Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach
In this thesis, I suggest that only under special, simplified circumstances is the point-count method appropriate for deducing stand-level species-resource relationships. As a field evaluation of the point-count method, I developed stand-level species-resource models for two woodpecker species, t...
Main Author: | |
---|---|
Language: | English |
Published: |
2009
|
Online Access: | http://hdl.handle.net/2429/10304 |
id |
ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-10304 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-103042014-03-14T15:44:02Z Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach Goodinson, Clive In this thesis, I suggest that only under special, simplified circumstances is the point-count method appropriate for deducing stand-level species-resource relationships. As a field evaluation of the point-count method, I developed stand-level species-resource models for two woodpecker species, the red-naped sapsucker (Sphyrapicus nuchalis) and the northern flicker (Colaptes auratus). Compounding sources of uncertainty severely compromised the usefulness of this exercise in elucidating species-resource relationships. In response to the difficulties with the field data, I developed Sample Sim'on, a program that simulates the repeated sampling of a population of mobile, territorial organisms in a landscape with one or more resources. I show that the spatial distribution of resources, species behaviour, and sampling design can greatly affect the success rate with which species-resource relationships can be determined correctly (i.e., the sampling success rate). Realistic values for parameters describing these elements result in a very low sampling success rate, even when sampling effort is impracticably high. In addition, other variables that are not explicitly defined in Sample Sim'on, including those acting over larger spatial scales, can only add variance to species-resource data, further weakening sampling success. 2009-07-06T23:56:46Z 2009-07-06T23:56:46Z 2000 2009-07-06T23:56:46Z 2000-05 Electronic Thesis or Dissertation http://hdl.handle.net/2429/10304 eng UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/] |
collection |
NDLTD |
language |
English |
sources |
NDLTD |
description |
In this thesis, I suggest that only under special, simplified circumstances is the
point-count method appropriate for deducing stand-level species-resource relationships.
As a field evaluation of the point-count method, I developed stand-level species-resource
models for two woodpecker species, the red-naped sapsucker (Sphyrapicus nuchalis) and the
northern flicker (Colaptes auratus). Compounding sources of uncertainty severely
compromised the usefulness of this exercise in elucidating species-resource relationships.
In response to the difficulties with the field data, I developed Sample Sim'on, a program
that simulates the repeated sampling of a population of mobile, territorial organisms in a
landscape with one or more resources. I show that the spatial distribution of resources,
species behaviour, and sampling design can greatly affect the success rate with which
species-resource relationships can be determined correctly (i.e., the sampling success rate).
Realistic values for parameters describing these elements result in a very low sampling
success rate, even when sampling effort is impracticably high. In addition, other variables
that are not explicitly defined in Sample Sim'on, including those acting over larger spatial
scales, can only add variance to species-resource data, further weakening sampling
success. |
author |
Goodinson, Clive |
spellingShingle |
Goodinson, Clive Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
author_facet |
Goodinson, Clive |
author_sort |
Goodinson, Clive |
title |
Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
title_short |
Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
title_full |
Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
title_fullStr |
Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
title_full_unstemmed |
Limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
title_sort |
limitations of the point-count method for inferring stand-level species-resource relationships : a sampling simulation approach |
publishDate |
2009 |
url |
http://hdl.handle.net/2429/10304 |
work_keys_str_mv |
AT goodinsonclive limitationsofthepointcountmethodforinferringstandlevelspeciesresourcerelationshipsasamplingsimulationapproach |
_version_ |
1716651939647717376 |