Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Biota Neotropica |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032019000400205 |
Resumo: | Abstract: Despite the great impacts of invasive wild pig (Sus scrofa) to natural ecosystems, habitat use by this species in the neotropics remains poorly studied. Here, we investigated the effects of local habitat and landscape covariates (vegetation types, running watercourses and roads) on occupancy patterns of wild pig in the Atlantic Forest of southern Brazil. We used single season occupancy modeling to estimate detection (p) and occupancy (ψ) probabilities, using 8-day camera-trap monitoring of 100 sampled sites. The cameras detected wild pig in 64 sites (naïve occupancy = 64 %). The four best models explained 72.7 % of the occupancy patterns, and the top model (with "water" variable) had a weight of 28.5 %. Even though none of the tested variables had high explanatory power of wild pig occupancy, the water variable had a negative effect trend (β = -1.124; SE = 0.734), with 59 % of occupancy when water was present and 82 % when it was absent around the sampling sites. Vestiges of the presence of wild pig in different vegetation types revealed that they used plantations of Pinus sp., native forests, and corn and oat crops. The occupation pattern shows that wild pig are generalist at our study site at the Atlantic Forest being found everywhere, raising ecological and economic concerns about the high potential negative effects of its invasion. |
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Biota Neotropica |
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Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forestOccupancy modelingferal pigwild boarlandscapeNeotropicsAbstract: Despite the great impacts of invasive wild pig (Sus scrofa) to natural ecosystems, habitat use by this species in the neotropics remains poorly studied. Here, we investigated the effects of local habitat and landscape covariates (vegetation types, running watercourses and roads) on occupancy patterns of wild pig in the Atlantic Forest of southern Brazil. We used single season occupancy modeling to estimate detection (p) and occupancy (ψ) probabilities, using 8-day camera-trap monitoring of 100 sampled sites. The cameras detected wild pig in 64 sites (naïve occupancy = 64 %). The four best models explained 72.7 % of the occupancy patterns, and the top model (with "water" variable) had a weight of 28.5 %. Even though none of the tested variables had high explanatory power of wild pig occupancy, the water variable had a negative effect trend (β = -1.124; SE = 0.734), with 59 % of occupancy when water was present and 82 % when it was absent around the sampling sites. Vestiges of the presence of wild pig in different vegetation types revealed that they used plantations of Pinus sp., native forests, and corn and oat crops. The occupation pattern shows that wild pig are generalist at our study site at the Atlantic Forest being found everywhere, raising ecological and economic concerns about the high potential negative effects of its invasion.Instituto Virtual da Biodiversidade | BIOTA - FAPESP2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032019000400205Biota Neotropica v.19 n.4 2019reponame:Biota Neotropicainstname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP)instacron:BIOTA - FAPESP10.1590/1676-0611-bn-2018-0719info:eu-repo/semantics/openAccessHegel,Carla Grasiele ZaninSantos,Luane Reis dosPichorim,MauroMarini,Miguel Ângeloeng2019-09-04T00:00:00Zoai:scielo:S1676-06032019000400205Revistahttps://www.biotaneotropica.org.br/v20n1/pt/https://old.scielo.br/oai/scielo-oai.php||juliosa@unifap.br1676-06111676-0611opendoar:2019-09-04T00:00Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP)false |
dc.title.none.fl_str_mv |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
title |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
spellingShingle |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest Hegel,Carla Grasiele Zanin Occupancy modeling feral pig wild boar landscape Neotropics |
title_short |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
title_full |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
title_fullStr |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
title_full_unstemmed |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
title_sort |
Wild pig (Sus scrofa L.) occupancy patterns in the Brazilian Atlantic forest |
author |
Hegel,Carla Grasiele Zanin |
author_facet |
Hegel,Carla Grasiele Zanin Santos,Luane Reis dos Pichorim,Mauro Marini,Miguel Ângelo |
author_role |
author |
author2 |
Santos,Luane Reis dos Pichorim,Mauro Marini,Miguel Ângelo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Hegel,Carla Grasiele Zanin Santos,Luane Reis dos Pichorim,Mauro Marini,Miguel Ângelo |
dc.subject.por.fl_str_mv |
Occupancy modeling feral pig wild boar landscape Neotropics |
topic |
Occupancy modeling feral pig wild boar landscape Neotropics |
description |
Abstract: Despite the great impacts of invasive wild pig (Sus scrofa) to natural ecosystems, habitat use by this species in the neotropics remains poorly studied. Here, we investigated the effects of local habitat and landscape covariates (vegetation types, running watercourses and roads) on occupancy patterns of wild pig in the Atlantic Forest of southern Brazil. We used single season occupancy modeling to estimate detection (p) and occupancy (ψ) probabilities, using 8-day camera-trap monitoring of 100 sampled sites. The cameras detected wild pig in 64 sites (naïve occupancy = 64 %). The four best models explained 72.7 % of the occupancy patterns, and the top model (with "water" variable) had a weight of 28.5 %. Even though none of the tested variables had high explanatory power of wild pig occupancy, the water variable had a negative effect trend (β = -1.124; SE = 0.734), with 59 % of occupancy when water was present and 82 % when it was absent around the sampling sites. Vestiges of the presence of wild pig in different vegetation types revealed that they used plantations of Pinus sp., native forests, and corn and oat crops. The occupation pattern shows that wild pig are generalist at our study site at the Atlantic Forest being found everywhere, raising ecological and economic concerns about the high potential negative effects of its invasion. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032019000400205 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032019000400205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1676-0611-bn-2018-0719 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Virtual da Biodiversidade | BIOTA - FAPESP |
publisher.none.fl_str_mv |
Instituto Virtual da Biodiversidade | BIOTA - FAPESP |
dc.source.none.fl_str_mv |
Biota Neotropica v.19 n.4 2019 reponame:Biota Neotropica instname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP) instacron:BIOTA - FAPESP |
instname_str |
Instituto Virtual da Biodiversidade (BIOTA-FAPESP) |
instacron_str |
BIOTA - FAPESP |
institution |
BIOTA - FAPESP |
reponame_str |
Biota Neotropica |
collection |
Biota Neotropica |
repository.name.fl_str_mv |
Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP) |
repository.mail.fl_str_mv |
||juliosa@unifap.br |
_version_ |
1754575901450829824 |