1996
DOI: 10.2307/2269491
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A Method for Monitoring Long‐Term Population Trends: An Example Using Rare Arctic‐Alpine Plants

Abstract: 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… Show more

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Cited by 17 publications
(13 citation statements)
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“…1991). This approach has been used to account for the multivariate nature of the data (site × year) using data collected from repeated measurements on the same experimental plots (Kent & Coker 1992; Guo & Brown 1996; Lesica & Steele 1996). Richness data were square root ( x + 0.5) and density data log ( x + 1) transformed prior to analysis.…”
Section: Methodsmentioning
confidence: 99%
“…1991). This approach has been used to account for the multivariate nature of the data (site × year) using data collected from repeated measurements on the same experimental plots (Kent & Coker 1992; Guo & Brown 1996; Lesica & Steele 1996). Richness data were square root ( x + 0.5) and density data log ( x + 1) transformed prior to analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Long-term trends in species abundances are often obscured by short-term £uctuations (Lesica & Steele, 1996) and for this reason, it is di⁄cult to interpret the observed changes.…”
Section: Species'changes After 45 Yearsmentioning
confidence: 99%
“…Hence, alpine plants are considered to be sensitive to climate warming (Lesica & Steele, 1996;Kö rner, 2003). This assumption is supported by an increasing number of observational studies (Walther et al, 2002;Walther, 2003).…”
Section: Introductionmentioning
confidence: 99%