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| CAMPOS, Z. M. da S.; MOURÃO, G. de M.; COUTINHO, M. E.; MAGNUSSON, W.. |
| O estudo dos padrões de movimento dos jacarés do Pantanal ocorreu em uma área de lagos isolados e em uma área cortada por rios intermitentes no Pantanal. Foram marcados jacarés em 100 lagos, na área de lagos (1986-2001), e em 2 rios, na área de rios (1987-1999), recapturados 163 machos adultos, 132 fêmeas adultas e 237 jovens e monitorados 67 jacarés adultos por radiotelemetria nas duas áreas. No intervalo de 2 anos, a maioria dos jovens moveram-se apenas dentro da área de lagos ou da de rios, numa distância máxima de 6,0 km (x = 0,5; DP = 1,0 km), na área de lagos, e de 1,25 km (x= 0,6; DP = 0,3 km), na área de rios. Somente cinco jovens marcados nos lagos foram recapturados depois de um intervalo de 5 a 10 anos. Um jovem permaneceu na área de lago e... |
| Tipo: Boletim de Pesquisa e Desenvolvimento (INFOTECA-E) |
Palavras-chave: Yacare; Movement ecology; Dispersion; Caimans; Management.; Dispersão; Ecologia; Manejo; Jacaré; Movimento.; Pantanal.. |
| Ano: 2004 |
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/811107 |
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| Mcclintock, Brett T.; Langrock, Roland; Gimenez, Olivier; Cam, Emmanuelle; Borchers, David L.; Glennie, Richard; Patterson, Toby A.; Coulson, Tim. |
| Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities or entire ecosystems through time. Owing to the inherent difficulty of empirical field studies, ecological state dynamics operating at any level of this hierarchy can often be unobservable or ‘hidden’. Ecologists must therefore often contend with incomplete or indirect observations that are somehow related to these underlying processes. By formally disentangling state and observation processes based on simple yet powerful mathematical properties that can be used to describe many ecological phenomena, hidden Markov models (HMMs) can facilitate inferences about complex system state dynamics that might otherwise... |
| Tipo: Text |
Palavras-chave: Behavioural ecology; Community ecology; Ecosystem ecology; Hierarchical model; Movement ecology; Observation error; Population ecology; State-space model; Time series. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00655/76692/77831.pdf |
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| Heerah, Karine; Woillez, Mathieu; Fablet, Ronan; Garren, Francois; Martin, Stephane; De Pontual, Helene. |
| Background Movement pattern variations are reflective of behavioural switches, likely associated with different life history traits in response to the animals’ abiotic and biotic environment. Detecting these can provide rich information on the underlying processes driving animal movement patterns. However, extracting these signals from movement time series, requires tools that objectively extract, describe and quantify these behaviours. The inference of behavioural modes from movement patterns has been mainly addressed through hidden Markov models. Until now, the metrics implemented in these models did not allow to characterize cyclic patterns directly from the raw time series. To address these challenges, we developed an approach to i) extract new metrics... |
| Tipo: Text |
Palavras-chave: Fourier transform; Non negative matrix factorization; Classification; Animal behaviour; European sea bass; Movement ecology; Diurnal and tidal cycles; Biologging; Data storage tags. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00402/51400/51974.pdf |
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| Heerah, Karine; Cox, Samantha; Blevin, Pierre; Guinet, Christophe; Charrassin, Jean-benoît. |
| Dive data collected from archival and satellite tags can provide valuable information on foraging activity via the characterization of movement patterns (e.g., wiggles, hunting time). However, a lack of validation limits interpretation of what these metrics truly represent in terms of behavior and how predators interact with prey. Head-mounted accelerometers have proven to be effective for detecting prey catch attempt (PrCA) behaviors, and thus can provide a more direct measure of foraging activity. However, device retrieval is typically required to access the high-resolution data they record, restricting use to animals returning to predictable locations. In this study, we present and validate data obtained from newly developed satellite-relay data tags,... |
| Tipo: Text |
Palavras-chave: Satellite relayed data logger; Accelerometers; Diving behavior; Movement ecology; Foraging; Sea-ice; Biologging. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00595/70687/68895.pdf |
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| Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; Choquet, Remi; Dray, Stephane; Etienne, Marie-pierre; Fewster, Rachel; Gosselin, Frederic; Merigot, Bastien; Monestiez, Pascal; Morales, Juan M.; Mortier, Frederic; Munoz, Francois; Ovaskainen, Otso; Pavoine, Sandrine; Pradel, Roger; Schurr, Frank M.; Thomas, Len; Thuiller, Wilfried; Trenkel, Verena; De Valpine, Perry; Rexstad, Eric. |
| The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology. Statistical ecology has gelled over the past decade as a discipline that moves away from describing patterns towards modelling the ecological processes that generate these patterns. Following the fourth International Statistical Ecology Conference (1–4 July 2014) in Montpellier, France, we analyse current trends in statistical ecology. Important advances in the analysis of individual movement, and in the modelling of population dynamics and species distributions, are made possible by the increasing use of hierarchical and hidden process models. Exciting research perspectives... |
| Tipo: Text |
Palavras-chave: Citizen science; Hidden Markov model; Hierarchical model; Movement ecology; Software package; Spatially explicit capture-recapture; Species distribution modelling; State-space model. |
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00249/36026/35298.pdf |
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