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| 20. |  | MAEDA, C. K. S.; SANTOS, L. G. A. dos; IGNACIO, I. G.; SAGGIN JUNIOR, O. J.; PATREZE, C. M. Levantamento da Comunidade de Fungos Micorrízicos Arbusculares em Praias do Rio dee Janeiro. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 32.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 16.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 14.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 11., FERTBIO 2016. Goiânia. Rumo aos novos desafios: anais. Goiânia: UFG, 2016.| Biblioteca(s): Embrapa Agrobiologia. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
15/01/2016 |
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Data da última atualização: |
18/09/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
OLIVEIRA-SANTOS, L. G.; FORESTER, J. D.; PIOVEZAN, U.; TOMAS, W. M.; FERNANDEZ, F. A. S. |
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Afiliação: |
Luiz Gustavo R. Oliveira Santos, Universidade Federal do Rio de Janeiro; James D. Forester, University of Minnesota; UBIRATAN PIOVEZAN, CPAP; WALFRIDO MORAES TOMAS, CPAP; Fernando A. S. Fernandez, Universidade Federal do Rio de Janeiro. |
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Título: |
Incorporating animal spatial memory in step selection functions. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Animal Ecology, v. 85, n. 2, p. 516-524, mar. 2016 . |
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DOI: |
10.1111/1365-2656.12485 |
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Idioma: |
Inglês |
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Conteúdo: |
Memory is among the most important and neglected forces that shapes animal movement patterns. Research on the movement memory interface is crucial to understand how animals use spatial learning to navigate across space be cause memory biased navigation is directly linked to animals' space use and home range behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into Step Selection Functions (SSF) to understand how resource selection and spatial memory affect space use of feral hogs (Sus scrofa). We used Biased Random Bridge kernel estimates linked to residence time as a surrogate for memory and tested four conceptually different dynamic maps of sp atial memory. We applied this memory based SSF to a data set of hog relocations to evaluate the importance of land cover type, time of day, and spatial memory on the animals? space use. Our approach has shown how the incorporation of spatial memory into a nimal movement models can improve estimates of habitat selection. Memory based SSF provided a feasible way to gain insight into how animals use spatial learning to guide their movement decisions. We found that while hogs selected forested areas and water bodies and avoided grasslands during the day (primarily at noon), they had a strong tendency to select previously visited areas, mainly those held in recent memory. Beyond actively updating their memory with recent experiences, hogs were able to discriminat e among spatial memories encoded at different circadian phases of their activity. Even though hogs are thought to have long memory retention, they likely relied on recent experiences because the local food resources are quickly depleted and slowly renewed, yielding an uncertain spatial distribution of resources. MenosMemory is among the most important and neglected forces that shapes animal movement patterns. Research on the movement memory interface is crucial to understand how animals use spatial learning to navigate across space be cause memory biased navigation is directly linked to animals' space use and home range behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into Step Selection Functions (SSF) to understand how resource selection and spatial memory affect space use of feral hogs (Sus scrofa). We used Biased Random Bridge kernel estimates linked to residence time as a surrogate for memory and tested four conceptually different dynamic maps of sp atial memory. We applied this memory based SSF to a data set of hog relocations to evaluate the importance of land cover type, time of day, and spatial memory on the animals? space use. Our approach has shown how the incorporation of spatial memory into a nimal movement models can improve estimates of habitat selection. Memory based SSF provided a feasible way to gain insight into how animals use spatial learning to guide their movement decisions. We found that while hogs selected forested areas and water bodies and avoided grasslands during the day (primarily at noon), they had a strong tendency to select previously visited areas, mainly those held in recent memory. Beyond actively updating their memory with recent experiences, hogs were able to discrimi... Mostrar Tudo |
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Palavras-Chave: |
Animal movement; Biased Random Bridge Kernel estimation; Cognitive maps; GPS tracking; Habitat selection; Spatial memory. |
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Thesagro: |
Animal selvagem; Javali; Suíno. |
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Thesaurus NAL: |
Habitat preferences; Sus scrofa. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02700naa a2200313 a 4500
001 2033990
005 2017-09-18
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1111/1365-2656.12485$2DOI
100 1 $aOLIVEIRA-SANTOS, L. G.
245 $aIncorporating animal spatial memory in step selection functions.
260 $c2016
520 $aMemory is among the most important and neglected forces that shapes animal movement patterns. Research on the movement memory interface is crucial to understand how animals use spatial learning to navigate across space be cause memory biased navigation is directly linked to animals' space use and home range behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into Step Selection Functions (SSF) to understand how resource selection and spatial memory affect space use of feral hogs (Sus scrofa). We used Biased Random Bridge kernel estimates linked to residence time as a surrogate for memory and tested four conceptually different dynamic maps of sp atial memory. We applied this memory based SSF to a data set of hog relocations to evaluate the importance of land cover type, time of day, and spatial memory on the animals? space use. Our approach has shown how the incorporation of spatial memory into a nimal movement models can improve estimates of habitat selection. Memory based SSF provided a feasible way to gain insight into how animals use spatial learning to guide their movement decisions. We found that while hogs selected forested areas and water bodies and avoided grasslands during the day (primarily at noon), they had a strong tendency to select previously visited areas, mainly those held in recent memory. Beyond actively updating their memory with recent experiences, hogs were able to discriminat e among spatial memories encoded at different circadian phases of their activity. Even though hogs are thought to have long memory retention, they likely relied on recent experiences because the local food resources are quickly depleted and slowly renewed, yielding an uncertain spatial distribution of resources.
650 $aHabitat preferences
650 $aSus scrofa
650 $aAnimal selvagem
650 $aJavali
650 $aSuíno
653 $aAnimal movement
653 $aBiased Random Bridge Kernel estimation
653 $aCognitive maps
653 $aGPS tracking
653 $aHabitat selection
653 $aSpatial memory
700 1 $aFORESTER, J. D.
700 1 $aPIOVEZAN, U.
700 1 $aTOMAS, W. M.
700 1 $aFERNANDEZ, F. A. S.
773 $tJournal of Animal Ecology$gv. 85, n. 2, p. 516-524, mar. 2016 .
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