title: Assessment of tree response to drought: validation of a methodology to identify and test proxies for monitoring past environmental changes in trees.
abstract: A thinning experiment stand at Avoca, Ballinvalley, on the east coast of the Republic of Ireland was used to test a developed methodology aimed at monitoring drought stress, based on the analysis of growth rings obtained by coring. The stand incorporated six plots representing three thinning regimes (light, moderate and heavy) and was planted in the spring of 1943 on a brown earth soil. Radial growth (early- and latewood) was measured for the purpose of this study. A multidisciplinary approach was used to assess historic tree response to climate: specifically, the application of statistical tools such as principal component and canonical correlation analysis to dendrochronology, stable isotopes, ring density proxy, blue reflectance and forest biometrics. Results showed that radial growth was a good proxy for monitoring changes to moisture deficit, while maximum density and blue reflectance were appropriate for assessing changes in accumulated temperature for the growing season. Rainfall also influenced radial growth changes but not significantly, and was a major factor in stable carbon and oxygen discrimination, mostly in the latewood formation phase. Stable oxygen isotope analysis was more accurate than radial growth analysis in drought detection, as it helped detect drought signals in both early- and latewood while radial growth analysis only detected the drought signal in earlywood. Many studies have shown that tree rings provide vital information for marking past climatic events. This work provides a methodology to better identify and understand how commonly measured tree proxies relate to environmental parameters, and can best be used to characterize and pinpoint drought events (variously described using parameters such as like moisture deficit, accumulated temperature, rainfall and potential evaporation).
authors.affiliation: UCD Forestry, Agriculture and Food Science Centre, University College Dublin, Dublin, Ireland. armand.tene@ucd.ie
authors.forename: A
authors.initials: A
authors.lastname: Tene
authors.forename: B
authors.initials: B
authors.lastname: Tobin
authors.forename: J
authors.initials: J
authors.lastname: Dyckmans
authors.forename: D
authors.initials: D
authors.lastname: Ray
authors.forename: K
authors.initials: K
authors.lastname: Black
authors.forename: M
authors.initials: M
authors.lastname: Nieuwenhuis
mesh_terms: D002247:Carbon Isotopes / Q000032:analysis; D002482:Cellulose / Q000032:analysis; D057231:Climate Change; D055864:Droughts; D007494:Ireland; D015999:Multivariate Analysis; D010103:Oxygen Isotopes / Q000032:analysis; D028222:Picea / Q000254:growth & development / Q000502:physiology*; D010865:Pilot Projects; D025341:Principal Component Analysis / Q000379:methods*; D011891:Rain; D012044:Regression Analysis; D012987:Soil; D013696:Temperature; D014197:Trees / Q000254:growth & development / Q000502:physiology; D014934:Wood / Q000254:growth & development*
chemical_list: D002247:Carbon Isotopes; D010103:Oxygen Isotopes; D012987:Soil; D002482:Cellulose