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Position: Home > Articles > Influence of transect length and downed woody debris abundance on precision of the line-intersect sampling method Forest Ecosystems 2018,5

Influence of transect length and downed woody debris abundance on precision of the line-intersect sampling method

作  者：
Shawn Fraver;Mark J. Ducey;Christopher W. Woodall;Anthony W. D’Amato;Amy M. Milo;Brian J. Pali
单  位：
Department of Natural Resources and the Environment, University of New Hampshire, Durham, USA;US Forest Service, Northern Research Station, Durham, USA;Department of Biological Sciences, George Washington University, Washington, USA;Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, USA;School of Forest Resources, University of Maine, Orono, USA;US Forest Service, Northern Research Station, Grand Rapids, US
关键词：
Coarse woody debris;Copula model;Dead wood;Fuel loads;Forest structure;Forest carbo
摘  要：
Background: Accurate downed woody debris (DWD) volume or mass estimates are needed for numerous applications such as fuel loading, forest carbon, and biodiversity/habitat assessments. The line-intersect sampling (LIS) method of inventorying DWD is widely used in forest inventories and ecological studies because it is time-efficient and unbiased. Despite its widespread use, the appropriate transect length needed to achieve a desired precision at a particular location has received relatively little attention. Methods: We conducted intensive LIS sampling at 33 locations representing eight mature or old-growth forest types in northeastern USA, providing a range of forest conditions and DWD volumes (from 17 to 323 m(3).ha(-1)). We used these empirical field data to test, through simulations, the effect of increasing transect length (up to 340 m at each location) on precision of associated LIS volume estimates. Importantly, we used a novel application of copula models to account for within-transect spatial autocorrelation of DWD volumes during our simulations, thereby properly addressing variance estimates. Results: As expected, precision consistently improved with increasing cumulative transect length, and locations with lower DWD volumes required longer transects to achieve a given level of precision. We developed models relating precision, transect length, and DWD volume that allows us to gauge a suitable LIS transect length for desired precision levels. Conclusions: LIS provides an attractive method for estimating DWD volume for a given localized area of interest. For the forest types sampled here, and for the particular copula model framework employed, transect lengths of ca. 120 m provide a reasonable level of precision, ranging from 18% to 60% coefficients of variation.

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