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Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass

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Forest Ecosystems 2020年第4期7卷 760-769页

作者： Christoph Kleinn Steen Magnussen Nils Nölke Paul Magdon Juan GabrielÁlvarez-González Lutz Fehrmann César Pérez-Cruzado Forest Inventory and Remote Sensing Georg-August-Universität Göttingen37077 GöttingenGermany. Canadian Forest Service Natural Resources CanadaVictoriaBC V8Z 1M5Canada. Department of Agroforestry Engineering University of Santiago de CompostelaE-27002 LugoSpain

We contrast a new continuous approach(CA)for estimating plot-level above-ground biomass(AGB)in forest inventories with the current approach of estimating AGB exclusively from the tree-level AGB predicted for each tree in a plot,henceforth called DA(discrete approach).With the CA,the AGB in a forest is modelled as a continuous surface and the AGB estimate for a fixed-area plot is computed as the integral of the AGB surface taken over the plot *** with the CA,the portion of the biomass of in-plot trees that extends across the plot perimeter is ignored while the biomass from trees outside of the plot reaching inside the plot is *** use a sampling simulation with data from a fully mapped two hectare area to illustrate that important differences in plot-level AGB estimates can *** CA-based estimates of mean AGB should be less variable than those derived from the *** realized,this difference translates to a higher precision from field sampling,or a lower required sample *** our case study with a target precision of 5%(*** standard error of the estimated mean AGB),the CA required a 27.1%lower sample size for small plots of 100 m2 and a 10.4%lower sample size for larger plots of 1700 *** examined sampling induced errors only and did not yet consider model *** discuss practical issues in implementing the CA in field inventories and the potential in applications that model biomass with remote sensing *** CA is a variation on a plot design for above-ground forest biomass;as such it can be applied in combination with any forest inventory sampling design.

关键词： Branch biomass Foliage biomass Stem biomass Biomass surface plots Sampling surfaces standard error of estimation

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