The annual ring growth models of healthy Xingkai Lake pine and pine gall tissues caused by C. quercuum were y(health)= 61. 971 4(1-e~(-0.015, 5x)~1.0611 and y(gall) =254. 297 7(1 - e~(-0.010, 2x)~1.0708.

The variation in ring growth indices of Picea meyeri was assessed by dendrochronological techniques including response functions, correlation functions and single-year analysis on sandy dunes in the Xilin River basin steppe.

Through the analysis on the dynamics of flooding and the annual ring series of poplar trees on the beach land of Yangtze river in Anhui in the period of 1989～1997,the related models on flooded situation and ring growth were built.

It is obtained by calculation:1. the index K of water-heat has the obvious sensibi-lity information cont-ent and restrictive factor, and linear correlation biologically; 2. the wate-rheat index of yearly ring growth has the obvious retarded feature andcontinuity;

At 5 different stem heights,the basic density,width of annual ring,growth rate, late-wood rate and fibril angles of tracheid chord wall of the subject wood have been systematically measured and statistically analysed. The results are as follows. The besic density decreases as the stem height goes up,but the difference among different heights is not obvious.

We find evidence for a modulation period of the annual ring growth widths on time scale of 11 y to 15 y.

Response function and correlation analyses showed that spring precipitation (May-June) is the critical limiting factor for tree-ring growth, and temperature in prior November may also play a role in affecting tree-ring growth.

The four upper forest border chronologies all show an anomalous increase in growth since the late 19th century, and an apparent change in climate control of ring growth.

Annual ring growth of the sample trees showed neither intervention nor growth reduction, which implies strong environmental stress that may cause mortality in PAA trees.

Variations in tree ring growth of Quercus suber L.

This article approaches the impact of water-heat complex factor toyearly ring from its growth in desert region. It is obtained by calculation:1. the index K of water-heat has the obvious sensibi-lity information cont-ent and restrictive factor, and linear correlation biologically; 2. the wate-rheat index of yearly ring growth has the obvious retarded feature andcontinuity; 3. the index of water-heat has different long period and shortperiod; 4. after the square difference simulation, the future K value...

This article approaches the impact of water-heat complex factor toyearly ring from its growth in desert region. It is obtained by calculation:1. the index K of water-heat has the obvious sensibi-lity information cont-ent and restrictive factor, and linear correlation biologically; 2. the wate-rheat index of yearly ring growth has the obvious retarded feature andcontinuity; 3. the index of water-heat has different long period and shortperiod; 4. after the square difference simulation, the future K value willbe lower than the average value period in 1988-1993; higher than the ave-rage value period in 1994-1998; and after 2000, will take a tendency ofincrease.

The response functions of Altai dendro-chronologies is established by the re-gression after extracting the principal components and doing the fuzzy cluster for it.Also their differences are compared.Tae results is valuable to recostruct cli-mate and helpful to know the relations between climate and tree-ring growth in the different habitats.

Using 22 tree-ring chronologies as a basis,doing response function analysis between tree-ring chronology and climate,selecting 10 stable and reliable response functions to do summary analysis,we find that the precipitation in March,May and June are the main factors which limit the tree-ring climatic growth of spruce in Yili area. Canonical correlation analysis point out a high correlation between the precipitation' field in May to June and the tree-ring field. The contrast analysis of typical yEars between...

Using 22 tree-ring chronologies as a basis,doing response function analysis between tree-ring chronology and climate,selecting 10 stable and reliable response functions to do summary analysis,we find that the precipitation in March,May and June are the main factors which limit the tree-ring climatic growth of spruce in Yili area. Canonical correlation analysis point out a high correlation between the precipitation' field in May to June and the tree-ring field. The contrast analysis of typical yEars between the precipitation in May to Juneand tree-ring chronology show that the influence of the precipitation in the period on the tree-ring growth in'the south slope of north Tianshan mountain is greater than that in the north slope of south Tianshan mountain.On the averager,in Yili area,when the precipitation in May to June is 10% less than iiis mean,the treering'climatic growth of spruce is 6. 2% less than iiis mean. When the precipitation in May to June is 10%more than iiis mean,the tree-ring climatic growth is 2. 4% more than ii's mean.