dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到17条 ,权限内显示50条;

Data from: Generalized linear mixed models for mapping multiple quantitative trait loci
负责人:
关键词:
generalized linear mixed model;binomial trait;QTL mapping
摘要:
effects are treated as random, they can be estimated in a single generalized linear mixed model (GLMM), even if the number of QTL may be larger tha
Data from: A tale of two phylogenies: comparative analyses of ecological interactions
负责人:
关键词:
Ecology: evolutionary;Macroevolution;Community: structure;Evolution: host\/parasite;Ecology: statistical;Interactions: host\/parasite;phylogeny;Coevolution;statistics
摘要:
kely to be shaped by the phylogenetic history of both parties. We develop generalized linear mixed-effects models (GLMM) that estimate the effect of both parties
Data from: When the going gets tough: behavioral type dependent space use in the sleepy lizard changes as the season dries
负责人:
关键词:
animal personality Bayesian GLMM Behavioral syndromes GPS-telemetry Movement ecology Spatial ecology
摘要:
generalized linear mixed models (GLMM) showed that lizards responded to the spatial distribution of resources at the neighbourhood scale and to the intensity of space use by other
Data from: Improving estimates of environmental change using multilevel regression models of Ellenberg indicator values
负责人:
关键词:
摘要:
multilevel model performance to GLMM’s fitted to point estimates of site mean EIVs. We also test the reliability of this method to improve inferences with incomplete
Data from: R2s for correlated data: phylogenetic models, LMMs, and GLMMs
负责人:
关键词:
coefficient of determination;Binomial regression;non-independent residuals;phylogenetic model;pseudo-likelihood
摘要:
of the ordinary least-squares R2 that weights residuals by variances and covariances estimated by the model; it is closely related to R2glmm presented by Nakagawa
Data from: A trait-based framework for understanding predator-prey relationships: trait matching between a specialist snake and its insect prey
负责人:
关键词:
Vipera ursinii;Vipera graeca;Orthoptera;trait data;Viperidae;feeding ecology;insectivory;grassland;entomophagy;trophic network
摘要:
ween predators and prey. 2. Here we develop a novel analytical approach based on generalized linear mixed-effects models (GLMM) to test the importance
Data from: Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
负责人:
Wilson, Kenady
关键词:
GLMM Hawaiian monk seal Accelerometer Telemetry Crittercam
摘要:
The objective of this research was to investigate and describe the foraging behaviour of monk seals in the main Hawaiian Islands. Specifically, our goal was to identify a metric to classify foraging behaviour from telemetry instruments. We deployed accelerometers, seal-mounted cameras and GPS tags on six monk seals during 2012–2014 on the islands of Molokai, Kauai and Oahu. We used pitch, calculated from the accelerometer, to identify search events and thus classify foraging dives. A search event and consequent ‘foraging dive’ occurred when the pitch was greater than or equal to 70° at a depth less than or equal to ?3?m. By integrating data from the accelerometers with video and GPS, we were able to ground-truth this classification method and identify environmental variables associated with each foraging dive. We used Bayesian logistic regression to identify the variables that influenced search events. Dive depth, body motion (mean overall dynamic body acceleration during the dive) and proximity to the sea floor were the best predictors of search events for these seals. Search events typically occurred on long, deep dives, with more time spent at the bottom (more than 50% bottom time). We can now identify where monk seals are foraging in the main Hawaiian Islands (MHI) and what covariates influence foraging behaviour in this region. This increased understanding will inform management strategies and supplement outreach and recovery efforts.

首页上一页12下一页尾页

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充