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Firstwrkshnotes » History » Revision 7

Revision 6 (Corinna Gries, 03/10/2014 01:57 PM) → Revision 7/20 (Corinna Gries, 03/10/2014 02:00 PM)

h1. Workshop Notes 

 are on etherpad: https://epad.nceas.ucsb.edu/p/commdyn-20140105 

 h1. Metrics h1.Metrics brainstorming: 

 * 

     what are you currently using 
 * 
     what would you like to use 
 * 
     how widely is it used 
 * 
     can it be applied to different biological community datasets (sampling approach) 
 * 
     is it already coded {in R} 

 h2. Metrics 

 # *Diversity* (all of these are generally in R, mostly in vegan) 
 ## Jaccard index 
 ## Simpson's diversity  
 ## Shannons index 
 ## Turnover - different ways to calculate 
 ## Dominance  
 ## Evenness 
 ## Richness 
 ## Rank abundance shift 
 ## Beta diversity 
 # *Community metrics/ordination* 
 ## NMDS (vegan) 
 ## PCA (vegan) 
 ## Bray curtis (vegan) 
 ## Variance tracking, quantify variability change 
 # *Spatial* 
 ## patch scale  
 ## spatial autoregression 
 ## meta community statistics 
 # *Mechanistic models* 
 ## MAR, needs driver matrix, problem auto-corelation, mostly fresh water or marine (Eli Holmes has state-space MAR in R implemented, not sure if it's on CRAN)     http://cran.r-project.org/web/packages/MARSS/index.html 
 ## MANOVA (vegan? Also, permanova is in vegan) 
 ## interaction population models - inter specific competition (Ben Bolker's book and corresponding package) 
 # *Food webs* 
 ## connectance 
 ## network analysis 
 # *Traits/phylogentic* 
 ## species aggregation (functional groups, trophic levels 
 ## phylogenetic dispersion (ape etc. -- this stuff is all in R) 
 ## Native/exotic 
 # *Temporal indices* 
 ## Variance ratio 
 ## Mean-variance scaling 
 ## Spectral analysis 
 ## Regresssion windows (strucchange) 
 # *null models* 

 h2. Issues: h2.Issues: 

 #length of time series relative to lifespan of organisms 
     WMI toolbox 

 #high frequency data needed 
     sample too frequently then don't see signal, sample to far about miss all dynamics 

 #type of variable being measured 
     abundance, biomass, production 


 Rare species as background noise 
 rank abundance curves back again 
 Comparative analysis of small noise vs large noise systems. What drives differences?