Method Article
This work outlines a simple experimental procedure to quantify behavioral drivers of foraging decisions in free-living animals, temporarily relocating mistletoe plants to novel locations and measuring visitation rates.
Fruiting mistletoes present a model system for understanding decisions made by foraging animals when locating food. Where, when, and how animals find food is central to many ecological questions, relating to the basis of individual foraging decisions and the extent to which these decisions are innate or acquired. Ecologists have paid particular attention to frugivores, quantifying their preference for fruits with specific shapes, colors, or scents, which, over evolutionary time, confer selection for suites of traits in their favored plants whose seeds they disperse.
This work outlines a novel experimental approach to manipulating food plant occurrence and measuring the response of wild, free-living animals, ideally suited to studying the evolutionary origin and ecological maintenance of seed dispersal. This "cut and paste" protocol involves removing an entire fruiting mistletoe plant from its host and either returning it to its original location or moving it to a novel location, affixing it to a 'pseudo-host' of the same or different tree species. By counting visits to the mistletoe and noting the duration, species, and behaviors, a series of comparisons can discern the most important factors affecting foraging decisions and the consequences for both plant and animal. Here, the protocol is illustrated with a case study to determine between-guild differences in mistletoe frugivory.
The experimental approach teases apart the mechanistic basis of search image formation and refinement, spatial learning, interspecific differences in foraging strategies, and how these changes modify seed dispersal effectiveness. Finally, potential modifications are considered with respect to addressing other questions on foraging ecology, plant-animal interactions, and coevolution.
How do animals find food? This is a deceptively simple question, integrating cognition, sensory perception, and metabolic demands with habitat structure, interspecific interactions, and variation in resource availability through space and time. Most of the conceptual advances in the understanding of this topic have come from studying captive animals, where resource quality, quantity, and accessibility can be manipulated1,2. While useful for establishing sensory capabilities, qualitative preferences, and nutritional qualities of food, captive methods do not reveal how animals fulfill these demands in the wild.
Early experimental studies on resource use by free-living animals sought to understand the lower bound of food availability an organism will reach before deciding to feed elsewhere (Charnov's marginal value theorem3). Known as "giving up density," this approach quantifies how much risk an animal is willing to tolerate - e.g., how few acorns per square meter a squirrel is prepared to leave behind when feeding in woodlands of differing densities where predators are variously detectable4. While this framework has been applied to a wide range of food resources and ecosystems, the necessarily constructed basis of the approach limits its application and can confound the interpretation of reported differences5. Further, determinants of giving up density relate more to vigilance, habitat preferences, and competition than foraging ecology (known collectively as the ecology of fear6). This approach is rarely able to capture the attractiveness of a food resource in the wild to a free-living animal. Hence, studies on frugivory are usually based on the observation of wild behavior with implications for both plant and animal being drawn from the resulting behaviors.
Foraging decisions made by frugivores when selecting fruit may hinge on many different traits expressed physically by the plant in terms of abundance, quality, and seasonal availability. How easy the fruits are to locate, consume, and pass through the gut also play a role in the selection by frugivores, making it tricky to separate the potentially learned behavior from the inherited. The current work introduces a new approach to manipulating resource availability and location to measure the response of wild, free-living animals as they forage in their natural habitat. This method is ideally suited to addressing questions regarding the cues different animals use to locate food—in the case showcased here, the energy-rich fruit of hemiparasitic mistletoe plants. The approach involves removing entire mistletoe plants from their host trees and relocating them to other trees of the same or different species.
Note that the case study presented focuses on fruit, frugivores, and the interaction between dietary breadth and the implications for seed dispersal. However, for work on nectarivores or folivores, the same approach can be applied to flowering mistletoes or non-reproductive mistletoes, respectively. Mistletoes are an ideal model to use for this approach, being found in woodlands and forests worldwide and visited by a wide range of animals7. In terms of fruit, although most research has focused on mistletoe fruit specialists that eat little else8, a large range of generalist frugivores and opportunists with a broader diet regularly consume mistletoe fruit9. Finally, their size, growth habit, and physiognomy make them especially amenable to experimental manipulation10.
Research in a semi-arid woodland system demonstrated that foliage density affected the apparency of mistletoes to fruit-eating birds11, but numerous questions remain unanswered. Do birds search for mistletoes or fruiting mistletoes? For those mistletoe populations dependent on a single host species, do birds preferentially search for the mistletoe or for their principal host? Do groups that forage primarily, occasionally, or opportunistically on mistletoe fruit use divergent cues to find mistletoe fruit?
To answer these questions and uncouple the influence of host identity, spatial context, and mistletoe location on bird visitation, a novel relocation protocol was devised; that experiment is used as a case study. The protocol is illustrated with step-by-step instructions to determine how birds locate fruit in a structurally complex woodland. In addition to exploring other questions readily addressed using this technique, consideration is given to how this method could be integrated with other ecological field methods to understand the mechanistic basis of foraging ecology in forest and woodland canopies.
The initial application of this experimental approach was to determine how birds find food in a heterogeneous woodland canopy by relocating entire mistletoe plants. This protocol spans 2 days—selecting the mistletoe on day 1 to manipulation, then affixing, observing, and detaching the mistletoe on day 2. Conduct replicate trials on successive days; select the mistletoe for the next trial on the second day of the first trial. In the illustrative case study, bird visitation to mistletoes was compared among three different host locations, referred to as treatments here.
To do this, a single fruiting Grey Mistletoe (Amyema quandang) plant was cut from its host plant and attached to one of the three locations: 1) its original host tree, 2) a pseudo-host tree, or 3) a novel host tree. The original host treatment maintained both the spatial location and the host identity constant while controlling for the effects of cutting. The psuedo-host treatment involved temporarily affixing the mistletoe to a different individual of the same species as the host (in this case study, Yarran (Acacia homalophylla)) but with few to no existing mistletoes to discern the roles of spatial memory versus host-association. The novel host, an individual of a different tree species that does not host mistletoes (for the case study site, White Cypress Pine (Callitris glaucophylla)) clarified whether the search image used by mistletoe fruit consumers relates to the mistletoe itself or the principal host.
This experimental protocol was developed and experimentally trialled under the provision of and abiding by the Animal Research Authority guidelines of the University of Technology Sydney (UTS ACEC 2013-745). The protocol does not require handling of animals. Native plants were experimentally manipulated under the permission of a National Parks and Wildlife scientific licence (SL101337).
1. Determine suitable site, species, and ethical considerations
2. Identify target individual mistletoe-host pairs
3. Cutting the mistletoe
4. Attaching (pasting) the mistletoe
5. Collect visitation data
6. Collect contextual data on the location of mistletoe plants
7. End-of-observation tasks
Data amounting to a total of 392 h of observation were collected across the 60 replicates, with 26 of the replicate mistletoes receiving visits from 15 species of birds. To determine whether the visiting birds preferred one treatment over another, visitation data were analyzed using generalized linear models (GzLMs)17 with negative binomial distributions (after18,19). Four variables were included as covariates: host height, host canopy cover, number of mistletoes on the host, and number of fruits on the treatment mistletoe. When just treatment was included in the model, there was a significant difference in the number of visits by birds to each of the mistletoe relocation treatments. The number of visits to the original host mistletoes was significantly higher than to either mistletoes relocated to pseudo-hosts or novel hosts (Table 1A). When the covariates, host canopy cover, and the number of fruits were included, the difference remained significant, but the habitat characteristics did not influence visitation (Table 1B). Thus, across all birds, spatial cues were more important than resource density, accessibility, or apparency, consistent with the inference that prior experience is more influential than proximate sensory cues in finding ripe fruit.
Source of variation | Wald chi-square | Degrees of freedom | Main effects | Direction of relationship |
A. Number of visits to three treatment mistletoes | ||||
Treatment | 11.246 | 2 | 0.004 | IS > SS; IS > DS |
B. Number of visits to three treatment mistletoes including habitat covariates | ||||
Treatment | 9.086 | 2 | 0.011 | IS > SS; IS > DS |
Host canopy cover | 1.759 | 1 | 0.185 | - |
Number of fruits | 0.189 | 1 | 0.664 | - |
Table 1: Models exploring the influence of treatment on the number of visits to treatment mistletoes. (A) Generalized linear models; Model (B) includes the host canopy cover and the number of fruits on the treatment mistletoes as covariates. Treatment mistletoes comprised one of the three treatments: In situ (IS), cut from the original host tree and reattached back in the same tree; Same Species (SS), moved to another pseudo-host tree of the same species as the original host; Different Species (DS), moved to a novel host species that never hosts Grey Mistletoe. Significance is shown in bold.
Source of variation | Wald chi-square | Degrees of freedom | Main effects | Interaction | Direction of relationship |
A. Number of visits to treatment mistletoes across guilds (specialist, generalist and opportunist)* | |||||
Dietary guild | 6.469 | 2 | 0.039 | - | - |
Treatment | 11.685 | 1 | 0.001 | - | IS > SS; IS > DS |
Treatment x dietary guild | 8.301 | 1 | - | 0.016 | Gen DS < Gen IS, SS |
B. Specialist visits to treatment mistletoes influenced by the number of fruits | |||||
Treatment | 2.743 | 2 | 0.254 | - | - |
Number of fruits | 11.086 | 1 | 0.001 | - | - |
C. Generalist visits to treatment mistletoes influenced by mistletoe density and canopy cover | |||||
Treatment | 13.764 | 1 | 0 | - | IS > SS |
Host canopy cover | 5.883 | 1 | 0.015 | - | - |
Number of mistletoes on the host tree | 9.679 | 1 | 0.002 | - | - |
D. Opportunist visits to treatment mistletoes influenced by host height and canopy cover | |||||
Treatment | 9.719 | 2 | 0.008 | - | IS > SS; IS > DS |
Host height | 4.203 | 1 | 0.04 | - | - |
Host canopy cover | 5.212 | 1 | 0.022 | - | - |
* negative binomial with log link |
Table 2: Generalized linear models for models comparing the number of visits to treatment mistletoes across dietary guilds, including various covariates. (A) overall dietary guild; (B) Specialist; (C) Generalists; (D) Opportunists. Treatment mistletoes were cut from their original host tree and either replaced in the same tree (In situ, IS), placed in a pseudo-host host of the same species as the original host (Same Species, SS), or placed in a novel host species that does not host mistletoe (Different Species, DS). Models used a Poisson error distribution with a log-linear link, unless otherwise indicated. Significance is shown in bold. * negative binomial with the log link.
To determine whether the dietary breadth of birds influenced their search strategy to locate fruiting mistletoe, dietary functional group (mistletoe specialist, generalist frugivore, and opportunist) were included as a second predictor alongside treatment. A median test was conducted to determine whether the three dietary guilds differed in the number of visits made to the treatment mistletoes. Further analyses were conducted separately for each functional group using a Poisson GzLM with a loglinear link, models created initially including the four selected covariates to find the best model. The resultant guild models were then compared for the overall fit to determine the set of covariates that were most influential for each different dietary group.
The specialist dietary guild included one species: Mistletoebird. The generalist frugivore guild included four species: Spiny-cheeked Honeyeater, Silvereye, Singing Honeyeater, and Striped Honeyeater. The opportunist guild included nine species: Splendid Fairy Wren, Inland Thornbill, Yellow Thornbill, Rufous Whistler, Australian (Mallee) Ringneck, Double-barred Finch, Grey Shrike-thrush, Noisy Miner, and Red-capped Robin. The mistletoe specialist visited treatment mistletoes on 19 occasions: there were 19 visits by generalist frugivores and 34 by opportunists. Visitation by the three guilds differed significantly after accounting for visits to treatment mistletoes, and there was a significant interaction between guild and treatment (Table 2A). The generalists visited the original host mistletoes significantly more than the pseudo-host or novel host mistletoes.
Specialist visitation did not significantly differ among treatments; however, the number of fruits was positively related to visitation frequency (P = 0.001; Table 2B). The number of fruits on treatment mistletoes was not significantly different across treatments (one-way ANOVA: F (2, 56) = 0.266, P = 0.768).
The individual model for generalist frugivores excluded novel host treatment mistletoes as no visits by generalists were recorded at those mistletoes by this dietary group (Table 2B). The best model included host canopy cover and the number of mistletoes on the host tree as covariates. Generalist frugivores visited the original host mistletoes significantly more than they visited the pseudo-host mistletoes (Table 2C). The percentage of host canopy cover and the number of mistletoes on the host tree significantly influenced the visiting generalists as main effects (Table 2C).
The best individual model for opportunists included host height and host canopy cover as covariates. Opportunists visited original host mistletoes significantly more than they visited the pseudo-host or novel host mistletoes and were significantly influenced by the height and canopy cover of the host tree (Table 2D).
Figure 1: Grey Mistletoe (Amyema quandang) in different stages of removal. (A) A mistletoe being removed from its host by cutting below the haustorium with a cleaned pruning saw, and (B) detail of the same mistletoe removed from the host complete with the distal end of the host branch. (C) The three main branches of another, larger mistletoe clump removed from the haustorium; (D) Detail of the three branches showing the cable ties affixing them to one another. Please click here to view a larger version of this figure.
Figure 2: Grey Mistletoe (Amyema quandang) in three different treatments. (A) In situ mistletoe before being removed from its Yarran (Acacia homalophylla) host, and then replaced in its original location. (B,C) Different species treatment mistletoe after being removed from its original host and relocated in this White Cypress tree (Callitris glaucophylla). (D) Same species mistletoe after being removed from its original host and relocated to a new Yarran tree already hosting other mistletoes. Treatment mistletoes circled in red. Please click here to view a larger version of this figure.
This novel method represents a cost-effective means of understanding the mechanistic basis of foraging differences among species and feeding guilds, revealing the critical role of prior learning and spatial awareness in determining how birds find ripe fruit in structurally complex environments. By uncoupling spatial location from other proximate cues, it was possible to demonstrate that generalist frugivores visit plants in known locations, rather than relying on associations with particular habitats, whereas specialists used more proximate cues of resource availability regardless of the spatial context.
These findings lead to the next question of how and when do foraging birds develop this memory, and how much of a role does it play in the pattern of seed dispersal that drives the spatial pattern of mistletoe occurrence in the landscape? Although this case study used direct observation to collect visitation data, the protocol described herein could be readily applied using motion-triggered cameras20,21, allowing simultaneous monitoring of multiple sets of mistletoes and yielding new insights into between-species, -guild, -habitat, and -biome differences.
Several refinements are worth considering to maximize data quality, comparability, and ease of application. First, recognize that wild animals can respond both positively and negatively to novelty; hence, be careful to minimize any extraneous changes to their environment both in establishing the experiment and during data collection. By conducting mistletoe relocation predawn, any disturbance to diurnal animals will be minimized. Although logistically more challenging, it appeared that birds were more likely to visit plants if they had been affixed in the dark22, presumably due to disturbance from movement. Second, minor details can be surprisingly important. Trim off the ends of the zip ties, wear dull clothing, and keep all movements to a minimum, especially during data collection. For studies on fruit removal and seed dispersal, as ripe fruits are readily knocked off the peduncle, count fruits after the mistletoes are relocated. Additionally, check the ground after each period of collecting visitation data for fruit caps on the ground, indicative of fruit removal.
Although these representative results and overarching question are related to fruit removal, this protocol could be readily applied to address questions regarding nectarivores and pollination or folivores and arboreal herbivory. In addition to manipulating mistletoe locations (e.g., high vs low to quantify herbivory from ground-based vs arboreal herbivores; in situ vs translocated mistletoes to quantify the influence of resident and transient nectarivores in effecting short- and long-distance pollen transport), resource density can also be manipulated. Thus, by making high- and low-resource density patches by manipulating mistletoe densities and/or flower/fruit/leaf numbers, different resource-use strategies can be discriminated. By integrating these experiments with before and after measurements of the relevant resource, giving up densities can also be estimated, enabling resultant inferences regarding foraging ecology to be contextualized within the broader framework of habitat preferences and predator vigilance.
The authors acknowledge that they have no competing financial interests in the pursuit or publication of this research.
The authors recognize John Rawsthorne for initially proposing the cut and paste protocol. Many thanks to the numerous volunteers who dedicated their time to observing the birds. This research was funded by the University of Technology Sydney, Charles Sturt University, Birdlife Australia, and the Ecological Society of Australia as part of a Masters (research) degree.
Name | Company | Catalog Number | Comments |
Alcohol cleansing pads | Forestry Suppliers | 25557 | SmartCompliance First Aid Cabinet Refill |
Ladder | Forestry Suppliers | 90905 | Telesteps 12.5’ Telescopic Ladder |
Motion-triggered camera | Forestry Suppliers | 91269 | Reconyx HF2X HyperFire 2 Camera |
Nylon cable ties | Forestry Suppliers | 17032 | Black is the preferred color |
Pruning Saw | Forestry Suppliers | 81154 | Folding model is preferred to minimize injury, with pole mounted saws advisable if ladders cannot be used to accesss high plants |
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