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Mayhew DS, Hearn AJ, Devineau O, Linnell JD, Macdonald DW. Loss of Sunda clouded leopards and forest integrity drive potential impacts of mesopredator release on vulnerable avifauna. Heliyon 2024; 10:e32801. [PMID: 38975237 PMCID: PMC11225837 DOI: 10.1016/j.heliyon.2024.e32801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/08/2024] [Accepted: 06/10/2024] [Indexed: 07/09/2024] Open
Abstract
Amongst the unintended consequences of anthropogenic landscape conversion is declining apex predator abundance linked to loss of forest integrity, which can potentially re-order trophic networks. One such re-ordering, known as mesopredator release, occurs when medium-sized predators, also called mesopredators, rapidly increase in abundance following the decline in apex predator abundance, consequently reducing the abundance of mesopredator prey, notably including terrestrial avifauna. We examine the cascading impacts of declining Sunda clouded leopard abundance, itself consequent upon a reduction in forest integrity, on the mesopredator community of Sabah, Malaysia, to determine whether the phenomenon of mesopredator release is manifest and specifically whether it impacts the terrestrial avifauna community of pheasants and pittas. To explore this trophic interaction, we used a piecewise structural equation model to compare changes in the relative abundance of organisms. Our results suggest that loss of forest integrity may have broad impacts on the community and trigger mesopredator release, the two acting additively in their impact on already vulnerable species of terrestrial avifauna: a result not previously documented in tropical systems and rarely detected even on a global scale. The limiting effect that the Sunda clouded leopard has on the Sunda leopard cat could illuminate the mechanism whereby mesopredator release impacts this system. Both Bulwer's pheasant and pittas appear to be significantly impacted by the increase in Sunda leopard cats, while the great argus pheasant shows similar compelling, although not statistically significant, declines as Sunda leopard cats increase. The inverse relationship between Sunda clouded leopards and Sunda leopard cats suggests that if a mesopredator release exists it could have downstream consequences for some terrestrial avifauna. These results suggest the under-studied interface between mammalian carnivores and avifauna, or more broadly species interactions in general, could offer important conservation tool for holistic ecosystem conservation efforts.
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Affiliation(s)
- Darwin S. Mayhew
- Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences - Campus Evenstad, Anne Evenstads Vei 80, 2480, Koppang, Norway
| | - Andrew J. Hearn
- WildCRU, Department of Biology, University of Oxford, Recanati-Kaplan Centre, Tubney House, Abingdon Rd, Tubney, OX13 5QL, United Kingdom
| | - Olivier Devineau
- Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences - Campus Evenstad, Anne Evenstads Vei 80, 2480, Koppang, Norway
| | - John D.C. Linnell
- Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences - Campus Evenstad, Anne Evenstads Vei 80, 2480, Koppang, Norway
- Norwegian Institute for Nature Research, Vormstuguveien 40, 2624, Lillehammer, Norway
| | - David W. Macdonald
- WildCRU, Department of Biology, University of Oxford, Recanati-Kaplan Centre, Tubney House, Abingdon Rd, Tubney, OX13 5QL, United Kingdom
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2
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Magioli M, Lima LHA, Villela PMS, Sampaio R, Bonjorne L, Ribeiro RLA, Kantek DLZ, Miyazaki SS, Semedo TBF, Libardi GS, Saranholi BH, Eriksson CE, Morato RG, Berlinck CN. Forest type modulates mammalian responses to megafires. Sci Rep 2024; 14:13538. [PMID: 38866909 PMCID: PMC11169498 DOI: 10.1038/s41598-024-64460-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/10/2024] [Indexed: 06/14/2024] Open
Abstract
Although considered an evolutionary force responsible for shaping ecosystems and biodiversity, fires' natural cycle is being altered by human activities, increasing the odds of destructive megafire events. Here, we show that forest type modulates the responses of terrestrial mammals, from species to assemblage level, to a catastrophic megafire in the Brazilian Pantanal. We unraveled that mammalian richness was higher 1 year after fire passage compared to a pre-fire condition, which can be attributed to habitat modification caused by wildfires, attracting herbivores and open-area tolerant species. We observed changes in assemblage composition between burned/unburned sites, but no difference in mammalian richness or relative abundance. However, by partitioning the effects of burned area proportion per forest type (monospecific vs. polyspecific), we detected differential responses of mammals at several levels of organization, with pronounced declines in species richness and relative abundance in monospecific forests. Eighty-six percent of the species presented moderate to strong negative effects on their relative abundance, with an overall strong negative effect for the entire assemblage. Wildfires are predicted to be more frequent with climate and land use change, and if events analogous to Pantanal-2020 become recurrent, they might trigger regional beta diversity change, benefitting open-area tolerant species.
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Affiliation(s)
- Marcelo Magioli
- Instituto Pró-Carnívoros, Atibaia, São Paulo, Brazil.
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
- Laboratório de Ecologia e Conservação (LAEC), Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Universidade de São Paulo, Ribeirão Preto, Brazil.
| | - Luanne Helena Augusto Lima
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
| | | | - Ricardo Sampaio
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
- Laboratório de Ecologia e Conservação (LAEC), Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Lilian Bonjorne
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
| | - Renan Lieto Alves Ribeiro
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
| | - Daniel Luis Zanella Kantek
- Estação Ecológica de Taiamã, Instituto Chico Mendes de Conservação da Biodiversidade, Cáceres, Mato Grosso, Brazil
- Centro Nacional de Pesquisa e Conservação de Mamíferos Aquáticos, Instituto Chico Mendes de Conservação da Biodiversidade, Santos, São Paulo, Brazil
| | - Selma Samiko Miyazaki
- Estação Ecológica de Taiamã, Instituto Chico Mendes de Conservação da Biodiversidade, Cáceres, Mato Grosso, Brazil
- Centro Nacional de Pesquisa e Conservação de Mamíferos Aquáticos, Instituto Chico Mendes de Conservação da Biodiversidade, Santos, São Paulo, Brazil
| | - Thiago B F Semedo
- InBIO Laboratório Associado, CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002, Porto, Portugal
| | - Gustavo S Libardi
- Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Bruno H Saranholi
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Charlotte E Eriksson
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, 97331, USA
| | - Ronaldo Gonçalves Morato
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
- Departamento de Conservação e Uso Sustentável da Biodiversidade, Secretaria Nacional de Biodiversidade, Floresta e Direito dos Animais, Ministério do Meio Ambiente e Mudança Clima, Brasília, Brazil
| | - Christian Niel Berlinck
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil
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3
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Martijn B, Thomas N, Natalie B, Jim C. Impacts of zoning and landscape structure on the relative abundance of wild boar assessed through a Bayesian N-mixture model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 911:168546. [PMID: 37979862 DOI: 10.1016/j.scitotenv.2023.168546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 11/08/2023] [Accepted: 11/11/2023] [Indexed: 11/20/2023]
Abstract
Increasing human-wild boar interactions have led to damage to agricultural crops, traffic collisions and disease transmissions. Dividing natural areas in zones with differential hunting pressure is one of the currently adopted management strategies. However, the effectiveness of this approach is under debate. Hence, there is a need to better understand how to mitigate negative human-wild boar interactions effectively. Camera traps are cost-efficient, and non-invasive tools to monitor animal populations. N-mixture models can reliably estimate spatial variation in relative abundances when animals are imperfectly detected and/or cannot be individually identified. Thus, they are useful tools to infer the impacts of several factors on the land-use intensity of wild boar, based on camera trap data. In a nature area in central Belgium, we compare "summer" (April-September) land-use intensity of wild boar from 2018 until 2021 between three zones: a hunting free core zone, a winter hunting zone where hunting only takes place between November and March, and a year-round hunting zone. The latter is also close to the forest edge, agricultural crops and settlements. We compare spatial abundance models that capture these zone effects, or attractive effects of croplands, repulsive effects of hunting and repulsive effects of non-lethal human disturbances. We reveal between zone differences in wild boar land-use intensities across all summers. Additionally, we find that non-lethal human disturbance and croplands also explain variation in wild boar land-use intensity, but do not find negative associations with hunting locations. Our results suggest that the effects of zoning on wild boar land-use patterns are relevant in medium-sized natural areas. Moreover, we identify the need to install additional cameras outside of the managed area in order to assess the impacts of hunting in combination with non-lethal human activities on wild boar to mitigate negative human-wild boar interactions in the future.
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Affiliation(s)
- Bollen Martijn
- Centre for Environmental Sciences, UHasselt - Hasselt University, Diepenbeek, Belgium; Data Science Institute, UHasselt -Hasselt University, Diepenbeek, Belgium; Research Institute for Nature and Forest, Brussels, Belgium.
| | - Neyens Thomas
- Data Science Institute, UHasselt -Hasselt University, Diepenbeek, Belgium; Leuven Biostatistics and statistical Bioinformatics Centre, KU Leuven, Leuven, Belgium
| | - Beenaerts Natalie
- Centre for Environmental Sciences, UHasselt - Hasselt University, Diepenbeek, Belgium
| | - Casaer Jim
- Research Institute for Nature and Forest, Brussels, Belgium
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Martijn B, Jim C, Natalie B, Thomas N. Simulation-based assessment of the performance of hierarchical abundance estimators for camera trap surveys of unmarked species. Sci Rep 2023; 13:16169. [PMID: 37758779 PMCID: PMC10533874 DOI: 10.1038/s41598-023-43184-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
Knowledge on animal abundances is essential in ecology, but is complicated by low detectability of many species. This has led to a widespread use of hierarchical models (HMs) for species abundance, which are also commonly applied in the context of nature areas studied by camera traps (CTs). However, the best choice among these models is unclear, particularly based on how they perform in the face of complicating features of realistic populations, including: movements relative to sites, multiple detections of unmarked individuals within a single survey, and low detectability. We conducted a simulation-based comparison of three HMs (Royle-Nichols, binomial N-mixture and Poisson N-mixture model) by generating groups of unmarked individuals moving according to a bivariate Ornstein-Uhlenbeck process, monitored by CTs. Under a range of simulated scenarios, none of the HMs consistently yielded accurate abundances. Yet, the Poisson N-mixture model performed well when animals did move across sites, despite accidental double counting of individuals. Absolute abundances were better captured by Royle-Nichols and Poisson N-mixture models, while a binomial N-mixture model better estimated the actual number of individuals that used a site. The best performance of all HMs was observed when estimating relative trends in abundance, which were captured with similar accuracy across these models.
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Affiliation(s)
- Bollen Martijn
- Centre for Environmental Sciences, UHasselt, Diepenbeek, Belgium.
- Research Institute Nature and Forest, Brussels, Belgium.
- Data Science Institute, UHasselt, Diepenbeek, Belgium.
| | - Casaer Jim
- Research Institute Nature and Forest, Brussels, Belgium
| | | | - Neyens Thomas
- Data Science Institute, UHasselt, Diepenbeek, Belgium
- Leuven Biostatistics and Statistical Bioinformatics Centre, KU Leuven, Leuven, Belgium
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5
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Chaudhuri S, Rajaraman R, Kalyanasundaram S, Sathyakumar S, Krishnamurthy R. N-mixture model-based estimate of relative abundance of sloth bear ( Melursus ursinus) in response to biotic and abiotic factors in a human-dominated landscape of central India. PeerJ 2022; 10:e13649. [PMID: 36523470 PMCID: PMC9745790 DOI: 10.7717/peerj.13649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 06/07/2022] [Indexed: 12/12/2022] Open
Abstract
Reliable estimation of abundance is a prerequisite for a species' conservation planning in human-dominated landscapes, especially if the species is elusive and involved in conflicts. As a means of population estimation, the importance of camera traps has been recognized globally, although estimating the abundance of unmarked, cryptic species has always been a challenge to conservation biologists. This study explores the use of the N-mixture model with three probability distributions, i.e., Poisson, negative binomial (NB) and zero-inflated Poisson (ZIP), to estimate the relative abundance of sloth bears (Melursus ursinus) based on a camera trapping exercise in Sanjay Tiger Reserve, Madhya Pradesh from December 2016 to April 2017. We used environmental and anthropogenic covariates to model the variation in the abundance of sloth bears. We also compared null model estimates (mean site abundance) obtained from the N-mixture model to those of the Royle-Nichols abundance-induced heterogeneity model (RN model) to assess the application of similar site-structured models. Models with Poisson distributions produced ecologically realistic and more precise estimates of mean site abundance (λ = 2.60 ± 0.64) compared with other distributions, despite the relatively high Akaike Information Criterion value. Area of mixed and sal forest, the photographic capture rate of humans and distance to the nearest village predicted a higher relative abundance of sloth bears. Mean site abundance estimates of sloth bears obtained from the N-mixture model (Poisson distribution) and the RN model were comparable, indicating the overall utility of these models in this field. However, density estimates of sloth bears based on spatially explicit methods are essential for evaluating the efficacy of the relatively more cost-effective N-mixture model. Compared to commonly used index/encounter-based methods, the N-mixture model equipped with knowledge on governing biotic and abiotic factors provides better relative abundance estimates for a species like the sloth bear. In the absence of absolute abundance estimates, the present study could be insightful for the long-term conservation and management of sloth bears.
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Affiliation(s)
- Sankarshan Chaudhuri
- Department of Landscape Level Planning and Management, Wildlife Institute of India, Dehradun, Uttarakhand, India
| | - Rajasekar Rajaraman
- Department of Landscape Level Planning and Management, Wildlife Institute of India, Dehradun, Uttarakhand, India
| | | | - Sambandam Sathyakumar
- Department of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India
| | - Ramesh Krishnamurthy
- Department of Landscape Level Planning and Management, Wildlife Institute of India, Dehradun, Uttarakhand, India
- Faculty of Forestry, University of British Columbia, Vancouver, British Columbia, Canada
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Ragan K, Schipper J, Bateman HL, Hall SJ. Mammal use of riparian corridors in semi‐arid Sonora, Mexico. J Wildl Manage 2022. [DOI: 10.1002/jwmg.22322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Kinley Ragan
- Arizona State University 427 E Tyler Mall Tempe AZ 85281 USA
- Arizona Center for Nature Conservation/Phoenix Zoo 455 N Galvin Parkway Phoenix AZ 85008 USA
| | - Jan Schipper
- Arizona Center for Nature Conservation/Phoenix Zoo 455 N Galvin Parkway Phoenix AZ 85008 USA
| | - Heather L. Bateman
- Arizona State University Polytechnic campus 7001 E Williams Field Road Mesa AZ 85212 USA
| | - Sharon J. Hall
- Arizona State University 427 E Tyler Mall Tempe AZ 85281 USA
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Clement MJ, Royle JA, Mixan RJ. Estimating occupancy from autonomous recording unit data in the presence of misclassifications and detection heterogeneity. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | - J. Andrew Royle
- U.S. Geological Survey, Eastern Ecological Science Center Laurel MD USA
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Santini G, Abolaffio M, Ossi F, Franzetti B, Cagnacci F, Focardi S. Population assessment without individual identification using camera-traps: a comparison of four methods. Basic Appl Ecol 2022. [DOI: 10.1016/j.baae.2022.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Dehaudt B, Amir Z, Decoeur H, Gibson L, Mendes C, Moore JH, Nursamsi I, Sovie A, Luskin MS. Common palm civets (Paradoxurus hermaphroditus) are positively associated with humans and forest degradation with implications for seed dispersal and zoonotic diseases. J Anim Ecol 2022; 91:794-804. [PMID: 35038361 DOI: 10.1111/1365-2656.13663] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/28/2021] [Indexed: 11/29/2022]
Abstract
1. Habitat loss and degradation can undermine wildlife communities and ecosystem functioning. However, certain generalist wildlife species like mesopredators and omnivores can exploit these disturbed habitats, sometimes leading to population increases (e.g., "mesopredator release" in degraded areas). Although mesopredator release may cause negative effects on food webs and zoonotic disease management, some disturbance-tolerant species may help perpetuate important ecological interactions, such as seed dispersal. 2. We evaluated the habitat associations of common palm civets (Paradoxurus hermaphroditus), which are widespread generalist mesopredators in Southeast Asia. Common palm civets are also high-quality seed dispersers, and potential zoonotic disease hosts. 3. We used published and new camera trapping data to map their probability of presence across Southeast Asia and evaluate regional-scale associations between capture rates and habitat variables such as elevation, ecoregion intactness, and Human Footprint Index, among others. We also assessed the influence of habitat variables on their relative abundance at the local scale. 4. At the regional scale, we found that common palm civets showed significant positive associations with landscapes characterized by lower ecoregion intactness, higher Human Footprint Index, and lower elevations. At the local scale, their relative abundance showed a significant positive association with higher Human Footprint Index, but only to a certain point, after which it started decreasing. They also favored lower elevations at the local scale. 5. These multi-scale results indicate that common palm civets' abundance can increase under certain levels of human disturbances, consistent with the "mesopredator release" hypothesis. This suggests they may be crucial seed dispersers in degraded forest landscapes, especially where more sensitive seed dispersers have disappeared. Our results are also consistent with previous studies reporting that habitat degradation increases populations of potential zoonotic disease hosts, and thus risks of transmission to humans.
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Affiliation(s)
- Bastien Dehaudt
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Zachary Amir
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Henri Decoeur
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Luke Gibson
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Calebe Mendes
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Jonathan H Moore
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.,School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom
| | - Ilyas Nursamsi
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Adia Sovie
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Matthew Scott Luskin
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, Australia
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Lohr CA, Nilsson K, Johnson A, Hamilton N, Onus M, Algar D. Two Methods of Monitoring Cats at a Landscape-Scale. Animals (Basel) 2021; 11:ani11123562. [PMID: 34944337 PMCID: PMC8698172 DOI: 10.3390/ani11123562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/08/2021] [Accepted: 12/10/2021] [Indexed: 11/22/2022] Open
Abstract
Simple Summary Feral cats are difficult to manage and harder to monitor. We report on the efficacy of Eradicat® baiting and the cost and the efficacy of monitoring the activty of feral cats via camera-traps or track counts. Pre-baiting surveys for 2020 and 2021 suggested that the population of feral cats on Matuwa was very low, at 5.5 and 4.4 cats/100 km respectively, which is well below our target threshold of 10 cats/100 km. Post-baiting surveys then recorded 3.6 and 3.0 cats/100 km respectively, which still equates to a 35% and 32% reduction in cat activity despite initial low cat detection rate. Track counts recorded more feral cats than camera traps and were cheaper to implement. Abstract Feral cats are difficult to manage and harder to monitor. We analysed the cost and the efficacy of monitoring the pre- and post-bait abundance of feral cats via camera-traps or track counts using four years of data from the Matuwa Indigenous Protected Area. Additionally, we report on the recovery of the feral cat population and the efficacy of subsequent Eradicat® aerial baiting programs following 12 months of intensive feral cat control in 2019. Significantly fewer cats were captured in 2020 (n = 8) compared to 2019 (n = 126). Pre-baiting surveys for 2020 and 2021 suggested that the population of feral cats on Matuwa was very low, at 5.5 and 4.4 cats/100 km, respectively, which is well below our target threshold of 10 cats/100 km. Post-baiting surveys then recorded 3.6 and 3.0 cats/100 km, respectively, which still equates to a 35% and 32% reduction in cat activity. Track counts recorded significantly more feral cats than camera traps and were cheaper to implement. We recommend that at least two methods of monitoring cats be implemented to prevent erroneous conclusions.
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Higashide D, Kuriyama T, Takagi S, Nakashima Y, Fukasawa K, Yajima G, Kasada M, Yokoyama M. Effectiveness of signs of activity as relative abundance indices for wild boar. WILDLIFE BIOLOGY 2021. [DOI: 10.2981/wlb.00869] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Daishi Higashide
- D. Higashide (https://orcid.org/0000-0003-1186-1263) ✉ , T. Kuriyama, S. Takagi and M. Yokoyama, Inst. of Natural and Environmental Science, Univ. of Hyogo, Aogaki, Tamba, Hyogo, Japan. DH also at: Research Center for Wildlife Management, Gifu Univ
| | - Takeo Kuriyama
- D. Higashide (https://orcid.org/0000-0003-1186-1263) ✉ , T. Kuriyama, S. Takagi and M. Yokoyama, Inst. of Natural and Environmental Science, Univ. of Hyogo, Aogaki, Tamba, Hyogo, Japan. DH also at: Research Center for Wildlife Management, Gifu Univ
| | - Shun Takagi
- D. Higashide (https://orcid.org/0000-0003-1186-1263) ✉ , T. Kuriyama, S. Takagi and M. Yokoyama, Inst. of Natural and Environmental Science, Univ. of Hyogo, Aogaki, Tamba, Hyogo, Japan. DH also at: Research Center for Wildlife Management, Gifu Univ
| | - Yoshihiro Nakashima
- Y. Nakashima and G. Yajima, College of Bioresource Science, Nihon Univ., Fujisawa, Kanagawa, Japan
| | - Keita Fukasawa
- K. Fukasawa, Biodiversity Division, National Inst. for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Gota Yajima
- Y. Nakashima and G. Yajima, College of Bioresource Science, Nihon Univ., Fujisawa, Kanagawa, Japan
| | - Minoru Kasada
- M. Kasada, Graduate School of Agriculture and Life Sciences, Univ. of Tokyo, Bunkyo-ku, Tokyo, Japan and Graduate School of Life Sciences, Tohoku Univ., Aramaki, Aoba-ku, Sendai, Miyagi, Japan
| | - Mayumi Yokoyama
- D. Higashide (https://orcid.org/0000-0003-1186-1263) ✉ , T. Kuriyama, S. Takagi and M. Yokoyama, Inst. of Natural and Environmental Science, Univ. of Hyogo, Aogaki, Tamba, Hyogo, Japan. DH also at: Research Center for Wildlife Management, Gifu Univ
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12
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Lewis JS, Spaulding S, Swanson H, Keeley W, Gramza AR, VandeWoude S, Crooks KR. Human activity influences wildlife populations and activity patterns: implications for spatial and temporal refuges. Ecosphere 2021. [DOI: 10.1002/ecs2.3487] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Affiliation(s)
- Jesse S. Lewis
- College of Integrative Sciences and Arts Arizona State University Mesa Arizona85212USA
| | - Susan Spaulding
- Boulder County Parks and Open Space Longmont Colorado80503USA
| | - Heather Swanson
- City of Boulder Open Space and Mountain Parks Boulder Colorado80303USA
| | - William Keeley
- City of Boulder Open Space and Mountain Parks Boulder Colorado80303USA
| | - Ashley R. Gramza
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado80523USA
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology Colorado State University Fort Collins Colorado80523USA
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado80523USA
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13
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Yamauchi A. Message from the new Editor‐in‐Chief. POPUL ECOL 2021. [DOI: 10.1002/1438-390x.12077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Atsushi Yamauchi
- Center for Ecological Research, Kyoto University, Hirano 2‐509‐3 Otsu 520‐2113 Japan
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Iijima H. A Review of Wildlife Abundance Estimation Models: Comparison of Models for Correct Application. MAMMAL STUDY 2020. [DOI: 10.3106/ms2019-0082] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Hayato Iijima
- Forestry and Forest Products Research Institute, Matsunosato 1, Tsukuba, Ibaraki 305-8687, Japan
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