Workflows

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

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

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

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

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

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