Preprint Article Version 1 This version is not peer-reviewed

Examining the Relationship between Stand Density of Declining White Oaks (Quercus alba L.) and Soil Properties across the broader scale of the Eastern United States

Version 1 : Received: 1 November 2024 / Approved: 4 November 2024 / Online: 4 November 2024 (17:13:57 CET)

How to cite: Khadka, S.; Bardhan, S. Examining the Relationship between Stand Density of Declining White Oaks (Quercus alba L.) and Soil Properties across the broader scale of the Eastern United States. Preprints 2024, 2024110224. https://doi.org/10.20944/preprints202411.0224.v1 Khadka, S.; Bardhan, S. Examining the Relationship between Stand Density of Declining White Oaks (Quercus alba L.) and Soil Properties across the broader scale of the Eastern United States. Preprints 2024, 2024110224. https://doi.org/10.20944/preprints202411.0224.v1

Abstract

Effective management of white oak stand density is essential for maintaining biodiversity and ecosystem functions. This study examines the relationship between the stand density of declining white oaks and soil characteristics. Multicycle Forest Inventory data were aggregated to identify white oak plots throughout the eastern U.S. Stand density was calculated across plot systems that utilized basal area metrics across various states. Key soil variables were analyzed to assess their influence on stand density. The regression analyses revealed that these soil textures, including soil clay loam, fine sandy loam, and loamy fine sand had a significant negative impact on the stand density of declining white oaks (p ≤ 0.05), while both high and low extremes of TAW were positively associated with stand density. These findings underscore the critical role of soil properties in influencing the stand density of declining white oak populations. Insights from this study can support forest managers in assessing white oak stand conditions on a regional scale. Future work should expand on soil variables, integrating biotic and abiotic factors for a comprehensive approach to white oak conservation across the eastern U.S.

Keywords

white oak; stand density; soil variables; regression analyses; clay loam; TAW

Subject

Environmental and Earth Sciences, Environmental Science

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