Assessing behaviour states of a forest carnivore in a road-dominated landscape using hidden Markov models
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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. |
id |
RCAP_630932179b13d36f4cd2701ce9cd7f06 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/33348 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Nature Conservation |
publisher.none.fl_str_mv |
Nature Conservation |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1822181950262083584 |
dc.identifier.doi.none.fl_str_mv |
10.3897/natureconservation.47.72781 |