IDENTIFYING FUNCTIONAL GROUPS OF TREES IN WEST GULF COAST FORESTS (USA): A TREE-RING APPROACH

A dendroclimatic study of important tree species in the west Gulf Coastal Plain region, USA, was conducted to evaluate how climate affects tree radial growth in this southeasternmost section of the Eastern Deciduous Forest/Southern Evergreen Forest. We established an east–west transect from western Louisiana to central Texas that crossed the western range limits of each of 16 species and developed a network of 104 annual tree ring-width chronologies from 38 sites. Of the 104 chronologies, 99 series from the genera Pinus, Quercus, and Fagus were analyzed using rotated principal components analysis (RPCA). The RPCA revealed the presence of three robust phylogenetic signals in the tree-ring patterns, which partitioned the data into the Pinus species (PISP), the oak species in the black oak subgenus Erythrobalanus (QUBO), and the oak species in the white oak subgenus Leucobalanus (QUWO). The Fagus chronologies (FAGR) also loaded most highly with the QUWO series, resulting in a combined QUWO/FAGR factor. This partitioning occurred even though tree species within each phylogenetic group came from contrasting xeric and mesic sites and, in the case of the QUWO/FAGR factor, from different genera. Only in the xeric western range limits of the transect did site location begin to override the phylogenetic groupings. Consequently, responses to climate based on genetics appeared to be more important than ecological and site characteristics in determining the tree-ring patterns of the sampled species overall. We tested this hypothesis by independently modeling the dendroclimate signals in the tree-ring chronologies using monthly precipitation and maximum temperature data. The resulting climate correlation functions were subjected to RPCA as before. As we did so, the same phylogenetic groups emerged. All of the chronologies were drought sensitive. However, the phylogenetic differences in climate response were related to differences in the timing of the peak monthly responses to climate and to the differing patterns of climate response in the months prior to the current growing season. The findings of this study indicate that there is an underlying organizing principle based on genetics that determines how certain phylogenetic groups of trees respond to climate in a way that is largely independent of the site environment. At a coarse level, these phylogenetic distinctions persist even at the most stressed sites near tree range limits, though distinctions within genera start to break down. These findings therefore suggest functional groupings of tree species, which can be used in vegetation/climate models that attempt to predict realistically how such forests will respond to future climate changes.

[1]  M. Richman,et al.  Rotation of principal components , 1986 .

[2]  R. Kobe,et al.  Intraspecific Variation in Sapling Mortality and Growth Predicts Geographic Variation in Forest Composition , 1996 .

[3]  P. Harcombe,et al.  Community Diversity of Coastal Plain Forests in Southern East Texas , 1975 .

[4]  P. Lamb On the Development of Regional Climatic Scenarios for Policy-Oriented Climatic-Impact Assessment , 1987 .

[5]  G. Nowacki,et al.  RADIAL-GROWTH AVERAGING CRITERIA FOR RECONSTRUCTING DISTURBANCE HISTORIES FROM PRESETTLEMENT-ORIGIN OAKS , 1997 .

[6]  Ronald P. Neilson,et al.  Biogeography of two southwest American oaks in relation to atmospheric dynamics , 1983 .

[7]  L. Brubaker Spatial Patterns of Tree Growth Anomalies in the Pacific Northwest , 1980 .

[8]  E. Cook,et al.  On predicting the response of forests in eastern North America to future climatic change , 1991 .

[9]  Ricardo Villalba,et al.  Climatic influences on the growth of subalpine trees in the Colorado Front Range , 1994 .

[10]  R. Holmes Computer-Assisted Quality Control in Tree-Ring Dating and Measurement , 1983 .

[11]  C. L. Mohler Co-occurrence of oak subgenera : implications for niche differentiation , 1990 .

[12]  Ian R. Noble,et al.  A functional classification for predicting the dynamics of landscapes , 1996 .

[13]  F. Woodward,et al.  Climate and plant distribution at global and local scales , 1987 .

[14]  H. Fritts RELATIONSHIPS OF RING WIDTHS IN ARID-SITE CONIFERS TO VARIATIONS IN MONTHLY TEMPERATURE AND PRECIPITATION' , 1974 .

[15]  L. Graumlich Response of tree growth to climatic variation in the mixed conifer and deciduous forests of the upper Great Lakes region , 1993 .

[16]  Andrew M. Greller,et al.  Correlation of warmth and temperateness with the distributional limits of zonal forests in eastern North America , 1989 .

[17]  P. Harcombe,et al.  Why Don't East Texas Savannas Grow Up to Forest? , 1982 .

[18]  Harald Bugmann,et al.  Functional types of trees in temperate and boreal forests: classification and testing , 1996 .

[19]  A. Prasad,et al.  PREDICTING ABUNDANCE OF 80 TREE SPECIES FOLLOWING CLIMATE CHANGE IN THE EASTERN UNITED STATES , 1998 .

[20]  W. Platt,et al.  EFFECTS OF FIRE REGIME AND HABITAT ON TREE DYNAMICS IN NORTH FLORIDA LONGLEAF PINE SAVANNAS , 1995 .

[21]  Wolfgang Cramer,et al.  Plant functional types and climatic change: Introduction , 1996 .

[22]  P. Harcombe,et al.  Disturbance, succession, and maintenance of species diversity in an East Texas forest. , 1986 .

[23]  P. Harcombe,et al.  Forest Vegetation of the Big Thicket, Southeast Texas , 1981 .

[24]  V. Lamarche,et al.  Anomaly Patterns of Climate Over the Western United States, 1700 1930, Derived from Principal Component Analysis of Tree-Ring Data , 1971 .

[25]  Elgene O. Box,et al.  Plant functional types and climate at the global scale , 1996 .