Publicação

Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking

Ver documento

Detalhes bibliográficos
Resumo:The European wild rabbit, Oryctolagus cuniculus, is a key species in the Iberian ecosystems. However, its populations are seriously depleted. Therefore, the development of habitat suitability models could be an important step towards the establishment of management and recovery plans. An habitat suitability model was developed for the rabbit in the 4,606 ha of the Peneda-Gerês National Park (northern Portugal). The framework was based on 3 steps: (1) construction of an habitat suitability model using the logistic regression of presence/absence of rabbits on habitat variables, (2) location of suitable habitat on a map, with the help of a Geographic Information System (GIS), by applying the above-obtained regression coefficients to the digitalized data of a land-cover map, and (3) delineation of the best potential sites for restocking. In June-July 2000, presence/absence of rabbits was determined by the presence/absence of pellets, warrens and individuals on 86 100-m radius random circular plots, i.e. 3.14 ha each representing the area occupied by a family group in summer. The initial dataset was divided into 56 sampling plots to build the model and 30 sampling plots (15 with rabbits and 15 without rabbits) for cross-validation. Measured habitat variables were % cover of tall scrubland, % cover of rocks, and interspersion (an index measuring the amount of intermixture of forage and shelter patches). These variables were calculated for all pixels of a digital land-cover map, using a moving 100-m radius window approach. Plots on which wild rabbits were present had a mean 10+3.4%(SE) percentage of rocks, 16.3+3.8% percentage of tall scrubland and an interspersion index of 0.9+0.09 (vs 1.3+0.7, 2.7+1.5 and 0.4+0.05 for “absence” plots, P < 0.05). The logistic model revealed an overall prediction success of 86.7%. The percentage of true correctly-predicted positives was 93.3% and the percentage of true correctly-predicted negatives was 80.0% (cut-off level at p = 50%). Model results showed that 34.5% of the area provided suitable rabbit habitat (P > 50%), distributed over 106 patches. Three clusters of suitable patches were delineated, assuming a critical threshold distance of 200 m between neighbour patches (distance equal to the mean dispersal ability of rabbits) for their inclusion into the same group. In that way, an area of 508.7 ha (11% of the study area) including the best potential site for restocking was delineated. Results suggested that management efforts should be aimed at promoting the connection between the three habitat-patch clusters. The framework presented provides a method for accurate and rapid assessment of habitats suitable for wild rabbit and could assist managers in identifying the best potential restocking sites.
Autores principais:Carvalho, J. C.
Outros Autores:Gomes, Pedro
Assunto:European wild rabbit Oryctolagus cuniculus Geographic information system GIS Habitat model Logistic regression Restocking Portugal
Ano:2003
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
_version_ 1866269538400600064
author Carvalho, J. C.
author2 Gomes, Pedro
author2_role author
author_facet Carvalho, J. C.
Gomes, Pedro
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Carvalho, J. C.\"},{\"Person.name\":\"Gomes, Pedro\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Carvalho, J. C.
Gomes, Pedro
datacite.date.Accepted.fl_str_mv 2003-12-01T00:00:00Z
datacite.date.available.fl_str_mv 2005-06-13T13:30:22Z
datacite.date.embargoed.fl_str_mv 2005-06-13T13:30:22Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
datacite.titles.title.fl_str_mv Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Carvalho, J. C.
Gomes, Pedro
dc.date.Accepted.fl_str_mv 2003-12-01T00:00:00Z
dc.date.available.fl_str_mv 2005-06-13T13:30:22Z
dc.date.embargoed.fl_str_mv 2005-06-13T13:30:22Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/2161
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Office National de la Chasse et de la Faune Sauvage
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
dc.title.fl_str_mv Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The European wild rabbit, Oryctolagus cuniculus, is a key species in the Iberian ecosystems. However, its populations are seriously depleted. Therefore, the development of habitat suitability models could be an important step towards the establishment of management and recovery plans. An habitat suitability model was developed for the rabbit in the 4,606 ha of the Peneda-Gerês National Park (northern Portugal). The framework was based on 3 steps: (1) construction of an habitat suitability model using the logistic regression of presence/absence of rabbits on habitat variables, (2) location of suitable habitat on a map, with the help of a Geographic Information System (GIS), by applying the above-obtained regression coefficients to the digitalized data of a land-cover map, and (3) delineation of the best potential sites for restocking. In June-July 2000, presence/absence of rabbits was determined by the presence/absence of pellets, warrens and individuals on 86 100-m radius random circular plots, i.e. 3.14 ha each representing the area occupied by a family group in summer. The initial dataset was divided into 56 sampling plots to build the model and 30 sampling plots (15 with rabbits and 15 without rabbits) for cross-validation. Measured habitat variables were % cover of tall scrubland, % cover of rocks, and interspersion (an index measuring the amount of intermixture of forage and shelter patches). These variables were calculated for all pixels of a digital land-cover map, using a moving 100-m radius window approach. Plots on which wild rabbits were present had a mean 10+3.4%(SE) percentage of rocks, 16.3+3.8% percentage of tall scrubland and an interspersion index of 0.9+0.09 (vs 1.3+0.7, 2.7+1.5 and 0.4+0.05 for “absence” plots, P < 0.05). The logistic model revealed an overall prediction success of 86.7%. The percentage of true correctly-predicted positives was 93.3% and the percentage of true correctly-predicted negatives was 80.0% (cut-off level at p = 50%). Model results showed that 34.5% of the area provided suitable rabbit habitat (P > 50%), distributed over 106 patches. Three clusters of suitable patches were delineated, assuming a critical threshold distance of 200 m between neighbour patches (distance equal to the mean dispersal ability of rabbits) for their inclusion into the same group. In that way, an area of 508.7 ha (11% of the study area) including the best potential site for restocking was delineated. Results suggested that management efforts should be aimed at promoting the connection between the three habitat-patch clusters. The framework presented provides a method for accurate and rapid assessment of habitats suitable for wild rabbit and could assist managers in identifying the best potential restocking sites.
dirty 0
eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://prod-dspace.uminho.pt/bitstreams/b78a8406-7c4a-4467-b187-433416a58959/download
id rum_de453ba0e63dd3cb0dacd3e80a21488b
identifier.url.fl_str_mv https://hdl.handle.net/1822/2161
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/2161
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Carvalho, J. C.
Gomes, Pedro
publishDate 2003
publisher.none.fl_str_mv Office National de la Chasse et de la Faune Sauvage
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engOffice National de la Chasse et de la Faune SauvageengThe European wild rabbit, Oryctolagus cuniculus, is a key species in the Iberian ecosystems. However, its populations are seriously depleted. Therefore, the development of habitat suitability models could be an important step towards the establishment of management and recovery plans. An habitat suitability model was developed for the rabbit in the 4,606 ha of the Peneda-Gerês National Park (northern Portugal). The framework was based on 3 steps: (1) construction of an habitat suitability model using the logistic regression of presence/absence of rabbits on habitat variables, (2) location of suitable habitat on a map, with the help of a Geographic Information System (GIS), by applying the above-obtained regression coefficients to the digitalized data of a land-cover map, and (3) delineation of the best potential sites for restocking. In June-July 2000, presence/absence of rabbits was determined by the presence/absence of pellets, warrens and individuals on 86 100-m radius random circular plots, i.e. 3.14 ha each representing the area occupied by a family group in summer. The initial dataset was divided into 56 sampling plots to build the model and 30 sampling plots (15 with rabbits and 15 without rabbits) for cross-validation. Measured habitat variables were % cover of tall scrubland, % cover of rocks, and interspersion (an index measuring the amount of intermixture of forage and shelter patches). These variables were calculated for all pixels of a digital land-cover map, using a moving 100-m radius window approach. Plots on which wild rabbits were present had a mean 10+3.4%(SE) percentage of rocks, 16.3+3.8% percentage of tall scrubland and an interspersion index of 0.9+0.09 (vs 1.3+0.7, 2.7+1.5 and 0.4+0.05 for “absence” plots, P < 0.05). The logistic model revealed an overall prediction success of 86.7%. The percentage of true correctly-predicted positives was 93.3% and the percentage of true correctly-predicted negatives was 80.0% (cut-off level at p = 50%). Model results showed that 34.5% of the area provided suitable rabbit habitat (P > 50%), distributed over 106 patches. Three clusters of suitable patches were delineated, assuming a critical threshold distance of 200 m between neighbour patches (distance equal to the mean dispersal ability of rabbits) for their inclusion into the same group. In that way, an area of 508.7 ha (11% of the study area) including the best potential site for restocking was delineated. Results suggested that management efforts should be aimed at promoting the connection between the three habitat-patch clusters. The framework presented provides a method for accurate and rapid assessment of habitats suitable for wild rabbit and could assist managers in identifying the best potential restocking sites.application/pdfengHabitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restockingCarvalho, J. C.Gomes, PedroHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf1622-76622005-06-13T13:30:22Z2003-122003-12-01T00:00:00ZHandlehttps://hdl.handle.net/1822/2161http://purl.org/coar/access_right/c_abf2open accessEuropean wild rabbitOryctolagus cuniculusGeographic information systemGISHabitat modelLogistic regressionRestockingPortugal217204 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/b78a8406-7c4a-4467-b187-433416a58959/download
spellingShingle Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
Carvalho, J. C.
European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
status SINGLETON
subject.fl_str_mv European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
title Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
title_full Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
title_fullStr Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
title_full_unstemmed Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
title_short Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
title_sort Habitat suitability model for european wild rabbit (Oryctolagus cuniculus) with implications for restocking
topic European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
topic_facet European wild rabbit
Oryctolagus cuniculus
Geographic information system
GIS
Habitat model
Logistic regression
Restocking
Portugal
url https://hdl.handle.net/1822/2161
visible 1