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Killer whale demography documentation

Created: 2014-09-26 12:19:25

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Killer whale demography

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Resident killer whale-chinook salmon interactions an...

Created: 2014-09-26 12:09:28 | Last updated: 2014-09-26 12:11:12

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Exploration of fishing scenarios Resident killer whale-chinook salmon interactions

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Orcinus orca (Killer whale) demography and populatio...

Created: 2014-08-29 12:21:35 | Last updated: 2014-08-29 16:23:18

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Jon Giddy

Attributions:

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Elasticity and Sensitivity of the Vital rates docume...

Created: 2014-08-29 14:49:44 | Last updated: 2014-08-29 14:50:15

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Elasticity and Sensitivity of the Vital rates

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Variance matrix documentation

Created: 2014-08-28 13:53:09

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Variance matrix

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Mean matrix documentation

Created: 2014-08-14 17:52:17 | Last updated: 2014-08-28 13:50:22

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Mean matrix

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Calculate and Plot abundance over the years document...

Created: 2014-08-28 13:17:28

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer

Attributions: Calculate and Plot abundance over the years

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Log-log plots of variance vs. sensitivity and CV vs....

Created: 2014-08-21 09:16:10

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Log-log plots of variance vs. sensitivity and CV vs. elasticity in matrix elements

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Life Table Response Experiments Fixed design year ef...

Created: 2014-08-21 08:05:38

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Life Table Response Experiment year effect for multiple places

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Calculate the quasi-extinction probability documenta...

Created: 2014-08-14 12:05:06

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Calculate quasi-extinction threshold.

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Life Table Response Experiments Fixed design years e...

Created: 2014-08-14 08:44:30 | Last updated: 2014-08-14 08:45:27

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Life Table Response Experiment Year Effect in One Location or Place

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Life Table Response Experiments Fixed design Place e...

Created: 2014-08-14 08:03:58

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Attributions: Life Table Response Experiment fixed design Place Effect

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Simulate stochastic growth from a sequence of matric...

Created: 2014-07-30 13:47:47

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Mikolaj Krzyzanowski Gerard Oostermeijer

Attributions: Simulate stochastic growth from a sequence of matrices

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Net reproductive rate (Ro) documentation

Created: 2014-07-25 11:25:19

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Net reproductive rate (Ro)

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Generation Time (T) documentation

Created: 2014-07-25 11:22:18

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Generation time (T)

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Eigen analysis documentation

Created: 2014-07-25 11:18:44

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Eigen analysis

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Damping ratio documentation

Created: 2014-07-25 11:07:01

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Damping ratio

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Matrix population models construction documentation

Created: 2014-07-25 11:02:01

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Creation of a stage matrix model from demographic monitoring of individuals in an animal or plant population

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Matrix Population Models analysis documentation

Created: 2014-07-25 10:55:42

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12

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Matrix Population Models construction and analyses d...

Created: 2014-07-25 10:48:13 | Last updated: 2014-07-25 10:50:17

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model construction and analysis v20

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Bootstrap of observed census transitions documentation

Created: 2014-07-25 10:37:03

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

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Parametric Bootstrap or Resample a projection matrix...

Created: 2014-07-25 09:41:10

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Parametric Bootstrap or Resample a projection matrix Workflow

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Age-specific survival documentation

Created: 2014-07-24 11:48:40

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Age specific analysis

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Keyfitz’s delta documentation

Created: 2014-07-24 08:25:05

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Keyfitz delta

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Cohen’s cumulative distance documentation

Created: 2014-07-24 08:20:42

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Cohen’s cumulative distance

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Integral Projection Model documentation

Created: 2013-08-13 13:22:56 | Last updated: 2014-07-04 12:20:25

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Integral Projection Model for Demographic Modelling v34 Demographic data Cryptantha flava

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Exploration of fishing scenarios (1)

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This workflow must run after the workflow: Resident killer whale-chinook salmon interactions. The interaction workflows generates a PostWorkspace file, this is a zip file and it is an R Workspace that transfers values from the Resident killer whale-chinook salmon interactions (main) workflow to the Exploration of fishing scenario (post-processing) workflow. This workflow merges statistical inference derived from linkages between RKW vital rates (survival probability and fecundity rates) a...

Created: 2014-09-26

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Resident killer whale-chinook salmon interactions

Resident killer whale-chinook salmon inter... (1)

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The resident killer whale-chinook salmon interactions workflow provides an environment to calculate a two-sex stage-structured matrix with no density dependence and with vital rates as random variables or as functions of Chinook abundance from specific stock aggregates and to (i) quantify the differences in demographic rates between killer whale (Orcinus orca) population that explain population growth; (ii) to determine the relative influence of vital rates and Chinook (Oncorhynchus tshawytsc...

Created: 2014-09-26

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Killer whale demography

Killer whale demography (1)

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This workflow analyzes the demography and population growth of resident killer whale populations. Originally created for comparative studies of Northeastern Pacific populations at risk, Southern Resident Killer Whales (SRKW) and the Northern Resident Killer Whales (NRKW), the workflow can be used for other killer whale populations or cetaceans counting with census data and life cycles that can be represented using the matrix models described in this document. This workflow perform the follow...

Created: 2014-09-24

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Elasticity and Sensitivity of the Vital rates (1)

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This workflow calculates the Elasticity and Sensitivity of population growth rate with respect to various vital rates. The goal in both cases is to determine which vital rates has/ve the most influence on population growth rate (?). Elasticity and Sensitivity: Sensitivity and elasticity analyses are prospective analyses. a) The sensitivity matrix: The sensitivity describes the effect on ? of changes in vital rates of the matrix. The derivative tells what would happened to ? if aij was to c...

Created: 2014-08-29

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Stages vectors plots, Survival and Growth ... (2)

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The Stages vectors plots, Survival and Growth rate curves Workflow provides an environment to perform several analyses on a series of stage-matrices: - Survival values calculations per stage per year and its respective plot; - Growth rates (lambda) calculations per year and its respective plot; - Stage Vectors calculations and their respective plots. ====================================================== This workflow requires an instance of Rserve on localhost This workflow has been creat...

Created: 2014-07-02 | Last updated: 2014-08-29

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer

Cohen’s cumulative distance (1)

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The Cohen’s cumulative distance Workflow provides an environment to calculate the Cohen’s cumulative distance. The Cohen’s cumulative distance measures the difference between observed and expected vectors along the matrix path that the population would take to reach the expected population vector. It is a function of both the observed stage distribution (n0) and the structure of the matrix (A) (Williams et al 2011). Cohen’s cumulative distance will not work for reducible matrices or imprimiti...

Created: 2014-07-23

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12 Matrix Population Model construction and analysis v20

Variance matrix (1)

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This workflow estimates the variance matrix from a list of matrices. This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359. This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011). ================================================================================== Literature Caswell, H. 20...

Created: 2014-08-28

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Calculate and Plot abundance over the years (1)

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This workflow calculates and plots the abundance per stage per year. This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359. This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011). ================================================================================== Literature Caswell, H. 20...

Created: 2014-08-28

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer

Log-log plots of variance vs. sensitivity ... (1)

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This workflow creates log-log plots of both variance vs. sensitivity and CV vs. elasticity in matrix elements. Plots are based on Figure 2 in Pfister (1998). This workflow calculates as well the summary mean, variance, CV, sensitivities and elasticities of each matrix element of the submitted matrices. Please if you want to know more about this analyses please refer to: Pfister, C.A. 1998. Patterns of variance in stage-structured populations: Evolutionary predictions and ecological implica...

Created: 2014-08-21

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Life Table Response Experiment year effect... (1)

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The Life Table Response Experiments Year Effect for Multiple Places workflow provides an environment to analyse two or more matrices (e.g., two or more matrices of different years from one place) at two or more different locations. The objective of this workflow is to determine the effects of the research years (2 or more) on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001). LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ?...

Created: 2014-08-21

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Mean matrix (1)

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This mean matrix workflow estimates the mean matrix from a list of matrices. This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359. This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011). ================================================================================== Literature Caswel...

Created: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Simulate stochastic growth from a sequence... (1)

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The Simulate stochastic growth from a sequence of matrices Workflow provides an environment to simulate stochastic growth by projection using whole matrix selection techniques in an independently and identically distributed (iid) environment from a set of 2 or more projection matrices. This workflow is based on the popbio package (script: stoch.projection - Simulate stochastic growth from a sequence of matrices, Stubben, Milligan and Nantel, 2013) based on the The MATLAB code in Box 7.3 (Mo...

Created: 2014-07-30 | Last updated: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Calculate quasi-extinction threshold. (1)

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This workflow estimates by simulation the quasi-extinction probability time cumulative distribution function for a structured population in an independently and identically distributed (iid) stochastic environment. This workflow is based on the popbio package (stoch.quasi.ext - Calculate quasi-extinction threshold, Stubben, Milligan and Nantel, 2013) based on the The MATLAB code in Box 7.5 (Morris and Doak 2002). For more details of the analysis see: Calculating the probability of hitting a q...

Created: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Life Table Response Experiment Year Effect... (1)

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The Life Table Response Experiments Effect of Years in One Place workflow provides an environment to analyse two or more matrices from different years in one location. The objective of this workflow is to determine the effects of the research years (2 or more) in one place on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001). LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ? under two or more sets of environmental conditions...

Created: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Life Table Response Experiment fixed desig... (1)

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The Life Table Response Experiments place effect workflow provides an environment to analyse one or more matrices (e.g. matrices of different years from the same place) from two or more places. The objective of this workflow is to determine the effects of the research places or localities (2 or more) on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001). LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ? under two or more set...

Created: 2014-08-13

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Keyfitz delta (1)

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The Keyfit delta Workflow provides an environment to calculate the Keyfit delta value. Keyfitz’s delta is a measure of the distance between any two probability vectors (Keyfitz 1968). In this case is a measure of the distance between n (Observed Stage Distribution) and w (Stable Stage Distribution). The maximum value is 1 and the minimum value is 0 (when the vectors are identical). ============================================================ This workflow has been created by the Biodiversit...

Created: 2014-07-23

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12 Matrix Population Model construction and analysis v20

Parametric Bootstrap or Resample a project... (3)

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The Parametric Bootstrap or Resample a projection matrix Workflow provides an environment to resample a projection matrix using a multinomial distribution for transitions and a log normal distribution for fertilities (Stubben, Milligan, and Nantel. 2011). The resample is based on number of plants surveyed. The projection matrix A is first split into separate transition and fertility matrices. Dead fates are added to the transition matrix and the columns are then sampled from a Multinomial dis...

Created: 2014-06-18 | Last updated: 2014-07-25

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12

Bootstrap of observed census transitions. (3)

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This workflow calculates bootstrap distributions of population growth rates (?), stage vectors, and projection matrix elements by randomly sampling with replacement from a stage-fate data frame of observed transitions. The goal of a demographic analysis is very often to estimate lambda, because lambda is estimated from imperfect data, such estimation are uncertain. Therefore, when the results have policy implications it is important to quantify that uncertainty. Confidence interval is one of ...

Created: 2012-11-05 | Last updated: 2014-07-24

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model construction and analysis v20 Stage Matrix of Gentiana pneumonanthe 1987-88

Damping ratio (2)

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The Damping ratio Workflow provides an environment to calculate the damping ratio of several matrices and plot them. The damping ratio can be considered as a measure of the intrinsic resilience of the population, describing how quickly transient dynamics decay following disturbance or perturbation regardless of population structure, the larger the p, the quicker the population converges. ============================================================= This workflow requires an instance of Rse...

Created: 2014-06-25 | Last updated: 2014-07-25

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer