You are logged in as an admin user. This page is cached for performance until Tue, 28 Jun 2022 21:18:18 GMT. Preview latest contents by clicking Refresh.
Logout

Tropical Dendroclimatology in Zambia: Brachystegia boehmii

Track:
Paleoclimate
What:
Poster
Part of:
When:
12:30, Wednesday 29 Jun 2022 (1 hour 30 minutes)
Where:
Salle polyvalente (SH-4800)   Virtual session

Click below to enter the virtual room.

Enter virtual room

Are you a speaker or staff?

Access for speakers and staff
How:
Discussion:
0

Dendroclimatology in the tropical forest regions has lagged behind the more temperate forested regions of the world because of the challenge of determining annual ring formation. Despite over 230 tropical tree species known to form annual rings, the ITRDB shows few published chronologies in tropical forests in Sub-Saharan Africa. As part of the first “Training in Tree-Ring Science and its Applications” workshop conducted in Kitwe, Zambia, our team explored the dendroclimatic potential of Brachystegia boehmii in the Miombo Woodland. Instrumental weather data is sparse for Zambia and extending records back in time requires interpolation from stations hundreds of kilometers away. To better place the present and future changes in climate in the context of past decades to centuries, we must develop annual proxies to model climate variables. Our work was guided by three research questions: 1) Does B. boehmii form annual rings?, 2) Do the tree ring crossdate within species at a single sampling location?, and 3) Do the annual ring widths correlate with monthly moisture variables like precipitation and drought? We collected two cores per tree from 20 trees. Our research indicates that B. boehmii does form annual rings with bands of terminal parenchyma but determination of ring boundaries can be difficult because of inter-annual banding. Crossdating samples at our site was difficult but possible. Our preliminary dating has 10 series with a series intercorrelation of 0.30. While this is low, correlations between trees indicates a common growth signal. Early analysis indicates that growing season precipitation is correlated with ring width. However, we expect this relationship will strengthen as we crossdate more samples. 
 

Speaker
Radford University
Associate Professor of Geospatial Science

Documents

Share this