dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到1725条 ,权限内显示50条;

Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild
负责人:
关键词:
Pseudoreplication;selection gradients;spatial heterogeneity;Cyanistes caeruleus;spatial autocorrelation;blue tit;multiple regression
DOI:
doi:10.5061/dryad.pm86c
摘要:
t (Cyanistes caeruleus) population. We also compared the performance of the four spatially explicit models of selection using a simulation approach. 3. Our anal
Data from: A spatially explicit hierarchical model to characterize population viability
负责人:
Campbell, Steven
关键词:
capture-recapture CAR model demography multi-state model population viability analysis recruitment Sonoran desert tortoise spatial autoregressive model survival spatial variation
DOI:
doi:10.5061/dryad.v0q5035
摘要:
explicitly for spatial variation are rare. We develop a PVA model that incorporates autocorrelation into the analysis of local demographic informati
Data from: Estimating occupancy using spatially and temporally replicated snow surveys
负责人:
关键词:
lynx multi-scale occupancy snow survey spatial replication temporal replication wolverine
DOI:
doi:10.5061/dryad.v4p20
摘要:
Occupancy modelling is increasingly used to monitor changes in the spatial distribution of rare and threatened species. Occupancy methods hav
Data from: A quantitative test of population genetics using spatio-genetic patterns in bacterial colonies
负责人:
关键词:
Modeling: stochastic spatial;genetic drift;gene flow;Ecology: spatial;Modeling: spatial;Ecology: theoretical;Theory;Migration;Escherichia coli;Pseudomonas aeruginosa;population dynamics;Modeling: individual based
DOI:
doi:10.5061/dryad.3147q
摘要:
e challenging because of the complex relationships between space, dispersal, and evolution. Critically, we lack quantitative validation of the spatial models
Data from: Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
负责人:
Rogers, Lauren A.
关键词:
state-space models population dynamics time-series age-structured model Bayesian spatial structure k-fold cross validation
DOI:
doi:10.5061/dryad.td8nb
摘要:
ly, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coastal
Data from: Using partial aggregation in Spatial Capture Recapture
负责人:
关键词:
Gulo gulo;wolverines
DOI:
doi:10.5061/dryad.pd612qp
摘要:
1. Spatial capture-recapture (SCR) models are commonly used for analyzing data collected using non-invasive genetic sampling (NGS). Opportunistic NGS
Data from: Intraspecific interactions affect the spatial pattern of a dominant shrub in a semi-arid scrubland: a prospective approach
负责人:
关键词:
spatial point analysis.;Demography;Croton aff. wagneri;Croton;Individual Based Modeling
DOI:
doi:10.5061/dryad.6581hh9
摘要:
individual-based model and simulated its population dynamics in 30 × 30 m plots for a 30 year periods. We compared the predicted spatial pattern from these
Data from: Separating mortality and emigration: modelling space use, dispersal and survival with robust-design spatial-capture-recapture data
负责人:
关键词:
Space use;SCR;survival;Arvicolinae;Rodentia;Dispersal;movements;field vole;Mammalia;capture-recapture;Cricetidae;Muroidea;home range;spatial capture recapture;Microtus agrestis
DOI:
doi:10.5061/dryad.r17n5
摘要:
of populations. However, traditional CR models cannot separate mortality from emigration. Recently developed spatial-capture-recapture (SCR) models explicitly
Data from: Spatially explicit summary statistics for historical population genetic inference
负责人:
关键词:
population genetics;phylogeography
DOI:
doi:10.5061/dryad.48hq1
摘要:
realistic scenarios. Ignoring space can lead to misleading inferences, yet incorporating spatial realism leads to using complex evolutionary models tha
Data from: Assessing impact of exogenous features on biotic phenomena in the presence of strong spatial dependence: a lake sturgeon case study
负责人:
关键词:
DOI:
doi:10.5061/dryad.tg706dv
摘要:
Modeling spatially explicit data provides a powerful approach to identify the effects of exogenous features associated with biological

首页上一页12345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