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Keyword: study design

Precision gain versus effort with joint models using detection/non‐detection and banding data

Publications Posted on: May 30, 2019
Capture-recapture techniques provide valuable information, but are often more cost-prohibitive at large spatial and temporal scales than less‐intensive sampling techniques. Model development combining multiple data sources to leverage data source strengths and for improved parameter precision has increased, but with limited discussion on precision gain versus effort.

Modeling natural regeneration establishment in the northern Rocky Mountains of the U.S.A

Publications Posted on: June 30, 2010
Retrospective examination of cutover forests enables the development of models that predict regeneration success as a function of plot conditions and time since disturbance. The modeling process uses a two-state system. In the first state, all plots are analyzed to predict the probability of stocking (at least one established seedling on the plot).

Effects of sample survey design on the accuracy of classification tree models in species distribution models

Publications Posted on: April 02, 2007
We evaluated the effects of probabilistic (hereafter DESIGN) and non-probabilistic (PURPOSIVE) sample surveys on resultant classification tree models for predicting the presence of four lichen species in the Pacific Northwest, USA. Models derived from both survey forms were assessed using an independent data set (EVALUATION).