To prevent simply reinforcing the trend line from which the missi

To prevent simply reinforcing the trend line from which the missing variable is calculated some error is added (Little and Rubin PI3K inhibitor 1987; SPSS 2004). After a complete dataset was constructed, data for each species were summarized by years of inventory, total number of years, number of sites, highest Tideglusib census number with year, final census number, actual percent decline (calculated using highest census versus final census), and percent

of data missing per species. These types of data (year and census) lend themselves to trend analysis using ordinary least squared analysis (Gotelli and Ellison 2004). These analyses were conducted using Systat version 11 (SPSS 2004). Each species was graphed showing total census on the Y-axis and year on the X-axis. The corresponding best fit line, R2 value and p-value were calculated. No white-tailed deer population estimates are available for Frederick County

or the Catoctin Mountains. White-tailed deer harvest data is available for Frederick County. These data were acquired from Brian Eyler (Wildlife and Heritage Service Deer Project Leader—Maryland Department of Natural Resources) and were used to provide an index of deer population size (Roseberry and Woolf 1991). An inverse correlation analysis comparing the overall orchid census from 1987 to 2008 to the annual Frederick County white-tailed deer harvest during the same time period was completed. The year 1987 was selected FHPI purchase for this analysis because this is the first year a complete dataset is available for all 21 species of orchids surveyed during the study. Results Nineteen species had significant Acetophenone declines, three species disappeared, one species was stable across the study and one expanded. Data is presented in three arbitrarily assigned categories for ease of presentation: species that disappeared, species with >90 % decline, and species with <90 % decline. Seven species showed a total decline of over 90 % (Table 1; Fig. 2), and nine showed declines from 51 to 87 % (Table 1; Fig. 3). Platanthera flava var. herbiola, did not decline, and P. ciliaris experienced significant growth (Table 1;

Fig. 3). The R2 values are presented on each species census graphs (Figs. 2, 3). All regressions had calculated p-values of <0.005. Fig. 2 Species with a >90 % total decline, including the ‘species that disappeared’. Census (Y-axis), year (X-axis) with name for each species abbreviated along the Y-axis. Top row: A. hyemale, C. maculata var. maculata, C. odontorhiza var. odontorhiza, C. parviflorum var. pubescens. Middle row: E. helleborine, L. liliifolia, P. orbiculata, S. lacera var. gracilis. Bottom row: S. ochroleuca, T. discolor Fig. 3 Species with a <90 % total decline. Census (Y-axis), year (X-axis) with name for each species abbreviated along the Y-axis. Top row: C. viride var. virescens, C. acaule, G. spectabilis, G. pubescens. Middle row: I. verticillata, P. ciliaris, P. clavellata, P. flava var. herbiola. Bottom row: P. grandiflora, P. lacera, S.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>