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

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Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso. / Sedda, Luigi; Guerrini, Laure; Bouyer, Jeremy et al.
In: Ecography, Vol. 33, No. 4, 09.2010, p. 772-783.

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Sedda L, Guerrini L, Bouyer J, Kone N, Rogers DJ. Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso. Ecography. 2010 Sept;33(4):772-783. Epub 2010 Apr 12. doi: 10.1111/j.1600-0587.2009.06135.x

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@article{0ead9fdf712543da8761fd44d4385557,
title = "Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso",
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.",
keywords = "RIVERINE TSETSE-FLIES, STATIONARY COVARIANCE FUNCTIONS, TEMPORAL VARIABILITY, DIPTERA, POPULATION, PREDICTION, AREA, TRYPANOSOMIASIS, EPIDEMIOLOGY, DYNAMICS",
author = "Luigi Sedda and Laure Guerrini and Jeremy Bouyer and Naferima Kone and Rogers, {David J.}",
year = "2010",
month = sep,
doi = "10.1111/j.1600-0587.2009.06135.x",
language = "English",
volume = "33",
pages = "772--783",
journal = "Ecography",
issn = "0906-7590",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Spatio-temporal modelling of Glossina palpalis gambiensis and Glossina tachinoides apparent densities in fragmented ecosystems of Burkina Faso

AU - Sedda, Luigi

AU - Guerrini, Laure

AU - Bouyer, Jeremy

AU - Kone, Naferima

AU - Rogers, David J.

PY - 2010/9

Y1 - 2010/9

N2 - 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.

AB - 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.

KW - RIVERINE TSETSE-FLIES

KW - STATIONARY COVARIANCE FUNCTIONS

KW - TEMPORAL VARIABILITY

KW - DIPTERA

KW - POPULATION

KW - PREDICTION

KW - AREA

KW - TRYPANOSOMIASIS

KW - EPIDEMIOLOGY

KW - DYNAMICS

U2 - 10.1111/j.1600-0587.2009.06135.x

DO - 10.1111/j.1600-0587.2009.06135.x

M3 - Journal article

VL - 33

SP - 772

EP - 783

JO - Ecography

JF - Ecography

SN - 0906-7590

IS - 4

ER -