A Method for Monitoring Long‐Term Population Trends: An Example Using Rare Arctic‐Alpine Plants

Populations of arctic‐alpine plants at the southern periphery of their range should respond rapidly to projected global warming. We established a study to monitor the density and reproductive effort of six such species in tundra of Glacier National Park, Montana to help project the fate of these spe...

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Bibliographic Details
Published in:Ecological Applications
Main Authors: Lesica, Peter, Steele, Brian M.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 1996
Subjects:
Online Access:http://dx.doi.org/10.2307/2269491
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.2307%2F2269491
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.2307/2269491
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Summary:Populations of arctic‐alpine plants at the southern periphery of their range should respond rapidly to projected global warming. We established a study to monitor the density and reproductive effort of six such species in tundra of Glacier National Park, Montana to help project the fate of these species in the center of their range. For many species, detecting long‐term population trends is confounded by short‐term variation. Our study design employs temporal resampling of permanent plots on multiple sites and a repeated‐measures model that accommodates the effects of high frequency variation and allows assessment of the significance of long‐term trends. Statistical analysis compares site‐specific estimates of annual mean density between two time periods and uses between‐plot, within‐site, within‐year variation to estimate error. Power calculations using data from the 3‐yr baseline period indicate that measurements of fecundity will be less sensitive for detecting long‐term trends than measurements of plant density. Furthermore, our results suggest that perennial species of closed‐turf communities may be better bioassays of long‐term change than annuals or species of open, ephemeral microsites.