I'm looking for datasets on species' biomasses (or abundances, or
productivities) in different sites comprising "nested subsets" of species
(i.e. the less-diverse sites comprise strict subsets of the species in the
most-diverse site).  More specifically, datasets need to fulfill the
following criteria:

-Data from at least two sites, or from the same site at two or more
different times (e.g., before vs. after a disturbance or an experimental
manipulation such as predator removal or nutrient addition).  Sites could be
natural unmanipulated sites (e.g., lakes, islands, permanent plots), and/or
experimentally manipulated (e.g., different plots within a manipulative
experiment).  Sites need not have similar environmental conditions, and in 
fact it's more interesting if they don't (either because the sites are
situated along a natural environmental gradient, or because some of the
sites were manipulated in some fashion).    

-Data from each site on the biomass (or abundance) of each species within a
single trophic level, or within some more-or-less well-defined ecological
guild (e.g., "plants", "algae", "zooplankton", "insects", "trees").  If data
are not completely resolved to species level, that's ok.

-Nested subsets:  the less species-rich site(s) need to comprise strict
subsets of the species in the most species-rich site(s).  However, if this
criterion is almost but not quite fulfilled (e.g., because of a few rare
species present at the less species-rich site, but not the most species-rich
site), I can probably still work with the data.
  
I plan to use the datasets to try out a new analytical approach I have
developed to tease apart the effects of species richness, composition, and
other factors on "aggregate" ecosystem functions like total biomass.  This
approach is not yet published, and my hope is that illustrative applications
to the types of datasets described above would form a key component of a
future publication.  

I would of course be happy to provide more details and discuss issues
related to acknowledgement/co-authorship with anyone who is able to provide
suitable datasets.  

I am hoping to gain access to 2-3 suitable datasets ASAP, as the ms is
otherwise ready to go, but in the longer term hope to gain access to many
more datasets as part of an extensive comparative analysis.

Thank you very much in advance to anyone who's able to help out.

Jeremy Fox

Asst. Professor, University of Calgary  

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