10.07.2015 Views

Recovery Plan for the Northern Spotted Owl - DRAFT

Recovery Plan for the Northern Spotted Owl - DRAFT

Recovery Plan for the Northern Spotted Owl - DRAFT

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Obviously, <strong>the</strong>se statements hold only <strong>for</strong> powers well below 1.0 and <strong>for</strong>appropriate ranges of <strong>the</strong> variables, and as noted above, <strong>the</strong> specific predictionsof <strong>the</strong> regression model were often in error by 0.08 to 0. 1O or even more.None<strong>the</strong>less, <strong>the</strong> conclusions above provide at least a rough guideline to <strong>the</strong>ways that power is affected by altering <strong>the</strong> variables.This analysis suggests that a minimum of 8 years probably will be required <strong>for</strong>80 percent probability of detecting trends in owl populations unless suchtrends exceed 3 percent and more than 10 owls are recorded per 100 stations.Such a program probably would require that more than 1,000 stations bevisited per year. If 12 years of data are available to estimate trends, <strong>the</strong>n 600stations per year, if visited on a 4-year cycle, might be sufficient to detectannual trends in <strong>the</strong> 2 to 3 percent range, particularly if eight or more birdsare recorded per 100 stations. Obviously <strong>the</strong>se conclusions are based on <strong>the</strong>assumptions inherent in <strong>the</strong> model, and <strong>the</strong>se assumptions can be refined andimproved as data from <strong>the</strong> monitoring program are collected. Fur<strong>the</strong>rmore, itmust be remembered that <strong>the</strong>se surveys do not detect trends in <strong>the</strong> totalpopulation; <strong>the</strong>y provide in<strong>for</strong>mation only about <strong>the</strong> territorial population.Breeding Bird Survey data: Breeding Bird Survey data from a 25-year period(1966-1990) <strong>for</strong> hawks and owls were used as a surrogate <strong>for</strong> long-term spot-Table A.5. Description of data sets used to estimate number of years required toobtain reliable estimates of long-term trends.Average AverageState or Number Birds per Percent Autocor-Species Province Years Routes Route Change relationa4Turkey vulture Florida 1966-90 22 5.2 -1.4 1.99Maryland 1966-90 43 4.7 3.3 2.03Ohio 1966-89 24 1.5 3.1 1.50Oklahoma 1967-90 23 4.0 0.2 1.25+Black vulture Alabama 1966-90 28 2.1 2.1 2.56Florida 1966-90 21 4.7 0.1 1.78Red-tailed hawk Kansas 1967-90 29 2.1 1.1 2.07Oklahoma 1970-90 23 1.6 3.1 2.00Wisconsin 1966-90 57 0.7 4.3 2.18Red-shouldered hawk Florida 1971-90 23 2.0 0.9 3.01American kestrel New York 1974-90 46 1.4 -1.6 2.42Ohio 1974-90 24 1.3 1.4 2.38Ontario, Canada 1968-90 25 1.0 3.0 1.73Osprey Florida 1966-85 20 1.0 6.9 2.17Great horned owl Kansas 1967-90 29 0.7 2.2 2.48aBased on Durbin-Watson test with a = 0 05;1 = autocorrelation present260

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!