1997
DOI: 10.1890/0012-9615(1997)067[0225:rgacfr]2.0.co;2
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Radial-Growth Averaging Criteria for Reconstructing Disturbance Histories From Presettlement-Origin Oaks

Abstract: A novel dendroecological procedure was developed to elucidate canopy disturbances spanning a >300‐yr period for oak (Quercus) forests of central Pennsylvania. Running comparisons of sequential 10‐yr ring‐width averages may effectively neutralize both short‐term (i.e., drought) and long‐term growth trends associated with climate while enhancing detection of abrupt and sustained radial‐growth increases characteristic of canopy disturbance. Thinning‐response studies revealed the conservative tendencies of oversto… Show more

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Cited by 276 publications
(495 citation statements)
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References 59 publications
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“…We identified the moment at which growth became significantly greater than before treatment, and how long this response persisted over a 10-year period. We analyzed 3-year periods instead of single years, to filter out the variability in diameter growth due to annual changes in temperature and precipitation [22,23]. Because the exact month of the partial harvest was unknown, we did not include the year of harvesting (year = 0) in the diameter growth analysis.…”
Section: Statistical Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…We identified the moment at which growth became significantly greater than before treatment, and how long this response persisted over a 10-year period. We analyzed 3-year periods instead of single years, to filter out the variability in diameter growth due to annual changes in temperature and precipitation [22,23]. Because the exact month of the partial harvest was unknown, we did not include the year of harvesting (year = 0) in the diameter growth analysis.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…After harvesting (years = 1 to 10), we used the moving average method to find differences generated by adding and dropping only one year at a time [24]. This method is frequently used in dendrochronology to search for the moment of the release of stems following disturbance of the canopy [23,25]. We constructed models for each individual seedling and post-harvesting period to compare the 8 post-harvesting periods with the pre-harvesting period (mean diameter increment of years −3 to −1).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…This would not be the case for dead trees if many of them had already died before the onset of the external influence. External factors, such as disturbance or climate, very often influence tree growth (Lorimer 1985;Nowacki and Abrams 1997), and this may lead to biased mortality models. The use of untruncated data will then confound climate or disturbance growth signals with tree vigour-related growth responses and will lead to high data specificity through the fitting of data-specific noise and, thus, to overfitted models (Harrell 2001).…”
Section: Discussionmentioning
confidence: 99%
“…La presencia de liberaciones abruptas del crecimiento en las series de ancho de anillos, las cuales se deben a la aparición de claros en el dosel arbóreo, se detectó mediante el filtro de porcentaje del cambio en el crecimiento (PCC) (Nowacki & Abrams 1997). Las liberaciones del crecimiento se detectaron mediante la fórmula PCC = [(M2 -M1) / M1] · 100, siendo M1 y M2 las tasas medias de crecimiento de los 10 años previos y subsiguientes a cada anillo considerado, respectivamente.…”
Section: Recolección Y Procesamiento De Muestrasunclassified