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Limited influence of experimentally induced predation risk on granivory in a tropical forest

Published online by Cambridge University Press:  21 February 2022

Alys Granados*
Affiliation:
Department of Zoology, University of British Columbia, Vancouver, BC, Canada
Henry Bernard
Affiliation:
Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
Jedediah F. Brodie
Affiliation:
Division of Biological Sciences and Wildlife Biology Program, University of Montana, Missoula, MT, United States
*
Author for correspondence: Alys Granados, Email: alysgranados@gmail.com
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Abstract

Seed predation by rodents can strongly influence plant recruitment and establishment. The extent to which predation risk indirectly alters plant survival in tropical forests via impacts on granivory is unclear, making it difficult to assess the cascading impacts of widespread predator loss on tree recruitment and species composition. Experimental field studies that manipulate predation risk can help address these knowledge gaps and reveal whether antipredator responses among small mammals influence plant survival. We used camera traps and seed predation experiments to test the effects of perceived predation risk (via predator urine gel) on foraging behaviour of and seed removal by murid rodents in an unlogged and unhunted rainforest in Malaysian Borneo. We also explored the influence of seed traits (e.g., seed size) on removal by granivores and assessed whether granivore preferences for particular species were affected by predator urine. Murid visits to seed plots were positively related to overall seed removal, but were not affected by predator scent. Granivory was the lowest for the largest-seeded (>6 g) plant in our study, but was not influenced by predation risk. Predator urine significantly affected removal of one seed taxon (Dimoocarpus, ∼0.8 g), suggesting that removal by granivores may be affected by predation risk for some seed species but not others. This could have implications for plant species composition but may not affect the overall level of granivory.

Type
Short Communication
Copyright
© The Author(s), 2022. Published by Cambridge University Press

Introduction

Murid rodents are among the most abundant granivores in tropical forests and can influence seed fate by consuming or destroying seeds and by dispersing them to different microhabitats (Wells & Bagchi Reference Wells and Bagchi2005). Murids can influence species-specific seed survival (Hautier et al. Reference Hautier, Saner, Philipson, Bagchi, Ong and Hector2010) if foraging decisions are associated with dietary preferences based on seed morphology (Dirzo & Mendoza Reference Dirzo and Mendoza2007, Cramer Reference Cramer2014). Predator-induced changes in granivory could therefore affect seed survival (Laundré et al. Reference Laundré, Hernández, Medina, Campanella, López-Portillo, González-Romero, Grajales-Tam, Burke, Gronemeyer and Browning2014, Bestion et al. Reference Bestion, Cucherousset, Teyissier and Cote2015) with disproportionate effects on seeds with particular morphological traits (Xiao et al. Reference Xiao, Wang, Harris and Zhang2006, Forget & Jansen Reference Forget and Jansen2007, Bricker et al. Reference Bricker, Pearson and Maron2010). Most of what we know about these processes, however, comes from temperate systems; the indirect effects of predators on seed survival via impact on granivorous rodents in tropical forests are much less well known.

Predator scent can elicit physiological and behavioural changes in prey (Apfelbach et al. Reference Apfelbach, Blanchard, Blanchard, Hayes and McGregor2005, Takahashi et al. Reference Takahashi, Nakashima, Hong and Watanabe2005, Sündermann et al. Reference Sündermann, Scheumann and Zimmermann2008). Rodents often use scents (e.g., from urine) to gauge predation risk (Rosell Reference Rosell2001, Apfelbach et al. Reference Apfelbach, Blanchard, Blanchard, Hayes and McGregor2005, Ferrero et al. Reference Ferrero, Lemon, Fluegge, Pashkovski, Korzan, Datta, Spehr, Fendt and Liberles2011, Bytheway et al. Reference Bytheway, Carthey and Banks2013) and may spend less time eating seeds or exhibit increased vigilance in riskier microhabitats (Lima & Dill Reference Lima and Dill1990). In some cases, the indirect effects of predation risk may be as strong as direct reductions in prey abundance for plant survival (Hernández & Laundré Reference Hernández and Laundré2005, Preisser et al. Reference Preisser, Bolnick and Benard2005). Though the effects of predator scent on prey foraging behaviour have been documented, whether predator-induced changes in foraging translate into altered seed removal, and survival has not been well explored in tropical systems.

Methods

We used motion-triggered, infrared cameras (Reconyx HC500) and field experiments to test whether simulated predator presence affected visitation and seed removal rates of murid rodents in Danum Valley Conservation Area (DVCA; N5.10189°, E117.688°), Sabah, Malaysian Borneo. DVCA (438 km2) is the largest primary dipterocarp forested area in Sabah and is a Class 1 (‘Totally protected’) Forest Reserve with prohibited resource extraction (Hazebroek et al. Reference Hazebroek, Adlin and Sinun2012). Murid rodents (> 27 species) are the main mammal granivores, mostly from the genera Rattus and Maxomys (Phillips & Phillips Reference Phillips and Phillips2016). Bearded pigs (Sus barbatus), lesser (Tragulus napu) and greater (T. javanicus) chevrotains, and red (Muntiacus muntjac) and Bornean yellow (M. atherodes) muntjac also occur in the system and eat seeds. All vertebrate species detected in our study area are listed in Supplementary Material Figure S1.

We simulated predator presence using bobcat (Lynx rufus) urine gel (Bobcat P-Gel, PMart, Sandy Point, ME) at 10 paired experimental stations ca. 500 m apart (> the average daily movement of rodents in our site; Wells et al. Reference Wells, Pfeiffer, Lakim and Kalko2006). Each station contained two 1 × 1 m quadrats (treatment and control) spaced 50 m apart (i.e., within broadly similar microhabitat conditions), with one camera trap overlooking each quadrat. We placed 5 g of urine gel in the treatment quadrats at several locations (Figure 1) and left the control quadrats unmodified. Cameras were active 24 hours per day and set to take 10 photos in rapid-fire succession upon triggering, with high trigger sensitivity and no quiet period between triggers.

Figure 1. Experimental design used to test the effect of predator olfactory cues on murid rodent foraging behaviour. Each site consisted of one camera station with urine gel placed on the edges and corners of the quadrat (‘treatment’; A), and another camera station ∼ 50 m away with no urine-gel (‘control’; B). Four seeds from each of four plant taxa were placed in each plot: Elaeis (E), Cucurbita (C), Dimocarpus (D), and Nephelium (N). ‘X’ denotes the locations where the urine gel was applied in the experimental quadrat.

At each quadrat, we placed four seeds from each of four plant species, for a total of 16 seeds, 20 cm from plot edges and from adjacent seeds. Seed order was random, but conspecifics were not placed next to each other. Seeds were set out for four days, after which removal was determined by our field team counting the number of seeds missing from each plant taxon, with removal attributed to all granivores. We used camera trap photograph to determine seed removal by rodents in particular, with removal events considered independent when a photograph showed a rodent handling or removing seed and subsequent photographs showed a rodent with no seeds in its feet or mouth.

We used seeds from four plant genera varying in seed size: pumpkin (Cucurbita pepo; mean seed mass = 0.25 g), longan (Dimocarpus longan; 0.78 g), rambutan (Nephelium lappaceum; 1.00 g), and oil palm (Elaeis guineensis; 6.61 g). E. guineensis is native to Africa, but rodents are known to prey on seeds of this species in Southeast Asia (Buckle et al. Reference Buckle, Chia, Fenn and Visvalingam1997). C. pepo is native to North America, but Cucurbita spp. are known to be eaten by murids including Rattus spp. and Mus spp., both of which occur in our system (de Guia & Quibod Reference de Guia and Quibod2014). Dimocarpus and Nephelium are in the Sapindaceae family, whose seeds are eaten by murid rodents in Borneo (Blackham & Corlett Reference Blackham and Corlett2015).

Data analysis

We used a generalised linear mixed-effects models (GLMM) with Poisson error distributions to compare the number of independent murid detections between treatment and control sites. We used camera trap station ID as a random intercept (a factor with 10 levels representing each treatment and control pair) to account for microhabitat differences among camera trap stations that may have affected small-scale habitat selection (Bowers & Dooley Reference Bowers and Dooley1993, Mayor et al. Reference Mayor, Schneider, Schaefer and Mahoney2009). The number of independent murid detections was estimated from camera trap photos; detections were considered independent if they were separated by any non-murid species or were >5 minutes apart.

Next, we used a GLMM with binomial error distributions to model overall seed removal (by all granivorous taxa) as a function of two explanatory variables: the number of murid rodent detections and treatment. Here, the fate of each seed at the end of our study period was categorised as present or absent (i.e. seed removal, determined by our field team), and paired camera station ID was modelled as the random intercept.

To determine if seed removal by rodents in particular was influenced by predator scent, we used GLMMs with a binomial error distribution to model the overall proportion of seeds removed by rodents as a function of experimental treatment. We assessed overall removal as we could not distinguish between seed species being removed or handled by rodents in camera trap photographs. As before, camera station ID was used as the random effect. The presence of large-bodied granivores (i.e., bearded pigs) could have affected murid visitation to seed quadrats and seed removal (Keesing Reference Keesing1998), so we also ran a separate GLMM with the same model structure but excluded data from all quadrats visited by bearded pigs.

Finally, we examined if seed removal varied among seed species. We tested whether removal (by all granivores) differed among seed taxa (Cucurbita, Dimocarpus, Nephelium, and Elaeis) and whether predator scent had any effect on removal. First, we assessed seed removal (a binary response: seed present or missing from the quadrat at the end of the study) as a function of seed species and treatment. We used a post hoc Tukey test to compare seed removal between seed species. Finally, we ran separate GLMMs for each plant taxon, modeling individual seed removal caused by any animal (missing versus present) for each species, as a function of treatment and of murid rodent detections. For all models using species-specific removal as the response, we modelled overall removal (i.e., due to murids or non-murids), rather than seed removal by rodents per se because we were unable to distinguish seed species in the camera trap photos. For both types of analysis of species-specific seed removal, paired camera station ID was included in models as the random intercept.

All regression models were run using the lme4 package (Bates & Maechler Reference Bates and Maechler2011) in R 3.3.2 (R Core Team 2018). The R package Performance was used to check for multicollinearity (Lüdecke et al. Reference Lüdecke, Ben-Shacar, Patil, Waggoner and Makowski2021). Only covariates with low or moderate correlation were retained in analyses. Comparisons of seed removal between species were performed using the emmeans package in R (Lenth Reference Lenth2020).

Though our model, predator species is not native to the study region, bobcats are potent predators of rodents elsewhere (Neale & Sacks Reference Neale and Sacks2001, Thornton et al. Reference Thornton, Sunquist and Main2004), and their urine is a valid proxy for rodent predation risk for several reasons. Rather than responses conditioned to specific predators, prey species typically have innate, generalized responses towards predators in general (Hayes et al. Reference Hayes, Nahrung and Wilson2006). Predator scent recognition is innate in murid rodents, and bobcat urine has been used in experiments measuring changes in rodent foraging (Orrock et al. Reference Orrock, Danielson and Brinkerhoff2004) and behaviour (Fendt Reference Fendt2006). Completely predator-naive laboratory rats (which, like the species we studied, are from the Muridae family but not sympatric with bobcats anywhere) have been shown to respond defensively to bobcat urine despite having spent their whole lives in captivity (Fendt Reference Fendt2006). Lab rat responses may differ somewhat from those of murids in nature, but studies with captive animals suggest they exhibit broadly similar responses to those under natural conditions (Apfelbach et al. Reference Apfelbach, Blanchard, Blanchard, Hayes and McGregor2005). Non-sympatric predator scents elicit behavioural changes in other murid species as well (Bramley & Waas Reference Bramley and Waas2001, Dielenberg & McGregor Reference Dielenberg and McGregor2001, Carthey & Banks Reference Carthey and Banks2016). Therefore, we were satisfied that bobcat urine could serve as a valid ‘model predator’ scent cue, given that urine from predators native to the study area (e.g., leopard cats, Prionailurus bengalensis) was not available.

Results

Murid visits to seed plots were similar between control and treatment sites (βtreatment = 0.270, SE = 0.247, df = 17, P = 0.261). Overall, seed removal by all granivores (i.e., murids and non-murids) was higher in predator urine quadrats (βtreatment = 0.662, SE = 0.263, df = 317, P = 0.036

On average, murids removed 1.7 seeds (SD = 2.70) across all quadrats, but the proportion of seeds removed was not significantly influenced by predator scent (βtreatment = 0.652, SE = 0.411, df = 17, P = 0.113; Figure S2). In the absence of bearded pigs, average seed removal (by all other taxa, not just rodents) was 2.54 seeds (SD = 3.33) per site and removal by murids did not differ between treatment and control sites (β = 0.690, SE = 0.475, df = 8, P = 0.146).

Seed removal by all granivores (including camera sites visited by bearded pigs) varied across plant taxa. Removal of seeds of all other plant taxa was more frequent than that of Elaeis Cucurbita = 5.298, SE = 0.752, df = 313, P < 0.001; β Dimocarpus = 3.177, SE = 0.517, df = 313, P < 0.001; β Nephelium = 1.973, SE = 0.467, df = 313, P < 0.001). Results for comparisons of removal between species are shown in Table S1. Removal of Cucurbita seeds was higher than that of all other species (Figure 2). Rodent visits were not significantly related to removal rates in any of the genera (P > 0.06; Table S1). Seed removal in Elaeis was marginally significantly associated with rodent visits (βMurid = 0.512 SE = 0.264, df = 76, P = 0.052, Table S2) but, after excluding an outlier, there was no apparent effect (βMurid = 0.269, SE = 0.375, df = 72, P = 0.474). Dimocarpus was the only taxon for which seed removal was affected by predator scent; removal was higher at sites with predator urine (βtreatment = 2.002, SE = 0.878, df = 76, P = 0.023, Table S2).

Figure 2. Mean (±SE) proportion of seeds removed from treatment (predator urine gel) and control (no gel) plots in Danum Valley, Sabah, Malaysia. Removal was by all granivorous species combined. Seed removal was the lowest and the highest for the largest-seeded (Elaeis) and smallest-seed (Cucurbita) plants, respectively, in our study.

Discussion

Predator scent did not influence murid rodent visits to camera stations. The lack of difference in rodent visitation between treatments suggests that the perceived level of predation risk associated with our deployment of bobcat urine gel was insufficient to cause granivores to avoid the sites. Other studies have demonstrated murid foraging responses to predator scent, including from non-native predators (Wolff Reference Wolff2004, Apfelbach et al. Reference Apfelbach, Blanchard, Blanchard, Hayes and McGregor2005, Ramp et al. Reference Ramp, Russell and Croft2005, Carthey & Banks Reference Carthey and Banks2016). The lack of treatment effects that we observed could simply demonstrate that the perceived level of predation risk was not sufficient to alter foraging behaviour, such that food rewards outweighed potential risks of foraging in ‘predator’ plots. Trait-mediated predation effects are known in some systems (Schmitz et al. Reference Schmitz, Krivan and Ovadia2004, Preisser et al. Reference Preisser, Bolnick and Benard2005) but may be far from ubiquitous. Indeed, predators often have no detectable influence on prey distributions (Brodie & Giordano Reference Brodie and Giordano2013). Even when prey do avoid predators spatially, avoidance movements are often very temporary, rendering changes in overall foraging patterns negligible (Kauffman et al. Reference Kauffman, Brodie, Jules and Url2013, Brodie et al. Reference Brodie, Aslan, Rogers, Redford, Maron, Bronstein and Groves2014). It is possible that rodents only respond to predator scent immediately after application and that the perceived risk decreases as the urine is masked by other scents in the environment (McFrederick et al. Reference McFrederick, Fuentes, Roulston, Kathilankal and Lerdau2009, Bytheway et al. Reference Bytheway, Carthey and Banks2013). However, rodents visited our stations throughout the study period (including immediately after gel application), suggesting that any temporal changes in urine gel potency did not influence rodent behaviour. Changes in granivore responses to predator odors could be context-dependent, varying with extrinsic factors such as temperature and weather (Herman & Valone Reference Herman and Valone2000, Orrock & Danielson Reference Orrock and Danielson2009). Finally, food availability (i.e., seed density) could influence animal willingness to forage as well as how much food they would consume in habitats perceived as risky (Brown et al. Reference Brown, Morgan and Dow1992). Overall, rodent food availability in our system may have been high as our study took place during a dipterocarp tree masting event providing known rodent food (Phillips & Phillips Reference Phillips and Phillips2016).

Seed removal by rodents was unaffected by predator urine, but removal by all granivores combined varied with seed species and may have been influenced by seed traits. Granivores may prefer certain seed types depending on energy content (Xiao et al. Reference Xiao, Wang, Harris and Zhang2006), handling time, body-to-seed-size ratio (Muñoz & Bonal Reference Muñoz and Bonal2008), toxicity, or morphology (Myster & Pickett Reference Myster and Pickett1993, Hulme & Benkman Reference Hulme, Benkman, Herrera and Pellmyr2002). We found that removal rates varied among plant genera, suggesting that seed traits might influence granivore dietary preference. Although larger seeds provide more energy (Charnov Reference Charnov1976, Mack Reference Mack1998, Brewer Reference Brewer2001), the largest seeds in our experiment (Elaeis) were removed least often, while the smallest (Cucurbita) were removed most often. Therefore, granivores in DVCA might prefer smaller seeds because of reduced handling times (Dirzo & Mendoza Reference Dirzo and Mendoza2007, Muñoz & Bonal Reference Muñoz and Bonal2008, Wang et al. Reference Wang, Ye and Chen2013). If removal was driven by seed size, low Elaeis removal could point to a dietary size threshold for seed predators, whereby granivory has a greater negative effect on seeds below a certain weight (Dirzo & Mendoza Reference Dirzo and Mendoza2007, Perez-Ramos et al. Reference Perez-Ramos, Garcia-De La Cruz and Gomez-Aparicio2017). Also, granivores may have perceived the added time spent handling large Elaeis seeds in high-risk treatment quadrats as too high relative to energetic gains (Lima & Bednekoff Reference Lima and Bednekoff1999, Dirzo & Mendoza Reference Dirzo and Mendoza2007). Foraging for small seeds may be perceived as less risky, even in the presence of predators.

Conclusion

The use of predator scent to simulate predation risk can reveal how prey species perceive risk in the environment and how any subsequent changes in foraging behaviour might affect plants. Large-scale experiments could provide more insight into how widespread loss of top predators might indirectly affect plant communities. Future studies should use experimental exclosures to identify prey-specific changes in foraging behaviour. We also recommend placing seeds at a range of densities to investigate the influence of food availability on foraging decisions in high risk areas. Finally, evaluating prey responses towards a range of predator species could help determine whether rodents show similar responses towards other non-native predators.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S0266467422000050

Acknowledgements

This study was conducted with permission from Yayasan Sabah, the Sabah Biodiversity Council, and the Danum Valley Management Committee. This work was part of the Southeast Asian Rainforest Research Partnership (SEARRP) and was funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) post-graduate doctoral award (PGS-D) to AG and NSERC Discovery and Canadian Foundation for Innovation grants to JB. We are grateful for logistical and field assistance from G. Reynolds, A. Karolus, S. Espinola, S. Mang, T. Rachinski, S. Havalic, and T. Ferrel. We thank two anonymous reviewers for their feedback.

Data Availability Statement

Data are available on Figshare.com (https://figshare.com/authors/Alys_Granados/4108249).

Competing Interests

The authors have none to declare.

References

Apfelbach, R, Blanchard, CD, Blanchard, RJ, Hayes, RA and McGregor, IS (2005) The effects of predator odors in mammalian prey species: a review of field and laboratory studies. Neuroscience & Biobehavioral Reviews 29, 11231144.CrossRefGoogle ScholarPubMed
Bates, DM and Maechler, M (2011) lme4: Linear mixed-effects models using S4 classes. R package version 1.1-7.Google Scholar
Bestion, E, Cucherousset, J, Teyissier, A and Cote, J (2015) Non-consumptive effects of a top-predator decrease the strength of the trophic cascade in a four-level terrestrial food web. Oikos 12, 15971603.CrossRefGoogle Scholar
Blackham, GV and Corlett, RT (2015) Post-dispersal seed removal by ground-feeding rodents in tropical peatlands, Central Kalimantan, Indonesia. Scientific Reports 5, 14152.CrossRefGoogle ScholarPubMed
Bowers, MA and Dooley, JL (1993) Predation hazard and seed removal by small mammals: microhabitat versus patch scale effects. Oecologia 94, 247254.CrossRefGoogle ScholarPubMed
Bramley, GN and Waas, JR (2001) Laboratory and field evaluation of predator odors as repellents for kiore (Rattus exulans) and ship rats (R. rattus). Journal of Chemical Ecology 27, 10291047.CrossRefGoogle Scholar
Brewer, S (2001) Predation and dispersal of large and small seeds of a tropical palm. Oikos 92, 245255.CrossRefGoogle Scholar
Bricker, M, Pearson, D and Maron, J (2010) Small-mammal seed predation limits the recruitment and abundance of two perennial grassland forbs. Ecology 91, 8592.CrossRefGoogle ScholarPubMed
Brodie, JF, Aslan, CE, Rogers, HS, Redford, KH, Maron, JL, Bronstein, JL and Groves, CR (2014) Secondary extinctions of biodiversity. Trends in Ecology & Evolution 29, 664672.CrossRefGoogle ScholarPubMed
Brodie, JF and Giordano, A (2013) Lack of trophic release with large mammal predators and prey in Borneo. Biological Conservation 163, 5867.CrossRefGoogle Scholar
Brown, JS, Morgan, RA and Dow, BD (1992) Patch use under predation risk: II. A test with fox squirrels, Sciurus niger . Annales Zoologici Fennici 29, 311318.Google Scholar
Buckle, A, Chia, T, Fenn, M and Visvalingam, M (1997) Ranging behaviour and habitat utilisation of the Malayan wood rat (Rattus tiomanicus) in an oil palm plantation in Johore, Malaysia. Crop Protection 16, 467473.CrossRefGoogle Scholar
Bytheway, JP, Carthey, AJ and Banks, PB (2013) Risk vs. reward: how predators and prey respond to aging olfactory cues. Behavioral Ecology and Sociobiology 67, 715725.CrossRefGoogle Scholar
Carthey, AJ and Banks, PB (2016) Naiveté is not forever: responses of a vulnerable native rodent to its long term alien predators. Oikos 125, 918926.CrossRefGoogle Scholar
Charnov, EL (1976) Optimal foraging, the marginal value theorem. Theoretical Population Biology 9, 129136.CrossRefGoogle ScholarPubMed
Cramer, MJ (2014) Seeds of doubt: feeding preferences of white-footed deer mice (Peromyscus leucopus noveboracensis) and woodland deer mice (Peromyscus maniculatus gracilis) on maple (genus Acer) seeds. Canadian Journal of Zoology 92, 771776.CrossRefGoogle Scholar
de Guia, AP and Quibod, MNR (2014) Gut analysis of small non-volant mammals of Mt. Makiling, Luzon Island, Philippines. Journal of Environmental Science and Management 17, 6368.CrossRefGoogle Scholar
Dielenberg, RA and McGregor, IS (2001) Defensive behavior in rats towards predatory odors: a review. Neuroscience & Biobehavioral Reviews 25, 597609.CrossRefGoogle ScholarPubMed
Dirzo, R and Mendoza, E (2007) Size-related differential seed predation in a heavily defaunated neotropical rain forest. Biotropica 39, 355362.CrossRefGoogle Scholar
Fendt, M (2006) Exposure to urine of canids and felids, but not of herbivores, induces defensive behavior in laboratory rats. Journal of Chemical Ecology 32, 26172627.CrossRefGoogle Scholar
Ferrero, DM, Lemon, JK, Fluegge, D, Pashkovski, SL, Korzan, WJ, Datta, SR, Spehr, M, Fendt, M and Liberles, SD (2011) Detection and avoidance of a carnivore odor by prey. Proceedings of the National Academy of Sciences 108, 1123511240.CrossRefGoogle ScholarPubMed
Forget, PM and Jansen, PA (2007) Hunting increases dispersal limitation in the tree Carapa procera, a nontimber forest product. Conservation Biology 21, 106113.CrossRefGoogle ScholarPubMed
Hautier, Y, Saner, P, Philipson, C, Bagchi, R, Ong, RC and Hector, A (2010) Effects of seed predators of different body size on seed mortality in Bornean logged forest. PLoS ONE 5, e11651.CrossRefGoogle ScholarPubMed
Hayes, RA, Nahrung, HF and Wilson, JC (2006) The response of native Australian rodents to predator odours varies seasonally: a by-product of life history variation? Animal Behaviour 71, 13071314.CrossRefGoogle Scholar
Hazebroek, H, Adlin, T and Sinun, W (2012) Danum Valley the rainforest. Natural History Publications (Borneo), Kota Kinabalu.Google Scholar
Herman, CS and Valone, TJ (2000) The effect of mammalian predator scent on the foraging behavior of Dipodomys merriami . Oikos 91, 139145.CrossRefGoogle Scholar
Hernández, L and Laundré, JW (2005) Foraging in the ‘landscape of fear’ and its implications for habitat use and diet quality of elk Cervus elaphus and bison Bison bison. Wildlife Biology 11, 215220.CrossRefGoogle Scholar
Hulme, PE, Benkman, CW, Herrera, CM and Pellmyr, O (2002) Granivory. Plant–animal interactions: an evolutionary approach. TJ International Ltd, Cornwall.Google Scholar
Kauffman, MJ, Brodie, JF, Jules, ES and Url, S (2013) Are wolves saving Yellowstone’s aspen? A landscape-level test of a behaviorally mediated trophic cascade. Ecology 91, 27422755.CrossRefGoogle Scholar
Keesing, F (1998) Impacts of ungulates on the demography and diversity of small mammals in central Kenya. Oecologia 116, 381389.CrossRefGoogle ScholarPubMed
Laundré, J, Hernández, L, Medina, PL, Campanella, A, López-Portillo, J, González-Romero, A, Grajales-Tam, KM, Burke, AM, Gronemeyer, P and Browning, DM (2014) The landscape of fear: the missing link to understand top-down and bottom-up controls of prey abundance? Ecology 95, 11411152.CrossRefGoogle ScholarPubMed
Lenth, R (2020) emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.5.2-1.Google Scholar
Lima, SL and Bednekoff, PA (1999) Temporal variation in danger drives antipredator behavior: the predation risk allocation hypothesis. The American Naturalist 153, 649659.CrossRefGoogle ScholarPubMed
Lima, SL and Dill, LM. (1990) Behavioral decisions made under the risk of predation: a review and prospectus. Canadian Journal of Zoology 68, 619640.CrossRefGoogle Scholar
Lüdecke, D, Ben-Shacar, MS, Patil, I, Waggoner, P and Makowski, D (2021) performance: an R package for assessment, comparison and testing of statistical models. Journal of Open Source Software 6, 3139.CrossRefGoogle Scholar
Mack, AL (1998) An advantage of large seed size: tolerating rather than succumbing to seed predators. Biotropica 30, 604608.CrossRefGoogle Scholar
Mayor, SJ, Schneider, DC, Schaefer, JA and Mahoney, SP (2009) Habitat selection at multiple scales. Ecoscience 16, 238247.CrossRefGoogle Scholar
McFrederick, QS, Fuentes, JD, Roulston, T, Kathilankal, JC and Lerdau, M (2009) Effects of air pollution on biogenic volatiles and ecological interactions. Oecologia 160, 411420.CrossRefGoogle ScholarPubMed
Muñoz, A and Bonal, R (2008) Are you strong enough to carry that seed? Seed size/body size ratios influence seed choices by rodents. Animal Behaviour 76, 709715.CrossRefGoogle Scholar
Myster, RW and Pickett, S (1993) Effects of litter, distance, density and vegetation patch type on postdispersal tree seed predation in old fields. Oikos, 381388.CrossRefGoogle Scholar
Neale, JC and Sacks, BN (2001) Resource utilization and interspecific relations of sympatric bobcats and coyotes. Oikos 94, 236249.CrossRefGoogle Scholar
Orrock, JL and Danielson, BJ (2009) Temperature and cloud cover, but not predator urine, affect winter foraging of mice. Ethology 115, 641648.CrossRefGoogle Scholar
Orrock, JL, Danielson, BJ and Brinkerhoff, RJ (2004) Rodent foraging is affected by indirect, but not direct, cues of predation risk. Behavioral Ecology 15, 433437.CrossRefGoogle Scholar
Perez-Ramos, IM, Garcia-De La Cruz, Y and Gomez-Aparicio, L (2017) Contrasting responses of insects and vertebrates as seed consumers of two neotropical oak species: the interactive effects of individual crop size and seed mass. Forest Ecology and Management 401, 99106.CrossRefGoogle Scholar
Phillips, Q and Phillips, K (2016) Mammals of Borneo and their ecology. Natural History Publications (Borneo), Kota Kinabalu. 400 p.Google Scholar
Preisser, EL, Bolnick, DI and Benard, MF (2005) Scared to death? The effects of intimidation and consumption in predator–prey interactions. Ecology 86, 501509.CrossRefGoogle Scholar
Ramp, D, Russell, BG and Croft, DB (2005) Predator scent induces differing responses in two sympatric macropodids. Australian Journal of Zoology 53, 7378.CrossRefGoogle Scholar
R Core Team (2018) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.Google Scholar
Rosell, F (2001) Effectiveness of predator odors as gray squirrel repellents. Canadian Journal of Zoology 79, 17191723.CrossRefGoogle Scholar
Schmitz, OJ, Krivan, V and Ovadia, O (2004) Trophic cascades: the primacy of trait-mediated indirect interactions. Ecology Letters 7, 153163.CrossRefGoogle Scholar
Sündermann, D, Scheumann, M and Zimmermann, E (2008) Olfactory predator recognition in predator-naive gray mouse lemurs (Microcebus murinus). Journal of Comparative Psychology 122, 146.CrossRefGoogle Scholar
Takahashi, LK, Nakashima, BR, Hong, H and Watanabe, K (2005) The smell of danger: a behavioral and neural analysis of predator odor-induced fear. Neuroscience & Biobehavioral Reviews 29, 11571167.CrossRefGoogle ScholarPubMed
Thornton, D, Sunquist, ME and Main, MB (2004) Ecological separation within newly sympatric populations of coyotes and bobcats in South-Central Florida. Journal of Mammalogy 85, 973982.CrossRefGoogle Scholar
Wang, B, Ye, C and Chen, J (2013) Dissecting the decision making process of scatterhoarding rodents. Oikos 122, 10271034.CrossRefGoogle Scholar
Wells, K and Bagchi, R (2005) Eat in or take away-Seed predation and removal by rats (muridae) during a fruiting event in a dipterocarp rainforest. Raffles Bulletin of Zoology 53, 281286.Google Scholar
Wells, K, Pfeiffer, M, Lakim, MB and Kalko, EK (2006) Movement trajectories and habitat partitioning of small mammals in logged and unlogged rain forests on Borneo. Journal of Animal Ecology 75, 12121223.CrossRefGoogle ScholarPubMed
Wolff, JO (2004) Scent marking by voles in response to predation risk: a field-laboratory validation. Behavioral Ecology 15, 286289.CrossRefGoogle Scholar
Xiao, Z, Wang, Y, Harris, M and Zhang, Z (2006) Spatial and temporal variation of seed predation and removal of sympatric large-seeded species in relation to innate seed traits in a subtropical forest, Southwest China. Forest Ecology and Management 222, 4654.CrossRefGoogle Scholar
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Figure 1. Experimental design used to test the effect of predator olfactory cues on murid rodent foraging behaviour. Each site consisted of one camera station with urine gel placed on the edges and corners of the quadrat (‘treatment’; A), and another camera station ∼ 50 m away with no urine-gel (‘control’; B). Four seeds from each of four plant taxa were placed in each plot: Elaeis (E), Cucurbita (C), Dimocarpus (D), and Nephelium (N). ‘X’ denotes the locations where the urine gel was applied in the experimental quadrat.

Figure 1

Figure 2. Mean (±SE) proportion of seeds removed from treatment (predator urine gel) and control (no gel) plots in Danum Valley, Sabah, Malaysia. Removal was by all granivorous species combined. Seed removal was the lowest and the highest for the largest-seeded (Elaeis) and smallest-seed (Cucurbita) plants, respectively, in our study.

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