Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models

Detalhes bibliográficos
Autor(a) principal: Ferreira, Eduardo
Data de Publicação: 2022
Outros Autores: Valerio, Frafrancesco, Medinas, Denis, Fernandes, Nelson, Craveiro, João, Costa, Pedro, Silva, João Paulo, Carrapato, Carlos, Mira, António, Santos, Sara
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
DOI: 10.3897/natureconservation.47.72781
Texto Completo: http://hdl.handle.net/10174/33348
https://doi.org/10.3897/natureconservation.47.72781
Resumo: Anthropogenic infrastructures and land-use changes are major threats to animal movements across heterogeneous landscapes. Yet, the behavioural consequences of such constraints remain poorly understood. We investigated the relationship between the behaviour of the Common genet (Genetta genetta) and road proximity, within a dominant mixed forest-agricultural landscape in southern Portugal, fragmented by roads. Specifically, we aimed to: (i) identify and characterise the behavioural states displayed by genets and related movement patterns; and (ii) understand how behavioural states are influenced by proximity to main paved roads and landscape features. We used a multivariate Hidden Markov Model (HMM) to characterise the fine-scale movements (10-min fixes GPS) of seven genets tracked during 187 nights (mean 27 days per individual) during the period 2016–2019, using distance to major paved roads and landscape features as predictors. Our findings indicated that genet’s movement patterns were composed of three basic behavioural states, classified as “resting” (short step-lengths [mean = 10.6 m] and highly tortuous), “foraging” (intermediate step-lengths [mean = 46.1 m] and with a wide range in turning angle) and “travelling” (longer step-lengths [mean = 113.7 m] and mainly linear movements). Within the genet’s main activity-period (17.00 h-08.00 h), the movement model predicts that genets spend 36.7% of their time travelling, 35.4% foraging and 28.0% resting. The probability of genets displaying the travelling state was highest in areas far away from roads (> 500 m), whereas foraging and resting states were more likely in areas relatively close to roads (up to 500 m). Landscape features also had a pronounced effect on behaviour state occurrence. More specifically, travelling was most likely to occur in areas with lower forest edge density and close to riparian habitats, while foraging was more likely to occur in areas with higher forest edge density and far away from riparian habitats. The results suggest that, although roads represent a behavioural barrier to the movement of genets, they also take advantage of road proximity as foraging areas. Our study demonstrates that the HMM approach is useful for disentangling movement behaviour and understanding how animals respond to roadsides and fragmented habitats. We emphasise that road-engaged stakeholders need to consider movement behaviour of genets when targeting management practices to maximise road permeability for wildlife.
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spelling Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov modelsBehavioural barrierForagingGentetta genettaHabitat fragmentationMovement behaviourMovement ecologyRoad proximityAnthropogenic infrastructures and land-use changes are major threats to animal movements across heterogeneous landscapes. Yet, the behavioural consequences of such constraints remain poorly understood. We investigated the relationship between the behaviour of the Common genet (Genetta genetta) and road proximity, within a dominant mixed forest-agricultural landscape in southern Portugal, fragmented by roads. Specifically, we aimed to: (i) identify and characterise the behavioural states displayed by genets and related movement patterns; and (ii) understand how behavioural states are influenced by proximity to main paved roads and landscape features. We used a multivariate Hidden Markov Model (HMM) to characterise the fine-scale movements (10-min fixes GPS) of seven genets tracked during 187 nights (mean 27 days per individual) during the period 2016–2019, using distance to major paved roads and landscape features as predictors. Our findings indicated that genet’s movement patterns were composed of three basic behavioural states, classified as “resting” (short step-lengths [mean = 10.6 m] and highly tortuous), “foraging” (intermediate step-lengths [mean = 46.1 m] and with a wide range in turning angle) and “travelling” (longer step-lengths [mean = 113.7 m] and mainly linear movements). Within the genet’s main activity-period (17.00 h-08.00 h), the movement model predicts that genets spend 36.7% of their time travelling, 35.4% foraging and 28.0% resting. The probability of genets displaying the travelling state was highest in areas far away from roads (> 500 m), whereas foraging and resting states were more likely in areas relatively close to roads (up to 500 m). Landscape features also had a pronounced effect on behaviour state occurrence. More specifically, travelling was most likely to occur in areas with lower forest edge density and close to riparian habitats, while foraging was more likely to occur in areas with higher forest edge density and far away from riparian habitats. The results suggest that, although roads represent a behavioural barrier to the movement of genets, they also take advantage of road proximity as foraging areas. Our study demonstrates that the HMM approach is useful for disentangling movement behaviour and understanding how animals respond to roadsides and fragmented habitats. We emphasise that road-engaged stakeholders need to consider movement behaviour of genets when targeting management practices to maximise road permeability for wildlife.Comissão Europeia., Programa LIFE. Projeto LIFE LINES (LIFE14 NAT/PT/001081)Nature Conservation2023-01-10T16:41:39Z2023-01-102022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/33348http://hdl.handle.net/10174/33348https://doi.org/10.3897/natureconservation.47.72781engFerreira, E.; Valerio, F.; Medinas, D.; Fernandes, N.; Craveiro, J.; Costa, P.; Silva, J.P.; Carrapato, C.; Mira, A. Santos, S. 2022. Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models. Nature Conservation,47: 155-175.155-175https://natureconservation.pensoft.net/article/72781/47Nature ConservationMED; Dep. Biologiaferreiraeduardo.mr@gmail.comfvalerio@uevora.ptdenism@uevora.ptndjncraveiro@hotmail.comndjpsilva@cibio.up.ptndamira@uevora.ptsmsantos@uevora.pt221Ferreira, EduardoValerio, FrafrancescoMedinas, DenisFernandes, NelsonCraveiro, JoãoCosta, PedroSilva, João PauloCarrapato, CarlosMira, AntónioSantos, Sarainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:35:04Zoai:dspace.uevora.pt:10174/33348Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:22:11.199709Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
title Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
spellingShingle Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
Ferreira, Eduardo
Behavioural barrier
Foraging
Gentetta genetta
Habitat fragmentation
Movement behaviour
Movement ecology
Road proximity
Ferreira, Eduardo
Behavioural barrier
Foraging
Gentetta genetta
Habitat fragmentation
Movement behaviour
Movement ecology
Road proximity
title_short Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
title_full Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
title_fullStr Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
title_full_unstemmed Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
title_sort Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
author Ferreira, Eduardo
author_facet Ferreira, Eduardo
Ferreira, Eduardo
Valerio, Frafrancesco
Medinas, Denis
Fernandes, Nelson
Craveiro, João
Costa, Pedro
Silva, João Paulo
Carrapato, Carlos
Mira, António
Santos, Sara
Valerio, Frafrancesco
Medinas, Denis
Fernandes, Nelson
Craveiro, João
Costa, Pedro
Silva, João Paulo
Carrapato, Carlos
Mira, António
Santos, Sara
author_role author
author2 Valerio, Frafrancesco
Medinas, Denis
Fernandes, Nelson
Craveiro, João
Costa, Pedro
Silva, João Paulo
Carrapato, Carlos
Mira, António
Santos, Sara
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ferreira, Eduardo
Valerio, Frafrancesco
Medinas, Denis
Fernandes, Nelson
Craveiro, João
Costa, Pedro
Silva, João Paulo
Carrapato, Carlos
Mira, António
Santos, Sara
dc.subject.por.fl_str_mv Behavioural barrier
Foraging
Gentetta genetta
Habitat fragmentation
Movement behaviour
Movement ecology
Road proximity
topic Behavioural barrier
Foraging
Gentetta genetta
Habitat fragmentation
Movement behaviour
Movement ecology
Road proximity
description Anthropogenic infrastructures and land-use changes are major threats to animal movements across heterogeneous landscapes. Yet, the behavioural consequences of such constraints remain poorly understood. We investigated the relationship between the behaviour of the Common genet (Genetta genetta) and road proximity, within a dominant mixed forest-agricultural landscape in southern Portugal, fragmented by roads. Specifically, we aimed to: (i) identify and characterise the behavioural states displayed by genets and related movement patterns; and (ii) understand how behavioural states are influenced by proximity to main paved roads and landscape features. We used a multivariate Hidden Markov Model (HMM) to characterise the fine-scale movements (10-min fixes GPS) of seven genets tracked during 187 nights (mean 27 days per individual) during the period 2016–2019, using distance to major paved roads and landscape features as predictors. Our findings indicated that genet’s movement patterns were composed of three basic behavioural states, classified as “resting” (short step-lengths [mean = 10.6 m] and highly tortuous), “foraging” (intermediate step-lengths [mean = 46.1 m] and with a wide range in turning angle) and “travelling” (longer step-lengths [mean = 113.7 m] and mainly linear movements). Within the genet’s main activity-period (17.00 h-08.00 h), the movement model predicts that genets spend 36.7% of their time travelling, 35.4% foraging and 28.0% resting. The probability of genets displaying the travelling state was highest in areas far away from roads (> 500 m), whereas foraging and resting states were more likely in areas relatively close to roads (up to 500 m). Landscape features also had a pronounced effect on behaviour state occurrence. More specifically, travelling was most likely to occur in areas with lower forest edge density and close to riparian habitats, while foraging was more likely to occur in areas with higher forest edge density and far away from riparian habitats. The results suggest that, although roads represent a behavioural barrier to the movement of genets, they also take advantage of road proximity as foraging areas. Our study demonstrates that the HMM approach is useful for disentangling movement behaviour and understanding how animals respond to roadsides and fragmented habitats. We emphasise that road-engaged stakeholders need to consider movement behaviour of genets when targeting management practices to maximise road permeability for wildlife.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01T00:00:00Z
2023-01-10T16:41:39Z
2023-01-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/33348
http://hdl.handle.net/10174/33348
https://doi.org/10.3897/natureconservation.47.72781
url http://hdl.handle.net/10174/33348
https://doi.org/10.3897/natureconservation.47.72781
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ferreira, E.; Valerio, F.; Medinas, D.; Fernandes, N.; Craveiro, J.; Costa, P.; Silva, J.P.; Carrapato, C.; Mira, A. Santos, S. 2022. Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models. Nature Conservation,47: 155-175.
155-175
https://natureconservation.pensoft.net/article/72781/
47
Nature Conservation
MED; Dep. Biologia
ferreiraeduardo.mr@gmail.com
fvalerio@uevora.pt
denism@uevora.pt
nd
jncraveiro@hotmail.com
nd
jpsilva@cibio.up.pt
nd
amira@uevora.pt
smsantos@uevora.pt
221
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dc.publisher.none.fl_str_mv Nature Conservation
publisher.none.fl_str_mv Nature Conservation
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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dc.identifier.doi.none.fl_str_mv 10.3897/natureconservation.47.72781