Appendix D. Input parameters for barnacle population models.

NIAID Data Ecosystem2026-03-09 收录

海洋生态建模

种群动态分析

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Input parameters for barnacle population models.

创建时间：

2016-08-05

Predictive models of the abundance and distribution of deep-sea corals and sponges in the Gulf of Alaska (NCEI Accession 0289894)

海洋生态建模

物种分布预测

Deep-sea coral and sponge presence and abundance (measured as catch per unit effort (CPUE) were generated based off data from bottom trawl surveys between 1993 to 2013. Sponge models were left at the

DataCite Commons2025-02-21 更新60

Supporting data: Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease at Wind Cave National Park, 2005--18

野生动物疾病

种群动态分析

These data were used for preparation of Sargeant et al. (2021), "Spatial network clustering reveals elk population structure and local variation in the prevalence of chronic wasting disease." They inc

U.S. Geological Survey2021-01-01 更新30

Appendix C. Prior information on the population dynamics of winter skate in the southern Gulf of St. Lawrence and on the eastern Scotian Shelf.

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Prior information on the population dynamics of winter skate in the southern Gulf of St. Lawrence and on the eastern Scotian Shelf.

NIAID Data Ecosystem30

Supplement 1. R and C code used for the analysis of the great tits data set and for the simulation study presented in Appendix B.

动物标记重捕

种群动态分析

File List AllFunctions.R (MD5: d3120c7372ab36b802dd9f0c01138f1a) Functions needed to fit the models presented in the paper. AllFits.R (MD5: f7caa2c394d6c710195c1bca762d1851) R code for fitting the mod

WILEY2016-08-10 更新40

Predictor variables used fro modeling the abundance of the Yellowfin tuna in the Isla del Coco.

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海洋生态建模

SST = Sea Surface Temperature, SSS = Sea Surface Salinity, Chl-a = Chlorophyll-a.

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