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Mixed Effects Models and Extensions in Ecology with R
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In this paper, the authors apply additive mixed modelling on phyoplankton time series data and show that the additive model can be used to estimate the age distribution of small cetaceans.Abstract:
Limitations of linear regression applied on ecological data. - Things are not always linear additive modelling. - Dealing with hetergeneity. - Mixed modelling for nested data. - Violation of independence - temporal data. - Violation of independence spatial data. - Generalised linear modelling and generalised additive modelling. - Generalised estimation equations. - GLMM and GAMM. - Estimating trends for Antarctic birds in relation to climate change. - Large-scale impacts of land-use change in a Scottish farming catchment. - Negative binomial GAM and GAMM to analyse amphibian road killings. - Additive mixed modelling applied on deep-sea plagic bioluminescent organisms. - Additive mixed modelling applied on phyoplankton time series data. - Mixed modelling applied on American Fouldbrood affecting honey bees larvae. - Three-way nested data for age determination techniques applied to small cetaceans. - GLMM applied on the spatial distribution of koalas in a fragmented landscape. - GEE and GLMM applied on binomial Badger activity data.read more
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Influence of multi-scale landscape structure on the occurrence of carnivorous mammals in a human-modified savanna, Brazil
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Are personality differences in a small iteroparous mammal maintained by a life-history trade-off?
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Spatial and temporal interactions between livestock and wildlife in South Central Spain assessed by camera traps.
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