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Doherty TS, Geary WL, Jolly CJ, Macdonald KJ, Miritis V, Watchorn DJ, Cherry MJ, Conner LM, González TM, Legge SM, Ritchie EG, Stawski C, Dickman CR. Fire as a driver and mediator of predator-prey interactions. Biol Rev Camb Philos Soc 2022; 97:1539-1558. [PMID: 35320881 PMCID: PMC9546118 DOI: 10.1111/brv.12853] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 01/08/2023]
Abstract
Both fire and predators have strong influences on the population dynamics and behaviour of animals, and the effects of predators may either be strengthened or weakened by fire. However, knowledge of how fire drives or mediates predator–prey interactions is fragmented and has not been synthesised. Here, we review and synthesise knowledge of how fire influences predator and prey behaviour and interactions. We develop a conceptual model based on predator–prey theory and empirical examples to address four key questions: (i) how and why do predators respond to fire; (ii) how and why does prey vulnerability change post‐fire; (iii) what mechanisms do prey use to reduce predation risk post‐fire; and (iv) what are the outcomes of predator–fire interactions for prey populations? We then discuss these findings in the context of wildlife conservation and ecosystem management before outlining priorities for future research. Fire‐induced changes in vegetation structure, resource availability, and animal behaviour influence predator–prey encounter rates, the amount of time prey are vulnerable during an encounter, and the conditional probability of prey death given an encounter. How a predator responds to fire depends on fire characteristics (e.g. season, severity), their hunting behaviour (ambush or pursuit predator), movement behaviour, territoriality, and intra‐guild dynamics. Prey species that rely on habitat structure for avoiding predation often experience increased predation rates and lower survival in recently burnt areas. By contrast, some prey species benefit from the opening up of habitat after fire because it makes it easier to detect predators and to modify their behaviour appropriately. Reduced prey body condition after fire can increase predation risk either through impaired ability to escape predators, or increased need to forage in risky areas due to being energetically stressed. To reduce risk of predation in the post‐fire environment, prey may change their habitat use, increase sheltering behaviour, change their movement behaviour, or use camouflage through cryptic colouring and background matching. Field experiments and population viability modelling show instances where fire either amplifies or does not amplify the impacts of predators on prey populations, and vice versa. In some instances, intense and sustained post‐fire predation may lead to local extinctions of prey populations. Human disruption of fire regimes is impacting faunal communities, with consequences for predator and prey behaviour and population dynamics. Key areas for future research include: capturing data continuously before, during and after fires; teasing out the relative importance of changes in visibility and shelter availability in different contexts; documenting changes in acoustic and olfactory cues for both predators and prey; addressing taxonomic and geographic biases in the literature; and predicting and testing how changes in fire‐regime characteristics reshape predator–prey interactions. Understanding and managing the consequences for predator–prey communities will be critical for effective ecosystem management and species conservation in this era of global change.
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Affiliation(s)
- Tim S Doherty
- School of Life and Environmental Sciences, Heydon-Laurence Building A08, The University of Sydney, Sydney, NSW, 2006, Australia
| | - William L Geary
- Biodiversity Strategy and Knowledge Branch, Biodiversity Division, Department of Environment, Land, Water and Planning, 8 Nicholson Street, East Melbourne, VIC, 3002, Australia.,Centre for Integrative Ecology, School of Life and Environmental Sciences (Burwood Campus), Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia
| | - Chris J Jolly
- School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Gungalman Drive, Albury, NSW, 2640, Australia.,School of Natural Sciences, G17, Macquarie University, 205B Culloden Road, Macquarie Park, NSW, 2109, Australia
| | - Kristina J Macdonald
- Centre for Integrative Ecology, School of Life and Environmental Sciences (Burwood Campus), Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia
| | - Vivianna Miritis
- School of Life and Environmental Sciences, Heydon-Laurence Building A08, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Darcy J Watchorn
- Centre for Integrative Ecology, School of Life and Environmental Sciences (Burwood Campus), Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia
| | - Michael J Cherry
- Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, 700 University Boulevard, MSC 218, Kingsville, TX, 78363, U.S.A
| | - L Mike Conner
- The Jones Center at Ichauway, 3988 Jones Center Drive, Newton, GA, 39870, U.S.A
| | - Tania Marisol González
- Laboratorio de Ecología del Paisaje y Modelación de Ecosistemas ECOLMOD, Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Edificio 421, Bogotá, 111321, Colombia
| | - Sarah M Legge
- Fenner School of Environment & Society, The Australian National University, Linnaeus Way, Canberra, ACT, 2601, Australia.,Centre for Biodiversity Conservation Science, University of Queensland, Level 5 Goddard Building, St Lucia, QLD, 4072, Australia
| | - Euan G Ritchie
- Centre for Integrative Ecology, School of Life and Environmental Sciences (Burwood Campus), Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia
| | - Clare Stawski
- Department of Biology, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway.,School of Science, Technology and Engineering, University of the Sunshine Coast, Maroochydore DC, QLD, 4558, Australia
| | - Chris R Dickman
- School of Life and Environmental Sciences, Heydon-Laurence Building A08, The University of Sydney, Sydney, NSW, 2006, Australia
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Mirts HE, McLaughlin JP, Weller TJ, White AM, Young HS, Sollmann R. Bats in the megafire: assessing species’ site use in a postfire landscape in the Sierra Nevada. J Mammal 2021. [DOI: 10.1093/jmammal/gyab129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Large high-severity fires are increasing in frequency in many parts of the world, including the coniferous forests of the Sierra Nevada mountains. These “megafires” alter vegetation and environmental conditions in forests, yet their impacts on native wildlife remain poorly understood. Bats play an important role in forest ecosystems, but their responses to megafires likewise are understudied. We investigated bat responses to the King Fire, a megafire that burned nearly 40,000 ha within the Eldorado National Forest in 2014, half of it at high severity. From June to September 2017, we used remote acoustic recorders to survey bats at 26 sites with varying fire severity (unburned, mixed, and high severity). We analyzed data with Royle–Nichols occupancy models to investigate how bat space use was influenced by megafires, and whether this response was driven by prey availability, fire severity, or fire-altered habitat conditions. We calculated prey species richness, biomass, and abundance, from moths sampled with blacklight surveys. Vegetation covariates included tree density, canopy cover, and shrub density, measured along vegetation transects. To capture general effects of fire, we also included fire severity and the percentage of dead trees as potential covariates on space use. Prey variables were highest in unburned forests, were the most common predictors of, and generally had positive effects on bat space use. Responses to tree density and canopy cover varied by species; the most common vegetation covariate, shrub density, had weak positive effects on bat space use. In spite of the varying prey and vegetation conditions across fire severity categories, most bats showed weak to no response in space use to fire severity and tree mortality. We attribute this to the highly mobile nature of bats, which reduces the impact of potentially negative local conditions.
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Affiliation(s)
- Haley E Mirts
- Department of Wildlife, Fish, and Conservation Biology, University of California Davis, Davis, CA, USA
| | - John P McLaughlin
- Marine Science Institute, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Theodore J Weller
- USDA Forest Service, Pacific Southwest Research Station, Arcata, CA, USA
| | - Angela M White
- USDA Forest Service, Pacific Southwest Research Station, Davis, CA, USA
| | - Hillary S Young
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Rahel Sollmann
- Department of Wildlife, Fish, and Conservation Biology, University of California Davis, Davis, CA, USA
- Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
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