{"id":40,"date":"2015-07-24T15:51:33","date_gmt":"2015-07-24T14:51:33","guid":{"rendered":"http:\/\/blogs.kent.ac.uk\/seak\/?p=40"},"modified":"2015-12-19T09:51:09","modified_gmt":"2015-12-19T09:51:09","slug":"ncse-summer-meeting","status":"publish","type":"post","link":"https:\/\/blogs.kent.ac.uk\/seak\/2015\/07\/24\/ncse-summer-meeting\/","title":{"rendered":"NCSE summer Meeting"},"content":{"rendered":"<p>Byron Morgan, Rachel McCrea, Anita Jeyam, Ming Zhou, Natoya Jourdain, Takis Besbeas, Emily Dennis, Bee Kumphakarm and Diana Cole attended the NCSE summer meeting from 29th June to 1st July at the Penryn campus of the University of Exeter, outside Falmouth, Cornwall.<\/p>\n<p><strong>Rachel <\/strong>gave a talk on <strong><span style=\"font-size: medium\">Multistate modelling of guppy data<\/span><\/strong><span style=\"font-size: medium\">.<\/span><\/p>\n<p><span style=\"font-size: medium\">Guppies inhabit streams in Trinidad and habitats can be categorised into high and low predation areas. Experimental transplants of guppies from high to low predation streams were performed in 2008 and 2009. All introduced fish were adult and individually marked at introduction and mark-recapture data is collected each month, along with individual level data is also collected as well as location in the steam data.\u00a0She<\/span> discussed the challenges of analysing these data and presented modelling approaches for answering key ecological questions.<\/p>\n<p><strong>Natoya<\/strong> gave a talk on <strong>Abundance estimation using integrated modelling of unmarked animal data from camera traps<\/strong>.<\/p>\n<p>She talked about\u00a0using camera trap data to estimate animal density when the animals do not have unique markings, using the random encounter model.<\/p>\n<p><a href=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NatoyaNCSE.jpg\"><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-100\" src=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NatoyaNCSE-300x200.jpg\" alt=\"NatoyaNCSE\" width=\"300\" height=\"200\" srcset=\"https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NatoyaNCSE-300x200.jpg 300w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NatoyaNCSE.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><strong>Byron<\/strong> gave a talk on <strong>Modelling\u00a0meetkats<\/strong><\/p>\n<p>He presented results from a multi-state analysis of Meerkats. Interesting features include the facts that the animals live in social groups, and are cooperative breeders: usually only the dominant female in each group reproduces, and other females assist the dominant female. There is a remarkable discrepancy in lifespans, with the dominant females greatly outliving other females.<\/p>\n<p><a href=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/ByronNCSE.jpg\"><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-98\" src=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/ByronNCSE-300x200.jpg\" alt=\"ByronNCSE\" width=\"300\" height=\"200\" srcset=\"https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/ByronNCSE-300x200.jpg 300w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/ByronNCSE.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><strong>Anita<\/strong> gave a talk on<strong> Detecting heterogeneity in capture-recapture models: diagnostic goodness-of-fit tests<\/strong><\/p>\n<p>Capture-recapture models have increased in complexity in order to be more biologically realistic. It is possible to fit many models to the same dataset, and the best model is generally chosen using information criteria, which will select the least worst model among the subset of tested models. Hence, it is important to check that candidate models fit the data adequately. She\u00a0presented work investigating\u00a0the use of diagnostic goodness-of-fit tests to find out whether this type of heterogeneity can be detected and specifically identified: for instance, does heterogeneity in capture affect the tests differently from a combination of trap-dependence and transience?\u00a0She derived a specific diagnostic test for heterogeneity in capture and use simulation to assess its performance.<\/p>\n<p><a href=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/AnitaNCSE.jpg\"><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-97\" src=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/AnitaNCSE-300x200.jpg\" alt=\"AnitaNCSE\" width=\"300\" height=\"200\" srcset=\"https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/AnitaNCSE-300x200.jpg 300w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/AnitaNCSE.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><strong>Takis<\/strong> talked about <strong>Efficient model-fitting for N-mixtures<\/strong><\/p>\n<p>Estimating population abundance is an important component of ecological research. N-mixture models can be used to estimate animal abundance from counts with both spatial and temporal replication without requiring individuals to be indentified. The original N-mixture model was developed for closed populations but the model has been recently extended to open populations by including population dynamics parameters. The models offer great potential but require an upper bound to be set, which complicates computations.\u00a0Takis discussed efficient methods for fitting N-mixtures based on latent-state modelling.<\/p>\n<p><strong>Emily<\/strong> talked about <strong>Dynamic models for longitudinal butterfly data<\/strong><\/p>\n<p>Butterfly populations are undergoing changes in abundance, phenology and voltinism. As they respond sensitively and rapidly to changes in habitat and climate, their population status is a valuable indicator for changes in biodiversity and phenology. Emily presented models which provide succinct descriptions of seasonal insect count data from consecutive years.\u00a0She demonstrated that her\u00a0approach produced estimates of the key parameters of brood productivities, making the data from each brood a function of those in the previous brood.<\/p>\n<p><strong>Diana<\/strong> talked about <strong>Likelihood Profiles and Parameter Redundancy<\/strong><\/p>\n<p>She talked about how likelihood profiles can be used to detect parameter redundancy and also find estimable parameter combinations in parameter redundant models.<\/p>\n<p><strong>Bee<\/strong> talked about <strong>Approximate pseudo likelihood estimation of species richness<\/strong><\/p>\n<p><span style=\"font-size: medium\">The distribution of the number of distinct species in a random sample of individuals from a population, where different species have unequal probabilities of selection, is known exactly, but the exact form is computationally intractable except for small samples. <\/span><span style=\"font-size: medium\">She talked an improved approximation is proposed and the performance of Hidaka\u2019s method is explored. <\/span><\/p>\n<p><strong>Ming<\/strong> talked about <strong>The development of removal models with a hidden state: A case study for reptile and amphibian data<\/strong><\/p>\n<p>She talked about a new class of removal models which incorporate a hidden state, allowing the modelling of movement into and out of the observable study area.<\/p>\n<p>&nbsp;<\/p>\n<p><b><\/b><a href=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2.jpg\"><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-103\" src=\"http:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2-300x225.jpg\" alt=\"NCSEgroup2\" width=\"300\" height=\"225\" srcset=\"https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2-300x225.jpg 300w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2-1024x768.jpg 1024w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2-1272x954.jpg 1272w, https:\/\/blogs.kent.ac.uk\/seak\/files\/2015\/08\/NCSEgroup2.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Byron Morgan, Rachel McCrea, Anita Jeyam, Ming Zhou, Natoya Jourdain, Takis Besbeas, Emily Dennis, Bee Kumphakarm and Diana Cole attended the NCSE summer meeting from 29th June to 1st July at the Penryn campus of the University of Exeter, outside Falmouth, Cornwall. Rachel gave a talk on Multistate modelling of guppy data. Guppies inhabit streams [&hellip;]<\/p>\n","protected":false},"author":40695,"featured_media":99,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[148218],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/40"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/users\/40695"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/comments?post=40"}],"version-history":[{"count":6,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/40\/revisions"}],"predecessor-version":[{"id":106,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/posts\/40\/revisions\/106"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media\/99"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/media?parent=40"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/categories?post=40"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/seak\/wp-json\/wp\/v2\/tags?post=40"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}