence of rats. Protecting these species from local extinction requires effective management in the Falkland Islands, including the eradication of Norway rats.
Evidence for rat reinvasion following eradication. Gnawed chewsticks (A, right) and rat tracks (B) indicate that an island has been reinvaded by rats. Chewsticks are wood pieces soaked in edible oil. They are useful and cost-effective tools used to determine if an eradication attempt was effective at removing rats and to determine if rats have returned to an island after a successful eradication.
Our analysis included 158 islands, 56 of which had rats and 102 of which had no evidence of rats (Fig.
Data for human activity on each island were obtained from the Falkland Islands Biodiversity Database (
To determine if island location had an effect on the probability of rat occupancy, we allocated islands to one of two geographical sectors: western or eastern. We separated the islands into sectors by measuring the straight-line distance between each island (i) and East Falkland (e) and West Falkland (w) using maps published by the Directorate of Overseas Surveys (1961) with a resolution of 1:50,000. If the distance from island i to East Falkland (Die) was less than the distance to West Falkland (Diw), we assigned this island to the eastern sector. If Diw < Die, we assigned island i to the western sector. For each island, we identified the nearest rat source (or potential source) by measuring the straight-line distance from each island (i) to the nearest rat-infested island (j) and the second-nearest rat infested island (k) using maps published by the Directorate of Overseas Surveys (1961) with a resolution of 1:50,000.
To identify the most important variables that predict rat distribution in the Falkland Islands, we constructed a collection of nested generalized linear models (GLMs) using rat presence or absence as response variables. The full and most complex model included as independent variables the following four factors: log2-transformed distance to the nearest rat-infested island (Log2Dist), log10-transformed island area (Log10A), human use (HumUse), and geographic sector (eastern or western; West). Because island area ranged from 1 to over 5,000 ha, we log-transformed data using base 10. This transformation allowed us also to compare graphically with data on other islands and in other publications (log10 is traditionally used in island biogeography studies;
Distribution map of Norway rats in the Falkland Islands. Islands with rats (red points) appear in clusters. We hypothesize that rats are able to move between islands that are geographically close. Islands without rats (blue points) are typically farther from the mainland (East and West Falkland). Islands were assigned to geographic sectors based on their location: islands closer to West Falkland are in the western sector, while islands closer to East Falkland are in the eastern sector.
We found that rats were present on 5 of the 10 islands that were surveyed repeatedly. On islands where rats or their sign were found to be present, rats (or their sign) were detected in each of the 5 repeated surveys. They were not found in any repeated surveys of islands determined to be rat-free. Therefore, the detection probability of rats in the Falkland Islands can be assumed to be close to 100%.
The model best supported by the data included an effect of distance to the nearest rat-infested island, island area, and geographical sector (Table
In the western sector, the odds of rat presence increased by a factor of about 8.9 for each 10-fold increase in island area. In the eastern sector, the best model did not include an effect of island area. The effect of swim distance differed between eastern and western sectors. In the east, for every doubling of the distance to the nearest rat-infested island the odds of rat presence decreased by a factor of 0.36, whereas in the west, doubling the distance to the nearest rat source decreased the odds of rat occupancy by a factor of 0.09.
Models predicting the Probability of rat presence (π).
Model | AICC | ∆AICC | N-R2 |
---|---|---|---|
logit (π) = 12.67 - 1.42*Log2Dist + 0.80*West + 0.54* Log10A - 0.34* (Log2Dist - 10.25)X(Log10A - 1.29) | 118.78 | 0 | 0.62 |
logit (π) = 11.55 - 1.36* Log2Dist + 0.78*West + 0.83* Log10A | 119.48 | 0.7 | 0.61 |
logit (π) = 12.26 - 1.42* Log2Dist + 0.60*West + 0.84* Log10A - 0.24*(LogDist - 10.25)XWest | 120.42 | 1.64 | 0.61 |
logit (π) = 11.53 - 1.36* Log2Dist + 0.79*West + 0.82* Log10A + 0.02*HumUse | 121.61 | 2.83 | 0.61 |
logit (π) = 11.90 - 1.41* Log2Dist + 0.84*West + 0.92* Log10A - 0.38* (Log10A - 1.29)XWest | 123.34 | 4.56 | 0.62 |
Models predicting the Probability of rat presence (π) for the west half of the archipelago.
Model | AICC | ∆AICC | N-R2 |
---|---|---|---|
logit (π) = 27.49 - 2.91* Log2Dist + 1.75* Log10A - 0.92* (Log2Dist - 1.45)X(Log10A - 10.75) | 32.84 | 0 | 0.84 |
logit (π) = 20.66 - 2.36* Log2Dist + 2.19* Log10A | 33.91 | 1.07 | 0.82 |
logit (π) = 14.19 - 1.45* Log2Dist | 46.05 | 13.21 | 0.69 |
logit (π) = -0.34 - 0.02* Log10A | 93.49 | 60.65 | 0.0003 |
Models predicting the Probability of rat presence (π) for the east half of the archipelago.
Model | AICC | ∆AICC | N-R2 |
---|---|---|---|
logit (π) = 8.72 - 1.02* Log2Dist | 82.93 | 0 | 0.44 |
logit (π) = 8.72 - 1.07* Log2Dist + 0.42* Log10A | 83.34 | 0.41 | 0.46 |
logit (π) = 10.11 - 1.18* Log2Dist + 0.12* Log10A - 0.36* (Log2Dist - 9.89)X(Log10A - 1.78) | 83.76 | 0.83 | 0.48 |
logit (π) = -0.71 + 0.021* Log10A | 117.27 | 34.34 | 0.0001 |
Models for rat distribution included distance to the nearest rat source and island size. This figure presents the fraction of islands of a given size (bubble size is proportional to island size) predicted to have rats by our models as a function of distance to the nearest rat source. Colors of dots represent islands with (red) or without rats (blue). In both the west and east of the Falkland archipelago, the probability of rat presence on an island decreased with distance to the nearest rat-infested island. There was a higher probability of rat presence in the western sector than in the eastern sector and in the west rats were more likely to be found on larger than on smaller islands. In the east, there was no significant effect of island area on rat occupancy. Black dots (± SE) represent the fraction of islands with rats binned in groups of 500 m of swim distance.
Proportion of islands occupied by rats at different distances from the nearest source.
Distance between islands (m) | Percent of islands occupied rats (%) |
---|---|
< 500 | 72 |
500–1,000 | 40 |
≥ 1,000 | 3 |
Our results indicate that the incidence of rats decreased with distance to the nearest rat-infested island. Also, for islands in the western sector of the archipelago, we found that the probability of rat occupancy increased with island area. In the eastern sector, we did not find a significant effect of island area on rat presence. Human activity did not appear to be a significant variable in the models, suggesting that it is not as important in determining the distribution of rats as distance from sources and island area. Here we consider the possible processes that might have produced these patterns. Specifically, we explore whether the observed patterns might be shaped by the balance between colonization and extinction as the classical metapopulation model suggests (
The models that we used to analyze the factors that determine the presence of rats in the Falkland Islands are descriptive. They document patterns, but by themselves, they do not reveal the processes that create them (
As predicted by all classical metapopulation models (
Although rats likely colonize islands and go locally extinct on islands, we doubt that the patterns of rat distribution revealed by our dataset are solely the steady state outcome of colonization and extinction. It is likely that these processes continue to occur, but it is also likely that the patterns that we have documented are the result of the interplay of environmental factors, both contemporary and historical. Nevertheless, human activity was not a significant variable in the models, suggesting that it is less important than distance to sources and island area.
The swimming abilities of rats are poorly understood but remarkably important, because they determine whether and when rats will reinvade islands that have been eradicated (
These results are surprising as the swimming endurance of rats decreases with water temperature and sea-surface temperatures in the Falkland Islands are cold (ranging from 2 °C in winter to 10° C in summer; Otley et al. 2008). At those temperatures, rats in the laboratory can only swim for less than 10 minutes (reviewed by
Norway rats have reinvaded islands following eradications in the Falklands and in other archipelagoes. For example, three species of rats were eradicated from Perl Island, New Zealand in 2005 and Norway rats re-established a population across the island by 2007 (
Our models suggest that islands farther than 1,000 meters from the nearest rat-infested islands have a low probability (less than 0.05) of having rats, and hence of having been invaded. Indeed, of the 69 islands that are farther than 1,000 m from the nearest rat source in our dataset, only 2 have rat populations. We think that 1 km away from the nearest rat source is a reasonable threshold for eradication. This threshold does not guarantee that these islands will remain rat-free in perpetuity, but it represents a reasonable threshold that ensures a low probability of reinvasion after eradication (
Our data confirm the ability of rats to disperse among islands that are close to each other. If two or more islands are sufficiently close to each other as to have a high probability of reciprocal re-invasion, from a management perspective, these islands form a single “eradication unit,” requiring simultaneous baiting (
Eradication of invasive rats can be an effective conservation tool, but the propensity of rats to return to islands following eradication can hamper the effectiveness of this strategy. We found, by modeling the distribution of Norway rats in the Falkland Islands, that rats are capable of moving, presumably by swimming, between islands. When we compared our estimate with the literature, we conclude that rats are unlikely to move distances of greater than 830-1,000 m between islands in the Falklands. We suggest the use of this distance for future eradication plans.
MT was funded by NSF Grant #0841298. We would like to thank Nick Rendell for permission to use data from the Falkland Islands Biodiversity Database. The comments of Jake Goheen and one anonymous reviewer benefitted previous versions of this manuscript.