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2. Spot recruitment data
2. Spot recruitment data
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NIAID Data Ecosystem
2026-05-01 收录
补偿性死亡率评估
种群动态建模
数据链接:
https://zenodo.org/record/8322738
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资源简介:
Data and code for assessing spot density dependent compensatory mortality
应用场景:
创建时间:
2024-02-19
相关数据集
Simulation parameters used for the IBM of growth.
个体生长模拟
种群动态建模
d0 = 0 for all parameter sets. The initial number of individuals for each simulation is N0 = K. The system is simulated for 500 time steps.
NIAID Data Ecosystem
8
0
Appendix F. AICc differences (Δi) and AICc weights (wi) for three growth models fit to population time series for 10 duck species.
种群动态建模
水禽生态统计
AICc differences (Δi) and AICc weights (wi) for three growth models fit to population time series for 10 duck species.
Figshare
2016-08-05 更新
3
0
Mosquito ODE system’s parameter approximation errors.
种群动态建模
参数估计
Mosquito ODE system’s parameter approximation errors.
Figshare
2024-12-23 更新
2
0
Best models to estimate the probability of owned dog interactions with carnivores and prey species.
种群动态建模
野生动物保护
Summary of model selection to estimate the probability of owned dog interactions with carnivores and prey species. Models are ranked by AICc values. Columns include the number of variables (K), Akaike
NIAID Data Ecosystem
5
0
Appendix A. Equations for population and fishery dynamics.
渔业资源管理
种群动态建模
Equations for population and fishery dynamics.
Figshare
2016-08-04 更新
3
0
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