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McDowell, Nate G.; Adams, Henry D.; Bailey, John D.; Kolb, Thomas E.

The role of stand density on growth efficiency, leaf area index, and resin flow in southwestern ponderosa pine forests

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  • Medientyp: E-Artikel
  • Titel: The role of stand density on growth efficiency, leaf area index, and resin flow in southwestern ponderosa pine forests
  • Beteiligte: McDowell, Nate G.; Adams, Henry D.; Bailey, John D.; Kolb, Thomas E.
  • Erschienen: Canadian Science Publishing, 2007
  • Erschienen in: Canadian Journal of Forest Research
  • Sprache: Englisch
  • DOI: 10.1139/x06-233
  • ISSN: 0045-5067; 1208-6037
  • Entstehung:
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  • Beschreibung: <jats:p> We examined the response of growth efficiency (GE), leaf area index (LAI), and resin flow (RF) to stand density manipulations in ponderosa pine ( Pinus ponderosa Dougl. ex Laws.) forests of northern Arizona, USA. The study used a 40 year stand density experiment including seven replicated basal area (BA) treatments ranging from 7 to 45 m<jats:sup>2</jats:sup>·ha<jats:sup>–1</jats:sup>. Results were extended to the larger region using published and unpublished datasets on ponderosa pine RF. GE was quantified using basal area increment (BAI), stemwood production (NPP<jats:sub>s</jats:sub>), or volume increment (VI) per leaf area (A<jats:sub>l</jats:sub>) or sapwood area (A<jats:sub>s</jats:sub>). GE per A<jats:sub>l</jats:sub> was positively correlated with BA, regardless of numerator (BAI/A<jats:sub>l</jats:sub>, NPP<jats:sub>s</jats:sub>/A<jats:sub>l</jats:sub>, and VI/A<jats:sub>l</jats:sub>; r<jats:sup>2</jats:sup> = 0.84, 0.95, and 0.96, respectively). GE per A<jats:sub>s</jats:sub> exhibited variable responses to BA. Understory LAI increased with decreasing BA; however, total (understory plus overstory) LAI was not correlated with BA, GE, or RF. Opposite of the original research on this subject, resin flow was negatively related to GE per A<jats:sub>l</jats:sub> because A<jats:sub>l</jats:sub>/A<jats:sub>s</jats:sub> ratios decline with increasing BA. BAI, and to a lesser degree BA, predicted RF better than growth efficiency, suggesting that the simplest measurement with the fewest assumptions (BAI) is also the best approach for predicting RF. </jats:p>