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Data from: Conservation implications of ameliorating survival of little brown bats with White-Nose Syndrome
负责人:
关键词:
Barker model;wildlife disease;Myotis lucifugus;population viability analysis;hibernacula;little brown bat;mark-recapture;WNS;Geomyces destructans;Pseudogymnoascus destructans;vital rate sensitivity;white-nose syndrome
DOI:
doi:10.5061/dryad.85709
摘要:
species of bats in North America since the disease was first observed on the continent in 2006. Estimating annual survival rates and demographic trends amo
Data from: Modelling the functional link between movement, feeding activity and condition in a marine predator
负责人:
Pirotta, Enrico
关键词:
Body condition Feeding ecology Satellite tracking Disturbance Bayesian state-space modelling Elephant seals
DOI:
doi:10.5061/dryad.r1t6fj5
摘要:
-making as it moves and feeds in the environment. In addition, we demonstrate how the model can be used to simulate realistic patterns of disturbance
Data from: Haemosporidian infection and co-infection affect host survival and reproduction in wild populations of great tits
负责人:
关键词:
Plasmodium;Co-infection;trade-offs;life-history traits;Haemoproteus;Parus major;2005-2016;Leucocytozoon
DOI:
doi:10.5061/dryad.0f8n6sj
摘要:
survival probability, both infection and co-infection increased reproductive success. This study provides evidence that co-infections can be more virulent than single
Data from: Multi-scale model of regional population decline in little brown bats due to white-nose syndrome
负责人:
关键词:
white-nose syndrome;Pseudogymnoascus destrucans;Myotis lucifugus;plausible parameter sets;little brown bat;metapopulation dynamics;Disease model
DOI:
doi:10.5061/dryad.nr75483
摘要:
t of dispersal among colonies on metapopulation survival. The model also offers a generalizable method to assess hypotheses about cave-to-cave transmission
Data from: Improving structured population models with more realistic representations of non-normal growth
负责人:
关键词:
Bistorta vivipara;Vulpicida pinastri;skewed normal;Polygonum viviparum;matrix model;Asymmetry;Beta regression;integral projection model;quantile regression;population model;Growth;skew;Paramuricea clavata
DOI:
doi:10.5061/dryad.t6c3573
摘要:
can then be modeled using beta regression with widely available statistical tools. We demonstrate the utility of this approach using demographic data for a long-li
Data from: Robust design for coalescent model inference
负责人:
关键词:
population genetic inference;structured coalescent;Experimental design;sequential Markovian coalescent;Coalescent Theory;skyline models
DOI:
doi:10.5061/dryad.n7rm21c
摘要:
the skyline demographic coalescent model, spatio-temporal sampling under the structured coalescent model, and time discretization for sequentially Markovi
Data from: Persistent organic pollution in a high-Arctic top predator: sex-dependent thresholds in adult survival
负责人:
关键词:
organochlorines;capture-mark-recapture analysis;adult survival;Larus hyperboreus;pollution
DOI:
doi:10.5061/dryad.pm885
摘要:
hyperboreus) breeding on Bj?rn?ya (Bear Island) in the Norwegian Arctic, and modelled their local survival using capture–recapture analysis. Survival
Data from: Incubation recess behaviors influence nest survival of Wild Turkeys
负责人:
关键词:
DOI:
doi:10.5061/dryad.2547d7wmn
摘要:
, and estimated mean nest attentiveness of 84.0%.? Numbers of recesses taken daily were variable across females (range: 1?7). Nest survival modeling indicated tha
Data from: Timing of vegetation sampling does not influence associations between visual obstruction and turkey nest survival in a montane forest
负责人:
关键词:
plant phenology;wild turkey;Concealment;nest survival;sampling bias;Holocene;Meleagris gallopavo
DOI:
doi:10.5061/dryad.g7r412v
摘要:
in a forest ecosystem. We modelled nest survival as a function of visual obstruction and other covariates of interest. At unsuccessful nests, we collected visual
Data from: Assessing species richness trends: declines of bees and bumblebees in the Netherlands since 1945.
负责人:
关键词:
DOI:
doi:10.5061/dryad.34tmpg4fm
摘要:
h incorporate models for sampling effects and detection probability: (1) non-linear species accumulation curves with an error variance model and (2) Pradel

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