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Paleotemperature reconstruction in tropical Africa using fossil Chironomidae (Insecta: Diptera)

Hilde Eggermont, Oliver Heiri, James Russell, Mathias Vuille, Leen Audenaert and Dirk Verschuren UGent (2010) JOURNAL OF PALEOLIMNOLOGY. 43(3). p.413-435
abstract
Fossil assemblages of chironomid larvae (non-biting midges) preserved in lake sediments are well-established paleothermometers in north-temperate and boreal regions, but their potential for temperature reconstruction in tropical regions has never before been assessed. In this study, we surveyed sub-fossil chironomid assemblages in the surface sediments of 65 lakes and permanent pools in southwestern Uganda (including the Rwenzori Mountains) and central and southern Kenya (including Mount Kenya) to document the modern distribution of African chironomid communities along the regional temperature gradient covered by lakes situated between 489 and 4,575 m above sea level (a.s.l). We then combined these faunal data with linked Surface-Water Temperature (SWTemp: range 2.1-28.1 degrees C) and Mean Annual Air Temperature (MATemp: range 1.1-24.9 degrees C) data to develop inference models for quantitative paleotemperature reconstruction. Here we compare and discuss the performance of models based on different numerical techniques [weighted-averaging (WA), weighted-averaging partial-least-squares (WA-PLS) and a weighted modern analogue technique (WMAT)], and on subsets of lakes with varying gradient lengths of temperature and other environmental variables. All inference models calibrated against MATemp have a high coefficient of determination (r(jack)(2) = 0.81-0.97), low maximum bias (0.84-2.59 degrees C), and low root-mean-squared error of prediction (RMSEP = 0.61-1.50 degrees C). The statistical power of SWTemp models is generally weaker (r(jack)(2) = 0.77-0.95; maximum bias 1.55-3.73 degrees C; RMSEP = 1.39-1.98 degrees C), likely because the surface-water temperature data are spot measurements failing to catch significant daily and seasonal variation. Models based on calibration over the full temperature gradient suffer slightly from the limited number of study sites at intermediate elevation (2,000-3,000 m), and from the presence of morphologically indistinguishable but ecologically distinct taxa. Calibration confined to high-elevation sites (>3,000 m) has poorer error statistics, but is less susceptible to biogeographical and taxonomic complexities. Our results compare favourably with chironomid-based temperature inferences in temperate regions, indicating that chironomid-based temperature reconstruction in tropical Africa can be achieved.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Temperature, Midges, Transfer function, LAST GLACIAL MAXIMUM, INFERENCE MODEL, EAST-AFRICA, TEMPERATURE RECONSTRUCTION, PALEOCLIMATIC INDICATORS, QUANTITATIVE INDICATORS, AQUATIC INVERTEBRATES, RWENZORI MOUNTAINS, WATER TEMPERATURE, AIR-TEMPERATUR, East Africa, Chironomids
journal title
JOURNAL OF PALEOLIMNOLOGY
J. Paleolimn.
volume
43
issue
3
pages
413 - 435
Web of Science type
Article
Web of Science id
000275415900001
JCR category
GEOSCIENCES, MULTIDISCIPLINARY
JCR impact factor
2.676 (2010)
JCR rank
24/163 (2010)
JCR quartile
1 (2010)
ISSN
0921-2728
DOI
10.1007/s10933-009-9339-2
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1008634
handle
http://hdl.handle.net/1854/LU-1008634
date created
2010-07-12 00:06:35
date last changed
2016-12-19 15:42:10
@article{1008634,
  abstract     = {Fossil assemblages of chironomid larvae (non-biting midges) preserved in lake sediments are well-established paleothermometers in north-temperate and boreal regions, but their potential for temperature reconstruction in tropical regions has never before been assessed. In this study, we surveyed sub-fossil chironomid assemblages in the surface sediments of 65 lakes and permanent pools in southwestern Uganda (including the Rwenzori Mountains) and central and southern Kenya (including Mount Kenya) to document the modern distribution of African chironomid communities along the regional temperature gradient covered by lakes situated between 489 and 4,575 m above sea level (a.s.l). We then combined these faunal data with linked Surface-Water Temperature (SWTemp: range 2.1-28.1 degrees C) and Mean Annual Air Temperature (MATemp: range 1.1-24.9 degrees C) data to develop inference models for quantitative paleotemperature reconstruction. Here we compare and discuss the performance of models based on different numerical techniques [weighted-averaging (WA), weighted-averaging partial-least-squares (WA-PLS) and a weighted modern analogue technique (WMAT)], and on subsets of lakes with varying gradient lengths of temperature and other environmental variables. All inference models calibrated against MATemp have a high coefficient of determination (r(jack)(2) = 0.81-0.97), low maximum bias (0.84-2.59 degrees C), and low root-mean-squared error of prediction (RMSEP = 0.61-1.50 degrees C). The statistical power of SWTemp models is generally weaker (r(jack)(2) = 0.77-0.95; maximum bias 1.55-3.73 degrees C; RMSEP = 1.39-1.98 degrees C), likely because the surface-water temperature data are spot measurements failing to catch significant daily and seasonal variation. Models based on calibration over the full temperature gradient suffer slightly from the limited number of study sites at intermediate elevation (2,000-3,000 m), and from the presence of morphologically indistinguishable but ecologically distinct taxa. Calibration confined to high-elevation sites ({\textrangle}3,000 m) has poorer error statistics, but is less susceptible to biogeographical and taxonomic complexities. Our results compare favourably with chironomid-based temperature inferences in temperate regions, indicating that chironomid-based temperature reconstruction in tropical Africa can be achieved.},
  author       = {Eggermont, Hilde and Heiri, Oliver and Russell, James and Vuille, Mathias and Audenaert, Leen and Verschuren, Dirk},
  issn         = {0921-2728},
  journal      = {JOURNAL OF PALEOLIMNOLOGY},
  keyword      = {Temperature,Midges,Transfer function,LAST GLACIAL MAXIMUM,INFERENCE MODEL,EAST-AFRICA,TEMPERATURE RECONSTRUCTION,PALEOCLIMATIC INDICATORS,QUANTITATIVE INDICATORS,AQUATIC INVERTEBRATES,RWENZORI MOUNTAINS,WATER TEMPERATURE,AIR-TEMPERATUR,East Africa,Chironomids},
  language     = {eng},
  number       = {3},
  pages        = {413--435},
  title        = {Paleotemperature reconstruction in tropical Africa using fossil Chironomidae (Insecta: Diptera)},
  url          = {http://dx.doi.org/10.1007/s10933-009-9339-2},
  volume       = {43},
  year         = {2010},
}

Chicago
Eggermont, Hilde, Oliver Heiri, James Russell, Mathias Vuille, Leen Audenaert, and Dirk Verschuren. 2010. “Paleotemperature Reconstruction in Tropical Africa Using Fossil Chironomidae (Insecta: Diptera).” Journal of Paleolimnology 43 (3): 413–435.
APA
Eggermont, H., Heiri, O., Russell, J., Vuille, M., Audenaert, L., & Verschuren, D. (2010). Paleotemperature reconstruction in tropical Africa using fossil Chironomidae (Insecta: Diptera). JOURNAL OF PALEOLIMNOLOGY, 43(3), 413–435.
Vancouver
1.
Eggermont H, Heiri O, Russell J, Vuille M, Audenaert L, Verschuren D. Paleotemperature reconstruction in tropical Africa using fossil Chironomidae (Insecta: Diptera). JOURNAL OF PALEOLIMNOLOGY. 2010;43(3):413–35.
MLA
Eggermont, Hilde, Oliver Heiri, James Russell, et al. “Paleotemperature Reconstruction in Tropical Africa Using Fossil Chironomidae (Insecta: Diptera).” JOURNAL OF PALEOLIMNOLOGY 43.3 (2010): 413–435. Print.