Discover Life in America

Peter White - 3 September, 1998

Response to John Morse

Date: Thu, 3 Sep 1998 13:59:19 -0400
From: "WHITE, PETER S." 
To: jmorse@clemson.edu (John Morse)
Cc: keith_langdon@nps.gov, pick@pick.uga.edu, wfharris@utk.edu,
        chuck_parker@nps.gov, msharkey@southey.ca.uky.edu, jmorse@clemson.edu
Subject: Re: Fwd: Inventory Plan

John:

A short response is:  Yes.  The appropriate way to regulate sample effort
will vary with the taxon.  At the simplest level this would just be a
standardized sampling strategy for particular groups (at least for that
component of the sampling which is more quantitative) that would be
worked out by the TWGs.  Thus Fred Coile records the number of spiders
and species he collects as a function of duration of collection.  How
many species does he see in 1 minute, 10 minutes, 1 hour?

In your message you note that different creatures require different
sampling strategies--numbers of light traps vs. distances traveled by the
insects.  So one sample might draw insects from 100 m radius; another
from 1 km radius.  You suggested that the former would require more light
traps to cover the same amount of space.  You'd have to space the light
traps closer than 100 m to each other in the first case to get the
available insects in the habitat.  I agree.  If we want to compare apples
and apples, then let us assume that you want to collect the available
insects within 1 km on the sample location.  In the case of long-distance
insects, you'd need just 1 light trap.  In the case of short-distance
insects you'd need a grid of light traps all 100 m apart.  Both samples
are aimed at the same grain size of land--1 km--but they use different
grain size of sampling units (100 m vs. 1 km).    I've picked this
numbers arbitrarily, but if I understand correctly, I am with you every
step of the way.  TWGs and investiagors must determine these parameters.

I want to point out another way of looking at grain--and this is the one
I was trying to get across.  Regardless of the field method--that is,
regardless of the intensity of the light, the density of traps, the
flight distances of the insects, or other parameters--the best way to
understand the number of individuals seen and the number of species
recorded is to document the dimensions of the sample itself.  For
example, even if you had the wrong light bulb on the wrong grid spacing,
the numbers of individuals and species recorded from that light trap
would be a function of the duration it was on each night, the number of
nights it was on, etc...  One could express the number of species as a
function of the number of individuals in the sample (rarifaction is a
method by which such distributions of species among individuals are
resampled to produce a random species-individual curve) or as a function
of the sampling effort.  My main point was that the number of species
recorded is a function of the dimensions of the sample window.  Those
dimensions include grain in space and duration in time, but also how many
samples there are and how these are distributed across space or through
time.  If grain in space, duration in time, extent in space, and extent
in time are all known, the species list becomes are repeatible sample.
If each also has nested subsets, you can draw a curve that represents the
gain of individuals and species as the grain in space, duration in time,
extent in space, and extent in time, are varied.  That curve has more
information in it than the number of species at any particular fixed
sampling window...but at the very least (that is, even if the curve is
not drawn and the observations are not in nested sets), the sampling
window should be documented so at least we know what the sampling effort
was.

I'll try again on this in person (and with a black board)...the idea is a
simple and straightforward one, though challenging to describe.  I
believe most taxonomists and systematists intuitively understand the
principles because they often adjust sample effort to the characteristics
of organisms and their distributions.  As they inventory, they gain an
intuitive feel for how complete their list is (it gets harder to find a
new species) and how thoroughly they've covered a habitat.  If their
objective is not a complete inventory and if they have limited time, they
are the first to call their checklist "preliminary" or a "working
checklist" or even to just document their specimens without claiming to
complete a checklist.

My perspective is to formalize this intuitive approach, at least for a
portion of the effort or as a recommended but not mandatory guideline.

===========================================================
Peter S. White                     email:  pswhite@unc.edu
Department of Biology -- CB# 3280
University of North Carolina at Chapel Hill
Chapel Hill, NC  27599-3280     USA
Biology Phone: 919-962-6939   Biology FAX: 919-962-1625
NCBG Phone:   919-962-0522   NCBG  FAX:  919-962-3531
                Home Phone:  919-967-4926
 Web information:  www.unc.edu/depts/biology/white.html
===========================================================



Discover Life in America | Science | Inventory Design | Peter White - 3 September, 1998