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Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso

Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso
Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso
Here we propose two novel approaches to space-time analysis derived from space-time geostatistics in a kriging framework. The approaches were developed through analysis of a dataset recording the Apparent Density of Glossina palpalis gambiensis and Glossina tachinoides (Diptera: Glossinidae) in three riparian sites in Burkina Faso over 15 months between 2006 and 2007. This site is fragmented due to human activity in the area.
The first approach, Space Time Ordinary Kriging, does not consider the effect of fragmentation. It is used as a benchmark to test the increased explanatory power of the second method, which does account for fragmentation. The second method, Regression Space Time Simple Kriging, is a distinct improvement over the first approach because it allows for a spatial trend in the mean trap catch; this trend is related to, and later predicted from, environmental co-variates.
The results indicate the presence of space and time effects on tsetse distribution, dependent on the size of the habitat fragmentation patches. These effects occur at relatively small geographic scales within a season. Whilst such variation has long been suspected, the new methods presented here are able to quantify this variation precisely, so that seasonal and spatial comparisons can now be made both within and between species.
riverine tsetse-flies stationary covariance functions temporal variability diptera population prediction area trypanosomiasis epidemiology dynamics
0906-7590
772-783
Sedda, L.
ae6a74e0-ff67-4678-aefc-9976179294f6
Guerrini, L.
56469621-300f-40c4-857c-6c57040417c6
Bouyer, J.
d1ba4b03-cbde-4307-9d20-09f177074525
Kone, N.
5e0bdb30-14f9-44d6-8350-e0a36b16d3dc
Rogers, D. J.
658f04d4-bdb9-4ab2-bebb-539a94f85e99
Sedda, L.
ae6a74e0-ff67-4678-aefc-9976179294f6
Guerrini, L.
56469621-300f-40c4-857c-6c57040417c6
Bouyer, J.
d1ba4b03-cbde-4307-9d20-09f177074525
Kone, N.
5e0bdb30-14f9-44d6-8350-e0a36b16d3dc
Rogers, D. J.
658f04d4-bdb9-4ab2-bebb-539a94f85e99

Sedda, L., Guerrini, L., Bouyer, J., Kone, N. and Rogers, D. J. (2010) Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso. Ecography, 33 (4), 772-783. (doi:10.1111/j.1600-0587.2009.06135.x).

Record type: Article

Abstract

Here we propose two novel approaches to space-time analysis derived from space-time geostatistics in a kriging framework. The approaches were developed through analysis of a dataset recording the Apparent Density of Glossina palpalis gambiensis and Glossina tachinoides (Diptera: Glossinidae) in three riparian sites in Burkina Faso over 15 months between 2006 and 2007. This site is fragmented due to human activity in the area.
The first approach, Space Time Ordinary Kriging, does not consider the effect of fragmentation. It is used as a benchmark to test the increased explanatory power of the second method, which does account for fragmentation. The second method, Regression Space Time Simple Kriging, is a distinct improvement over the first approach because it allows for a spatial trend in the mean trap catch; this trend is related to, and later predicted from, environmental co-variates.
The results indicate the presence of space and time effects on tsetse distribution, dependent on the size of the habitat fragmentation patches. These effects occur at relatively small geographic scales within a season. Whilst such variation has long been suspected, the new methods presented here are able to quantify this variation precisely, so that seasonal and spatial comparisons can now be made both within and between species.

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More information

Published date: 2010
Additional Information: 654OC Times Cited:1 Cited References Count:49
Keywords: riverine tsetse-flies stationary covariance functions temporal variability diptera population prediction area trypanosomiasis epidemiology dynamics
Organisations: Global Env Change & Earth Observation

Identifiers

Local EPrints ID: 361778
URI: http://eprints.soton.ac.uk/id/eprint/361778
ISSN: 0906-7590
PURE UUID: 561b4655-c391-4351-9ca1-7fa65c5522b7

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Date deposited: 12 Feb 2014 11:31
Last modified: 14 Mar 2024 15:56

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Contributors

Author: L. Sedda
Author: L. Guerrini
Author: J. Bouyer
Author: N. Kone
Author: D. J. Rogers

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