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- 2Randomization test
- 1Artificial data
- 1Boreal forests
- 1Curve-fitting
- 1Distance of edge influence
- 1Edge effects
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Quantifying distance of edge influence: A comparison of methods and a new randomization method
Download2011
Abstract. Despite many studies on edge influence in forests, there is no common method for estimating distance of edge influence (DEI, ¼ edge width). We introduce a new randomization method (RTEI) for estimating DEI that tests the significance of edge influence compared to the reference forest....
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Structure and composition of riparian boreal forest: new methods for analyzing edge influence
Download2001
Abstract: Riparian ecotones at lakeshore edges are prominent features on the heterogeneous boreal forest landscape. We introduce a new method (the critical values approach): which incorporates inherent variability in interior forest, to quantify distance of edge influence at lakeshore forest...
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