Spatial pattern corrections and sample sizes for forest density estimates of historical tree surveys

Brice B. Hanberry; Shawn Fraver; Hong S. He; Jian Yang; Dan C. Dey; Brian J. Palik

doi:10.1007/s10980-010-9533-7

Spatial pattern corrections and sample sizes for forest density estimates of historical tree surveys

Informally Refereed

Authors:	Brice B. Hanberry, Shawn Fraver, Hong S. He, Jian Yang, Dan C. Dey, Brian J. Palik
Year:	2011
Type:	Scientific Journal (JRNL)
Station:	Northern Research Station
DOI:	https://doi.org/10.1007/s10980-010-9533-7
Source:	Landscape Ecology. 26: 59-68.

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Abstract

The U.S. General Land Office land surveys document trees present during European settlement. However, use of these surveys for calculating historical forest density and other derived metrics is limited by uncertainty about the performance of plotless density estimators under a range of conditions. Therefore, we tested two plotless density estimators, developed by Morisita and Pollard, for two, three, and four trees per survey point under simulated ranges of tree densities, non-uniform densities, and different tree spatial distributions. Based on these results, we developed estimator corrections and determined number of survey points needed for reliable density estimates.

Keywords

General Land Office, Morisita, pointcentered, quarter, Pollard, presettlement forests, public land survey

Citation

Hanberry, Brice B.; Fraver, Shawn; He, Hong S.; Yang, Jian; Dey, Dan C.; Palik, Brian J. 2011. Spatial pattern corrections and sample sizes for forest density estimates of historical tree surveys. Landscape Ecology. 26: 59-68.