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9 June 2020 Distinguishing Seedlings of Pines of Piedmont Upland Grassland Systems
Alexander Krings
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Abstract

Despite the ecological and economic importance of pines (Pinus) in the southeastern United States, there exist no taxonomic keys or resources that facilitate the comprehensive identification of pine seedlings. The objectives of this study were to analyze select aspects of seedling morphology for the three primary pines associated with Piedmont upland grassland systems of conservation concern (Pinus echinata, P. taeda, and P. virginiana) and subsequently to develop a resource, traditional or probabilistic, depending on the outcome, to facilitate species-level determination. Two characters—the number of primary needles in the first whorl post-germination and needle apical curvature relative to the stem—were assessed through analysis of 3,200 seedlings under field conditions. The mean number of primary needles in the first whorl was 5.9 (s.d.=0.56) for P. echinata, 7.3 (s.d.= 0.79) for P. taeda, and 5.3 (s.d.=0.63) for P. virginiana. Predominant needle apical curvature was away from the stem in P. echinata (90.5%) and P. virginiana (91.5%), but toward the stem in P. taeda (97.5%). Based on these data, a probabilistic diagnostic framework that takes into consideration both morphology and stand composition is presented, including supplemental appendices of calculated posterior probabilities.

Copyright 2020 Southern Appalachian Botanical Society
Alexander Krings "Distinguishing Seedlings of Pines of Piedmont Upland Grassland Systems," Castanea 85(1), 33-41, (9 June 2020). https://doi.org/10.2179/0008-7475.85.1.33
Received: 13 August 2018; Accepted: 17 December 2019; Published: 9 June 2020
KEYWORDS
Bayesian
juvenile trees
prairies
probabilistic identification
seedling identification
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